Estimating a hedonic earnings function with a nonparametric method

J. Hartog; H. J. Bierens

doi:10.1007/BF01972452

Estimating a hedonic earnings function with a nonparametric method

J. Hartog^*
, H. J. Bierens

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

2 Citations (Scopus)

Abstract

In this paper we apply the nonparametric approach of Bierens and Hartog (1988) to estimating and testing an earnings function which emphasizes the simultaneous impact of supply characteristics (like education) and demand characteristics (like job level). The data support this emphasis and point to significant non-linearities. In particular, job level comes out as an important variable.

Original language	English
Pages (from-to)	267-294
Number of pages	28
Journal	Empirical Economics
Volume	13
Issue number	3-4
DOIs	https://doi.org/10.1007/BF01972452
Publication status	Published - Sept 1988
Externally published	Yes

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abstract = "In this paper we apply the nonparametric approach of Bierens and Hartog (1988) to estimating and testing an earnings function which emphasizes the simultaneous impact of supply characteristics (like education) and demand characteristics (like job level). The data support this emphasis and point to significant non-linearities. In particular, job level comes out as an important variable.",

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AB - In this paper we apply the nonparametric approach of Bierens and Hartog (1988) to estimating and testing an earnings function which emphasizes the simultaneous impact of supply characteristics (like education) and demand characteristics (like job level). The data support this emphasis and point to significant non-linearities. In particular, job level comes out as an important variable.

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JO - Empirical Economics

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Estimating a hedonic earnings function with a nonparametric method

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