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Type | Vorlesung mit Übung |
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Title | E5059 Public Service Delivery in Developing Countries |
Lecturer | Dr. Nicholas Barton |
Semester | irregular |
Target Audience | Elective module for Master in Economics |
Start, End/ Time & Location | Please find the latest data under our Course Catalog |
Course language | English |
Prerequisites | E601–603 or equivalent |
Examination | tbd |
ECTS | 7 |
Course description | Goals and contents of the module: Further information: Recommended literature will be discussed in class. Expected number of students in class: 15 |
Type | Blockseminar |
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Title | Entwicklungsökonomie |
Lecturer | |
Semester | Autumn semester 2018 |
Target Audience | Bachelor |
Start, End/ Time & Location | Please find the latest data under our Course Catalog |
Course language | German |
Prerequisites | Grundlagen der Ökonometrie |
Examination | written seminar thesis, presentation, supplementary paper, active participation during the seminar |
ECTS | 6 |
Course description | Ziele und Inhalte des Moduls: Das Seminar umfasst aktuelle Themen bezogen auf Arbeitsmärkte in Entwicklungsländern mit einem empirischen mikroökonometrischen Fokus. Die Themen beinhalten unter anderem: Kinderarbeit,informelle Arbeitsmärkte, Unternehmertum, die Schaffung von Firmen, Arbeitsmarktregulierungen, Mikrokredite, Mikroversicherungen, etc. Die Seminartermine werden nach den Wünschen der Studierenden ausgewählt. DieStudierenden sollen aktuelle Probleme von Entwicklungsländern erörtern und erkennen sowie empirische Studien zudiesen Fragen bewerten und diskutieren. In diesem Sinne ist es eine Mischung zwischen einem reinen Seminar zu Entwicklungsländern und einem angewandten Ökonometrieseminar. Die Studierenden sollen also auch angewandte ökonometrische Papiere verstehen, diskutieren und vorstellen, um die konkrete empirische Forschungsweise zuerlernen. Das Seminar ist insbesondere auch als eine Vorbereitung auf eine mögliche Bachelorarbeit im Bereich derangewandten empirischen Forschung gedacht, welche dann üblicherweise eine eigenständige ökonometrische Analyse mit Sekundärdaten verlangt. Das Seminar stellt somit eine Brückenfunktion zwischen den Grundlagenvorlesungen zur Ökonometrie, welche eher das Methodenwissen vermitteln, und der eigenständigen empirischen Analyse in derwissenschaftlichen Forschung dar. |
Registration | tbd |
Downloads | Richtlinien Seminararbeiten am LS Prof. Frölich |
Type | Vorlesung mit Übung (PC-Pool erforderlich) |
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Title | Impact Evaluation |
Lecturer | Dr. Giulia Montresor |
Semester | Every spring semester |
Target Audience | Elective course for B.Sc. Economics |
Start, End/ Time & Location | Please find the latest data under our Course Catalog |
Course language | English |
Prerequisites | Statistik I+II, Grundlagen der Ökonometrie |
Examination | tbd |
ECTS | 6 |
Grading and ECTS credits | 80 % final exam (90 minutes), 20 % homework. |
Course description | Goals and contents of the module:
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Registration | tbd |
Type | Vorlesung mit Übung |
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Title | Statistics and Stata |
Lecturer | Dr. Atika Pasha, Dr. Ingo Steinke |
Semester | every spring semester |
Target Audience | Elective course for B.Sc. Economics |
Start, End/ Time & Location | Please find the latest data under our Course Catalog |
Course language | English |
Prerequisites | Statistik I+II, Grundlagen der Ökonometrie |
Examination | tbd |
ECTS | 6 |
Course description | Goals and contents of the module: |
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Title | E820 Experimental Econometrics and RCTs in Development Economics |
Lecturer | Prof. Dr. Markus Frölich |
Semester | each semester |
Course level | PhD |
Start, End/ Time & Location | Please find the latest data under our Course Catalog |
Course language | English |
Prerequisites | E700 – E703, E801 – E806 |
Examination | presentation and seminar paper |
ECTS | 5 |
Course description | The seminar prepares for own research in theoretical econometrics. This seminar covers recent developments in microeconometrics with a particular focus on identification and estimation strategies that deal with endogeneity issues. Preference will be given to articles in Econometrica, recently published or forthcoming. |
Art der Veranstaltung | Lecture and exercise |
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Titel der Veranstaltung | E5031 Applied Labour Economics |
Dozent | Prof. Dr. Markus Frölich |
Semester | FSS2018 |
Zeit & Ort Vorlesung | Please find the latest data under our Course Catalog |
Zeit & Ort Übung | Please find the latest data under our Course Catalog |
Teaching methond (hours per week) | Lecture (2) + exercises (2) |
Kurssprache | Englisch |
Voraussetzungen | E601 – E603 |
Prüfung | tba |
ECTS | 9 |
Kursbeschreibung | Goals and contents of the module: This course will focus on different micro-econometric models using actual empirical studies from the field of laboureconomics. Starting from the standard theory of competitive labour markets, we introduce the concept of human capital, toexplain wage differences between individuals, and explore the role of education. Exploring the Mincer earnings function,discrimination and unemployment, the students will learn how to analyse actual labour data sets using Stata. The first partof the course will deal with linear panel data models and instrumental regressions, the second part will focus on discretechoice models. This course will end with the introduction of non-parametric estimators.Expected competences acquired after completion of the module:Ability to use Stata to conduct independent micro-econometric analysis and apply advanced micro-economic models.Further information:Introductory literature: |
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Type | Lecture and exercise |
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Title | E5059 Public Service Delivery in Developing Countries |
Lecturer | |
Semester | Frühjahrs-/Sommersemester 2018 |
Target Audience | Master |
Start/ |
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Time & Location Lecture | Please find the latest data under our Course Catalog |
Time & Location Tutorial |
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Course language | English |
Prerequisites | E601 – E603 or equivalent |
Homework and grading | tbd |
ECTS | 7 |
Course description | Goals and contents of the module: In this course, we will study both theoretically and empirically how best to motivate public servants with a focus on developingcountries. We will start with the traditional theory of motivation, looking at how incentive contracts and selection can affectperformance in the public sector and examine the results of experiments that have changed the incentive structure of publicservants. We will also examine a newer literature that focusses on how identity is shaped in the work place and notes thatworkers who are intrinsically motivated to work may not respond well to explicit incentives. Again, we will look at experimentalevidence that examines to what extent these theories are important in the real world.Expected competences acquired after completion of the module:Students will gain an understanding of the theory of incentives as well as how these apply to the real world in developingcountries. The course also aims to give students a better understanding of the empirical methods used in applied work onthe subject of incentivising public-sector workers.Further information: Recommended literature will be discussed in class. |
