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NATURE OR NURTURE? LEARNING AND THE GEOGRAPHY OF FEMALE LABOR FORCE PARTICIPATION

Author
FOGLI, Alessandra1 ; VELDKAMP, Laura2
[1] Dept. of Economics, University of Minnesota, 1925 Fourth Street South, Minneapolis, MN 55455, United States
[2] Stem School of Business, New York University, 44 West Fourth Street, Suite 7-180, New York, NY 10012, United States
Source

Econometrica. 2011, Vol 79, Num 4, pp 1103-1138, 36 p ; ref : 2 p

CODEN
ECMTA7
ISSN
0012-9682
Scientific domain
Control theory, operational research; Mathematics
Publisher
Wiley-Blackwell, Oxford
Publication country
United Kingdom
Document type
Article
Language
English
Author keyword
Female labor force participation economic geography information diffusion
Keyword (fr)
Analyse corrélation Apprentissage Autocorrélation Donnée observation Economie Econométrie Enfant Estimation statistique Femme Méthode statistique Population active Processus stochastique Sciences économiques Série temporelle 60J20 62M10 62P20 Ensembe niveau Homme
Keyword (en)
Correlation analysis Learning Autocorrelation Observation data Economy Econometrics Child Statistical estimation Woman Statistical method Labour force Stochastic process Economic sciences Time series Level set Human
Keyword (es)
Análisis correlación Aprendizaje Autocorrelación Dato observación Economía Econometría Niño Estimación estadística Mujer Método estadístico Población activa Proceso estocástico Ciencias económicas Serie temporal Hombre
Classification
Pascal
001 Exact sciences and technology / 001A Sciences and techniques of general use / 001A02 Mathematics / 001A02H Probability and statistics / 001A02H01 Probability theory and stochastic processes / 001A02H01J Markov processes

Pascal
001 Exact sciences and technology / 001A Sciences and techniques of general use / 001A02 Mathematics / 001A02H Probability and statistics / 001A02H02 Statistics / 001A02H02M Inference from stochastic processes; time series analysis

Pascal
001 Exact sciences and technology / 001A Sciences and techniques of general use / 001A02 Mathematics / 001A02H Probability and statistics / 001A02H02 Statistics / 001A02H02N Applications / 001A02H02N2 Insurance, economics, finance

Discipline
Mathematics
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
24407915

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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