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| Semester | Herbstsemester 2020 |
| Angebotsmuster | Jedes Herbstsemester |
| Dozierende |
Ulrike Unterhofer (ulrike.unterhofer@unibas.ch)
Conny Wunsch (conny.wunsch@unibas.ch, BeurteilerIn) Véra Zabrodina (vera.zabrodina@unibas.ch) |
| Inhalt | Contents Does welfare spending reduce poverty? Does a minimum wage destroy jobs? Does trade liberalisation increase inequality? Does development aid really help poor countries? Do longer sentences reduce crime? Do workers and consumers respond to tax incentives? Do open-plan offices harm worker productivity? Policy makers, firms and economists around the globe are confronted with such questions on a daily basis and effective measures can only be designed with good answers. Measuring and understanding the causal effect of policies and other measures economic agents use is now more important than ever in any field, from development to labour, from finance to education and beyond. This course offers students a comprehensive understanding of the state-of-the-art techniques for causal analysis and how they should be applied in practice. Quantifying causal effects in a credible way is very challenging and the econometric methods for causal analysis provide the necessary toolkit. This course covers the main methods for causal analysis with a focus on approaches that impose as few assumptions as possible. The objective of this course is to enable students to understand and apply these methods. Methodologically, the course covers the following: 1. Introduction to causal analysis 2. The potential outcome model 3. Identification versus estimation 4. Method 1: Exploiting rich data to handle endogeneity issues 5. Method 2: Exploiting policy changes with a difference-in-differences approach 6. Method 3: Exploiting exogenous variation with an instrumental variable 7. Method 4: Exploiting policy discontinuities with a regression discontinuity design 8. Method 5: Uncovering causal mechanisms behind causal effects 9. Method 6: Uncovering distributional causal effects We start with the theoretical econometric foundations of each method and discuss the assumptions that allow the researcher to estimate a causal effect. Next, we discuss a research paper that applies the method and is easy to understand by students from different backgrounds to obtain a deeper understanding of what the assumptions mean and how an actual application looks like. In the last step, we implement the method with real data in the PC lab. Making the step from theoretical knowledge of an econometric method to actually applying it to a specific question with real data often proves very challenging. Also, presenting results in a meaningful way is important for making sure that the empirical evidence provided is a useful input, e.g. for policy makers. Therefore, students in this course also learn how to validate data, how to select the estimation sample, how to prepare the data for later analysis, how to produce and interpret relevant descriptive statistics, how to conduct the empirical analysis, how to present and interpret the results and how to provide supporting evidence for the validity of the chosen methodology. |
| Lernziele | Learning objectives • Understanding the challenges involved in causal analysis. • Understanding the state-of-the-art techniques for causal analysis. • Being able to judge the quality and credibility of empirical research. • Being able to apply the state-of-the-art techniques for causal analysis. • Being able to present the results of an empirical analysis in a meaningful way. Target groups • students who are interested in empirical policy evaluation • students who are interested in writing an empirical master’s thesis • student who are interested in econometric methods • beginning doctoral students |
| Literatur | A list with compulsory and recommended readings will be provided on ADAM. References for further readings will be provided on the slides. |
| Weblink | Weblink |
| Teilnahmebedingungen | Students should be familiar with basis statistics (expectations, conditional expectations, distribution functions) as well as standard OLS and instrumental variable approaches such as 2SLS. Knowledge about panel data methods is helpful as well. Recommended courses are 10172-01 "Einführung in die Ökonometrie", 12036-01 "Econometrics" and 41957-01 "Fundamentals of Econometric Theory". |
| Anmeldung zur Lehrveranstaltung | Registration: Please enrol in MOnA. EUCOR-Students and students of other Swiss Universities have to enrol at the students administration office (studseksupport1@unibas.ch) within the official enrolment period. Enrolment = Registration for the exam! |
| Unterrichtssprache | Englisch |
| Einsatz digitaler Medien | kein spezifischer Einsatz |
| Intervall | Wochentag | Zeit | Raum |
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Keine Einzeltermine verfügbar, bitte informieren Sie sich direkt bei den Dozierenden.
| Module |
Modul: Fachlich-methodische Weiterbildung (Doktoratsstudium - Wirtschaftswissenschaftliche Fakultät) Vertiefungsmodul: Labour Economics, Human Resources and Organization (Masterstudium: Wirtschaftswissenschaften) Vertiefungsmodul: Markets and Public Policy (Masterstudium: Wirtschaftswissenschaften) Vertiefungsmodul: Quantitative Methods (Masterstudium: Wirtschaftswissenschaften) |
| Leistungsüberprüfung | Semesterendprüfung |
| Hinweise zur Leistungsüberprüfung | The final grade will be based on several small bi-weekly assignments between lab sessions on the one hand, and a bigger final assignment after the last session on the other hand. The bi-weekly assignments will consist of smaller coding exercises and some open questions. For the larger final assignment, students will receive data with which they have to apply one or more of the methods covered in class. Depending on class size, assignment will be conducted in groups of 1-4 students. |
| An-/Abmeldung zur Leistungsüberprüfung | Anmeldung: Belegen |
| Wiederholungsprüfung | keine Wiederholungsprüfung |
| Skala | 1-6 0,1 |
| Wiederholtes Belegen | beliebig wiederholbar |
| Zuständige Fakultät | Wirtschaftswissenschaftliche Fakultät / WWZ, studiendekanat-wwz@unibas.ch |
| Anbietende Organisationseinheit | Wirtschaftswissenschaftliche Fakultät / WWZ |