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Estimating panel time-series models with heterogeneous slopes

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Author Info

  • Markus Eberhardt

    ()
    (University of Nottingham)

Abstract

This article introduces a new Stata command, xtmg, that implements three panel time-series estimators, allowing for heterogeneous slope coefficients across group members: the Pesaran and Smith (1995, Journal of Econometrics 68: 79 – 113) mean group estimator, the Pesaran (2006, Econometrica 74: 967 – 1012) common correlated effects mean group estimator, and the augmented mean group estimator introduced by Eberhardt and Teal (2010, Discussion Paper 515, Department of Economics, University of Oxford). The latter two estimators further allow for unobserved correlation across panel members (cross-section dependence). Copyright 2012 by StataCorp LP.

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Bibliographic Info

Article provided by StataCorp LP in its journal Stata Journal.

Volume (Year): 12 (2012)
Issue (Month): 1 (March)
Pages: 61-71

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Handle: RePEc:tsj:stataj:v:12:y:2012:i:1:p:61-71

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Related research

Keywords: xtmg; nonstationary panels; parameter heterogeneity; cross- sectional dependence;

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Cited by:
  1. Nahla Samargandi & Jan Fidrmuc & Sugata Ghosh, 2014. "Is the Relationship between Financial Development and Economic Growth Monotonic? Evidence from a Sample of Middle Income Countries," CESifo Working Paper Series 4743, CESifo Group Munich.
  2. Benos, Nikos & Karagiannis, Stelios, 2013. "Do Cross-Section Dependence and Parameter Heterogeneity Matter? Evidence on Human Capital and Productivity in Greece," MPRA Paper 53326, University Library of Munich, Germany.
  3. Lanzafame, Matteo & Nogueira, Reginaldo, 2013. "Inflation targeting and interest rates," MPRA Paper 46153, University Library of Munich, Germany.
  4. Matteo Lanzafame, 2014. "Temperature, rainfall and economic growth in Africa," Empirical Economics, Springer, vol. 46(1), pages 1-18, February.
  5. Donatella Baiardi & Carluccio Bianchi & Eleonora Lorenzini, 2014. "The price and income elasticities of the top clothing exporters: Evidence from a panel data analysis," DEM Working Papers Series 074, University of Pavia, Department of Economics and Management.
  6. Bruno Albuquerque & Ursel Baumann & Georgi Krustev, 2014. "Has US Household Deleveraging Ended? A Model-Based Estimate of Equilibrium Debt," Working Papers w201404, Banco de Portugal, Economics and Research Department.
  7. Donatella Baiardi & Carluccio Bianchi & Eleonora Lorenzini, 2013. "Food Competition in World Markets: Some Evidence from a Panel Data Analysis of Top Exporting Countries," Working Papers 262, University of Milano-Bicocca, Department of Economics, revised Dec 2013.
  8. Malgorzata Sulimierska, 2014. "Effectiveness of capital control, economic growth and animal spirit: A cross-country analysis," Working Paper Series 7014, Department of Economics, University of Sussex.
  9. Rexhaeuser, Sascha & Schulte, Patrick & Welsch, Heinz, 2013. "ICT and the demand for energy: Evidence from OECD countries," ZEW Discussion Papers 13-116, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
  10. Lanzafame, Matteo, 2013. "Crime and regional growth in Italy," MPRA Paper 44343, University Library of Munich, Germany.
  11. Donatella Baiardi & Carluccio Bianchi & Eleonora Lorenzini, 2013. "The Clothing Export Performance and Prospects for Advanced and Emerging Economies: Evidence from a Panel Data Analysis," DEM Working Papers Series 038, University of Pavia, Department of Economics and Management.
  12. Donatella Baiardi & Carluccio Bianchi & Eleonora Lorenzini, 2013. "The Clothing Export Performance and Prospects for Advanced and Emerging Economies: Evidence from a Panel Data Analysis (new version)," DEM Working Papers Series 040, University of Pavia, Department of Economics and Management.

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