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Using Stata for Applied Research: Reviewing its Capabilities

Author

Listed:
  • Christopher F Baum

    (Boston College
    DIW Berlin)

  • Mark E. Schaffer

    (Heriot-Watt University
    CEPR
    IZA)

  • Steven Stillman

    (Motu Economic and Public Policy Research
    University of Waikato
    IZA)

Abstract

We review the Stata statistical package and evaluate its suitability for applied research.

Suggested Citation

  • Christopher F Baum & Mark E. Schaffer & Steven Stillman, 2010. "Using Stata for Applied Research: Reviewing its Capabilities," Boston College Working Papers in Economics 764, Boston College Department of Economics.
    • Handle: RePEc:boc:bocoec:764
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    Cited by:

    1. Hasan, Iftekhar & Jackowicz, Krzysztof & Kowalewski, Oskar & Kozłowski, Łukasz, 2023. "Cultural values of parent bank board members and lending by foreign subsidiaries: The moderating role of personal traits," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 83(C).
    2. Mourouzidou-Damtsa, Stella & Milidonis, Andreas & Stathopoulos, Konstantinos, 2019. "National culture and bank risk-taking," Journal of Financial Stability, Elsevier, vol. 40(C), pages 132-143.
    3. Giovanni Abramo & Les Oxley, 2021. "Scientometric‐based analysis in business and economics: Introduction, examples, and guidelines," Journal of Economic Surveys, Wiley Blackwell, vol. 35(5), pages 1261-1270, December.
    4. Tao Sun, 2021. "Societal trust, risk avoidance and corporate risk taking: evidence from the global insurance industry," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 46(4), pages 513-546, October.

    More about this item

    Keywords

    Stata; empirical research; applied econometrics;
    All these keywords.

    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • C87 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Econometric Software
    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software

    Statistics

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