Downloads |
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Type | Seminar |
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Title | E820 Experimental Econometrics and RCTs in Development Economics |
Lecturer | Prof. Dr. Markus Frölich |
Semester | Spring semester 2018 |
Target Audience | PhD |
Lecture Times | Please find the latest data under our Course Catalog |
Presentations: |
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Course language | English |
Prerequisites | E700 – E703, E801 – E806 |
Examination | seminar paper and presentations |
ECTS | 5 |
Course description | The seminar prepares for own research in theoretical econometrics. This seminar covers recent developments inmicroeconometrics with a particular focus on identification and estimation strategies that deal with endogeneity issues.Preference will be given to articles in Econometrica, recently published or forthcoming.Expected Competences acquired after completion of the module:On successful completion of the module, students are expected to attain the following competences:- Attain advanced knowledge in econometric theory.- Attain a higher/ |
Registration | tbd |
Downloads |
Type | Seminar |
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Title | Entwicklungsökonomie |
Lecturer | Prof. Dr. Carsten Trenkler |
Semester | Spring semester 2018 |
Target Audience | Bachelor |
Lecture Times | Please find the latest data under our Course Catalog |
Presentations: |
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Course language | German |
Prerequisites | Grundlagen der Ökonometrie |
Examination | seminar paper, presentations, supplementary paper |
ECTS | 6 |
Course description | Das Seminar umfasst aktuelle Themen bezogen auf Arbeitsmärkte in Entwicklungsländernmit einem empirischen mikroökonometrischen Fokus. Die Themen beinhalten unter anderem: Kinderarbeit,informelle Arbeitsmärkte, Unternehmertum, die Schaffung von Firmen, Arbeitsmarktregulierungen, Mikrokredite,Mikroversicherungen, etc. Die Seminartermine werden nach den Wünschen der Studierenden ausgewählt. DieStudierenden sollen aktuelle Probleme von Entwicklungsländern erörtern und erkennen sowie empirische Studien zudiesen Fragen bewerten und diskutieren. In diesem Sinne ist es eine Mischung zwischen einem reinen Seminar zuEntwicklungsländern und einem angewandten Ökonometrieseminar. Die Studierenden sollen also auch angewandteökonometrische Papiere verstehen, diskutieren und vorstellen, um die konkrete empirische Forschungsweise zuerlernen. Das Seminar ist insbesondere auch als eine Vorbereitung auf eine mögliche Bachelorarbeit im Bereich derangewandten empirischen Forschung gedacht, welche dann üblicherweise eine eigenständige ökonometrische Analysemit Sekundärdaten verlangt. Das Seminar stellt somit eine Brückenfunktion zwischen den Grundlagenvorlesungenzur Ökonometrie, welche eher das Methodenwissen vermitteln, und der eigenständigen empirischen Analyse in derwissenschaftlichen Forschung dar.Erwartete Kompetenzen nach Abschluss des Moduls: Die Studierenden haben gelernt, einen Aufsatz zu einem Themaaus der Entwicklungsökonomie zu schreiben und zu präsentieren, wobei sie den Bezug zu mikroökonomischenModellen und insbesondere empirisch-ökonometrischer Analyse herausgearbeitet haben. Dies umfasst somit auch einekritische Analyse und Begutachtung von empirischen Studien und deren Methodik, insbesondere der Ökonometrie, derDatengrundlage und der Umsetzung der empirischen Herangehensweise. |
Registration | tbd |
Downloads |
Type | Lecture and exercise |
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Title | Impact Evaluation |
Lecturer | Dr. Giulia Montresor |
Semester | Spring semester 2018 |
Target Audience | Bachelor |
Lecture Times | Please find the latest data under our Course Catalog |
Presentations: |
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Course language | English |
Prerequisites | Statistik I+II, Grundlagen der Ökonometrie |
Examination | tbd |
ECTS | 6 |
Course description | Goals and contents of the module: The course is designed for introducing students to the main empirical strategies thatare typically used for impact evaluation: Randomized Control Trials, Identification on Observables, Instrumental Variables,Difference-in-Difference, Regression Discontinuity Design. Students will be both exposed to fundamental concepts behindthe estimation of causal effects and related applied applications. Students will be asked to actively participate and presenttheir project homework.Expected competences acquired after completion of the module: |
Registration | tbd |
Downloads |
Type | Lecture and exercise |
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Title | Statistics and Stata |
Lecturer | Dr. Atika Pasha + Dr. Ingo Steinke |
Semester | Spring semester 2018 |
Target Audience | Bachelor |
Lecture Times | Please find the latest data under our Course Catalog |
Presentations: |
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Course language | English |
Prerequisites | Statistik I+II, Grundlagen der Ökonometrie |
Examination | tbd |
ECTS | 6 |
Course description | Goals and contents of the module: The course gives an introduction into the data management in Stata. That includeshow to set up do-files, the preparation of data for analysis, the generation of variables, the use of macros in Stata, and themerging of data sets. Basic and advanced statistical procedures will be discussed in the course. For each model, therewill be an introduction to the statistical model and it will be shown how to analyze the corresponding data with Stata andhow to interpret the output of Stata. The models considered are some elementary statistical models, the linear regressionmodel with homoscedastic and heteroscedastic error terms, analysis of variance models, linear panel data models,nonlinear regression models and binary and multinomial models. |
Registration | tbd |
Downloads | tbd |
Type | Blockseminar |
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Title | Entwicklungsökonomie |
Lecturer | |
Semester | Autumn semester 2018 |
Target Audience | Bachelor |
Start, End/ Time & Location | Please find the latest data under our Course Catalog |
Course language | German |
Prerequisites | Grundlagen der Ökonometrie |
Examination | written seminar thesis, presentation, supplementary paper, active participation during the seminar |
ECTS | 6 |
Course description | Ziele und Inhalte des Moduls: Das Seminar umfasst aktuelle Themen bezogen auf Arbeitsmärkte in Entwicklungsländern mit einem empirischen mikroökonometrischen Fokus. Die Themen beinhalten unter anderem: Kinderarbeit,informelle Arbeitsmärkte, Unternehmertum, die Schaffung von Firmen, Arbeitsmarktregulierungen, Mikrokredite, Mikroversicherungen, etc. Die Seminartermine werden nach den Wünschen der Studierenden ausgewählt. DieStudierenden sollen aktuelle Probleme von Entwicklungsländern erörtern und erkennen sowie empirische Studien zudiesen Fragen bewerten und diskutieren. In diesem Sinne ist es eine Mischung zwischen einem reinen Seminar zu Entwicklungsländern und einem angewandten Ökonometrieseminar. Die Studierenden sollen also auch angewandte ökonometrische Papiere verstehen, diskutieren und vorstellen, um die konkrete empirische Forschungsweise zuerlernen. Das Seminar ist insbesondere auch als eine Vorbereitung auf eine mögliche Bachelorarbeit im Bereich derangewandten empirischen Forschung gedacht, welche dann üblicherweise eine eigenständige ökonometrische Analyse mit Sekundärdaten verlangt. Das Seminar stellt somit eine Brückenfunktion zwischen den Grundlagenvorlesungen zur Ökonometrie, welche eher das Methodenwissen vermitteln, und der eigenständigen empirischen Analyse in derwissenschaftlichen Forschung dar. |
