Modelling firm-size distribution using box-cox heteroscedastic regression

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 (2000) using the Box-Cox quantile regression (BCQR) method. We show that the BCHR model compares favourably against the BCQR method...

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Main Authors: YANG, Zhenlin, TSE, Yiu Kuen
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Language:English
Published: Institutional Knowledge at Singapore Management University 2006
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Online Access:https://ink.library.smu.edu.sg/soe_research/2109
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spelling sg-smu-ink.soe_research-31092017-11-23T01:30:10Z Modelling firm-size distribution using box-cox heteroscedastic regression YANG, Zhenlin TSE, Yiu Kuen 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 (2000) 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. Copyright (c) 2006 John Wiley & Sons, Ltd. 2006-07-01T07:00:00Z text https://ink.library.smu.edu.sg/soe_research/2109 info:doi/10.1002/jae.870 Research Collection School Of Economics eng Institutional Knowledge at Singapore Management University Econometrics
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Econometrics
spellingShingle Econometrics
YANG, Zhenlin
TSE, Yiu Kuen
Modelling firm-size distribution using box-cox heteroscedastic regression
description 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 (2000) 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. Copyright (c) 2006 John Wiley & Sons, Ltd.
format text
author YANG, Zhenlin
TSE, Yiu Kuen
author_facet YANG, Zhenlin
TSE, Yiu Kuen
author_sort YANG, Zhenlin
title Modelling firm-size distribution using box-cox heteroscedastic regression
title_short Modelling firm-size distribution using box-cox heteroscedastic regression
title_full Modelling firm-size distribution using box-cox heteroscedastic regression
title_fullStr Modelling firm-size distribution using box-cox heteroscedastic regression
title_full_unstemmed Modelling firm-size distribution using box-cox heteroscedastic regression
title_sort modelling firm-size distribution using box-cox heteroscedastic regression
publisher Institutional Knowledge at Singapore Management University
publishDate 2006
url https://ink.library.smu.edu.sg/soe_research/2109
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