Search results for " wage differentials"

showing 6 items of 6 documents

Graduate employment and the returns to higher education in Africa

2013

http://cemapre.iseg.utl.pt/educonf/2e3/files/submissions_to_web/Barounia%20Mahdi_Broeckeb%20%20Stijn.docx; In this paper, we estimate the return to higher education for 12 African countries using recent data and a variety of methods. Importantly, one of our methods adjusts for the effect of higher education on the rate of joblessness, which is substantial in most African countries, and particularly for women. Our results confirm that Mincerian coefficients cannot be interpreted as a true rate of return, and that the latter (even after taking into account the employment effect) is considerably lower than what has previously been suggested in the literature (less than half). For Sub-Saharan A…

Diplômé de l'enseignement supérieurJEL : I - Health Education and Welfare/I.I2 - Education and Research Institutions/I.I2.I23 - Higher Education • Research InstitutionsJEL : J - Labor and Demographic Economics/J.J3 - Wages Compensation and Labor Costs/J.J3.J31 - Wage Level and Structure • Wage Differentials[SHS.EDU]Humanities and Social Sciences/Education[SHS.EDU] Humanities and Social Sciences/Education[ SHS.EDU ] Humanities and Social Sciences/EducationJEL: I - Health Education and Welfare/I.I2 - Education and Research Institutions/I.I2.I21 - Analysis of EducationJEL: I - Health Education and Welfare/I.I2 - Education and Research Institutions/I.I2.I23 - Higher Education • Research InstitutionsRendement de l'enseignementJEL: J - Labor and Demographic Economics/J.J3 - Wages Compensation and Labor Costs/J.J3.J31 - Wage Level and Structure • Wage Differentialsreturns to education[SHS.ECO]Humanities and Social Sciences/Economics and Financegraduate unemploymenthigher educationChômage des diplômés[ SHS.ECO ] Humanities and Social Sciences/Economies and finances[SHS.ECO] Humanities and Social Sciences/Economics and FinanceJEL : I - Health Education and Welfare/I.I2 - Education and Research Institutions/I.I2.I21 - Analysis of Education
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The labour market consequences of self-employment spells:European evidence

2008

Hundreds of thousands of Europeans enter self-employment each year, but because self-employment spells are typically brief, many of them exit soon after entry. We examine how those who return to paid-employment fare on the labour market using the European Community Household Panel (ECHP). Like earlier evidence for the US, ours indicate that, in general, brief spells of self-employment do not increase average hourly earnings upon return to paid-employment. For highly educated men, an additional year of self-employment actually decreases their earnings by 4-5% relative to a year of continued wage employment. We also find that brief spells of self-employment are associated with increased proba…

Organizational Behavior and Human Resource ManagementEconomics and EconometricsLabour economicsEntrepreneurshipEuropean communitymedia_common.quotation_subjectWagejel:J24jel:J23EconomicsSelf-employmentProductivitySelectionself-employment job mobility earnings wage differentials selectionSelection (genetic algorithm)media_commonEarningsSpellSDG 8 - Decent Work and Economic Growthjel:J31/dk/atira/pure/sustainabledevelopmentgoals/decent_work_and_economic_growthEarningsUnemploymentJob mobilitySelf-employmentWage differentials
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Schooling Effects and Earnings of French UniversityGraduates : School Quality Matters, but Choice ofDisciplines Matters More

2009

09022 - Actes sur CD-ROM; Our aim in this article is to study the relation between earnings of French universities graduates and some characteristics of their universities. We exploit data from the Céreq's "Génération 98" survey, enriched with information on university characteristics primarily from the ANETES (yearbook of French institutions of higher education). We employ multilevel modeling, enabling us to take advantage of the natural hierarchy in our separate datasets, and thus to identify, and even to measure potential effcts of institutional quality. Since we take into account many individual students characteristics, we are able to obtain an income hierarchy among the diffrent disci…

[SHS.EDU]Humanities and Social Sciences/EducationDemand fo schoolingSalaries wage differentials[SHS.EDU] Humanities and Social Sciences/Education[ SHS.ECO ] Humanities and Social Sciences/Economies and financesHuman capital[ SHS.EDU ] Humanities and Social Sciences/EducationEducational economicsSchool choiceHigher educationFrance[SHS.ECO]Humanities and Social Sciences/Economics and Finance[SHS.ECO] Humanities and Social Sciences/Economics and Finance
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Higher Education Institutions Quality and Graduate Wages in Tunisia

