Universität Passau
32430 Vorlesung: Evaluation of Development Policies - Details
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Untertitel englisch
Veranstaltungsnummer 32430
Semester SoSe 23
Aktuelle Anzahl der Teilnehmenden 42
erwartete Teilnehmendenanzahl 75
Heimat-Einrichtung Lehrstuhl f. Development Economics
beteiligte Einrichtungen Graduiertenzentrum
Veranstaltungstyp Vorlesung in der Kategorie Lehre (mit Prüfung)
Erster Termin Mo., 17.04.2023 14:00 - 16:00 Uhr, Ort: (HK 28) SR 010 (HA)
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
  • A course book with detailed information about the course.
  • Lecture notes.

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

Studienbereiche

Modulzuordnungen

Kommentar/Beschreibung

Slow economic growth in many parts of the world has led to development aid pessimism. While some believe aid in general does not work and argue that development cannot be planned others think that in fact aid was simply not significant enough to be successful. Hence the former argue in favour of smaller steps and to build on what works, while the latter ask for a substantial increase of aid. This debate has raised the interest in and need of rigorous policy and project evaluations which can in a credible way establish a link between cause and effect. This course introduces students to the concept and various methods of experimental and quasi experimental impact evaluations. All methods are presented using real world examples. Hence policies and projects are discussed in conjunction with the methods that can be used to evaluate them. Examples include conditional cash transfer programs, the implementation of health insurance, unemployment insurance and a school construction programme among many others.

The methods that are discussed in this course are similar to those used in OECD countries to evaluate for example active labour market policies and social security reforms. Hence, the course is not only of interest for students with a special interest in development, but for all students that aim to get experience in policy evaluation more generally.

The course is accompanied by a tutorial in which students acquire hands-on experience on how to assess impacts using real data and an econometric software package, STATA. The first few lessons help students to get acquainted with STATA, the leading statistical software package in economics and other social sciences.