Quantiles of the Gain Distribution of an Early Childhood Intervention

46 Pages Posted: 6 Apr 2020

See all articles by Erich Battistin

Erich Battistin

Institute for Fiscal Studies (IFS)

Carlos Lamarche

University of Kentucky

Enrico Rettore

University of Trento; IRVAPP; IZA

Abstract

We offer a new strategy to identify the distribution of treatment effects using data from the Infant Health and Development Program (IHDP), a relatively understudied early-childhood intervention for low birth-weight infants. We introduce a new policy parameter, QCD, which denotes quantiles of the effect distribution conditional on latent neonatal health. The dependence between potential outcomes originates from a new class of factor models where latent health can affect the location and shape of distributions. We first show that QCD depends on quantiles of marginal outcome distributions given latent health. We then achieve identification of these marginal distributions and QCD by proxying latent health with neonatal anthropometrics and accounting for measurement error in these proxies. The effects of enrolling in IHDP are widely distributed across children and depend on neonatal health. Moreover, the large average effects documented in past work for close to normal birth weight children from low-income families are driven by a minority of children in this group.

Keywords: early childhood, factor models, policy evaluation, quantile regression, treatment effect distributions

JEL Classification: C13, C21, I14, J18

Suggested Citation

Battistin, Erich and Lamarche, Carlos and Rettore, Enrico, Quantiles of the Gain Distribution of an Early Childhood Intervention. IZA Discussion Paper No. 13101, Available at SSRN: https://ssrn.com/abstract=3568306

Erich Battistin (Contact Author)

Institute for Fiscal Studies (IFS) ( email )

7 Ridgmount Street
London, WC1E 7AE
United Kingdom

Carlos Lamarche

University of Kentucky ( email )

Lexington, KY 40506
United States

HOME PAGE: http://gattonweb.uky.edu/Faculty/lamarche/

Enrico Rettore

University of Trento ( email )

Via Verdi 26
Trento, 28122
Italy
+39 0461 281316 (Phone)

IRVAPP ( email )

Via Santa Croce 77
Trento, I-38122
Italy

IZA ( email )

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