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Another Look at what to do with Time-series Cross-section Data

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Our study revisits Beck and Katz' (1995) comparison of the Parks and PCSE estimators using time-series, cross-sectional data (TSCS). Our innovation is that we construct simulated statistical environments that are designed to approximate actual TSCS data. We pattern our statistical environments after income and tax data on U.S. states from 1960-1999. While PCSE generally does a better job than Parks in estimating standard errors/confidence intervals, it too can be unreliable, sometimes producing standard errors/confidence intervals that are substantially off the mark. Further, we find that the benefits of PCSE can come at a large cost in estimator efficiency.

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  • Xiujian Chen & Shu Lin & W. Robert Reed, 2006. "Another Look at what to do with Time-series Cross-section Data," Working Papers in Economics 06/04, University of Canterbury, Department of Economics and Finance.
    • Handle: RePEc:cbt:econwp:06/04
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    1. Woojin Lee & John E. Roemer, 2005. "The Rise and Fall of Unionised Labour Markets: A Political Economy Approach," Economic Journal, Royal Economic Society, vol. 115(500), pages 28-67, January.
    2. Kristian Jönsson, 2005. "Cross‐sectional Dependency and Size Distortion in a Small‐sample Homogeneous Panel Data Unit Root Test," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 67(3), pages 369-392, June.
    3. Luca Nunziata, 2005. "Institutions and Wage Determination: a Multi‐country Approach," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 67(4), pages 435-466, August.
    4. Reed, W. Robert, 2006. "Democrats, republicans, and taxes: Evidence that political parties matter," Journal of Public Economics, Elsevier, vol. 90(4-5), pages 725-750, May.
    5. Alt, James E. & Lowry, Robert C., 1994. "Divided Government, Fiscal Institutions, and Budget Deficits: Evidence from the States," American Political Science Review, Cambridge University Press, vol. 88(4), pages 811-828, December.
    6. Helms, L Jay, 1985. "The Effect of State and Local Taxes on Economic Growth: A Time Series-Cross Section Approach," The Review of Economics and Statistics, MIT Press, vol. 67(4), pages 574-582, November.
    7. Soo, Kwok Tong, 2005. "Zipf's Law for cities: a cross-country investigation," Regional Science and Urban Economics, Elsevier, vol. 35(3), pages 239-263, May.
    8. Fording, Richard C., 2001. "The Political Response to Black Insurgency: A Critical Test of Competing Theories of the State," American Political Science Review, Cambridge University Press, vol. 95(1), pages 115-130, March.
    9. Kristian Jonsson, 2005. "Cross-sectional and serial correlation in a small-sample homogeneous panel data unit root test," Applied Economics Letters, Taylor & Francis Journals, vol. 12(14), pages 899-905.
    10. Brace, Paul & Cohen, Youssef & Gray, Virginia & Lowery, David, 1989. "How Much Do Interest Groups Influence State Economic Growth?," American Political Science Review, Cambridge University Press, vol. 83(4), pages 1297-1308, December.
    11. Beck, Nathaniel & Katz, Jonathan N., 1995. "What To Do (and Not to Do) with Time-Series Cross-Section Data," American Political Science Review, Cambridge University Press, vol. 89(3), pages 634-647, September.
    12. Joseph P. Dejuan & Maria Jose Luengo‐Prado, 2006. "Consumption and Aggregate Constraints: International Evidence," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 68(1), pages 81-99, February.
    13. Brulhart, Marius & Trionfetti, Federico, 2004. "Public expenditure, international specialisation and agglomeration," European Economic Review, Elsevier, vol. 48(4), pages 851-881, August.
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    1. Piotr Ciżkowicz & Andrzej Rzońca & Wiktor Wojciechowski, 2012. "Determinanty regionalnych różnic w dynamice liczby pracujących w Polsce w latach 1999-2008," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 11-12, pages 59-77.
    2. Fernando Martín-Mayoral & Juan Fernández Sastre, 2017. "Determinants of social spending in Latin America during and after the Washington consensus: a dynamic panel error-correction model analysis," Latin American Economic Review, Springer;Centro de Investigaciòn y Docencia Económica (CIDE), vol. 26(1), pages 1-32, December.
    3. Aleksander Aristovnik & Stanka Setnikar-Cankar, 2006. "How Excessive are External Imbalances in Selected Transition Countries?," Prague Economic Papers, Prague University of Economics and Business, vol. 2006(3), pages 243-267.
    4. V. Saravanakumar, "undated". "Impact of Climate Change on Yield of Major Food Crops in Tamil Nadu, India," Working papers 91, The South Asian Network for Development and Environmental Economics.
    5. Eric C. Y. Ng & Malick Souare, 2014. "On investment and exchange-rate movements," Applied Economics, Taylor & Francis Journals, vol. 46(19), pages 2301-2315, July.
    6. Özdemir Onur, 2019. "Financialization and the Labor Share of Income," Review of Economic Perspectives, Sciendo, vol. 19(4), pages 265-306, December.
    7. Kadri Männasoo, 2012. "Determinants of bank interest spread in Estonia," Bank of Estonia Working Papers wp2012-1, Bank of Estonia, revised 22 Feb 2012.
    8. Kunsoo Han & Robert J. Kauffman & Barrie R. Nault, 2011. "Research Note ---Returns to Information Technology Outsourcing," Information Systems Research, INFORMS, vol. 22(4), pages 824-840, December.
    9. Roberto Fernández Llera & María A. García Valiñas, 2010. "Efficiency and elusion: both sides of public enterprises in Spain," Working Papers 2010/5, Institut d'Economia de Barcelona (IEB).
    10. Saravanakumar, V. & Balasubramanian, 2018. "Assessment of climate change impacts and adaptation strategies on Sorghum production in Tamil Nadu, India," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 276012, International Association of Agricultural Economists.
    11. Mellati, Ali, 2008. "Uncertainty and investment in private sector: An analytical argument and a review of the economy of Iran," MPRA Paper 26655, University Library of Munich, Germany.
    12. Aleksander Aristovnik, 2005. "Current Account Reversals In Selected Transition Countries," International Finance 0510021, University Library of Munich, Germany.
    13. Pitelis, Christos & Vasilaros, Vassilis, 2009. "The Determinants of Value Creation at the Firm, Industry and National Levels: A Framework and Evidence," Papers DYNREG37, Economic and Social Research Institute (ESRI).
    14. Étienne Bordeleau & Allan Crawford & Christopher Graham, 2009. "Regulatory Constraints on Bank Leverage: Issues and Lessons from the Canadian Experience," Discussion Papers 09-15, Bank of Canada.
    15. V. Saravanakumar, 2015. "Impact of Climate Change on Yield of Major Food Crops in Tamil Nadu, India," Working Papers id:7555, eSocialSciences.
    16. Aleksander Aristovnik, 2006. "Current Account Reversals and Persistency in Transition Regions," Zagreb International Review of Economics and Business, Faculty of Economics and Business, University of Zagreb, vol. 9(1), pages 1-43, May.

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    More about this item

    Keywords

    Panel data; Parks model; PCSE estimator; Monte Carlo methods;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General

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