Search results for "J71"

showing 5 items of 5 documents

The monitoring role of female directors over accounting quality

2017

Recent research in accounting suggests female directors exert more stringent monitoring over the financial reporting process than their male counterparts. However, an emerging literature in finance and economics provides mixed findings and questions whether females in leadership roles significantly differ from their male counterparts. Building on this literature, we re-examine the link between the presence of female directors, gender biases, and financial statements quality. Using a large sample of UK firms we find that a larger percentage of women among independent directors is significantly associated with lower earnings management practices. However, we show that this relation disappears…

Economics and EconometricsGender diversityStrategy and Managementmedia_common.quotation_subjectM41educationAccountingEconomíaEarnings management0502 economics and businessEarnings qualityAccounting qualityQuality (business)Business and International ManagementG34Association (psychology)Gender diversityhealth care economics and organizationsmedia_commonJ71050208 financeJ16Corporate governancebusiness.industry/dk/atira/pure/core/keywords/af_corporate_financeCorporate governance05 social sciencesLarge sampleBoard of directorsEarnings managementAF Corporate FinancePsychologybusiness050203 business & managementFinanceEmpresa
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LES DISCRIMINATIONS A L'EMBAUCHE DANS LA SPHERE PUBLIQUE : EFFETS RESPECTIFS DE L'ADRESSE ET DE L'ORIGINE

2016

Cette étude évalue la discrimination dans l’accès à l’emploi dans trois professions présentes à la fois dans le secteur privé et dans la Fonction Publique. Deux dimensions sont examinées : l’effet de la réputation du lieu de résidence et l’effet de l’origine maghrébine. Elle est réalisée sur données expérimentales de testing réalisé dans trois professions en tension pour lesquelles la discrimination devrait a priori être très réduite : les responsables administratifs de catégorie A, les techniciens de maintenance de catégorie B et les aides soignantes de catégorie C. Pour chaque profession, nous avons construit 3 profils fictifs de candidats à l’emploi similaires en tout point à l’exception…

JEL : C - Mathematical and Quantitative Methods/C.C8 - Data Collection and Data Estimation Methodology • Computer Programs/C.C8.C81 - Methodology for Collecting Estimating and Organizing Microeconomic Data • Data AccessJEL: C - Mathematical and Quantitative Methods/C.C9 - Design of Experiments/C.C9.C93 - Field Experimentstesting.JEL: J - Labor and Demographic Economics/J.J4 - Particular Labor Markets/J.J4.J45 - Public Sector Labor Marketsfonction publiqueJEL: J - Labor and Demographic Economics/J.J7 - Labor Discrimination/J.J7.J71 - Discrimination[SHS.ECO]Humanities and Social Sciences/Economics and FinanceJEL : J - Labor and Demographic Economics/J.J4 - Particular Labor Markets/J.J4.J45 - Public Sector Labor Marketsoriginelieu de résidenceJEL : C - Mathematical and Quantitative Methods/C.C9 - Design of Experiments/C.C9.C93 - Field ExperimentsJEL : J - Labor and Demographic Economics/J.J1 - Demographic Economics/J.J1.J15 - Economics of Minorities Races Indigenous Peoples and Immigrants • Non-labor DiscriminationJEL: C - Mathematical and Quantitative Methods/C.C8 - Data Collection and Data Estimation Methodology • Computer Programs/C.C8.C81 - Methodology for Collecting Estimating and Organizing Microeconomic Data • Data Access[ SHS.ECO ] Humanities and Social Sciences/Economies and financesdiscrimination à l’embaucheJEL: J - Labor and Demographic Economics/J.J1 - Demographic Economics/J.J1.J15 - Economics of Minorities Races Indigenous Peoples and Immigrants • Non-labor DiscriminationJEL : J - Labor and Demographic Economics/J.J7 - Labor Discrimination/J.J7.J71 - Discrimination[SHS.ECO] Humanities and Social Sciences/Economics and Finance
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Lieu de résidence et discrimination salariale

2010

Ziel dieses Artikels ist es, die Lohnabweichungen zwischen Jugendlichen, die in sensiblen städtischen Zonen wohnen, am Ende ihrer Ausbildung und denjenigen, die zwar nicht in einer solchen Zone leben, die aber in städtischen Einheiten mit solchen Zonen wohnen, unter Berücksichtigung möglicher Barrieren beim Zugang zu bestimmten Beschäftigungen und insbesondere zu den Arbeitsplätzen von Führungskräften zu untersuchen. In Anknüpfung an Brown, Moon und Zoloth (1980) schlagen wir eine Zerlegung der Lohnabweichungen vor, bei der die Möglichkeit einer Differenzierung beim Zugang zu bestimmten Beschäftigungen entsprechend der Art des Stadtviertels, in dem die Jugendlichen wohnen, berücksichtigt wi…

