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Effectiveness of data correction rules in process-produced data : the case of educational attainment
Kruppe, Thomas; Matthes, Britta; Unger, Stefanie - 2014
reliability and the effectiveness of different correction rules for information about educational degrees as reported in German …
Persistent link: https://www.econbiz.de/10010401768
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Missing data in Imputed Highest Grade Completed in the 2015-2018 NBER CPS extracts
Hersch, Joni; Mendoza Lopez, Fernando; Shinall, … - 2019
In 2015, the Current Population Survey (CPS) eliminated three questions related to educational attainment. These questions are used by the NBER to calculate the variable, "Imputed Highest Grade Completed" (ihigrdc) in their Monthly Outgoing Rotation Group (MORG) extracts. Imputed Highest Grade...
Persistent link: https://www.econbiz.de/10012100811
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The panel of linked administrative data of CERS databank
Sebők, Anna - 2019
The Databank of the Centre for Economic and Regional Studies has established Admin3, the third round of the Panel of Administrative Data. The data source contains administrative data of the National Health Insurance Fund Administration, the Hungarian State Treasury, the National Tax and Customs...
Persistent link: https://www.econbiz.de/10012137718
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Trouble in the tails? : what we know about earnings nonresponse thirty years after Lillard, Smith, and Welch
Bollinger, Christopher R.; Hirsch, Barry T.; Hokayem, … - 2018
Earnings nonresponse in household surveys is widespread, yet there is limited knowledge of how nonresponse biases earnings measures. We examine the consequences of nonresponse on earnings gaps and inequality using Current Population Survey individual records linked to administrative earnings...
Persistent link: https://www.econbiz.de/10011892612
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Addressing soil quality data gaps with imputation : evidence from Ethiopia and Uganda
Dang, Hai-Anh H.; Carletto, Calogero; Gourlay, Sydney; … - 2024
implement high-quality surveys on soil. We offer an alternative, low-cost imputation-based approach to generating various soil … and Uganda both for the mean values and the entire distributions of these indicators based on multiple imputation (MI …) methods. Machine learning methods also perform well but mostly for the mean values. Furthermore, our imputation models can be …
Persistent link: https://www.econbiz.de/10014557745
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Addressing soil quality data gaps with imputation : evidence from Ethiopia and Uganda
Dang, Hai-Anh H.; Carletto, Calogero; Gourlay, Sydney; … - 2024
implement high-quality surveys on soil. We offer an alternative, low-cost imputation-based approach to generating various soil … and Uganda both for the mean values and the entire distributions of these indicators based on multiple imputation (MI …) methods. Machine learning methods also perform well but mostly for the mean values. Furthermore, our imputation models can be …
Persistent link: https://www.econbiz.de/10014550384
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Using linked survey and administrative data to better measure income : implications for poverty, program effectiveness and holes in the safety net
Meyer, Bruce D.; Mittag, Nikolas - 2015
We examine the consequences of underreporting of transfer programs in household survey data for several prototypical analyses of low-income populations. We focus on the Current Population Survey (CPS), the source of official poverty and inequality statistics, but provide evidence that our...
Persistent link: https://www.econbiz.de/10011399523
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Income source confusion using the SILC
Bollinger, Christopher R.; Tasseva, Iva V. - 2022
We use a unique panel of household survey data - the Austrian version of the European Union Statistics on Income and Living Conditions (SILC) for 2008-2011 - which have been linked to individual administrative records on both state unemployment benefits and earnings. We assess the extent and...
Persistent link: https://www.econbiz.de/10012887254
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Measurement error in education and growth regressions
Portela, Miguel; Alessie, Rob; Teulings, Coen N. - 2005
The perpetual inventory method used for the construction of education data per country leads to systematic measurement error. This paper analyses the effect of this measurement error on GDP regressions. There is a systematic difference in the education level between census data and observations...
Persistent link: https://www.econbiz.de/10011335189
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Are you what you consume? : impact of food, soft drinks, and coffee on cognitive and non-cognitive test scores
Sohnesen, Thomas Pave - 2019
Cognitive and non-cognitive tests are key factors in many aspects of economics, especially within labour market analysis. Non-cognitive tests and personality traits are increasingly used, as these are found to be as critical as cognitive abilities for labour market outcomes, while they might be...
Persistent link: https://www.econbiz.de/10012161346