0000000000850419

AUTHOR

Diego Legros

showing 6 related works from this author

Micro-foundations and empirical evidence of the dynamic model for female labor force participation

2016

International audience

[ QFIN ] Quantitative Finance [q-fin][QFIN] Quantitative Finance [q-fin]ComputingMilieux_MISCELLANEOUS
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The use of intellectual property rights by French firms

2012

International audience

[ SHS.ECO ] Humanities and Social Sciences/Economies and financesFrench Firms[SHS.ECO]Humanities and Social Sciences/Economics and FinanceIntellectual property rights[SHS.ECO] Humanities and Social Sciences/Economics and FinanceComputingMilieux_MISCELLANEOUS
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Spatial Econometrics and Spatial Data Pooled over Time: Towards an Adapted Modelling Approach

2013

International audience

spatial data[ SHS.ECO ] Humanities and Social Sciences/Economies and finances[SHS.ECO] Humanities and Social Sciences/Economics and FinanceSpatial econometrics[SHS.ECO]Humanities and Social Sciences/Economics and FinanceComputingMilieux_MISCELLANEOUS
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Dynamics of female labor force participation in France

2012

This paper formulates and estimates a structural intertemporal model of labor force participation. Relying on theoretical characterizations derived from an economic model of lifetime behavior, we estimate a dynamic probit model with correlated random effects using longitudinal data to allow for a dynamic structure. The model is applied to a panel of married women drawn from the 1997--2002 French Labor Force surveys in order to represent their participation behavior. It is estimated by maximum simulated likelihood. Our results show that women's decisions to go out to work are characterized by significant state dependence, unobserved heterogeneity, and negative serial correlation in the trans…

[SHS.SOCIO]Humanities and Social Sciences/Sociology[SHS.SOCIO] Humanities and Social Sciences/Sociology[ SHS.SOCIO ] Humanities and Social Sciences/SociologyHETEROGENEITEMODELE DYNAMIQUE
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Detecting Spatio-Temporal Dependance in Spatial Data Pooled over Time

2015

International audience; This paper addresses the possible problem related to using strictly spatial modelling techniques for spatial data poole d over time. For these data, such as real estate, the spatial dimension is present, but subject to constraints related to temporal dimension. Three empirical examples are presented to investigate the impact of neglecting the temporal dimension in spatial analysis and to show how such an approach overestimates the pattern of spatial dependence, and overestimates the spatial autoregressive coefficient estimated. If generalized to all other empirical applications, this conclusion may have important considerations if one tries to measure the effect of e…

Spatio-temporal dependenceDépendance spatio-temporelle[ SHS.ECO ] Humanities and Social Sciences/Economies and finances[SHS.ECO]Humanities and Social Sciences/Economics and Finance[SHS.ECO] Humanities and Social Sciences/Economics and Finance
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Économétrie spatiale appliquée des microdonnées

2014

220 pages; International audience;

[ SHS.ECO ] Humanities and Social Sciences/Economies and finances[SHS.ECO]Humanities and Social Sciences/Economics and Finance[SHS.ECO] Humanities and Social Sciences/Economics and FinanceMicrodonnéesEconométrie spatialeComputingMilieux_MISCELLANEOUS
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