Date(s) - 18/05/2021 All Day
This is an advanced-level course on quantitative empirical methods for policy evaluation. Inferences about causation are of great interest in business and economics research. Examples of causal inference in these fields include, estimating the effect of changes in regulations on financial transactions; measuring the impact of foreign acquisitions on firm’s performance; etc. However, a key challenge in quantitative social science research is the difficulty to conduct controlled experiments to estimate such effects. Policy evaluation methods have the potential to offer robust estimates of causal effects in such non-experimental contexts. These methods are designed to measure the impact of interventions (or treatments) on certain outcomes of interest using observational (non-experimental) data.
The aim of this workshop is to consider micro-econometric policy evaluation methods for observational studies, with binary as well multivalued treatments. Starting from the potential outcomes framework, and the definition of various causal effects, it provides an in-depth treatment of the theory and practice of two variants of propensity score based estimation methods: matching and inverse probability weighted estimators.
This is an advanced-level course on quantitative empirical methods for policy evaluation. As such, familiarity with basic and intermediate regression analysis (such as OLS estimation, probit/logit models, and panel data techniques) is required.
The applied part of the workshop will make use of Stata; thus, familiarity with STATA software is strongly recommended.
Professor Sourafel Girma is Professor of Industrial Economics at the University of Nottingham and Fellow of the Kiel Centre for Globalization. Trained as an econometrician, Professor Girma’s research interests and expertise lie in the area of applied micro-econometrics with special focus on firm level adjustment to the process of globalisation and international industrial organisation. He is a world known expert in policy evaluation methods for observational studies and other advanced micro-econometrics techniques for longitudinal data. His work has been extensively published in top international journals including Journal of Econometrics, Journal of International Economics, Journal of International Business Studies, Journal of Industrial Economics, World Bank Economic Review and European Economic Review, amongst others.
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