Accounting for endogeneity in matching function estimation
By Daniel Borowczyk-Martins, Grégory Jolivet, F. Postel-Vinay. 2013
111 citations recorded by the source corpus.
Subfields: Economics and Econometrics
View Paper: https://www.semanticscholar.org/paper/c5ef6367b2b4f3fe26ef0dde8899a57b97f1e9b9
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In Economics and Econometrics
- Andrew Figura
- Stéphane Carcillo
- Pierre Cahuc
- Regis Barnichon
- T. L. Barbanchon
- Ioana Marinescu
- Yann Algan
- Martin Halla
Citations in the corpus
- Labor Market Heterogeneity and the Aggregate Matching Function (2015, methodology): “To estimate (10) without data on local market tightness θit, we note that, given (4), the average job finding rate in segment i is fit ≡ mit Uit = μis σ itθ 1−σ it , (11)”
- Job search during the COVID-19 crisis (2020, unknown): “Using standard estimates of matching function (Petrongolo and Pissarides, 2001; Borowczyk-Martins et al., 2013; Cahuc et al., 2019) in a simple quantification exercise, we show that the reduction in job search activity is potentially an important amplification mechanism of the COVID-19 crisis on lab”
- The Effectiveness of Hiring Credits (2019, methodology): “the elasticity of the matching function with respect to the number of job-seekers, as in Borowczyk-Martins et al. (2013). Introducing directed search with wage posting into the model, in line with Moen (1997) we show, in the spirit of the su¢ cient statistic approach (Chetty, 2009), that the three s”