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Academic Achievement and Economic Attainment: Re-examining Associations Between Test Scores and Long-Run Earnings
Principal Investigator(s): View help for Principal Investigator(s) Tyler Watts, Teachers College, Columbia University
Version: View help for Version V1
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application/zip | 47.2 KB | 04/29/2020 08:23:AM |
Project Citation:
Watts, Tyler. Academic Achievement and Economic Attainment: Re-examining Associations Between Test Scores and Long-Run Earnings. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2020-04-29. https://doi.org/10.3886/E119183V1
Project Description
Summary:
View help for Summary
Replication materials for:
Watts, T. W. (2020). Academic Achievement and Economic Attainment: Re-examining Associations Between Test Scores and Long-Run Earnings. AERA Open.
This project uses NCDS data to examine the association between adolescent achievement tests and adult earnings. Data are publicly available from the UK Data Service website (https://beta.ukdataservice.ac.uk/datacatalogue/series/series?id=2000032). Analysts are asked to create a username and password before accepting a license agreement for using the data.
A zip file has been posted here which contains a README document and a set of Stata do-files (i.e., analytic syntax files). The README provides details on the datasets that should be downloaded from the UK Data Service website to replicate the presented results, and also explains the ordering of the Stata do-files. The Stata do-files contain all of the code necessary to replicate the tables shown in the main text and supplementary material.
Watts, T. W. (2020). Academic Achievement and Economic Attainment: Re-examining Associations Between Test Scores and Long-Run Earnings. AERA Open.
This project uses NCDS data to examine the association between adolescent achievement tests and adult earnings. Data are publicly available from the UK Data Service website (https://beta.ukdataservice.ac.uk/datacatalogue/series/series?id=2000032). Analysts are asked to create a username and password before accepting a license agreement for using the data.
A zip file has been posted here which contains a README document and a set of Stata do-files (i.e., analytic syntax files). The README provides details on the datasets that should be downloaded from the UK Data Service website to replicate the presented results, and also explains the ordering of the Stata do-files. The Stata do-files contain all of the code necessary to replicate the tables shown in the main text and supplementary material.
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