Type | Seminar |
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Lecturer | Prof. Dr. Markus Frölich |
Semester | fall term 2020 |
Target Audience | Wahlveranstaltung im Bachelorstudiengang Volkswirtschaftslehre |
Start, End/ Time & Location | Please find the latest data under our course catalog |
Course language | Deutsch |
Prerequisites | Grundlagen der Ökonometrie |
Examination | TBA |
ECTS | 6 |
Course description | 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. Die Studierenden 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 der angewandten 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. 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 mikroökonomischen Modellen 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. Weitere Informationen: Bitte beachten Sie den gemeinsamen Anmeldezeitraum für Seminare des Bachelorstudiengangs VWL. Kontakt: Prof. Dr. Markus Frölich, Tel. 0621/181-1920 (Sekretariat: Anja Dostert), E-Mail: dostert(a)uni-mannheim.de, L7,3-5, Raum 1.21/1.22. |
Type |
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Lecturer | Esther Heesemann, Marc Gillaizeau |
Semester | fall term term 2020 |
Target Audience | Elective course for M. Sc. Economics |
Start, End/ Time & Location | Please find the latest data under our course catalog |
Course language | English |
Prerequisites | E601-603 (or equivalent). A background in development economics and Stata is helpful. |
Examination | www2.uni-mannheim.de/ |
ECTS | 7 |
Grading and ECTS Credits | Presentation (20 min during tutorial, 20%) + Stata Assignments (home assignment in week 3and 7, 25% each) + final essay exam (45 min, 30%) |
Course description | Goals and contents of the module: The course will introduce students to the main concepts of poverty and inequality measurements and the critical linksbetween poverty and inequality and economic growth. Students will get an overview on theories of justice, methodologicalaspects of poverty & inequality measurement, , gender inequalities, economic mobility, inequality and poverty in richcountries as well as development policy targeting poverty. The course will focus on low- and middle-income countries. It is structured as follows: Expected competences acquired after completion of the module: The students become acquainted with the topics in poverty and inequality and learn to critically review and discuss empirical studies in the field. Expected number of students in class: 20 Contact Information: Esther Heesemann (heesemann(at)uni-mannheim.de); Marc Gillaizeau (gillaizeau(at)uni-mannheim.de). Office hours, L7, 3-5, 103: on request via email |
Type | Vorlesung und Übung |
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Lecturer | Dr. Ingo Steinke; Dr. Atika Pasha |
Semester | fall term 2020 |
Target Audience | Elective course for M. Sc. Economics |
Start, End/ Time & Location | Please find the latest data under our course catalog |
Course language | English |
Prerequisites | E601 - 603 (or equivalent) |
Examination | www2.uni-mannheim.de/ |
ECTS | 9.5 |
Grading and ECTS credits | Final exam (90 min) |
Course description | Goals and contents of the module: Although Stata already offers a large number of econometric tools, novel approachesare often not available and have to be implemented by users. This course offers an introduction to advanced programmingin Stata. Since comparatively few people know how to do so, Stata programming skills can be a competitive advantage. The lecture will start with an introduction to efficiently written do-files (including data processing). We will look at and discuss different data types. In hands-on sessions students will be taught how to prepare the data for analysis. Variables will be generated and their distributions explored; data will be merged; and regression results will be critically discussed. Moreover, in this course students will learn how to implement new commands for Stata and to conduct Monte Carlo simulations. These are important for verification of implementations and are used as a very important tool to analyse thesmall sample properties of estimators and to complement the theoretical properties of estimators making them an integralpart of econometric analyses. We will also touch upon Stata's matrix programming language Mata, non-linear optimization, e. g. ML estimation and bootstrap methods. Expected competences acquired after completion of the module: Students will be able to program quantitative methods using Stata independently. They are able to use Stata and Mata as programming languages and understandthe standard syntax and the grammar of the languages. They will also be able to understand commands in Stata andedit these accordingly. Knowledge won from this module can be applied to various records. Students are capable ofautomatizing analysis and working efficiently. In addition to that, they will be able to conduct Monte Carlo simulations and interpret and use the results to estimate the quality of the estimation procedure. They can generate samples from a varietyof distributions. Through Monte Carlo simulations, students will have a better comprehension of the uncertainty and qualityof the estimation and test procedures. Further information: Cameron/ Trivedi (2009). Microeconometrics using Stata. Stata Press