Registration | Bitte beachten Sie den gemeinsamen Anmeldezeitraum für Seminare des BachelorstudiengangsVWL: 18. November 2018 (22:00 Uhr) bis 23. November 2018 (24:00 Uhr) |
Downloads | List of Topics |
FAQ | |
Richtlinien |
Type | Lecture |
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Title | Behavioral Development Economics |
Lecturer | Dr. Arne Robert Weiss |
Semester | Autumn semester 2018 |
Target Audience | Bachelor |
Start, End Time and Location | Please find the latest data under our Course Catalog |
Course language | English |
Prerequisites | Mikroökonomik A + B, Statistik I + II |
Examination | 90 min Exam (70%), presentation (30%) |
ECTS | 5 |
Course description | Goals and contents of the module: This course will cover the “behavioral turn“ in development economics, from “thinkingbig” to “thinking small”. We will cover the relevance of behavioral economics to development, structured along theoreticalmechanisms, in areas such as decisions on consumption and spending, savings, health, and production. Furthermore,we will discuss how to learn from experiments, the arguably primary source of evidence in behavioral developmenteconomics, for theory-building and development policy. |
Downloads |
Type | Lecture and exercise |
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Title | E5026 Programming in Stata |
Lecturer | Dr. Atika Pasha, Dr. Ingo Steinke |
Semester | Autumn term 2018 |
Target Audience | Master |
Start/ Time & Location | Please find the latest data under our Course Catalog |
Course language | English |
Prerequisites | E601 – 603 (or equivalent) |
Examination | tbd |
ECTS | 7 |
Course description | Goals and contents of the module: Further information: Cameron/ |
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Type | Lecture + Exercise |
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Title | E5040 Impact Evaluation |
Lecturer | |
Semester | Autumn semester 2018 |
Target Audience | Master |
Start/ Time & Location | Please find the latest data under our Course Catalog |
Course language | English |
Prerequisites | E601 – E603 (or equivalent) |
Examination |
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ECTS | 7 |
Course description | Goals and contents of the module: Preliminary schedule: In this course we will cover impact evaluation methodsas well as models for survey methodology. Topics will include counterfactual outcomes, heterogeneous treatmenteffects, (propensity) score matching, differences in differences, instrumental variables designs, randomized control trials,regression discontinuity design and various methods for collecting primary data. More details will follow.Expected competences acquired after completion of the module:The students become acquainted with modern methods in impact evaluation. |
Registration |
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Downloads |
Type | Lecture + exercise |
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Title | E5078 Global Health |
Lecturer | Esther Heesemann |
Semester | Autumn semester 2018 |
Target Audience | Master (Electice course) |
Start/ Time & Location | Please find the latest data under our Course Catalog |
Course language | English |
Prerequisites | e601 – E603 (or equivalent) |
Examination |
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ECTS | 7 |
Course description | Goals and contents of the module: |
Registration | |
Downloads |
Type | Lecture + exercise |
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Title | E603 Advanced Econometrics |
Lecturer | |
Semester | Autumn semester 2018 |
Target Audience | Master |
Start/ Time & Location | Please find the latest data under our Course Catalog |
Course language | English |
Prerequisites | Undergraduate level of econometrics |
Examination |
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ECTS | 10 |
Course description | Goals and contents of the module: The goal of the module is to offer advanced treatment to econometric theory and to serve as the gate way to furtheradvanced theoretical and applied econometric modules offered in the economics graduate program at the Department ofEconomics in Mannheim.The module offers a revision of undergraduate level econometrics before moving on to extensive coverage of large-sampletheory and some organizing estimation principles such as GMM and Extremum estimators. Asymptotic properties of theseestimators are also the focus of the module as well as non-linear models and the treatment of serial correlation.Expected competences acquired after completion of the module:On successful completion of the module, students are expected to attain the following competences: |
Registration |
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Downloads |
Type | Seminar |
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Title | E820 Experimental Econometrics and RCTs in Development Economics |
Lecturer | |
Semester | Autumn semester 2018 |
Target Audience | PhD |
Start/ Time & Location | Please find the latest data under our Course Catalog |
Course language | English |
Prerequisites | E700 – E703, E801 – E806 |
Examination | presentation and seminar paper |
ECTS | 5 |
Course description | The seminar prepares for own research in theoretical econometrics. This seminar covers recent developments inmicroeconometrics with a particular focus on identification and estimation strategies that deal with endogeneity issues.Preference will be given to articles in Econometrica, recently published or forthcoming.Expected Competences acquired after completion of the module:On successful completion of the module, students are expected to attain the following competences:- Attain advanced knowledge in econometric theory.- Attain a higher/ |
Registration |
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Downloads |
E5031 Applied Labour Economics (Master)
Responsible teacher of the module: Dr. Asmus Zoch
Course language: English
Prerequisites: E601-E603 (or equivalent)
Workload: 270 hours in total, containing 42 hours class time and 228 hours for independent studies,
project and exam preparation
ECTS-Credits: 9
Course description: This course will focus on different micro-econometric models using actual empirical studies from the field of laboureconomics. Starting from the standard theory of competitive labour markets, we introduce the concept of human capital, toexplain wage differences between individuals, and explore the role of education. Exploring the Mincer earnings function,discrimination and unemployment, the students will learn how to analyse actual labour data sets using Stata. The first partof the course will deal with linear panel data models and instrumental regressions, the second part will focus on discretechoice models. This course will end with the introduction of non-parametric estimators.
