Search results for "fixed effects"

showing 10 items of 12 documents

Unemployment transitions and self-rated health in Europe: A longitudinal analysis of EU-SILC from 2008 to 2011

2015

- The Great Recession of 2008 has led to elevated unemployment in Europe and thereby revitalised the question of causal health effects of unemployment. This article applies fixed effects regression models to longitudinal panel data drawn from the European Union Statistics on Income and Living Conditions for 28 European countries from 2008 to 2011, in order to investigate changes in self-rated health around the event of becoming unemployed. The results show that the correlation between unemployment and health is partly due to a decrease in self-rated health as people enter unemployment. Such health changes vary by country of domicile, and by individual age; older workers have a steeper decli…

AdultMaleHealth (social science)media_common.quotation_subjectHealth StatusFixed effects analysisGreat recessionLife Change EventsDiagnostic Self EvaluationHistory and Philosophy of ScienceAdverse health effectEconomicsmedia_common.cataloged_instanceHumansLongitudinal StudiesEuropean unionSocioeconomicsHealth inequalitiesmedia_commonSelf-rated health:Medisinske Fag: 700::Helsefag: 800::Samfunnsmedisin sosialmedisin: 801 [VDP]VDP::Medisinske Fag: 700::Helsefag: 800::Samfunnsmedisin sosialmedisin: 801Age FactorsFixed effects modelMiddle AgedHealth SurveysPeer reviewEuropeSocioeconomic FactorsUnemploymentUnemploymentDemographic economicsFemaleSelf-reported healthPanel data
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Tirdzniecības atvērtības ietekme uz ekonomikas izaugsmi, CAE valstu empīriskais pētījums

2021

Darba mērķis ir izpētīt tirdzniecības atvērtības ietekmi uz ekonomikas izaugsmi, izmantojot 16 Centrālās un Austrumeiropas valstu paneļa datus 2010. – 2019. gadā, salīdzinot 4 dažādus tirdzniecības atvērtības rādītājus. Apvienotie OLS un fiksētie efekti tiek izmantoti kā primārie novērtētāji, un noturības analīzei tiek izmantots sistēmas GMM tests. Apkopoto OLS un fiksēto šķērsgriezumu regresiju iegūtie rezultāti parāda, ka dažādos tirdzniecības atvērtības mērījumos tirdzniecības atvērtība pozitīvi un ļoti nozīmīgi ietekmē ekonomikas izaugsmi. GMM sistēmas testi parāda tirdzniecības atvērtības negatīvo ietekmi uz ekonomikas izaugsmi, bet nozīmīgumu ieguva tikai divi atvērtības rādītāji.

CEE countriesfixed effectsEkonomikatrade opennesseconomic growth
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The relationship between child health, developmental gaps, and parental education: Evidence from administrative data

2012

We use administrative German data to examine the role of physical and mental health conditions in explaining developmental gaps between children whose parents have different educational levels. Specifically, we employ sibling fixed effect models to estimate the effect of a comprehensive list of childhood health conditions – diagnosed by government physicians – on the cognitive and verbal ability of pre-school children. We also apply decomposition methods to examine the extent to which gaps in child development can be attributed to child health conditions. While most physical health conditions have small and insignificant effects, mental health conditions, in particular hyperactivity, have a…

GermanGovernmentlanguageCognitionFixed effects modelSiblingPsychologyGeneral Economics Econometrics and FinanceMental healthChild developmentChild healthlanguage.human_languageDevelopmental psychology
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SO2emissions and the environmental Kuznets curve: the case of Chinese provinces

2009

This paper aims at estimating the Environmental Kuznets Curve (EKC) for the sulphur dioxide (SO2) emissions in a panel of 28 Chinese provinces. First, using a fixed effects model, econometric findings reveal an N shape EKC with a turning point of 4500 yuans (index 1990). However, a Chow test reveals a break in 1995, so that the estimation of the model indicates an increasing linear relationship between GDP per capita and SO2 emissions. The previous results imply that the decrease of the Chinese sulphur dioxide emissions during 1996–1999 did not result from the ECK but from an exogenous public action.

