Publication Type
Journal Article
Version
publishedVersion
Publication Date
2006
Abstract
Using the Box-Cox regression model with heteroscedasticity (BCHR), we re-examine the size distribution of the Portuguese manufacturing firms studied by Machado and Mata () using the Box-Cox quantile regression (BCQR) method. We show that the BCHR model compares favourably against the BCQR method. In particular, the BCHR model can answer the key questions addressed by the BCQR method, with the advantage that the estimated quantile functions are monotonic. Furthermore, estimation of the BCHR model is straightforward and the confidence intervals of the BCHR regression quantiles are easy to compute.
Discipline
Econometrics
Research Areas
Econometrics
Publication
Journal of Applied Econometrics
Volume
21
Issue
5
First Page
641
Last Page
653
ISSN
0883-7252
Identifier
10.1002/jae.870
Publisher
Wiley
Citation
YANG, Zhenlin and TSE, Yiu Kuen.
Modeling the Firm-Size Distribution Using Box-Cox Heteroscedastic Regression. (2006). Journal of Applied Econometrics. 21, (5), 641-653.
Available at: https://ink.library.smu.edu.sg/soe_research/380
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1002/jae.870