This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

Health econometrics

In: Handbook of Health Economics

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Jones, Andrew M.

Additional information is available for the following registered author(s):

Abstract

A decade ago, Newhouse (1987) assessed the balance of trade between imports from the econometrics literature into health economics, and exports from health economics to a wider audience. While it is undoubtedly true that imports of concepts and techniques still dominate the balance, the literature reviewed in this chapter shows that the range and volume of applied econometric work in health economics has increased dramatically over the past ten years.Examples of good practice in health econometrics make extensive use of tests for misspecification and explicit model selection criteria. Robust and distribution-free estimators are of increasing importance, and the chapter gives examples of nonparametric, and semiparametric estimators applied to sample selection, simultaneous equations, count data, and survival models.Published replications of empirical results remain relatively rare. One way in which this deficit may be remedied is through the appearance of more systematic reviews of econometric studies. The use of experimental data remains an exception and most applied studies continue to rely on observational data from secondary sources. However applied work in health economics is likely to be influenced by the debate concerning the use of data from social experiments.The chapter illustrates the impressive diversity of applied econometric work over the past decade. Most of the studies reviewed here use individual level data and this has led to the use of a wide range of nonlinear models, including qualitative and limited dependent variables, along with count, survival and frontier models. Because of the widespread use of observational data, particular attention has gone into dealing with problems of self-selection and heterogeneity bias. This is likely to continue in the future, with the emphasis on robust estimators applied to longitudinal and other complex datasets.

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. In case of further problems read the IDEAS help file. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.sciencedirect.com/science/article/B7P5R-4FF8276-B/2/7ac69b9552e0293f727d04f2b96bf136
File Format:
File Function:
Download Restriction: Full text for ScienceDirect subscribers only

As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

Publisher Info
Download reference. The following formats are available: HTML, plain text, BibTeX, RIS (EndNote), ReDIF
This chapter was published in: A. J. Culyer & J. P. Newhouse (ed.) Handbook of Health Economics, , chapter 06, pages 265-344, 2000.

This item is provided by Elsevier in its series Handbook of Health Economics with number 1-06.

Handle: RePEc:eee:heachp:1-06

Contact details of provider:
Web page: http://www.elsevier.com/wps/find/bookseriesdescription.cws_home/BS_HE/description

For technical questions regarding this item, or to correct its listing, contact: (Heidi Boesdal).

Related research
This chapter was published in the following book, which is listed on IDEAS:
A. J. Culyer & J. P. Newhouse (ed.), 2000. "Handbook of Health Economics," Handbook of Health Economics, Elsevier, edition 1, volume 1, number 1. [Downloadable!] (restricted)
Keywords:

Other versions of this item:

Find related papers by JEL classification:
I1 - Health, Education, and Welfare - - Health

Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)
This item has more than 25 citations. To prevent cluttering this page, these citations are listed on a separate page.
Statistics
Access and download statistics

Did you know? The most prolific authors have over 400 items listed on IDEAS.

This page was last updated on 2008-10-3.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.