Bounds on effects of class size reduction in project STAR

Research output: Contribution to journalArticle

Abstract

Beginning with the seminal work of Manski (1990), there has been a growing literature on estimation and inference on partially identifiable parameters, including the distribution and/or quantile functions of the heterogeneous treatment effect. This article applies and extends the bounding approaches that Williamson and Downs (1990) and Fan and Park (2010, 2012) to partially identify distribution of treatment effects of class size reduction (CSR). Empirical data I used are from the Project STAR. Conducted by Tennessee State Department of Education in 1985-1988, it was a large-scale, randomized experiment designed to investigate the effect of CSR on student performance. As an extension of the bounding approach that Fan and Park (2010) used, I proposed bounds for the conditional probability distribution function of treatment effects on pre-treatment outcomes. Although it was hard to find definitive properties of the conditional distribution due to the nature of bounding approach, I find the approach is insightful and has a potential.

Original languageEnglish
Pages (from-to)26-47
Number of pages22
JournalJournal of Economic Theory and Econometrics
Volume29
Issue number1
Publication statusPublished - 2018 Mar 1

Fingerprint

Class size
Treatment effects
Quantile
Randomized experiments
Distribution function
Education
Heterogeneous treatment effects
Conditional probability
Conditional distribution
Probability distribution
Pretreatment
Treatment outcome
Inference
Student performance
Empirical data

Keywords

  • Bounds on treatment effects
  • Class size reduction
  • Partial identification
  • Project STAR

ASJC Scopus subject areas

  • Economics and Econometrics

Cite this

Bounds on effects of class size reduction in project STAR. / Park, Sang-Soo.

In: Journal of Economic Theory and Econometrics, Vol. 29, No. 1, 01.03.2018, p. 26-47.

Research output: Contribution to journalArticle

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