Expected competences acquired after completion of the module:
Ability to use Stata to conduct independent micro-econometric analysis and apply advanced micro-economic models. Further information:Introductory literature:
• Wooldridge, Jeffrey M. (2002), Econometric Analysis of Cross Section and Panel Data, Cambridge, Mass.:MIT Press. Chapters 10–20.
• George J. Borjas, Labor Economics
Expected number of students in class: 25
E820 Experimental Econometrics and RCTs in Development Economics
Responsible teacher of the module: Prof. Dr. Markus Frölich
Course language: English
Prerequisites: E700 – E703, E801 – E806
ECTS-Credits: 5
Course description: The seminar prepares for own research in theoretical econometrics. This seminar covers recent developments inmicroeconometrics with a particular focus on identification and estimation strategies that deal with endogeneity issues.Preference will be given to articles in Econometrica, recently published or forthcoming.Expected Competences acquired after completion of the module:On successful completion of the module, students are expected to attain the following competences:- Attain advanced knowledge in econometric theory.- Attain a higher/
Economics of Education
Responsible teacher of the module: Dr. Adrien Bouguen
Course language: English
Prerequisites: Mikroökonomik A, Statistik I
ECTS-Credits: 5
Course description: What can economists possibly say about education? Dealing with the important economic issues linked to education, Iwill present an overview of the main theoretical and empirical knowledge available. The topics covered in this course willinclude: the impact of class size, the teacher quality, the returns to education, the link between health or criminal behaviourand education, the role of school choice and of tuition fees in higher education, and the measurement of peer effects.Throughout the semester, I will discuss empirical methodologies used to analyze education systems worldwide. Exampleswill be taken from both developing and developed countries.Goals of the course:Introducing students to the available literature on education and to the methodology used to analyze education systems worldwide. At the end of the semester, students will be acquainted to rigorous quantitative methods used to analyze education and will have been in contact with the most prominent results available in the economics of education.Requirements for the assignment of ECTS credits:Students will first be required to participate actively in class discussions (10%). They also should attend all sessions (10%).The rest of the grade will be composed of several assignments to be completed at home (80%). A total of 6 assignmentswill be given to students (one every second session). All assignments should be completed by students but only a subsetof them will be graded (between 2 and 4, randomly chosen).“ Literature that will be covered in class can be found in the details below (subject to modification).
Entwicklungsökonomie
Responsible teacher of the module: Prof. Dr. Markus Frölich
Course language: Deutsch
Prerequisites: Grundlagen der Ökonometrie
ECTS-Credits: 6
Course description: Benotung und Vergabe von ECTS-Punkten: schriftliche Seminararbeit, Vortrag, Koreferat, aktive Mitarbeit im SeminarZiele und Inhalte des Moduls: Das Seminar umfasst aktuelle Themen bezogen auf Arbeitsmärkte in Entwicklungsländernmit einem empirischen mikroökonometrischen Fokus. Die Themen beinhalten unter anderem: Kinderarbeit,informelle Arbeitsmärkte, Unternehmertum, die Schaffung von Firmen, Arbeitsmarktregulierungen, Mikrokredite,Mikroversicherungen, etc. Die Seminartermine werden nach den Wünschen der Studierenden ausgewählt. DieStudierenden sollen aktuelle Probleme von Entwicklungsländern erörtern und erkennen sowie empirische Studien zudiesen Fragen bewerten und diskutieren. In diesem Sinne ist es eine Mischung zwischen einem reinen Seminar zuEntwicklungsländern und einem angewandten Ökonometrieseminar. Die Studierenden sollen also auch angewandteökonometrische Papiere verstehen, diskutieren und vorstellen, um die konkrete empirische Forschungsweise zuerlernen. Das Seminar ist insbesondere auch als eine Vorbereitung auf eine mögliche Bachelorarbeit im Bereich derangewandten empirischen Forschung gedacht, welche dann üblicherweise eine eigenständige ökonometrische Analysemit Sekundärdaten verlangt. Das Seminar stellt somit eine Brückenfunktion zwischen den Grundlagenvorlesungenzur Ökonometrie, welche eher das Methodenwissen vermitteln, und der eigenständigen empirischen Analyse in derwissenschaftlichen Forschung dar.Erwartete Kompetenzen nach Abschluss des Moduls: Die Studierenden haben gelernt, einen Aufsatz zu einem Themaaus der Entwicklungsökonomie zu schreiben und zu präsentieren, wobei sie den Bezug zu mikroökonomischenModellen und insbesondere empirisch-ökonometrischer Analyse herausgearbeitet haben. Dies umfasst somit auch einekritische Analyse und Begutachtung von empirischen Studien und deren Methodik, insbesondere der Ökonometrie, derDatengrundlage und der Umsetzung der empirischen Herangehensweise.Weitere Informationen: Bitte beachten Sie den gemeinsamen Anmeldezeitraum für Seminare des BachelorstudiengangsVWL: 18. November 2018 (22:00 Uhr) bis 23. November 2018 (24:00 Uhr)Erwartete Zahl der Teilnehmer/
Statistics and Stata
Responsible teacher of the module: Dr. Alexandra Avdeenko, Dr. Ingo Steinke
Course language: English
Prerequisites: Statistik I+II, Grundlagen der Ökonometrie
ECTS-Credits: 6
Course description: Goals and contents of the module: The course gives an introduction into the data management in Stata. That includeshow to set up do-files, the preparation of data for analysis, the generation of variables, the use of macros in Stata, and themerging of data sets. Basic and advanced statistical procedures will be discussed in the course. For each model, therewill be an introduction to the statistical model and it will be shown how to analyze the corresponding data with Stata andhow to interpret the output of Stata. The models considered are some elementary statistical models, the linear regressionmodel with homoscedastic and heteroscedastic error terms, analysis of variance models, linear panel data models,nonlinear regression models and binary and multinomial models.
Expected competences acquired after completion of the module: The students know basic probabilistic and statisticalconcepts, e.g. the concept of a statistical test and how to compute and use p-values. The students can analyze data withStata: The students are able to review a data set, generate summary statistics, and merge data sets. They know howto work with variables, matrices, and macros. They know how to perform elementary tests. The students can generateadvanced plots. They are able to set up a linear model with homoscedastic or heteroscedastic error terms and understandthe results provided by Stata. They can do an analysis of variance and test for heteroscedasticity in a linear regressionmodel. They understand the ideas of linear panel data regression and can analyze corresponding data. The students areable to estimate the parameters, perform tests for the parameters, and analyze the results in nonlinear regression modelsand binary choice models.
