EconPapers    
Economics at your fingertips  
 

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

Maciej Jakubowski

Statistical Software Components from Boston College Department of Economics

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.

Language: Stata
Requires: Stata version 10.0
Keywords: OECD; PISA data (search for similar items in EconPapers)
Date: 2013-03-21, Revised 2013-12-21
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.
References: Add references at CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://fmwww.bc.edu/repec/bocode/p/pisareg.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/p/pisareg.sthlp help file (text/plain)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:boc:bocode:s457622

Ordering information: This software item can be ordered from
http://repec.org/docs/ssc.php

Access Statistics for this software item

More software in Statistical Software Components from Boston College Department of Economics Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA. Contact information at EDIRC.
Bibliographic data for series maintained by Christopher F Baum ().

 
Page updated 2025-03-30
Handle: RePEc:boc:bocode:s457622