Statistics and ProbabilityEconomics and EconometricsZone urbaineSociology and Political ScienceInégalité salariale[SHS.EDU]Humanities and Social Sciences/Educationdiscrimination territoriale0211 other engineering and technologies02 engineering and technologyJEL: J - Labor and Demographic Economics/J.J7 - Labor Discrimination/J.J7.J71 - DiscriminationZone sensibleJEL: J - Labor and Demographic Economics/J.J2 - Demand and Supply of Labor/J.J2.J24 - Human Capital • Skills • Occupational Choice • Labor Productivitydiscrimination salarialediscrimination territorialecapital humainZone Urbaine Sensible11. Sustainability0502 economics and business[ SHS.ECO ] Humanities and Social Sciences/Economies and finances050207 economics[SHS.ECO] Humanities and Social Sciences/Economics and Financediscrimination salarialeDiscrimination racialecapital humainEffet05 social sciencesAccès à l'emploi021107 urban & regional planning[SHS.ECO]Humanities and Social Sciences/Economics and FinanceZone Urbaine SensibleSecteur résidentiel8. Economic growthJEL : J - Labor and Demographic Economics/J.J2 - Demand and Supply of Labor/J.J2.J24 - Human Capital • Skills • Occupational Choice • Labor ProductivityJeuneJEL : J - Labor and Demographic Economics/J.J7 - Labor Discrimination/J.J7.J71 - Discrimination
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Effets de quartier, effet de département : discrimination liée au lieu de résidence et accès à l'emploi

2013

L’objet de cette étude est de mesurer la discrimination à l’embauche à l’encontre des jeunes en Ile-de-France en raison du lieu de résidence en considérant plusieurs échelles spatiales de façon à distinguer l’effet de la réputation du département (Paris et la Seine-Saint-Denis), celui de la localité et celui du quartier. L’évaluation est réalisée sur données expérimentales auto-construites de testing selon un protocole permettant d’examiner les effets propres à chacune de ces trois échelles sur l’accès à l’emploi ainsi que leurs effets cumulés. On s’intéresse aux discriminations pour deux professions en tension du secteur de la restauration pour laquelle les discriminations devraient a prio…

jel:C81JEL: C - Mathematical and Quantitative Methods/C.C9 - Design of Experiments/C.C9.C93 - Field Experiments0211 other engineering and technologies02 engineering and technologyeffets de quartierJEL: J - Labor and Demographic Economics/J.J7 - Labor Discrimination/J.J7.J71 - Discrimination0502 economics and business[ SHS.ECO ] Humanities and Social Sciences/Economies and financesJEL: J - Labor and Demographic Economics/J.J1 - Demographic Economics/J.J1.J15 - Economics of Minorities Races Indigenous Peoples and Immigrants • Non-labor Discriminationaccès à l'emploi050207 economics[SHS.ECO] Humanities and Social Sciences/Economics and FinanceComputingMilieux_MISCELLANEOUSjel:C9305 social sciencesjel:J71accès à l’emploi; discrimination; testing; effets de quartier; expérimentation021107 urban & regional planningaccès à l'emploidiscriminationtestingeffets de quartierexpérimentation[SHS.ECO]Humanities and Social Sciences/Economics and FinanceEmploitestingjel:J15JEL: C - Mathematical and Quantitative Methods/C.C8 - Data Collection and Data Estimation Methodology • Computer Programs/C.C8.C81 - Methodology for Collecting Estimating and Organizing Microeconomic Data • Data AccessexpérimentationGeneral Economics Econometrics and Financediscrimination
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Mobility, wages and gender across Europe

2012

In this paper, the socioeconomic and individual characteristics that favor mobility are analyzed. The stochastic frontier technique is used as an instrument of analysis to measure the differences that arise between the potential wage and the one that should be obtained for an individual with particular socioeconomic characteristics given his/her investment in human capital. A data panel of young workers who have been working at least for seven consecutive years is used for this analysis. The data set comes from the European Community Household Panel for the period 1995-2001. The results show that Spanish and Italian women have the higher changing probability; this high probability has a neg…

jel:J71jel:J31health care economics and organizationsWage differentials mobility Europe labor economic
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