Further information: Literature: Cameron/
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Title | E820 Experimental Econometrics and RCTs in Development Economics |
Lecturer | Prof. Dr. Markus Frölich |
Semester | each semester |
Course level | PhD |
Start, End/ Time & Location | Please find the latest data under our Course Catalog |
Course language | English |
Prerequisites | E700 – E703, E801 – E806 |
Examination | presentation and seminar paper |
ECTS | 5 |
Course description | The seminar prepares for own research in theoretical econometrics. This seminar covers recent developments in microeconometrics with a particular focus on identification and estimation strategies that deal with endogeneity issues. Preference will be given to articles in Econometrica, recently published or forthcoming. |
E5026 Programming in Stata
Responsible teachers of the module: Dr. Alexandra Avdeenko, Dr. Ingo Steinke
Course language: English
Prerequisites: E601–603 (or equivalent)
ECTS-Credits: 7
Course description: Although Stata already offers a large number of econometric tools, novel approaches are often not available and have tobe implemented by users. This course offers an introduction to advanced programming in Stata. Since comparatively few people know how to do so, Stata programming skills can be a competitive advantage. The lecturewill start with an introduction to efficiently written do-files (including data processing). We will look at and discuss differentdata types. In hands-on sessions students will be taught how to prepare the data for analysis. Variables will be generatedand their distributions explored; data will be merged; and regression results will be critically discussed. Moreover, in thiscourse students will learn how to implement new commands for Stata and to conduct Monte Carlo simulations. These areimportant for verification of implementations and are used as a very important tool to analyse the small sample propertiesof estimators and to complement the theoretical properties of estimators making them an integral part of econometricanalyses. We will also touch upon Stata's matrix programming language Mata, non-linear optimization, e.g. ML estimationand bootstrap methods.Expected competences acquired after completion of the module:Die Studierenden sind in der Lage, quantitative Methoden in Stata selbständig zu programmieren. Sie kennen Stata undMata als Programmiersprachen und verstehen die Standardsyntax bzw. die Grammatik der Sprachen. Dadurch habensie auch erlernt, Statas Kommandos besser zu verstehen und auch gegebenenfalls anzupassen. Ihr Wissen können die Studenten auf verschiedene Datensätze anwenden. Sie sind in der Lage, aufwändige Analysen zu automatisieren unddamit effizienter zu arbeiten. Darüber hinaus sind sie in der Lage, Monte Carlo Simulationen durchzuführen und deren Ergebnisse zu interpretieren und zu verwenden, um die Güte von Schätzverfahren einzuschätzen. Sie können Stichprobenaus einer großen Auswahl von Verteilungen generieren. Mit Hilfe von Monte-Carlo-Simulationen erreichen die Studentenein besseres Verständnis für die Unsicherheit und Güte von Schätz- und Testverfahren.Further information:Cameron/ Trivedi (2009). Mircoeconometrics using Stata. Stata Press.
Expected number of students in class: 40
E553 Development Economics: Experimental Approaches
Responsible teachers of the module: Dr. Alexandra Avdeenko, Dr. Adrien Bouguen
Course language: English
Prerequisites: E601–603 (or equivalent)
ECTS-Credits: 5
Course description: Development economics deals with economic aspects of the development process in low-income countries. After anexamination of the long-run factors of economic development, this lecture focuses on interventions intended to promoteeconomic growth and welfare of the population in developing countries. In particular, it accumulates evidence to answerthe following questions: Which interventions improve the living conditions of the poor? Methodologically, this lecture comprises of econometric methods used for program evaluation. These methods identifycausal relationships between interventions and their intended outcomes (e.g. using instrumental variables, randomizedcontrol trials, regression discontinuity). The practical exercises include hands-on empirical work with STATA. Evaluationwill be based on replications of famous empirical articles in developing countries. Students will implement threereplications but only one will be graded (based on a random assignment at the end of the semester). Students will onlyhave a few days to perform the replications, typically from the Friday after the end of the block to the Sunday evening. Thisyear the course will mainly talked about institutions and education. In terms of learning outcomes for students the lecturepursues the following goals:
• Introduce students to state-of-the-art research on institutions and education.
• Give students insights on how to do empirical research employing econometric methods.
• Enable students to make critical assessments of research work.
• Enable students to independently great scientific articles using empirical tools learned in class.
E603 Advanced Econometrics
Responsible teachers of the module: Prof. Dr. Markus Frölich
Course language: English
Prerequisites: Undergraduate level of econometrics
ECTS-Credits: 10
Course description: The goal of the module is to offer advanced treatment to econometric theory and to serve as the gate way to furtheradvanced theoretical and applied econometric modules offered in the economics graduate program at the Department ofEconomics in Mannheim.The module offers a revision of undergraduate level econometrics before moving on to extensive coverage of large-sampletheory and some organizing estimation principles such as GMM and Extremum estimators. Asymptotic properties of theseestimators are also the focus of the module as well as non-linear models and the treatment of serial correlation. Expected competences acquired after completion of the module:On successful completion of the module, students are expected to attain the following competences:
• Attain advanced theoretical knowledge in econometrics in the specific topics the module covers at a hightechnical and mathematical level.
• Be familiar with current theories and recent developments in the specific topics of focus for the module.
• Attain a higher/
• Be in a position to take on follow-up advanced theoretical and applied econometrics modules.
• Attain the level of competence that permits independent undertakings in search of new knowledge in thespecialist areas the module covers.
• Attain the level of competence required to carry out (theoretical) research-oriented projects independently.
• To be in a position to exchange information, ideas, and solutions with experts of the field on a scientific levelas well as with laymen.
• To be able to communicate and to work effectively and efficiently with people and in groups.
• Graduates are able to communicate precisely in the English specialist language.
Further information:Recommended textbooks:
• Wooldridge (2010): Econometric Analysis of Cross Section and Panel Data. MIT Press.
• Heij, De Boer, Franses, Kloek, and Van Dijk (2004): Econometric Methods with Applications in Business andEconomics. Oxford University Press.
• Kirchgässner, Wolters (2007): Introduction to Modern Time Series Analysis.
• Kirchgässner, Wolters (2006): Einführung in die moderne Zeitreihenanalyse.
