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To Pool Or Not To Pool: Homogeneous Versus Hetergeneous Estimations Applied to Cigarette Demand

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Author Info
Badi H. Baltagi
James M. Griffin
Weiwen Xiong

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Abstract

This paper reexamines the benefits of pooling and, in addition, contrasts the performance of newly proposed heterogeneous estimators. The analysis utilizes a panel data set from 46 American states over the period 1963 to 1992 and a dynamic demand specification for cigarettes. Also, the forecast performance of the various estimators is compared. © 2000 by the President and Fellows of Harvard College and the Massachusetts Institute of Technology

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Publisher Info
Article provided by MIT Press in its journal The Review of Economics and Statistics.

Volume (Year): 82 (2000)
Issue (Month): 1 (February)
Pages: 117-126
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Handle: RePEc:tpr:restat:v:82:y:2000:i:1:p:117-126

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  1. Badi H. Baltagi & Georges Bresson & James M. Griffin & Alain Pirotte, 2002. "Homogeneous, heterogeneous or shrinkage estimators? Some empirical evidence from French regional gasoline consumption," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 A6-4, International Conferences on Panel Data. [Downloadable!]
    Other versions:
  2. Chris Doucouliagos, 2005. "Price exhaustion and number preference: time and price confluence in Australian stock prices," European Journal of Finance, Taylor and Francis Journals, vol. 11(3), pages 207-221, June. [Downloadable!] (restricted)
    Other versions:
  3. Dhaval Dave, 2004. "Illicit Drug Use Among Arrestees and Drug Prices," NBER Working Papers 10648, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
  4. Ciaran Driver & Katsushi Imai & Paul Temple & Giovanni Urga, 2002. "The Effect of Uncertainty on UK Investment Authorisation: Pooled Estimators vs. Heterogeneous Estimators1," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 B3-4, International Conferences on Panel Data. [Downloadable!]
  5. Herbert Brücker & Boriss Siliverstovs, 2005. "On the Estimation and Forecasting of International Migration: How Relevant Is Heterogeneity Across Countries?," IZA Discussion Papers 1710, Institute for the Study of Labor (IZA). [Downloadable!]
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  6. Martin A. Carree, 2002. "Nearly Unbiased Estimation in Dynamic Panel Data Models with Exogenous Variables," Tinbergen Institute Discussion Papers 02-007/2, Tinbergen Institute. [Downloadable!]
  7. G. Bresson & J.L. Madre & A. Pirotte, 2004. "Is urban sprawl stimulated by economic growth ? A hierarchical Bayes estimation on the largest metropolitan areas in France," Working Papers ERMES 0404, ERMES, University Paris 2. [Downloadable!]
  8. Konstantin A. Kholodilin & Boriss Siliverstovs & Stefan Kooths, 2007. "A Dynamic Panel Data Approach to the Forecasting of the GDP of German Länder," Discussion Papers of DIW Berlin 664, DIW Berlin, German Institute for Economic Research. [Downloadable!]
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  9. Bwo-Nung Huang & Chin-wei Yang & Ming-jeng Hwang, 2004. "New Evidence on Demand for Cigarettes: A Panel Data Approach," The International Journal of Applied Economics, Department of General Business, Southeastern Louisiana University, vol. 1(1), pages 81-97, September. [Downloadable!]
  10. G. Bresson & K. Logossah, 2003. "Hétérogénéité de l'offre et de la demande touristiques des communes de la Martinique : une estimation non paramétrique sur données de panel," Working Papers ERMES 0310, ERMES, University Paris 2. [Downloadable!]
  11. Badi H. Baltagi, 2007. "Forecasting with Panel Data," Center for Policy Research Working Papers 91, Center for Policy Research, Maxwell School, Syracuse University. [Downloadable!]
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