Titre du document / Document title

Trade in university training: cross-state variation in the production and stock of college-educated labor

Auteur(s) / Author(s)

BOUND John ^{(1 2 3)} ; GROEN Jeffrey ⁽⁴⁾ ; KEZDI Gabor ^{(5 6)} ; TURNER Sarah ^{(2 3)} ;

Affiliation(s) du ou des auteurs / Author(s) Affiliation(s)

⁽¹⁾ Department of Economics, University of Michigan, 611 S. Tappan Street, Ann Arbor, MI 48109-1220, ETATS-UNIS
⁽²⁾ Ruffner Hall, University of Virginia, Charlottesville, VA 22904-4260, ETATS-UNIS
⁽³⁾ National Bureau of Economic Research, Cambridge, MA, ETATS-UNIS
⁽⁴⁾ Department of Labor Economics, Cornell University, 357 Ives Hall, Ithaca, NY 14853-3901, ETATS-UNIS
⁽⁵⁾ Department of Econometrics, Budapest University of Economics, Fovam ter 8, 1093 Budapest, HONGRIE
⁽⁶⁾ Institute of Economics, Hungarian Academy of Sciences, Budapest, HONGRIE

Résumé / Abstract

The question of this analysis is how the production of college graduates at the state level affects the stock of college-educated workers in the state. The potential mobility of skilled workers implies that the number of college students graduating in an area need not affect the number of college graduates living in the area. However, the production of relatively large numbers of college graduates in a state may lead to increases in the employment of university-trained manpower if industries expand production of goods and services that use college-educated workers intensively. We find at best only a modest link between the production and stock of baccalaureate degree recipients.

Revue / Journal Title

Journal of econometrics   ISSN 0304-4076   CODEN JECMB6 

Source / Source

2004, vol. 121, n^o 1-2 (428 p.)  [Document : 31 p.] (23 ref.), pp. 143-173 [31 page(s) (article)]

Langue / Language

Anglais

Editeur / Publisher

Elsevier, Amsterdam, PAYS-BAS  (1973) (Revue)

Mots-clés anglais / English Keywords

Economic data ; Data analysis ; Econometrics ; Statistical estimation ; Statistical method ; Law of large numbers ;

Mots-clés français / French Keywords

62P30 ; 60J20 ; 62P20 ; Donnée économique ; Analyse donnée ; Econométrie ; Estimation statistique ; Méthode statistique ; Loi grand nombre ;

Mots-clés espagnols / Spanish Keywords

Dato económico ; Análisis datos ; Econometría ; Estimación estadística ; Método estadístico ; Ley gran número ;

Localisation / Location

INIST-CNRS, Cote INIST : 16460, 35400011032688.0050