Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/215318 
Year of Publication: 
2020
Series/Report no.: 
IZA Discussion Papers No. 12922
Publisher: 
Institute of Labor Economics (IZA), Bonn
Abstract: 
This chapter describes the main impact evaluation methods, both experimental and quasi-experimental, and the statistical model underlying them. Some of the most important methodological advances to have recently been put forward in this field of research are presented. We focus not only on the need to pay particular attention to the accuracy of the estimated effects, but also on the requirement to replicate assessments, carried out by experimentation or quasi-experimentation, in order to distinguish false positives from proven effects.
Subjects: 
causal inference
evaluation methods
causal effects
JEL: 
C1
C2
C3
C54
Document Type: 
Working Paper

Files in This Item:
File
Size
692.05 kB





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.