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Panel time-series modeling: New tools for analyzing xt data

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  • Markus Eberhardt

    (University of Oxford)

Abstract

Stata already has an extensive range of built-in and user-written commands for analyzing xt (cross-sectional time-series) data. However, most of these commands do not take into account important features of the data relating to their time-series properties or cross-sectional dependence. This talk reviews the recent literature concerned with these features with reference to the types of data in which they arise. Most of the talk will be spent discussing and illustrating various Stata commands for analyzing these types of data, including several new user-written commands. The talk should be of general interest to users of xt data and of particular interest to researchers with panel datasets in which countries or regions are the unit of analysis and there is also a substantial time-series element. Over the past two decades, a literature dedicated to the analysis of macro panel data has concerned itself with some of the idiosyncrasies of this type of data, including variable nonstationarity and cointegration, as well as with the investigation of possible parameter heterogeneity across panel members and its implications for estimation and inference. Most recently, this literature has turned its attention to concerns over cross-sectional dependence, which can arise either in the form of unobservable global shocks that differ in their impact across countries (for example, the recent financial crisis) or as spillover effects (again, unobservable) between a subset of countries or regions.

Suggested Citation

  • Markus Eberhardt, 2011. "Panel time-series modeling: New tools for analyzing xt data," United Kingdom Stata Users' Group Meetings 2011 22, Stata Users Group.
  • Handle: RePEc:boc:usug11:22
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    File URL: http://repec.org/usug2011/UK11_Eberhardt.pdf
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    References listed on IDEAS

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    1. Suzanne McCoskey & Chihwa Kao, 1998. "A residual-based test of the null of cointegration in panel data," Econometric Reviews, Taylor & Francis Journals, pages 57-84.
    2. Markus Eberhardt & Francis Teal, 2010. "Productivity Analysis in Global Manufacturing Production," DEGIT Conference Papers c015_019, DEGIT, Dynamics, Economic Growth, and International Trade.
    3. Jushan Bai & Serena Ng, 2002. "Determining the Number of Factors in Approximate Factor Models," Econometrica, Econometric Society, vol. 70(1), pages 191-221, January.
    4. Pedroni, Peter, 2004. "Panel Cointegration: Asymptotic And Finite Sample Properties Of Pooled Time Series Tests With An Application To The Ppp Hypothesis," Econometric Theory, Cambridge University Press, vol. 20(03), pages 597-625, June.
    5. Coakley, Jerry & Fuertes, Ana-Maria & Smith, Ron, 2006. "Unobserved heterogeneity in panel time series models," Computational Statistics & Data Analysis, Elsevier, vol. 50(9), pages 2361-2380, May.
    6. Kaddour Hadri, 2000. "Testing for stationarity in heterogeneous panel data," Econometrics Journal, Royal Economic Society, vol. 3(2), pages 148-161.
    7. Jushan Bai & Serena Ng, 2004. "A PANIC Attack on Unit Roots and Cointegration," Econometrica, Econometric Society, vol. 72(4), pages 1127-1177, July.
    8. M. Hashem Pesaran, 2007. "A simple panel unit root test in the presence of cross-section dependence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 265-312.
    9. Pesaran, M. Hashem & Smith, Ron, 1995. "Estimating long-run relationships from dynamic heterogeneous panels," Journal of Econometrics, Elsevier, vol. 68(1), pages 79-113, July.
    10. Pesaran, M. Hashem & Vanessa Smith, L. & Yamagata, Takashi, 2013. "Panel unit root tests in the presence of a multifactor error structure," Journal of Econometrics, Elsevier, vol. 175(2), pages 94-115.
    11. Kao, Chihwa, 1999. "Spurious regression and residual-based tests for cointegration in panel data," Journal of Econometrics, Elsevier, vol. 90(1), pages 1-44, May.
    12. Francesco Moscone & Elisa Tosetti, 2009. "A Review And Comparison Of Tests Of Cross-Section Independence In Panels," Journal of Economic Surveys, Wiley Blackwell, vol. 23(3), pages 528-561, July.
    13. Badi H. Baltagi & Chihwa Kao, 2000. "Nonstationary Panels, Cointegration in Panels and Dynamic Panels: A Survey," Center for Policy Research Working Papers 16, Center for Policy Research, Maxwell School, Syracuse University.
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    Cited by:

    1. Tomas Vlcek & Martin Jirusek & James Henderson, 2015. "Risk Assessment in Construction Process in Nuclear Sector within the Central and Eastern Europe," International Journal of Energy Economics and Policy, Econjournals, vol. 5(2), pages 482-493.
    2. Francesco Aiello & Graziella Bonanno & Alessia Via, 2015. "Again on trade elasticities: evidence from a selected sample of countries," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 5(2), pages 259-287, December.
    3. Bilal Mehmood & Anam Shafique & Rabia Rafaqat, 2014. "Is Solow’s Paradox Absent in World Leading Capital Markets? Econometric Evidence," Romanian Economic Journal, Department of International Business and Economics from the Academy of Economic Studies Bucharest, vol. 17(52), pages 45-62, June.
    4. Adewuyi, Adeolu O., 2016. "Effects of public and private expenditures on environmental pollution: A dynamic heterogeneous panel data analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 489-506.
    5. José Fuinhas & António Marques & Alcino Couto, 2015. "Oil rents and economic growth in oil producing countries: evidence from a macro panel," Economic Change and Restructuring, Springer, vol. 48(3), pages 257-279, November.
    6. José Alberto Fuinhas & António Cardoso Marques & Alcino Pinto Couto, 2015. "Oil-Growth Nexus in Oil Producing Countries: Macro Panel Evidence," International Journal of Energy Economics and Policy, Econjournals, vol. 5(1), pages 148-163.
    7. Hernandez Vega Marco A, 2015. "Estimating Capital Flows to Emerging Market Economies with Heterogeneous Panels," Working Papers 2015-03, Banco de México.

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