1985Journal of Business and Economic StatisticsRequires access

Comparing Public and Private Schools: The Puzzling Role of Selectivity Bias

Richard J. Murnane, Stuart Newstead, Randall J. Olsen

Open publisher page 100 citations

Abstract

Recent articles using the same data and variants of the same estimation technique report conflicting estimates of the relative quality of education provided by public and Catholic schools. This article explains the reasons for the conflict. In so doing, the article clarifies the assumptions underlying the increasingly popular two-step methods for controlling selectivity bias and highlights the hazards of using these methods when the assumptions are not satisfied. The article also illustrates an alternative method for detecting the presence of selectivity bias.

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What this paper is about

Recent articles using the same data and variants of the same estimation technique report conflicting estimates of the relative quality of education provided by public and Catholic schools. This article explains the reasons for the conflict. In so doing, the article clarifies the assumptions underlying the increasingly popular two-step methods for controlling selectivity bias and highlights the hazards of using these methods when the assumptions are not satisfied. The article also illustrates an alternative method for detecting the presence of selectivity bias.

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OpenAlex reports 100 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Recent articles using the same data and variants of the same estimation technique report conflicting estimates of the relative quality of education provided by public and Catholic schools. This article explains the reasons for the conflict. In so doing, the article clarifies the assumptions underlying the increasingly popular two-step methods for controlling selectivity bias and highlights the hazards of using these methods when the assumptions are not satisfied. The article also illustrates an alternative method for detecting the presence of selectivity bias.

Key concepts: Econometrics, Estimation, Quality (philosophy), Economics, Computer science, Epistemology, Management, Philosophy

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