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Regression with an imputed dependent variable
Crossley, Thomas; Levell, Peter; Poupakis, Stavros - 2019
-based imputation procedures lead to inconsistent estimates. We offer an easily-implemented correction and correct asymptotic standard …
Persistent link: https://www.econbiz.de/10012265314
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Regression with an imputed dependent variable
Crossley, Thomas F.; Levell, Peter; Poupakis, Stavros - 2019
-based imputation procedures lead to inconsistent estimates. We offer an easily-implemented correction and correct asymptotic standard …
Persistent link: https://www.econbiz.de/10012388798
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Regression with an imputed dependent variable
Crossley, Thomas F.; Levell, Peter; Poupakis, Stavros - 2020
-based imputation procedures lead to inconsistent estimates. We offer an easily-implemented correction and correct asymptotic standard …
Persistent link: https://www.econbiz.de/10012253297
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Regression with an imputed dependent variable
Crossley, Thomas F.; Levell, Peter; Poupakis, Stavros - 2019
-based imputation procedures lead to inconsistent estimates. We offer an easily-implemented correction and correct asymptotic standard …
Persistent link: https://www.econbiz.de/10012028000
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Regression with an imputed dependent variable
Crossley, Thomas F.; Levell, Peter; Poupakis, Stavros - 2019
-based imputation procedures lead to inconsistent estimates. We offer an easily-implemented correction and correct asymptotic standard …
Persistent link: https://www.econbiz.de/10012030125
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SOEP 2010 - Preparation of data from the New SOEP consumption module: Editing, imputation, and smoothing
Marcus, Jan; Siegers, Rainer; Grabka, Markus M. - 2013
This documentation describes the data preparation of the new consumption module in the German Socio-Economic Panel … included a detailed consumption module in the household questionnaire. This documentation discusses several methodological … monthly and annual consumption information, missing values, and a high incidence of heaping. …
Persistent link: https://www.econbiz.de/10010324158
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Preparation of data from the new SOEP consumption module: Editing, imputation, and smoothing
Marcus, Jan; Siegers, Rainer; Grabka, Markus M. - 2013
This documentation describes the data preparation of the new consumption module in the German Socio-Economic Panel … time included a detailed consumption module in the household questionnaire. This documentation discusses several … between monthly and annual consumption information, missing values, and a high incidence of heaping. …
Persistent link: https://www.econbiz.de/10010324337
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SOEP 2010 : preparation of data from the New SOEP consumption module ; editing, imputation, and smoothing
Marcus, Jan; Siegers, Rainer; Grabka, Markus M. - 2013
This documentation describes the data preparation of the new consumption module in the German Socio-Economic Panel … time included a detailed consumption module in the household questionnaire. This documentation discusses several … between monthly and annual consumption information, missing values, and a high incidence of heaping. …
Persistent link: https://www.econbiz.de/10010194414
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Preparation of data from the new SOEP consumption module : editing, imputation, and smoothing
Marcus, Jan; Siegers, Rainer; Grabka, Markus M. - 2013
This documentation describes the data preparation of the new consumption module in the German Socio-Economic Panel … time included a detailed consumption module in the household questionnaire. This documentation discusses several … between monthly and annual consumption information, missing values, and a high incidence of heaping. …
Persistent link: https://www.econbiz.de/10010188616
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Preparation of Data from the New SOEP Consumption Module: Editing, Imputation, and Smoothing
Marcus, Jan; Siegers, Rainer; Grabka, Markus M. - DIW Berlin (Deutsches Institut für Wirtschaftsforschung) - 2013
This documentation describes the data preparation of the new consumption module in the German Socio-Economic Panel … time included a detailed consumption module in the household questionnaire. This documentation discusses several … between monthly and annual consumption information, missing values, and a high incidence of heaping. …
Persistent link: https://www.econbiz.de/10010818211