A Causal Interpretation of Extensive and Intensive Margin Effects in Generalized Tobit Models

Kevin Staub

The Review of Economics and Statistics, 2014, vol. 96, issue 2, 371-375

Abstract: This note proposes a new decomposition of average treatment effects on nonnegative outcomes. It represents the total effect as a population-weighted sum of the effects for two groups: those induced to participate by the treatment and those participating regardless of it. The usual decomposition into extensive and intensive margins used in the literature is generally incompatible with such a causal interpretation. The difference between decompositions can be substantial and yield diametrically opposed results. © 2014 The President and Fellows of Harvard College and the Massachusetts Institute of Technology.

Keywords: limited dependent variables; potential outcomes; causality; conditionalon-positives effect; Tobit; selection model. two-part model (search for similar items in EconPapers)
JEL-codes: C24 C34 (search for similar items in EconPapers)
Date: 2014
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Citations: View citations in EconPapers (10)

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Working Paper: A causal interpretation of extensive and intensive margin effects in generalized Tobit models (2010)
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