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Facilitating Applied Economic Research with Stata

Author

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  • Christopher F Baum

    () (Boston College
    DIW Berlin)

Abstract

We describe the Stata software environment, and illustrate how it may be profitably employed for applied economic research. Stata stands between "point and click" statistical packages and matrix languages in terms of extensibility and ease of use, and provides web-accessible features that enhance collaborative research and instruction.

Suggested Citation

  • Christopher F Baum, 2002. "Facilitating Applied Economic Research with Stata," Boston College Working Papers in Economics 531, Boston College Department of Economics.
  • Handle: RePEc:boc:bocoec:531
    as

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    File URL: http://fmwww.bc.edu/EC-P/wp531.pdf
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    References listed on IDEAS

    as
    1. Hylleberg, S. & Engle, R. F. & Granger, C. W. J. & Yoo, B. S., 1990. "Seasonal integration and cointegration," Journal of Econometrics, Elsevier, vol. 44(1-2), pages 215-238.
    2. Kwiatkowski, Denis & Phillips, Peter C. B. & Schmidt, Peter & Shin, Yongcheol, 1992. "Testing the null hypothesis of stationarity against the alternative of a unit root : How sure are we that economic time series have a unit root?," Journal of Econometrics, Elsevier, vol. 54(1-3), pages 159-178.
    3. William W. Gould & Jeffrey Pitblado & Brian Poi, 2010. "Maximum Likelihood Estimation with Stata," Stata Press books, StataCorp LP, edition 4, number ml4, December.
    4. Christopher F. Baum, 2001. "Tests for stationarity of a time series," Stata Technical Bulletin, StataCorp LP, vol. 10(57).
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    Cited by:

    1. Glen Biglaiser & Karl DeRouen, 2011. "How soon is now? The effects of the IMF on economic reforms in Latin America," The Review of International Organizations, Springer, vol. 6(2), pages 189-213, July.

    More about this item

    Keywords

    Stata; statistics; software; econometrics;

    JEL classification:

    • C87 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Econometric Software
    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General

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