Language Fluency and Earnings: Estimation with Misclassified Language Indicators

C. Dustmann, A.H.O. van Soest

Research output: Working paperDiscussion paperOther research output

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Abstract

We use panel data from the German Socio Economic Panel to estimate the determinants of language fluency of immigrants, and its impact on earnings. Self reported measures of language proficiency contain substantial reporting errors. We specify a panel data model which takes explicitly account of misclassification. We extend the existing literature on misclassification of categorical dependent variables by distinguishing between time persistent and time varying misclassification errors, using panel data. The repeated information on language fluency allows us also to distinguish between cohort effects and exposure effects. We then add a wage equation to the model and estimate it jointly with the speaking fluency equation. In this way, we take account of the two problems that may bias OLS estimates: misclassification errors and correlated unobserved individual heterogeneity in wages and speaking fluency. We nd that both have important consequences for the estimated effect of speaking fluency on earnings.
Original languageEnglish
Place of PublicationTilburg
PublisherEconometrics
Number of pages33
Volume1998-120
Publication statusPublished - 1998

Publication series

NameCentER Discussion Paper
Volume1998-120

Fingerprint

Language
Misclassification
Misclassification error
Panel data
Socio-economics
Immigrants
Wage equation
Wages
Time-varying
Cohort effect

Keywords

  • panel data
  • wages
  • foreign workers

Cite this

Dustmann, C., & van Soest, A. H. O. (1998). Language Fluency and Earnings: Estimation with Misclassified Language Indicators. (CentER Discussion Paper; Vol. 1998-120). Tilburg: Econometrics.
Dustmann, C. ; van Soest, A.H.O. / Language Fluency and Earnings : Estimation with Misclassified Language Indicators. Tilburg : Econometrics, 1998. (CentER Discussion Paper).
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Dustmann, C & van Soest, AHO 1998 'Language Fluency and Earnings: Estimation with Misclassified Language Indicators' CentER Discussion Paper, vol. 1998-120, Econometrics, Tilburg.

Language Fluency and Earnings : Estimation with Misclassified Language Indicators. / Dustmann, C.; van Soest, A.H.O.

Tilburg : Econometrics, 1998. (CentER Discussion Paper; Vol. 1998-120).

Research output: Working paperDiscussion paperOther research output

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AU - van Soest, A.H.O.

N1 - Pagination: 33

PY - 1998

Y1 - 1998

N2 - We use panel data from the German Socio Economic Panel to estimate the determinants of language fluency of immigrants, and its impact on earnings. Self reported measures of language proficiency contain substantial reporting errors. We specify a panel data model which takes explicitly account of misclassification. We extend the existing literature on misclassification of categorical dependent variables by distinguishing between time persistent and time varying misclassification errors, using panel data. The repeated information on language fluency allows us also to distinguish between cohort effects and exposure effects. We then add a wage equation to the model and estimate it jointly with the speaking fluency equation. In this way, we take account of the two problems that may bias OLS estimates: misclassification errors and correlated unobserved individual heterogeneity in wages and speaking fluency. We nd that both have important consequences for the estimated effect of speaking fluency on earnings.

AB - We use panel data from the German Socio Economic Panel to estimate the determinants of language fluency of immigrants, and its impact on earnings. Self reported measures of language proficiency contain substantial reporting errors. We specify a panel data model which takes explicitly account of misclassification. We extend the existing literature on misclassification of categorical dependent variables by distinguishing between time persistent and time varying misclassification errors, using panel data. The repeated information on language fluency allows us also to distinguish between cohort effects and exposure effects. We then add a wage equation to the model and estimate it jointly with the speaking fluency equation. In this way, we take account of the two problems that may bias OLS estimates: misclassification errors and correlated unobserved individual heterogeneity in wages and speaking fluency. We nd that both have important consequences for the estimated effect of speaking fluency on earnings.

KW - panel data

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KW - foreign workers

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Dustmann C, van Soest AHO. Language Fluency and Earnings: Estimation with Misclassified Language Indicators. Tilburg: Econometrics. 1998. (CentER Discussion Paper).