1,111,858 research outputs found

    Matching of the Shape Function

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    The shape function f(k_+) describes Fermi motion effects in inclusive semi-leptonic decays such as B -> X_u+e+nu near the end-point of the lepton spectrum. We compute the leading one-loop corrections to the shape function f(k_+) in the effective theory with a hard cut-off regularization. The matching constant onto full QCD is infrared safe, i.e. the leading infrared singularity represented by the term log^2(k_+) cancels in the difference of integrals. We compare the hard cut-off result with the result in dimensional regularization, the latter containing an additional factor of two in the coefficient of the log^2(k_+) term, and consequently requiring an oversubtraction.Comment: 11 pages, 1 figure added, minor changes in the tex

    Aggregate Matching Function. The Case of Poland

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    The main goal of this paper is to analyze the matching function in the Polish labour market in 1994-2008. Matching function is the relationship between outflows from unemployment to employment and the number of unemployed persons and vacancies as well as other variables which affect the efficiency of the matching process directly or indirectly. Such matching function in its augmented form is estimated here for Poland with the use of data from register of unemployed persons. The results indicate that there is a statistically stronger impact of the unemployed than vacancies on new hires. Furthermore, the institutional conditions of the labour market, the structure of the unemployed and the participants of active labour market programs (ALMP) play a role in the matching process.matching function, matching effectiveness, unemployment duration

    Is the matching function Cobb-Douglas?

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    We study the theoretical properties that particular matching functions must satisfy to represent a frictional labor market within a general equilibrium random matching model. We analyze Cobb-Douglas, CES and other functional forms of the matching function. Our findings establish restrictions on the parameters of these matching functions to ensure that the equilibrium is interior. These restrictions provide both theoretical reasons to choose among several functional forms and model misspecification tests for empirical work.interior equilibrium, random matching, matching function, cobbdouglas

    Sorting and Decentralized Price Competition

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    We investigate under which conditions price competition in a market with matching frictions leads to sorting of buyers and sellers. Positive assortative matching obtains only if there is a high enough degree of complementarity between buyer and seller types. The relevant condition is root-supermodularity; i.e., the square root of the match value function is supermodular. It is a necessary and sufficient condition for positive assortative matching under any distribution of buyer and seller types, and does not depend on the details of the underlying matching function that describes the search process. The condition is weaker than log-supermodularity, a condition required for positive assortative matching in markets with random search. This highlights the role competition plays in matching heterogeneous agents. Negative assortative matching obtains whenever the match value function is weakly submodular.Competitive Search Equilibrium. Directed Search. Two-Sided Matching. Decentralized Price Competition. Root-Supermodularity.

    Looking Into the Black Box: A Survey of the Matching Function

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    We survey the microfoundations, empirical evidence and estimation issues underlying the aggregate matching function. Several microeconomic matching mechanisms have been suggested in the literature with some successes but none is generally accepted as superior to all others. Instead, an aggregate matching function with hires as a function of vacancies and unemployment has been successfully estimated for several countries. The Cobb-Douglas restrictions with constant returns to scale perform well. Recent work has utilized disaggregated data to go beyond aggregate estimates, with many refinements and suggestions for future research.Matching function, search, mismatch, Beveridge curve, co-ordination failure, stock-flow matching, ranking, on-the-job search, space aggregation, time aggregation
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