Kenneth Harttgen: Catalogue data in Spring Semester 2020
|Name||Dr. Kenneth Harttgen|
Professur für Entwicklungsökonomie
ETH Zürich, CLD B 10.1
|Telephone||+41 44 632 98 25|
|Department||Humanities, Social and Political Sciences|
|751-1500-00L||Development Economics||3 credits||2V||I. Günther, K. Harttgen|
|Abstract||Introduction into basic theoretical and empirical aspects of economic development. Prescriptive theory of economic policy for poverty reduction.|
|Objective||The goal of this lecture is to introduce students to basic development economics and related economic and developmental contexts.|
|Content||The course begins with a theoretical and empirical introduction to the concepts of poverty reduction and issues of combating socioeconomic inequality. Based on this, important external and internal drivers of economic development and poverty reduction are discussed as well as economic and development policies to overcome global poverty. In particular, the following topics are discussed:|
- measurement of development, poverty and inequality,
- growth theories
- trade and development
- education, health, population and development
- states and institutions
- fiscal,monetary- and exchange rate policies
|Literature||Günther, Harttgen und Michaelowa (2020): Einführung in die Entwicklungsökonomik.|
|Prerequisites / Notice||Voraussetzungen: |
Grundlagenkenntisse der Mikro- und Makroökonomie.
Die Veranstaltung besteht aus einem Vorlesungsteil, aus eigener Literatur- und Recherchearbeit sowie der Bearbeitung von Aufgabenblättern.
Die Vorlesung basiert auf: Günther, Harttgen und Michaelowa (2019): Einführung in die Entwicklungsökonomik. Einzelne Kapitel müssen jeweils vor den Veranstaltungen gelesen werden. In den Veranstaltungen wird das Gelesene diskutiert und angewendet. Auch werden offene Fragen der Kapitel und Übungen besprochen.
|860-0042-00L||Statistics 2 |
Only for MSc Science, Technology and Policy
|4 credits||2G||K. Harttgen, I. Günther|
|Abstract||This course introduces students to key statistical methods for analyzing social science data with a special emphasis on causal inference and policy evaluation.|
- have a sound understanding of standard regression techniques
- know strategies to test causal hypotheses using regression analysis and/or experimental methods
- are able to formulate and implement a regression model for a particular policy question and a particular type of data
- are able to critically interpret results of applied statistics, in particular, regarding causal inference
- are able to critically read and assess published studies on policy evaluation
- are able to use the statistical software Stata for data analysis
|Content||The topics covered in the first part of the course are a revision and linear regression and non-linear regression techniques such as probit and logit regression analysis. The second part of the course focuses on causal inference and introduces methods such as panel data analysis, difference-in-difference methods, instrumental variable estimation, regression discontinuity design, and randomized controlled trials used for policy evaluation. The course shows how the various methods differ in terms of the required identifying assumptions to infer causality as well as the data needs.|
Students will apply the methods from the lectures by solving bi-weekly assignments using statistical software and data sets provided by the instructors. These data sets will cover topics at the interface of policy, technology and society. Solving the assignments contributes to the final grade with a weight of 30%.
|865-0037-00L||M4P – Making Markets Work for the Poor|
Only for MAS/CAS in Development and Cooperation students, as well as specialists with at least 24 months of practical experience in international cooperation.
ETH doctoral students working on topics related to poverty reduction in low- and middle income countries may also be admitted.
Registration only through the NADEL administration office.
|2 credits||3G||K. Harttgen|
|Abstract||The course conveys basic knowledge about the M4P-project approach in development cooperation (Making Markets Work for the Poor). Important elements are: strategic framework of the M4P-concept; understanding systems and system change; sustainability and facilitation of system change; measurement and management of private sector promotion in development assistance.|
|Objective||The course conveys basic knowledge about the M4P-project approach in development cooperation (Making Markets Work for the Poor). Important elements are: strategic framework of the M4P-concept; understanding systems and system change; sustainability and facilitation of system change; measurement and management of private sector promotion in development assistance.|
|Prerequisites / Notice||Students of the course must fulfil requirements specified on the homepage of NADEL.|