Teaching method (hours per week) | Lecture (3) and exercise (1) |
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Lecturer | Dr. Ingo Steinke; Dr. Nicholas Barton, Ph.D. |
Semester | each fall term |
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/studienbueros/pruefungen/pruefungstermine/ |
ECTS | 9.5 |
Grading | Final exam (90 min, 100%) |
Course description | Goals and contents of the module: Although Stata already offers a large number of econometric tools, novel approaches are often not available and have to be 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 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 the small sample properties of estimators and to complement the theoretical properties of estimators making them an integral part 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 understand the standard syntax and the grammar of the languages. They will also be able to understand commands in Stata and edit these accordingly. Knowledge won from this module can be applied to various records. Students are capable of automatizing 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 variety of distributions. Through Monte Carlo simulations, students will have a better comprehension of the uncertainty and quality of the estimation and test procedures. |
Further information | Recommended literature: Cameron/ |
Expected number of students in class | 21 |
Contact information | Name: Dr. Nicholas Barton; Email: nibarton Name: Dr. Ingo Steinke; Email: isteinke rumms.uni-mannheim.de | mail.uni-mannheim.de
Teaching method (hours per week) | Lecture (2) + Exercise (1) |
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Responsible teacher of the module | Prof. Dr. Markus Frölich |
Cycle of offer | Each fall semester |
ECTS Credits | 7 |
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/studienbueros/pruefungen/pruefungstermine/ |
Grading | Written exam (120 min, 100%) |
Goals and contents of the module: | This course will introduce students to theory and methods of modern impact evaluation. Topics will include counterfactual outcomes, heterogeneous treatment effects, (propensity) score matching, differences in differences, instrumental variables designs, randomized control trials, and regression discontinuity design. |
Expected competences acquired after completion of the module | The students are able to apply the main econometric models and estimators for impact evaluation and causal infererence and are able to analyze and judge causal inference identification strategies. |
Further information | Recommended literature: Impact Evaluation (Frölich, Sperlich, 2019, Cambridge University Press) |
Expected number of students in class | 20 |
Contact Information | Name: Anja Dostert; Email: dostert@uni-mannheim.de; Office: L7, 3–5, room 1.21/1.22 |
Teaching method (hours per week) | Lecture (4) + exercise (2) |
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Lecturer | Prof. Dr. Markus Frölich |
Semester | Each fall semester |
Form and usability of the module | 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/studienbueros/pruefungen/pruefungstermine/ |
ECTS | 10 |
Grading | Final exam (120 min, 100%) |
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.
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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 high technical 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 the specialist 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 level as 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: • Econometrics; Bruce E. Hansen; University of Wisconsin; www.ssc.wisc.edu/~bhansen/econometrics/ |
Expected number of students in class | 65 |
Contact information | Name: Prof. Dr. Markus Frölich; Email: froelich@uni-mannheim.de; Office: L7, 3–5, room 114; Office hours: upon appointment |
Lehrmethode | Blockseminar |
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Art und Verwendbarkeit des Moduls | Wahlveranstaltung im Bachelorstudiengang Volkswirtschaftslehre |
Modulverantwortliche/r | Prof. Dr. Markus Frölich |
Semester | every term |
Start, End/ Time & Location | Please find the latest data under our course catalog |
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 |
Examination | TBA |
Benotung | 15 Seiten schriftliche Seminararbeit (50%), 30 Min. Vortrag (25%), 10 Min. Koreferat (25%) |
Erwartete Zahl der Teilnehmer/ | max. 13 |
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. Die Studierenden sollen aktuelle Probleme von Entwicklungsländern erörtern und erkennen sowie empirische Studien zu diesen 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 zu erlernen. 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 der wissenschaftlichen Forschung, dar. |
Erwartete Kompetenzen nach Abschluss des Moduls | Die Studierenden haben gelernt, einen Aufsatz zu einem Thema aus 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 eine kritische 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/ |
Course Type | Research Seminar (3 and 4th year) |
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Lecturer | Prof. Dr. Markus Frölich |
Semester | fall term 2023 |
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/studienbueros/pruefungen/pruefungstermine/ |
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: |