| Dozent/in |
Prof. Maarten Lindeboom und Prof. Bas van der Klaauw |
| Veranstaltungsart |
Doktorierendenkolloquium |
| Code |
FS241658 |
| Semester |
Frühjahrssemester 2024 |
| Durchführender Fachbereich |
Gesundheitswissenschaften |
| Studienstufe |
Doktorat |
| Termin/e |
Mo, 08.07.2024, 10:00 - 17:00 Uhr, 3.B48
Di, 09.07.2024, 10:00 - 17:00 Uhr, 3.B48
Mi, 10.07.2024, 10:00 - 17:00 Uhr, 3.B48
Do, 11.07.2024, 10:00 - 17:00 Uhr, 3.B48
Fr, 12.07.2024, 10:00 - 12:30 Uhr, 3.B48 |
| Inhalt |
AIM: The aim of this course is to provide the students with state of the art econometric methods for evaluation of public policy. The course deals with theoretical literature on causal inference in lectures, but emphasis is given to empirical applications using micro data. The course, therefore, includes also practical computer assignments using Stata. |
| Lernziele |
The aim of this course is to provide the students with state of the art econometric methods for evaluation of public policy. The course deals with theoretical literature on causal inference in lectures, but emphasis is given to empirical applications using micro data. The course, therefore, includes also practical computer assignments using Stata.
The key objective of the course is to make students familiar with empirical tools for public policy evaluation and to provide an introduction to working with micro data. |
| Voraussetzungen |
Students are assumed to be familiar with the basic concepts in econometrics, such as linear regression, instrumental variables, panel data, logit/probit models and hypothesis testing. Preferably, students have followed an introductory course in econometrics at the graduate level, but students who completed a course in statistics or advanced research methods are also considered. Students should be familiar with a statistical package, preferably Stata. |
| Sprache |
Englisch |
| Anmeldung |
Uniportal |
| Prüfung |
The solutions to the two empirical assignments should be handed in together with a take-home exam, which should be completed in the weeks after the course. For the final grade the empirical assignments count for 50% and the take-home exam for the other 50%. |
| Abschlussform / Credits |
Schriftliche Prüfung, pass or fail / 3 Credits
|
| Hinweise |
FORMAT: The course contains six classroom lectures and three computer lab sessions. During these computer lab sessions students have to work with Stata to make empirical assignments. |
| Hörer-/innen |
Ja |
| Kontakt |
Prof. Dr. Stefan Boes, stefan.boes@unilu.ch |
| Material |
The course is not based on a single textbook but it covers the recent literature on policy evaluation and duration models.
COURSE MATERIAL: The course is not based on a single textbook but it covers the recent literature on policy evaluation and duration models. This literature is summarized in the literature below:
• Angrist, J (2014), The perils of peer effects, Labour Economics 30, 98-108.
• Blundell, R. and M. Costa Dias (2009), Alternative approaches to evaluation in empirical microeconomics, Journal of Human Resources, forthcoming.
• Cameron, A.C. and P.K. Trivedi (2004), Applied Microeconometrics, Cambridge University Press.
• Cunningham, S. Causal Inference: The Mixtape: https://mixtape.scunning.com
• DiNardo, D. and J.S. Lee (2011), Program evaluation and research designs, in O. Ashenfelter and D. Card, Handbook of Labor Economics 4A, North-Holland, Amsterdam.
• Duflo, E., R. Glennerster and M. Kremer (2008), Using randomization in development economics research: a toolkit, Chapter 61 in Handbook of Development Economics, Volume 4, 3895{3962).
• Heckman, J.J., R.J. LaLonde and J.A. Smith (2000), The economics and econometrics of active labor market programs, in O. Ashenfelter and D. Card (eds.), Handbook of Labor Economics, Volume 3, North-Holland, Amsterdam.
• Huntington-Klein, N. The Effect: An Introduction to Research Design and Causality: https://theeffectbook.net
• Imbens, G. and T. Lemieux (2008), Regression discontinuity designs: a guide to practice, Journal of Econometrics 142, 615-635
• Imbens, G.W. and J.M. Wooldridge (2009), Recent developments in the econometrics of program evaluation, Journal of Economic Literature 47, 5-86.
• Kiefer, N.M. (1988), Economic duration data and hazard functions, Journal of Economic Literature 26, 646--679.
• Lancaster, T. (1990), The econometric analysis of transition data, Cambridge University Press.
• Van den Berg, G.J. (2001), Duration models: specification, identification, and multiple duration, in J.J. Heckman and E.E. Leamer (eds.), Handbook of Econometrics, Volume 5, North-Holland, Amsterdam.
• Wooldridge, J. (2002), Econometric Analysis of Cross section and panel data, MIT Press.
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