Estimating features of a distribution from binomial data

Lewbel, Arthur, Linton, Oliver and McFadden, D. L. (2006) Estimating features of a distribution from binomial data. . Suntory and Toyota International Centres for Economics and Related Disciplines, London, UK.

Preview

PDF Download (602kB) | Preview

Abstract

A statistical problem that arises in several fields is that of estimating the features of an unknown distribution, which may be conditioned on covariates, using a sample of binomial observations on whether draws from this distribution exceed threshold levels set by experimental design. Applications include bioassay and destructive duration analysis. The empirical application we consider is referendum contingent valuation in resource economics, where one is interested in features of the distribution of values (willingness to pay) placed by consumers on a public good such as endangered species. Sample consumers are asked whether they favor a referendum that would provide the good at a cost specified by experimental design. This paper provides estimators for moments and quantiles of the unknown distribution in this problem under both nonparametric and semiparametric specifications.

Item Type:	Monograph (Discussion Paper)
Official URL:	http://sticerd.lse.ac.uk
Additional Information:	© 2006 the authors
Divisions:	Financial Markets Group Economics STICERD
Subjects:	H Social Sciences > HB Economic Theory
JEL classification:	C - Mathematical and Quantitative Methods > C2 - Econometric Methods: Single Equation Models; Single Variables > C25 - Discrete Regression and Qualitative Choice Models C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods: General > C14 - Semiparametric and Nonparametric Methods H - Public Economics > H4 - Publicly Provided Goods > H41 - Public Goods C - Mathematical and Quantitative Methods > C4 - Econometric and Statistical Methods: Special Topics > C42 - Survey Methods
Date Deposited:	21 Apr 2008 11:17
Last Modified:	13 Sep 2024 20:01
URI:	http://eprints.lse.ac.uk/id/eprint/4418

Actions (login required)

View Item