SUR Estimation of Error Components Models With AR(1) Disturbances and Unobserved Endogenous Effects
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- Peter Egger, 2001. "SUR Estimation of Error Components Models With AR(1) Disturbances and Unobserved Endogenous Effects," WIFO Working Papers 171, WIFO.
References listed on IDEAS
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- Madsen, Jakob B. & Robertson, Peter E. & Ye, Longfeng, 2019.
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- Jacob B. Madsen & Peter E. Robertson & Longfeng Ye, 2019. "Malthus Was Right: Explaining a Millennium of Stagnation," Economics Discussion / Working Papers 19-16, The University of Western Australia, Department of Economics.
- Timo Mitze & Björn Alecke & Gerhard Untiedt, 2009. "Trade-FDI Linkages in a System of Gravity Equations for German Regional Data," Ruhr Economic Papers 0084, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.
- Mitze, Timo & Alecke, Björn & Untiedt, Gerhard, 2009. "Trade-FDI Linkages in a System of Gravity Equations for German Regional Data," Ruhr Economic Papers 84, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
- Mitze, Timo & Alecke, Björn & Untiedt, Gerhard, 2008. "Trade, FDI and Cross-Variable Linkages: A German (Macro-)Regional Perspective," MPRA Paper 12245, University Library of Munich, Germany.
- Errol, Zeresh & Madsen, Jakob B. & Moslehi, Solmaz, 2021. "Social disorganization theory and crime in the advanced countries: Two centuries of evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 191(C), pages 519-537.
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More about this item
Keywords
Panel Econometrics; Serial Correlation; Seemingly unrelated regressions; Endogenous effects;All these keywords.
JEL classification:
- C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
NEP fields
This paper has been announced in the following NEP Reports:- NEP-ECM-2002-07-10 (Econometrics)
- NEP-ETS-2002-07-04 (Econometric Time Series)
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