Beyond Cobb-Douglas: Flexibly Estimating Matching Functions with Unobserved Matching Efficiency

38 Pages Posted: 13 Apr 2020 Last revised: 14 Mar 2026

Multiple version iconThere are 2 versions of this paper

Date Written: April 2020

Abstract

Exploiting results from the literature on non-parametric identification, we make three methodological contributions to the empirical literature estimating the matching function, commonly used to map unemployment and vacancies into hires. First, we show how to non-parametrically identify the matching function. Second, we estimate the matching function allowing for unobserved matching efficacy, without imposing the usual independence assumption between matching efficiency and search on either side of the labor market. Third, we allow for multiple types of jobseekers and consider an “augmented” Beveridge curve that includes them. Our estimated elasticity of hires with respect to vacancies is procyclical and varies between 0.15 and 0.3. This is substantially lower than common estimates suggesting that a significant bias stems from the commonly-used independence assumption. Moreover, variation in match efficiency accounts for much of the decline in hires during the Great Recession.

Suggested Citation

Lange, Fabian and Papageorgiou, Theodore, Beyond Cobb-Douglas: Flexibly Estimating Matching Functions with Unobserved Matching Efficiency (April 2020). NBER Working Paper No. w26972, Available at SSRN: https://ssrn.com/abstract=3574436

Fabian Lange (Contact Author)

McGill University ( email )

1001 Sherbrooke St. W
Montreal, Quebec H3A 1G5
Canada

Theodore Papageorgiou

Boston College ( email )

140 Commonwealth Avenue
Chestnut Hill, MA 02467
United States

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