Search Results - subject:"casual inference"

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The Essential Role of Pair Matching in Cluster-Randomized Experiments, with Application to the Mexican Universal Health Insurance Evaluation

Imai, Kosuke; King, Gary; Nall, Clayton Matthew - 2009

Government

Persistent link: https://www.econbiz.de/10009431899

Chapter 1. Causal Inference in Urban and Regional Economics

Baum-Snow, Nathaniel; Ferreira, Fernando - In: Handbook of regional and urban economics : volume 5, (pp. 3-68). 2015

Recovery of causal relationships in data is an essential part of scholarly inquiry in the social sciences. This chapter discusses strategies that have been successfully used in urban and regional economics for recovering such causal relationships. Essential to any successful empirical inquiry is...

Persistent link: https://www.econbiz.de/10014025318

Identification and Estimation of Casual Mechanisms and Net Effects of a Treatment

Flores, Carlos A.; Flores-Lagunes, Alfonso - Department of Economics, School of Business - 2007

An important goal in the analysis of the causal effect of a treatment on an outcome is to understand the mechanisms through which the treatment causally works. In the economics literature, however, there seems to be no available framework to estimate the relative importance of different causal...

Persistent link: https://www.econbiz.de/10005227916

A Cautionary Note on the Use of Matching to Estimate Causal Effects: An Empirical Example Comparing Matching Estimates to an Experimental Benchmark

Arceneaux, Kevin; Gerber, Alan S.; Green, Donald P. - In: Sociological Methods & Research 39 (2010) 2, pp. 256-282

In recent years, social scientists have increasingly turned to matching as a method for drawing causal inferences from observational data. Matching compares those who receive a treatment to those with similar background attributes who do not receive a treatment. Researchers who use matching...

Persistent link: https://www.econbiz.de/10009004388