Propensity Score-based Methods Versus MTE-based Methods in Casual Inference: Identification, Estimation, and Application  

Oleh:

Xie, Yu ; Xiang, Zhou

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: Sociological Methods & Research (SMR) vol. 45 no. 01 (Feb. 2016), page 3-40.
Topik: casual effects; exclusion restriction; heterogeneity; ignorability; instrumental variable; marginal treatment effect; propensity score; selection bias

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Perpustakaan PKPM Nomor Panggil: S28 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Isi artikel

Since the seminal introduction of the propensity score (PS) by Rosenbaum and Rubin, PS-based methods have been widely used for drawing causal inferences in the behavioral and sosial sciences. However, the PS approach depends on the ignorabillity assumption: there are no unobserved confounders once observed covariates are taken into account. For situatons where this assumption may be violated, Heckman and his associates have recently developed a novel approach based on marginal treatment effects (MTEs). In this article, we (1) explicate the consequences for PS-based methods when aspects of the ignorability assumption are violated, (2) compare PS-based methods and MTE-based methods by making a close examination of their identification assumptions and estimation performances, (3) apply these two approaches in estimating the economic return to collage using data from the National Longitudinal Survey of Youth (NLSY) of 1979 and discuss their discrepancies in results. When there is a sorting gain but no systematic baseline difference between treated and untreated units given observed covariates.

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