Testing for distributional features in varying coefficient panel data models. (15th March 2020)
- Record Type:
- Journal Article
- Title:
- Testing for distributional features in varying coefficient panel data models. (15th March 2020)
- Main Title:
- Testing for distributional features in varying coefficient panel data models
- Authors:
- Soberon, Alexandra
Stute, Winfried
Rodriguez-Poo, Juan M. - Abstract:
- Abstract: This article provides several tests for skewness and kurtosis for the error terms in a one-way fixed-effects varying coefficient panel data model. To obtain these tests, estimators of higher-order moments of both error components are obtained as solutions of estimating equations. Additionally, to obtain the nonparametric residuals, a local constant estimator based on a pairwise differencing transformation is proposed. The asymptotic properties of these estimators and tests are established. The proposed estimators and test statistics are augmented by simulation studies, and they are also illustrated in an empirical analysis regarding the technical efficiency of European Union companies.
- Is Part Of:
- Econometric reviews. Volume 39:Number 3(2020)
- Journal:
- Econometric reviews
- Issue:
- Volume 39:Number 3(2020)
- Issue Display:
- Volume 39, Issue 3 (2020)
- Year:
- 2020
- Volume:
- 39
- Issue:
- 3
- Issue Sort Value:
- 2020-0039-0003-0000
- Page Start:
- 277
- Page End:
- 298
- Publication Date:
- 2020-03-15
- Subjects:
- Moment estimator -- pairwise difference -- longitudinal data -- skewness -- kurtosis
Econometrics -- Periodicals
330.015195 - Journal URLs:
- http://www.tandfonline.com/toc/lecr20/current ↗
http://www.tandfonline.com/ ↗ - DOI:
- 10.1080/07474938.2019.1624403 ↗
- Languages:
- English
- ISSNs:
- 0747-4938
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3650.080000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 12500.xml