Methods for Analyzing Schooling Choice with Household Survey Data

by Lee A. Lillard, Elizabeth M. King


Full Document

FormatFile SizeNotes
PDF file 1.1 MB

Use Adobe Acrobat Reader version 10 or higher for the best experience.


Purchase Print Copy

 FormatList Price Price
Add to Cart Paperback33 pages $20.00 $16.00 20% Web Discount

Much recent research has focused on different household choices such as family size, schooling, and labor supply. With judicious use of micro data from household surveys, these studies have greatly contributed to the understanding of demographic change and economic behavior. In this Note, the authors develop a method that offers a flexible approach to issues that arise from these analyses. Various applications of ordered polychotomous models to various economic behavior are found in existing literature. The authors offer this general approach as a method for analyzing household choices, such as child schooling, when family survey data are available. It provides a more efficient and flexible alternative to previously used techniques in utilizing censored data and in treating nonnormal discrete choices. The application to data in Section III illustrates levels of analyses that can be obtained from the model. In addition to these, the simulation procedure may be used to assess the effects of specific regressors on schooling outcomes under counterfactual situations.

This report is part of the RAND Corporation Note series. The note was a product of the RAND Corporation from 1979 to 1993 that reported other outputs of sponsored research for general distribution.

Permission is given to duplicate this electronic document for personal use only, as long as it is unaltered and complete. Copies may not be duplicated for commercial purposes. Unauthorized posting of RAND PDFs to a non-RAND Web site is prohibited. RAND PDFs are protected under copyright law. For information on reprint and linking permissions, please visit the RAND Permissions page.

The RAND Corporation is a nonprofit institution that helps improve policy and decisionmaking through research and analysis. RAND's publications do not necessarily reflect the opinions of its research clients and sponsors.