Enriching Surveys with Supplementary Data and Its Application to Studying Wage Regression

We consider the problem of supplementing survey data with additional information from a population. The framework we use is very general; examples are missing data problems, measurement error models and combining data from multiple surveys. We do not require the survey data to be a simple random sam...

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Main Authors: LEUNG, Denis H. Y., YAMADA, Ken, ZHANG, Biao
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Language:English
Published: Institutional Knowledge at Singapore Management University 2015
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Online Access:https://ink.library.smu.edu.sg/soe_research/1562
https://ink.library.smu.edu.sg/context/soe_research/article/2561/viewcontent/EnrichingSurveys_SJS_2015.pdf
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spelling sg-smu-ink.soe_research-25612017-09-11T01:00:13Z Enriching Surveys with Supplementary Data and Its Application to Studying Wage Regression LEUNG, Denis H. Y. YAMADA, Ken ZHANG, Biao We consider the problem of supplementing survey data with additional information from a population. The framework we use is very general; examples are missing data problems, measurement error models and combining data from multiple surveys. We do not require the survey data to be a simple random sample of the population of interest. The key assumption we make is that there exists a set of common variables between the survey and the supplementary data. Thus, the supplementary data serve the dual role of providing adjustments to the survey data for model consistencies and also enriching the survey data for improved efficiency. We propose a semi-parametric approach using empirical likelihood to combine data from the two sources. The method possesses favourable large and moderate sample properties. We use the method to investigate wage regression using data from the National Longitudinal Survey of Youth Study. 2015-03-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/soe_research/1562 info:doi/10.1111/sjos.12100 https://ink.library.smu.edu.sg/context/soe_research/article/2561/viewcontent/EnrichingSurveys_SJS_2015.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Economics eng Institutional Knowledge at Singapore Management University empirical likelihood inverse probability weighting selection bias supplementary data surveys Econometrics Economics
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic empirical likelihood
inverse probability weighting
selection bias
supplementary data
surveys
Econometrics
Economics
spellingShingle empirical likelihood
inverse probability weighting
selection bias
supplementary data
surveys
Econometrics
Economics
LEUNG, Denis H. Y.
YAMADA, Ken
ZHANG, Biao
Enriching Surveys with Supplementary Data and Its Application to Studying Wage Regression
description We consider the problem of supplementing survey data with additional information from a population. The framework we use is very general; examples are missing data problems, measurement error models and combining data from multiple surveys. We do not require the survey data to be a simple random sample of the population of interest. The key assumption we make is that there exists a set of common variables between the survey and the supplementary data. Thus, the supplementary data serve the dual role of providing adjustments to the survey data for model consistencies and also enriching the survey data for improved efficiency. We propose a semi-parametric approach using empirical likelihood to combine data from the two sources. The method possesses favourable large and moderate sample properties. We use the method to investigate wage regression using data from the National Longitudinal Survey of Youth Study.
format text
author LEUNG, Denis H. Y.
YAMADA, Ken
ZHANG, Biao
author_facet LEUNG, Denis H. Y.
YAMADA, Ken
ZHANG, Biao
author_sort LEUNG, Denis H. Y.
title Enriching Surveys with Supplementary Data and Its Application to Studying Wage Regression
title_short Enriching Surveys with Supplementary Data and Its Application to Studying Wage Regression
title_full Enriching Surveys with Supplementary Data and Its Application to Studying Wage Regression
title_fullStr Enriching Surveys with Supplementary Data and Its Application to Studying Wage Regression
title_full_unstemmed Enriching Surveys with Supplementary Data and Its Application to Studying Wage Regression
title_sort enriching surveys with supplementary data and its application to studying wage regression
publisher Institutional Knowledge at Singapore Management University
publishDate 2015
url https://ink.library.smu.edu.sg/soe_research/1562
https://ink.library.smu.edu.sg/context/soe_research/article/2561/viewcontent/EnrichingSurveys_SJS_2015.pdf
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