Impact of the Density Support on the Matching Bias: A Matched-Pair Analysis Based on Business Survey Data
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Author
Date
2005-01Type
- Working Paper
ETH Bibliography
yes
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Abstract
Matching methods have been extensively used to evaluate economic policy. However, they are not without fault and, indeed, a selection bias may appear. In 1998, Heckman and al. (1998) have precisely characterize this bias by a decomposition in three parts which can be non parametrically estimated. These estimations depend among others on the support of the conditional density function of the covariates X used for the matching. In a study of the impact of the policy of supporting the adoption of advanced manufacturing technologies by Swiss firms, we have measured the different components of the bias. We put into evidence the extreme sensibility of the results to the measure of support density. Show more
Permanent link
https://doi.org/10.3929/ethz-a-004957353Publication status
publishedJournal / series
KOF Working PapersVolume
Publisher
KOF Swiss Economic Institute, ETH ZurichSubject
STATISTICAL MATCHING (MATHEMATICAL STATISTICS); DATENFUSION (MATHEMATISCHE STATISTIK)Organisational unit
02525 - KOF Konjunkturforschungsstelle / KOF Swiss Economic Institute
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ETH Bibliography
yes
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