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Short courses PhD
Econometric Evaluation of Treatment
Effects 8 to 12 December
Workload: 2 ECTS
Faculty:
Pr. Pierre Dubois, Toulouse School
of Economics (GREMAQ, INRA, IDEI),
France Assessment:
The course
consists of a series of lectures and
self-study of the applied literature
leading to a written assignment.
Content and objectives
Since the
1990s, the econometric evaluation of
economic policies has been cast with
great benefits into the vocabulary
of the statistical literature
concerning “treatment effects”. It
addresses questions of causality
that economic policies purposively
have on the economic behaviour of
various economic agents. It aims at
distinguishing causal or treatment
effects from sheer descriptive
correlations in a framework that is
borrowed from treatment set-ups in
biological sciences. It allows for
ex-post evaluation of the objectives
of economic policies in terms of
targeting some sub-populations or in
terms of their impact and allows for
comparisons with the intended
targeting and impact when those
policies were designed.
This course is
meant to provide an introduction and
an overview of the main issues,
theories and practices regarding the
design and the implementation of
econometric evaluation of treatment
effects. The course aims at giving
basic knowledge on the treatment
effect literature that allows for
critical reading of reports of
analyses where some econometric
evaluation of economic policies is
performed.
Literature
-
Basic econometrics as
Hayashi, F., 2000,
Econometrics, Princeton
University
-
Heckman, JJ, R. Lalonde
and J. Smith (1999), “The
economics and econometrics of
active labor market programs” in
Handbook of Labor Economics
3B eds Ashenfelter and Card,
North Holland.
-
Heckman J. and Vytlacil E.
(2005) “Structural Equations,
Treatment Effects and
Econometric Policy Evaluation,”,
Econometrica, 2005,
73(3): 669-738
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Lee, MJ, (2005), Microeconometrics for policy,
program and&nbs treatment effects, Cambridge
UP.
-
Manski C. (1995) Identification Problems in the
Social Sciences, Harvard University Press
-
Meyer, B., (1995), “Natural and
quasi-experiments in economics”,
Journal of Business and Economic Statistics,
13:151-61
-
Wooldridge, J., (2002), Econometric Analysis of
Cross-Section and Panel Data,
MIT Press.
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