Testing for heterogeneous treatment effects in experimental data: false discovery risks and correction procedures.

We review the statistical models applied to test for heterogeneous treatment effects in the recent empirical literature, with a particular focus on data from randomised field experiments. We show that testing for heterogeneous treatment effects is highly common, and likely to result in a large numbe...

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Publicado en:	Journal of Development Effectiveness Vol. 6; no. 1; pp. 44 - 58
Autores principales:	Fink, Günther, McConnell, Margaret, Vollmer, Sebastian
Formato:	Artículo
Publicado:	Taylor & Francis Ltd Mar2014
Materias:	Analysis of variance Heterogeneous computing Statistical hypothesis testing Mathematical optimization Experimental design
Acceso en línea:	Ver este registro en EBSCOhost