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PISAREG: Stata module to perform linear regression with PISA data and plausible values

Author

Listed:
  • Maciej Jakubowski

    (Faculty of Economic Sciences, Warsaw University)

Programming Language

Stata

Abstract

Pisareg runs linear regression with PISA data. First variable listed after pisareg command is the dependent variable. You can use math, scie or read as dependent variables in which case the regression will be run 5 times on plausible values in mathematics, science or reading, respectively. The final result will be calculated as a mean of these five regressions. You can also specify other variables as dependent variables. In this case the command will perform a standard linear regression with one dependent variable. Standard errors are obtained by the BRR method unless fast option is specified. With fast option clustered sandwich estimator is used. The command uses survey information provided in the original publicly available PISA datasets. You need to keep variables like cnt, schoolid, w_fstuwt and w_fstr* to be able to use this command.

Suggested Citation

  • Maciej Jakubowski, 2013. "PISAREG: Stata module to perform linear regression with PISA data and plausible values," Statistical Software Components S457622, Boston College Department of Economics, revised 21 Dec 2013.
    • Handle: RePEc:boc:bocode:s457622
    Note: This module may be installed from within Stata by typing "ssc install pisareg". The module is made available under terms of the GPL v3 (https://www.gnu.org/licenses/gpl-3.0.txt). Windows users should not attempt to download these files with a web browser.
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    Download full text from publisher

    File URL: http://fmwww.bc.edu/repec/bocode/p/pisareg.ado
    File Function: program code
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/p/pisareg.sthlp
    File Function: help file
    Download Restriction: no
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    Citations

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    Cited by:

    1. Patrizia Luongo, 2015. "Inequality of Opportunity in Educational Achievements: Cross-country and Intertemporal Comparisons," WIDER Working Paper Series wp-2015-043, World Institute for Development Economic Research (UNU-WIDER).
    2. Patrizia Luongo, 2015. "Inequality of opportunity in educational achievements: Cross-country and intertemporal comparisons," WIDER Working Paper Series 043, World Institute for Development Economic Research (UNU-WIDER).

    More about this item

    Keywords

    OECD; PISA data; Stata;
    All these keywords.

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