Expected number of students in class: 60
E820 E820 Experimental Econometrics and RCTs in DevelopmentEconomics
Responsible teachers of the module: Prof. Dr. Markus Frölich
Course language: English
Prerequisites: E700 – E703, E801 – E806
ECTS-Credits: 5
Course description: The seminar prepares for own research in theoretical econometrics. This seminar covers recent developments inmicroeconometrics with a particular focus on identification and estimation strategies that deal with endogeneity issues.Preference will be given to articles in Econometrica, recently published or forthcoming.Expected Competences acquired after completion of the module:On successful completion of the module, students are expected to attain the following competences:- Attain advanced knowledge in econometric theory.- Attain a higher/
Entwicklungsökonomie
Responsible teachers of the module: Prof. Dr. Markus Frölich
Course language: English
Prerequisites: Grundlagen der Ökonometrie
ECTS-Credits: 6
Course description: Benotung und Vergabe von ECTS-Punkten: schriftliche Seminararbeit, Vortrag, Koreferat, aktive Mitarbeit im SeminarZiele und Inhalte des Moduls: Das Seminar umfasst aktuelle Themen bezogen auf Arbeitsmärkte in Entwicklungsländernmit einem empirischen mikroökonometrischen Fokus. Die Themen beinhalten unter anderem: Kinderarbeit,informelle Arbeitsmärkte, Unternehmertum, die Schaffung von Firmen, Arbeitsmarktregulierungen, Mikrokredite,Mikroversicherungen, etc. Die Seminartermine werden nach den Wünschen der Studierenden ausgewählt. DieStudierenden sollen aktuelle Probleme von Entwicklungsländern erörtern und erkennen sowie empirische Studien zudiesen Fragen bewerten und diskutieren. In diesem Sinne ist es eine Mischung zwischen einem reinen Seminar zuEntwicklungsländern und einem angewandten Ökonometrieseminar. Die Studierenden sollen also auch angewandteökonometrische Papiere verstehen, diskutieren und vorstellen, um die konkrete empirische Forschungsweise zuerlernen. Das Seminar ist insbesondere auch als eine Vorbereitung auf eine mögliche Bachelorarbeit im Bereich derangewandten empirischen Forschung gedacht, welche dann üblicherweise eine eigenständige ökonometrische Analysemit Sekundärdaten verlangt. Das Seminar stellt somit eine Brückenfunktion zwischen den Grundlagenvorlesungenzur Ökonometrie, welche eher das Methodenwissen vermitteln, und der eigenständigen empirischen Analyse in derwissenschaftlichen Forschung dar.Erwartete Kompetenzen nach Abschluss des Moduls: Die Studierenden haben gelernt, einen Aufsatz zu einem Themaaus der Entwicklungsökonomie zu schreiben und zu präsentieren, wobei sie den Bezug zu mikroökonomischenModellen und insbesondere empirisch-ökonometrischer Analyse herausgearbeitet haben. Dies umfasst somit auch einekritische Analyse und Begutachtung von empirischen Studien und deren Methodik, insbesondere der Ökonometrie, derDatengrundlage und der Umsetzung der empirischen Herangehensweise.Weitere Informationen: Bitte beachten Sie den gemeinsamen Anmeldezeitraum für Seminare des BachelorstudiengangsVWL: 18. November 2018 (22:00 Uhr) bis 23. November 2018 (24:00 Uhr)Erwartete Zahl der Teilnehmer/
E564 Impact evaluation, treatment effects, causal analysis
Form and applicability of the module: Elective course for Master in Economics
ECTS-Credits: 7
Teaching method (hours per week): lecture (2), exercise (1)
Cycle of offer: each spring semester
Course language: English
Goals and Contents of the module: Expected Competences acquired after completion of the module:Students will have a working knowledge of recent developments in robust impact evaluation methods and skills in theirapplication using Stata. In particular, they understand concepts of identification and causality and the different types oftreatment effects. They will understand the theoretical and practical implications of different sample scenarios (randomcontrol trials, selection on observables and unobservables) and can choose the appropriate estimation strategy (matchingestimator, propensity score, IV, regression discontinuity, difference in difference). They understand assumptions made andtheoretical properties of the related nonparametric estimators and the pitfalls of the classical parametric estimators.
Requirements for the assignment of grade and ECTS credits: written exam, 120 minutes
E820 Experimental Econometrics and RCTs in DevelopmentEconomics
Instructor: Prof. Dr. Markus Frölich
Offered term: each semester
Method: seminar (2 SWS)
Course level: PhD
Course language: English
Prerequisites: E700 – E703, E801 – E806
Examination: presentation and seminar paperECTS: 5Descrption:The seminar prepares for own research in theoretical econometrics. This seminar covers recent developments inmicroeconometrics with a particular focus on identification and estimation strategies that deal with endogeneity issues.Preference will be given to articles in Econometrica, recently published or forthcoming.Expected Competences acquired after completion of the module:
On successful completion of the module, students are expected to attain the following competences:
- Attain advanced knowledge in econometric theory.
- Attain a higher/
- To be in a position to exchange information, ideas, and solutions with experts of the field on a scientific level as well aswith laymen.
- Ability to communicate precisely in the English specialist language.
- Presentation skills.
- Attain the level of competence that permits independent undertakings in search of new knowledge in microeconometric theory.
Empirical Economics of Education
EducationInstructor: Dr. Adrien BouguenOffered: spring term 2016Method (hours per week): lecture (2)Course level: BachelorCourse language: EnglishPrerequisites: Microeconomics I, Statistics IExamination: class participation (10%), homework (30%), and final exam (60%)ECTS: 5 Course description:What can economists possibly say about education? Dealing with the important economic issues linked to education, Iwill present an overview of the main theoretical and empirical knowledge available. The topics covered in this course willinclude: the impact of class size, the teacher quality, the returns to education, the link between health or criminal behaviourand education, the role of school choice and of tuition fees in higher education, and the measurement of peer effects.Throughout the semester, using terminology accessible to non-specialists, I will discuss the difference between correlationand causality, and study the intuition of the main “impact evaluation” methods used by economists to contribute to thesocial debate on education. Examples will be taken from both developing and developed countries. Goals of the course:Introducing students to the available literature on education and to the methodology used to analyse education systemsworldwide. At the end the semester, students will be acquainted to rigorous quantitative methods used to analyseeducation and will have been in contact with the most prominent results available in the economics of education. Requirements for the assignment of ECTS credits:Students will first be required to participate actively in class discussions (10% of the final grading). Secondly, a shortpiece of homework will be hand-in after each session to the class. At the beginning of each session, I will collect somepreparations randomly (30% of the final grade). Homework is not made to sanction or to increase unnecessarily yourworkload but to help you revising for the final exam. The final exam will form the rest of the mark (60%).
