Anderson, Gordon, Linton, Oliver and Whang, Yoon-Jae (2009) Nonparametric estimation of a polarization measure. Econometrics Papers, EM/2009/534. Suntory Centre, London School of Economics and Political Science, London, UK.
|
PDF
Download (505Kb) | Preview |
Abstract
This paper develops methodology for nonparametric estimation of a polarization measure due to Anderson (2004) and Anderson, Ge, and Leo (2006) based on kernel estimation techniques. We give the asymptotic distribution theory of our estimator, which in some cases is nonstandard due to a boundary value problem. We also propose a method for conducting inference based on estimation of unknown quantities in the limiting distribution and show that our method yields consistent inference in all cases we consider. We investigate the finite sample properties of our methods by simulation methods. We give an application to the study of polarization within China in recent years.
| Item Type: | Monograph (Discussion Paper) |
|---|---|
| Official URL: | http://sticerd.lse.ac.uk/_new/publications/series.... |
| Additional Information: | © 2009 the authors |
| Library of Congress subject classification: | H Social Sciences > HB Economic Theory |
| Journal of Economic Literature Classification System: | C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods: General > C14 - Semiparametric and Nonparametric Methods C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods: General > C13 - Estimation C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods: General > C12 - Hypothesis Testing |
| Sets: | Collections > Economists Online Departments > Economics Research centres and groups > Suntory and Toyota International Centres for Economics and Related Disciplines (STICERD) |
| Rights: | http://www.lse.ac.uk/library/rights/LSERO.htm |
| Identification Number: | EM/2009/534 |
| URL: | http://eprints.lse.ac.uk/25378/ |
Actions (login required)
 |
Record administration - authorised staff only |
