Modeling Firm-Size Distribution Using Box-Cox Heteroscedastic Regression
Zhenlin Yang and
Y. K. Tse ()
No 10-2004, Working Papers from Singapore Management University, School of Economics
Abstract:
Using the Box-Cox regression model with heteroscedasticity, we examine the size distribution of firms. Analyzing the data set of Portuguese manufacturing firms as in Machado and Mata (2000), we show that our approach compares favorably against the Box-Cox quantile regression method. In particular, we are able to answer the key questions addressed by Machado and Mata, with the additional advantage that our empirical quantile functions are monotonic. Furthermore, confidence intervals of the regression quantiles are easy to compute, and the estimation of the Box-Cox heteroscedastic regression model is straightforward.
Keywords: Box-Cox transformation; Firm-size distribution; Quantile regression. (search for similar items in EconPapers)
JEL-codes: C1 C5 L11 (search for similar items in EconPapers)
Pages: 26 pages
Date: 2004-03
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Published in SMU Economics and Statistics Working Paper Series
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Journal Article: Modelling firm-size distribution using Box-Cox heteroscedastic regression (2006) 
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