Instructor: Dr. Adrien Bouguen
Offered: spring term 2016
Method (hours per week): lecture (2)
Course level: Bachelor
Course language: English
Prerequisites: Microeconomics I, Statistics I
Examination: class participation (10%), homework (30%), and final exam (60%)
ECTS: 5
Course description: What can economists possibly say about education? Dealing with the important economic issues linked to education, Iwill present an overview of the main theoretical and empirical knowledge available. The topics covered in this course willinclude: the impact of class size, the teacher quality, the returns to education, the link between health or criminal behaviourand education, the role of school choice and of tuition fees in higher education, and the measurement of peer effects.Throughout the semester, using terminology accessible to non-specialists, I will discuss the difference between correlationand causality, and study the intuition of the main “impact evaluation” methods used by economists to contribute to thesocial debate on education. Examples will be taken from both developing and developed countries. Goals of the course:Introducing students to the available literature on education and to the methodology used to analyse education systemsworldwide. At the end the semester, students will be acquainted to rigorous quantitative methods used to analyseeducation and will have been in contact with the most prominent results available in the economics of education. Requirements for the assignment of ECTS credits:Students will first be required to participate actively in class discussions (10% of the final grading). Secondly, a shortpiece of homework will be hand-in after each session to the class. At the beginning of each session, I will collect somepreparations randomly (30% of the final grade). Homework is not made to sanction or to increase unnecessarily yourworkload but to help you revising for the final exam. The final exam will form the rest of the mark (60%).
Some literature that will be covered in class (subject to modification):
Session 1 Introduction: Human Capital Theory (1) (Mincer) – Multivariate Regressions
Description of the first Human Capital Theory by Jacob Mincer + introduction to econometrics via multivariate regressions
Session 2 Human Capital theory (Becker) – Difference in Differences
Description of the Human Capital Theory by Gary Becker + introduction to public policy evaluation via difference in differences strategy
Session 3: Return To education – Instrumental Variables
Session 4: Externality and non monetary returns to schooling:
Session 5: Demand for Education: Are students credit constraints? What are the main impediment to schooling participation?
Session 6: School Choice – Randomized Controlled Trial
Session 7 Improving School Supply: Alternative or complementary to school choice, one may policy question is how to improve schooling. We look at some successful examples.
Session 8: Teacher Quality: One central input in the education production function is the teacher: How can we improve their productivity? Is it desirable?
Session 9: Evaluating teacher effect – Fixed effect model: From a more empirical perspective, can we assess the size of the teacher effect?
Session 10: Peer Effect: Are peers important in education?
Session 11: Early Childcare development:What are the benefits of introducing early education program (preschool , kindergarten) ?What sort of stimulation should they receive?
Entwicklungsökonomie
Modulverantwortliche/r: Prof. Dr. Markus Frölich
Turnus des Angebots: jedes Semester
ECTS-Punkte: 6
Lehrmethode (Umfang): Blockseminar (2 SWS)
Arbeitsaufwand: Präsenzzeit Seminar: 21 Stunden; Zeit für die Anfertigung der Seminararbeit, für die Vorbereitung derReferate sowie für das Selbststudium 147 Stunden
Unterrichtssprache: Deutsch
Teilnahmevoraussetzungen: Grundlagen der ÖkonometrieBenotung und Vergabe von ECTS-Punkten: schriftliche Seminararbeit, Vortrag, Koreferat, aktive Mitarbeit im Seminar
Ziele und Inhalte des Moduls: Das Seminar umfasst aktuelle Themen bezogen auf Arbeitsmärkte in Entwicklungsländernmit einem empirischen mikroökonometrischen Fokus. Die Themen beinhalten unter anderem: Kinderarbeit,informelle Arbeitsmärkte, Unternehmertum, die Schaffung von Firmen, Arbeitsmarktregulierungen, Mikrokredite,Mikroversicherungen, etc. Die Seminartermine werden nach den Wünschen der Studierenden ausgewählt. DieStudierenden sollen aktuelle Probleme von Entwicklungsländern erörtern und erkennen sowie empirische Studien zudiesen Fragen bewerten und diskutieren. In diesem Sinne ist es eine Mischung zwischen einem reinen Seminar zuEntwicklungsländern und einem angewandten Ökonometrieseminar. Die Studierenden sollen also auch angewandteökonometrische Papiere verstehen, diskutieren und vorstellen, um die konkrete empirische Forschungsweise zuerlernen. Das Seminar ist insbesondere auch als eine Vorbereitung auf eine mögliche Bachelorarbeit im Bereich derangewandten empirischen Forschung gedacht, welche dann üblicherweise eine eigenständige ökonometrische Analysemit Sekundärdaten verlangt. Das Seminar stellt somit eine Brückenfunktion zwischen den Grundlagenvorlesungenzur Ökonometrie, welche eher das Methodenwissen vermitteln, und der eigenständigen empirischen Analyse in derwissenschaftlichen Forschung dar.Erwartete Kompetenzen nach Abschluss des Moduls: Die Studierenden haben gelernt, einen Aufsatz zu einem Themaaus der Entwicklungsökonomie zu schreiben und zu präsentieren, wobei sie den Bezug zu mikroökonomischenModellen und insbesondere empirisch-ökonometrischer Analyse herausgearbeitet haben. Dies umfasst somit auch einekritische Analyse und Begutachtung von empirischen Studien und deren Methodik, insbesondere der Ökonometrie, der Datengrundlage und der Umsetzung der empirischen Herangehensweise.
