Extremum sieve estimation in k-out-of-n systems

Komarova, Tatiana ORCID: 0000-0002-6581-5097 (2013) Extremum sieve estimation in k-out-of-n systems. Econometrics (EM/2013/564). Suntory and Toyota International Centres for Economics and Related Disciplines, London, UK.

Preview

PDF - Published Version Download (134kB) | Preview

• Publisher

Abstract

The paper considers nonparametric estimation of absolutely continuous distribution functions of lifetimes of non-identical components in k-out-of-n systems from the observed “autopsy” data. In economics,ascending “button” or “clock” auctions with n heterogeneous bidders present 2-out-of-n systems. Classical competing risks models are examples of n-out-of-n systems. Under weak conditions on the underlying distributions the estimation problem is shown to be well-posed and the suggested extremum sieve estimator is proven to be consistent. The paper illustrates the suggested estimation method by using sieve spaces of Bernstein polynomials which allow an easy implementation of constraints on the monotonicity of estimated distribution functions.

Item Type:	Monograph (Report)
Official URL:	http://sticerd.lse.ac.uk/
Additional Information:	© 2013 The Author
Divisions:	STICERD
Subjects:	H Social Sciences > HB Economic Theory
Date Deposited:	22 Jul 2014 08:47
Last Modified:	15 Sep 2023 22:22
URI:	http://eprints.lse.ac.uk/id/eprint/58074

Actions (login required)

View Item