Allgemeine Informationen
Veranstaltungsname | Vorlesung: 32430 Evaluation of Development Policies |
Untertitel | englisch |
Veranstaltungsnummer | 32430 |
Semester | SoSe 24 |
Aktuelle Anzahl der Teilnehmenden | 40 |
erwartete Teilnehmendenanzahl | 75 |
Heimat-Einrichtung | Lehrstuhl für Development Economics |
beteiligte Einrichtungen | Graduiertenzentrum |
Veranstaltungstyp | Vorlesung in der Kategorie Lehre (mit Prüfung) |
Erster Termin | Montag, 15.04.2024 14:00 - 16:00 Uhr, Ort: (HK 28) SR 001 |
Art/Form | Zoom/Videos |
Voraussetzungen |
Basic knowledge in Econometrics is required. Prior knowledge in development economics/development studies is an advantage. |
Lernorganisation |
Lecture with interactive elements, hands-on exercises in the computer lab. The course starts with 2 lectures per week, lectures ending presumably 4 weeks before the end of the semester. The accompanying exercises are held until the end of the semester. |
Leistungsnachweis |
Assignment to be submitted (100%). The assignment consists of an evaluation problem that has to be solved using a data set and the Stata software package. Students submit a corresponding research note explaining the evaluation problem, the used evaluation approach, the main results and a policy relevant conclusion. |
SWS |
2 |
Literatur |
Material
Readings (see the course book for more details) |
Turnus |
Sommersemester |
Qualifikationsziele |
Students who have successfully participated in the Module “Evaluation of Development Policies”: • explain the concept of causal inference. • identify an adequate evaluation strategy for a given policy or project. • develop the theory of change associated with a policy or project. • perform power calculations and alternative sampling strategies. • analyse the data in line with the various evaluation methods using the Stata software package. • interpret results from impact evaluations. • complement quantitative evidence with relevant qualitative research to further illustrate the underlying mechanisms linking project inputs to outcomes and ultimate impacts. • assess critically the quality of impact evaluations. • derive policy recommendations from impact evaluations. |
Workload |
Lecture 2 SWS (28 h Contact hours and 48 h Self study) Tutorial 2 SWS (24 h Contact hours and 24 h Self study) Exam Preparation (2 h Contact hours and 24 h Self study) We are calculating with 15 semester weeks (14 lecture + 1 examination week). Each SWS is included in the calculation with 60 minutes. |
Sonstiges |
One guest-lecture (details to be announced) |
ECTS-Punkte |
5 |