Ökonometrie und Programmieren / Programming in Stata
Course title: Ökonometrie und Programmieren / Programming in Stata
Instructor: Alexandra Avdeenko
Offered: FSS 2016
Method (hours per week): lecture (2)
Course level: Bachelor
Course language: English
Prerequisites: Basic Stata skills of advantage
Examination: Programming exam, 90 min
ETCS-Credits: 5
Course description:The main objective is to give students a practical introduction to econometrics. This course offers an introduction to advancedprogramming in Stata. Although Stata already offers a large number of econometric tools, novel approaches are often notavailable and have to be implemented by users. Since comparatively few people know how to do so, Stata programmingskills can be a competitive advantage. The lecture will start with an introduction to efficiently written do-files (including dataprocessing). Different data types will then be presented, i.e. the German Socio-Economic Panel (SOEP). In hands-on sessionsstudents will be taught how to prepare the data for analysis. Variables will be generated and their distributions explored; datawill be merged; and regression results will be critically discussed. Moreover, in this course students will learn how to implementnew commands for Stata and to conduct Monte Carlo simulations. These are important for verification of implementationsand are used as a very important tool to analyse the small sample properties of estimators and to complement the theoreticalproperties of estimators making them an integral part of econometric analyses. We will also touch upon Stata's matrixprogramming language Mata. Moreover, we will apply the programming techniques to implement selected cross-sectionmodels
E564 Impact evaluation, treatment effects, causal analysis
Form and applicability of the module: Elective course for Master in Economics
Duration of the module: 1 semester
ECTS-Credits: 7
Teaching method (hours per week): lecture (2), exercise (1)
Cycle of offer: each spring semester
Course language: English
Expected Competences acquired after completion of the module: Students will have a working knowledge of recent developments in robust impact evaluation methods and skills in theirapplication using Stata. In particular, they understand concepts of identification and causality and the different types oftreatment effects. They will understand the theoretical and practical implications of different sample scenarios (randomcontrol trials, selection on observables and unobservables) and can choose the appropriate estimation strategy (matchingestimator, propensity score, IV, regression discontinuity, difference in difference). They understand assumptions made andtheoretical properties of the related nonparametric estimators and the pitfalls of the classical parametric estimators.
Requirements for the assignment of grade and ECTS credits: written exam, 120 minutes
E820 Experimental Econometrics and RCTs in Development Economics
Instructor: Prof. Dr. Markus Frölich
Offered term: each semester
Method: seminar (2 SWS)
Course level: PhD
Course language: English
Prerequisites: E700 – E703, E801 – E806
Examination: presentation and seminar paper
ECTS: 5
Description: The seminar prepares for own research in theoretical econometrics. This seminar covers recent developments inmicroeconometrics with a particular focus on identification and estimation strategies that deal with endogeneity issues.Preference will be given to articles in Econometrica, recently published or forthcoming.Expected Competences acquired after completion of the module:On successful completion of the module, students are expected to attain the following competences:- Attain advanced knowledge in econometric theory.- Attain a higher/
Entwicklungsökonomie
Art und Verwendbarkeit des Moduls: Wahlveranstaltung im Bachelor-Studiengang Volkswirtschaftslehre
Modulverantwortliche/r: Prof. Dr. Markus Frölich
Turnus des Angebots: jedes Semester
ECTS-Punkte: 6
Lehrmethode (Umfang): Blockseminar (2 SWS)
Arbeitsaufwand: Präsenzzeit Seminar: 21 Stunden; Zeit für die Anfertigung der Seminararbeit, für die Vorbereitung der Referate sowie für das Selbststudium 147 Stunden
Unterrichtssprache: Deutsch
Teilnahmevoraussetzungen: Grundlagen der Ökonometrie
Benotung und Vergabe von ECTS-Punkten: schriftliche Seminararbeit, Vortrag, Koreferat, aktive Mitarbeit im Seminar
Ziele und Inhalte des Moduls: Das Seminar umfasst aktuelle Themen bezogen auf Arbeitsmärkte in Entwicklungsländernmit einem empirischen mikroökonometrischen Fokus. Die Themen beinhalten unter anderem: Kinderarbeit,informelle Arbeitsmärkte, Unternehmertum, die Schaffung von Firmen, Arbeitsmarktregulierungen, Mikrokredite,Mikroversicherungen, etc. Die Seminartermine werden nach den Wünschen der Studierenden ausgewählt. DieStudierenden sollen aktuelle Probleme von Entwicklungsländern erörtern und erkennen sowie empirische Studien zudiesen Fragen bewerten und diskutieren. In diesem Sinne ist es eine Mischung zwischen einem reinen Seminar zuEntwicklungsländern und einem angewandten Ökonometrieseminar. Die Studierenden sollen also auch angewandteökonometrische Papiere verstehen, diskutieren und vorstellen, um die konkrete empirische Forschungsweise zuerlernen. Das Seminar ist insbesondere auch als eine Vorbereitung auf eine mögliche Bachelorarbeit im Bereich derangewandten empirischen Forschung gedacht, welche dann üblicherweise eine eigenständige ökonometrische Analysemit Sekundärdaten verlangt. Das Seminar stellt somit eine Brückenfunktion zwischen den Grundlagenvorlesungenzur Ökonometrie, welche eher das Methodenwissen vermitteln, und der eigenständigen empirischen Analyse in derwissenschaftlichen Forschung dar.Erwartete Kompetenzen nach Abschluss des Moduls: Die Studierenden haben gelernt, einen Aufsatz zu einem Themaaus der Entwicklungsökonomie zu schreiben und zu präsentieren, wobei sie den Bezug zu mikroökonomischenModellen und insbesondere empirisch-ökonometrischer Analyse herausgearbeitet haben. Dies umfasst somit auch einekritische Analyse und Begutachtung von empirischen Studien und deren Methodik, insbesondere der Ökonometrie, derDatengrundlage und der Umsetzung der empirischen Herangehensweise.Weitere Informationen: Bitte beachten Sie den gemeinsamen Anmeldezeitraum für Seminare des BachelorstudiengangsVWL: 18. November 2018 (22:00 Uhr) bis 23. November 2018 (24:00 Uhr)
Erwartete Zahl der Teilnehmer/
Ökonometrie und Programmieren / Programming in Stata
StataInstructor: Alexandra Avdeenko / Dr. Bettina Siflinger
Offered: FSS 2015
Method (hours per week): lecture (2)
Course level: Bachelor
Course language: English
Prerequisites: Basic Stata skills of advantage
Examination: Programming exam, 90 min
ETCS-Credits: 5
Course description: The main objective is to give students a practical introduction to econometrics. This course offers an introduction to advancedprogramming in Stata. Although Stata already offers a large number of econometric tools, novel approaches are often notavailable and have to be implemented by users. Since comparatively few people know how to do so, Stata programmingskills can be a competitive advantage. The lecture will start with an introduction to efficiently written do-files (including dataprocessing). Different data types will then be presented, i.e. the German Socio-Economic Panel (SOEP). In hands-on sessionsstudents will be taught how to prepare the data for analysis. Variables will be generated and their distributions explored; datawill be merged; and regression results will be critically discussed. Moreover, in this course students will learn how to implementnew commands for Stata and to conduct Monte Carlo simulations. These are important for verification of implementationsand are used as a very important tool to analyse the small sample properties of estimators and to complement the theoreticalproperties of estimators making them an integral part of econometric analyses. We will also touch upon Stata's matrixprogramming language Mata. Moreover, we will apply the programming techniques to implement selected cross-section models.