865-0008-00L Policy Evaluation and Applied Statistics
| Semester | Herbstsemester 2021 |
| Dozierende | I. Günther |
| Periodizität | 2-jährlich wiederkehrende Veranstaltung |
| Lehrveranstaltung | Findet dieses Semester nicht statt. |
| Lehrsprache | Englisch |
| Kommentar | Nur für MAS in Entwicklung und Zusammenarbeit und Science, Technology, and Policy MSc. |
Lehrveranstaltungen
| Nummer | Titel | Umfang | Dozierende | |
|---|---|---|---|---|
| 865-0008-00 G | Policy Evaluation and Applied Statistics Findet dieses Semester nicht statt. Termine n.V. Ort: CLD | 40s Std. | I. Günther |
Katalogdaten
| Kurzbeschreibung | This course introduces students to key methods for quantitative policy impact evaluation and covers the different stages of the research process. Acquired skills are applied in a self-selected project applying experimental methods. Students also learn how to perform simple statistical analyses with the statistical Software R. |
| Lernziel | Students - know strategies to test causal hypotheses using experimental methods and regression analysis. - are able to formulate and implement a research design for a particular policy question and a particular type of data. - are able to critically read and assess published studies on policy evaluation. - are able to use the statistical software R for data analysis. - can apply all the steps involved in a policy impact evaluation. |
| Inhalt | Policy impact evaluation employs a wide variety of research methods, such as statistical analysis of secondary data, surveys or laboratory and field experiments. The course will begin with an overview of the various methodological approaches, including their advantages and disadvantages and the conditions under which their use is appropriate. It will continue with a discussion of the different stages of a policy impact evaluation, including hypothesis generation, formulating a research design, measurement, sampling, data collection and data analysis. For data analysis, linear regression models will be revised, with a focus on difference-in-difference methods, regression discontinuity design and randomized controlled trials used for policy evaluation. Students, who already have a solid background in these methods can skip these sessions. Throuhgout the course, students will work on a self-selected project on a suitable topic. In addition, students will have to solve bi-weekly assignments. |
Leistungskontrolle
| Information zur Leistungskontrolle (gültig bis die Lerneinheit neu gelesen wird) | |
Leistungskontrolle als Semesterkurs | |
| ECTS Kreditpunkte | 3 KP |
| Prüfende | I. Günther, K. Harttgen |
| Form | benotete Semesterleistung |
| Prüfungssprache | Englisch |
| Repetition | Repetition nur nach erneuter Belegung der Lerneinheit möglich. |
Lernmaterialien
| Keine öffentlichen Lernmaterialien verfügbar. | |
| Es werden nur die öffentlichen Lernmaterialien aufgeführt. |
Gruppen
| Keine Informationen zu Gruppen vorhanden. |
Einschränkungen
| Vorrang | Die Belegung der Lerneinheit ist nur durch die primäre Zielgruppe möglich |
| Primäre Zielgruppe | Science, Technology and Policy MSc (860000)
MAS ETH in Entwicklung und Zusammenarbeit (865000) |
Angeboten in
| Studiengang | Bereich | Typ | |
|---|---|---|---|
| MAS in Entwicklung und Zusammenarbeit | Wahlfächer | W |  |
| Science, Technology, and Policy Master | Wahlfächer | W | |