2017

International audience; We estimate the effect of university characteristics on the return to higher education in Tunisia. We use a variety of administrative data from the Ministry of Higher Education and Research, the Ministry of Vocational Training and Employment and the National Social Security Fund. We consider econometric approaches based on multilevel modeling, which distinguishes more precisely between the effects of individual factors and institutional factors on earnings. Our findings confirm the relationship between the income and some university characteristics such as the number of permanent teachers, the selectivity of the higher learning institutions at the academic orientatio…

JEL : I - Health Education and Welfare/I.I2 - Education and Research Institutions/I.I2.I23 - Higher Education • Research InstitutionsJEL : J - Labor and Demographic Economics/J.J3 - Wages Compensation and Labor Costs/J.J3.J31 - Wage Level and Structure • Wage Differentials[SHS.EDU]Humanities and Social Sciences/Education[SHS.EDU] Humanities and Social Sciences/Educationeducation[ SHS.EDU ] Humanities and Social Sciences/EducationJEL: I - Health Education and Welfare/I.I2 - Education and Research Institutions/I.I2.I23 - Higher Education • Research InstitutionsTertiary educationDevelopment countryJEL: J - Labor and Demographic Economics/J.J3 - Wages Compensation and Labor Costs/J.J3.J31 - Wage Level and Structure • Wage DifferentialsJEL: C - Mathematical and Quantitative Methods/C.C2 - Single Equation Models • Single Variables/C.C2.C29 - Other[SHS.ECO]Humanities and Social Sciences/Economics and FinanceMultilevel ModelIncomes[ SHS.ECO ] Humanities and Social Sciences/Economies and finances[SHS.ECO] Humanities and Social Sciences/Economics and FinanceJEL : C - Mathematical and Quantitative Methods/C.C2 - Single Equation Models • Single Variables/C.C2.C29 - OtherUniversity effect
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Schooling effects and earnings of French University graduates: school quality matters, but choice of discipline matters more

2010

Our aim in this article is to study the relation between earnings of French universities graduates and some characteristics of their universities. We exploit data from the Céreq's "Génération 98" survey, enriched with information on university characteristics primarily from the ANETES (yearbook of French institutions of higher education). We employ multilevel modeling, enabling us to take advantage of the natural hierarchy in our separate datasets, and thus to identify, and even to measure potential effects of institutional quality. Since we take into account many individual students characteristics, we are able to obtain an income hierarchy among the different disciplines : students who gr…

salaries wage differentialsschool choiceDemand for schoolingeducational economicshuman capitalsalaries wage differentialsDemand for schoolingeducational economics[ SHS.ECO ] Humanities and Social Sciences/Economies and financesschool choicehuman capital[SHS.ECO] Humanities and Social Sciences/Economics and Finance[SHS.ECO]Humanities and Social Sciences/Economics and Finance
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Returns To Education During And After The Economic Crisis: Evidence From Latvia 2006–2012

2017

We employ EU-SILC micro data for Latvia to study how returns to education changed during the economic crisis of 2008–2009 and afterwards. We found that returns to education increased significantly during the crisis and decreased slightly during the subsequent economic recovery. The counter-cyclical effect was evident in nearly all population groups. After the crisis, education became more associated than before with a longer working week and a higher employment probability. Furthermore, we show that returns to education in Latvia are generally higher in the capital city and its suburbs than outside the capital city region, as well as for citizens of Latvia than for resident non-citizens and…

professional experienceökonomisches ModellLabour economicsSecondary educationEconomicsuniversity level of educationgender-specific factorsMincer coefficientEconomicsWirtschaftskriseLabor Market Research050207 economicsHochschulbildungHB71-74050205 econometrics media_commoneducation.field_of_study05 social sciencesInstrumental variableWirtschaftDifferential (mechanical device)Lettlandreturns to educationGeneral Medicinewage differentials modelreturns to education; Mincer coefficient; wage differentials model; higher education wage premium; instrumental variableswagemincer coefficientEinkommensunterschiedHigher educationLohnmedia_common.quotation_subjectPopulationWageeconomic crisis0502 economics and businessddc:330Messungdifference in incomeeducationBerufserfahrunginstrumental variablesArbeitsmarktforschungbusiness.industryLohnhöheLatviawage levelEconomics as a sciencegeschlechtsspezifische FaktorenEconomic recoveryCapital citymeasurementhigher education wage premiumbusinesseconomic modelComparative Economic Research. Central and Eastern Europe
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