Expected number of students in class: 40 Contact Information: Dr. Atika Pasha; Phone:(0621) 181 1843 Email: pasha(at)uni-mannheim.de Dr. Ingo Steinke; Phone: (0621) 181 1940; Email: isteinke(at)rumms.uni-mannheim.de |
Teaching method | Lecture |
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Responsible teacher of the module | Prof. Dr. Markus Frölich |
Cycle of offer | Each fall semester |
ECTS Credits | 5 |
Form and usability of the module | Elective course for M.Sc. in Economics |
Start, End/ Time & Location | Please find the latest data under our course catalog |
Course language | English |
Prerequisites | E601 - 603 (or equivalent) |
Examination | www2.uni-mannheim.de/ |
Grading and ECTS credits | Final exam (120 min) |
Course description | Goals and contents of the module: Topics will include counterfactual outcomes, heterogeneous treatment effects, (propensity) score matching, differences in differences, instrumental variables designs, randomized control trials, regression discontinuity design. Expected competences acquired after completion of the module: The students become acquainted with modern methods in impact evaluation. Further information: Impact Evaluation (Frölich, Sperlich, 2019, Cambridge University Press) Expected number of students in class: 20 |
Type | Block Seminar |
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Lecturer | Dr. Arne Weiss |
Semester | fall term 2020 |
Cycle of Offer | Once |
Target Audience | Wahlveranstaltung M. Sc. Economics |
Start, End/ Time & Location | Please find the latest data under our course catalog |
Course language | Englisch |
Prerequisites | E601 - 603 |
ECTS | 5 |
Teaching methond (hours per week) | block seminar (2 SWS) |
Workload | 150 working hours for organizational meeting, block seminar, preparation of the seminar paper, and presentation |
Grading | TBA |
Goals and contents of the module | TBA |
Expected competences acquired after completion of the module | TBA |
Expected number of students in class | TBA |
Course description | Ziele und Inhalte des Moduls: TBA
Kontakt: Dr. Arne Weiss, E-Mail: arne.weiss(a)uni-mannheim.de |
Type | Lecture and Exercise |
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Lecturer | Prof. Dr. Markus Frölich |
Semester | Each fall semester |
Target Audience | Core course for M.Sc. Economics |
Start, End/ Time & Location | Please find the latest data under our course catalog |
Course language | English |
Prerequisites | Undergraduate level of econometrics |
Examination | www2.uni-mannheim.de/ |
ECTS | 10 |
Course description | Goals and contents of the module: The goal of the module is to offer advanced treatment of econometric theory and to serve as the gate way to further advanced theoretical and applied econometric modules offered in the economics graduate program at the Department of Economics in Mannheim. The module offers a revision of undergraduate level econometrics before moving on to extensive coverage of large-sample theory and some organizing estimation principles such as GMM estimators. Asymptotic properties of these estimators 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:
Further information: Recommended textbooks: Expected number of students in class: 65 Contact information: Prof. Dr. Markus Frölich; Email: froelich(at)uni-mannheim.de; Office: L7, 3-5, 1st floor, room114
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Type | Research Seminar (3 and 4th year) |
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Lecturer | Prof. Dr. Markus Frölich |
Semester | fall term 2020 |
Prerequisites | Successful completion of first two years of PhD programme |
Start, End/ Time & Location | Please find the latest data under our course catalog |
Course language | English |
Requirements for the assignment of ECTS Credits and Grades: | A written seminar paper on a topic of own choice and a presentation in class. |
Examination | www2.uni-mannheim.de/ |
ECTS | 5 |
Course description | Course content: Research seminar where Ph.D. students, who have completed their course work, present their own research and receive feedback. This seminar is intended to discuss topics around theoretical as well as applied research in the area of causal inference as well as randomized experiments and experimental design. Students are encouraged to review literature on a topic within this field, and explore if such research field may reflect or support their development of their own PhD project. Seminar topics normally refer to either Econometric Theory, i.e. identification or design development as well as estimators and their properties, or the applicability of methods that are linked to causal identification. Competences acquired: Doctoral Students will know how to - identify a research question, - put a research question into context of the relevant literature, - present their current stage of research to their peers in a seminar environment. Contact information: Caroline Mohr, email: cdse(at)uni-mannheim.de |
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