Index (economics)Linear relationshipKuznets curveEconometricsEconomicsPer capitaTurning pointFixed effects modelPublic actionGeneral Economics Econometrics and FinanceChow testJournal of Chinese Economic and Business Studies
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The impact of corruption on sport demand

2020

PurposeThe article presents an empirical analysis that evaluates the effects of a systemic corruption scandal on the demand in the short and the long run. In 2006, the Calciopoli scandal uncovered the match rigging in the Italian soccer first division. The exemplary sportive sanction of relegating the primary culprit to the second division imposed further negative externalities on the other clubs. Should we prefer the sportive sanction on the team or the monetary fines for the club?Design/methodology/approachWe estimated two log-linear models of the demand side (stadium attendance) using a fixed effect estimator, on two panel data set made of all the Italian soccer clubs in the first and se…

MarketingLabour economicsCorruptionmedia_common.quotation_subjectAttendanceFixed effects modelStadiumEconomicsSanctionsClubBusiness and International ManagementFinanceExternalityCorruption sanctions sport governance externalities Calciopolimedia_commonPanel data
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2019

Abstract This paper examines the labor-market returns to a new form of postsecondary vocational education: vocational master's degrees. We use individual fixed effects models on a matched sample of students and non-students from Finland to capture any time-invariant differences across individuals. We find that attendance in vocational master's programs leads to an earnings increase of more than seven percent five years after entry. The estimated effect remains positive even if selection on unobservables is twice as strong as selection on observables. Earnings gains are similar by gender and age, but they are marginally higher for those in the health sector than for those in the business or …

Organizational Behavior and Human Resource ManagementEconomics and EconometricsLabour economicsEarnings4. Education05 social sciencesAttendanceFixed effects modelVocational education0502 economics and business8. Economic growthEconomicsMatched sampleMarket return050207 economicsHealth sectorhealth care economics and organizationsSelection (genetic algorithm)050205 econometrics Labour Economics
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High Wage Workers Match with High Wage Firms: Clear Evidence of the Effects of Limited Mobility Bias

2012

Positive assortative matching implies that high productivity workers and firms match together. However, there is almost no evidence of a positive correlation between the worker and firm contributions in two-way fixed-effects wage equations. This could be the result of a bias caused by standard estimation error. Using German social security records we show that the effect of this bias is substantial in samples with limited inter-firm movement. The correlation between worker and firm contributions to wage equations is unambiguously positive.

Positive assortative matchingMatching (statistics)Labour economicsEconomics and Econometricsmedia_common.quotation_subjectLimited mobility biasWagejel:C23Employer–employee panelsjel:J20language.human_languagejel:J30Social securityGermanlanguageEconomicsfixed effects linked employer-employee panel data limited mobility biasLiterature studyLimited mobilityHigh wageFinancemedia_commonSSRN Electronic Journal
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COVID-19 y tabaquismo: revisión sistemática y metaanálisis de la evidencia

2021

RESUMEN Objetivo: el objetivo del estudio ha sido responder a las siguientes preguntas: ¿Se asocia el consumo de tabaco en pacientes con Covid-19 con una progresión negativa y desenlace adverso de la enfermedad? y, ¿se asocia el consumo de tabaco, actual y pasado, a una mayor posibilidad de desarrollar COVID-19? Material y Métodos: Se realizó una revisión sistemática (RS) y metaanálisis (MA) de trabajos publicados previamente. La estrategia de búsqueda incluyó todos los descriptores conocidos sobre Covid-19 y tabaco y se realizó en diferentes bases de datos. Se utilizaron modelos estadísticos adecuados para abordar el tamaño del efecto en un metaanálisis: modelo de efectos aleatorios y de e…

Pulmonary and Respiratory Medicinemedicine.medical_specialtybusiness.industrymedicine.medical_treatmentSmokingOdds ratioPublication biasFixed effects modelRandom effects modelFormer SmokerArticleDisease courseMeta-analysis03 medical and health sciences0302 clinical medicine030228 respiratory systemInternal medicineSystematic reviewmedicineIntubationObservational studyRisk factorCovid-19businessArchivos de Bronconeumología
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Visualizing the flow of evidence in network meta-analysis and characterizing mixed treatment comparisons

2013

Network meta-analysis techniques allow for pooling evidence from different studies with only partially overlapping designs for getting a broader basis for decision support. The results are network-based effect estimates that take indirect evidence into account for all pairs of treatments. The results critically depend on homogeneity and consistency assumptions, which are sometimes difficult to investigate. To support such evaluation, we propose a display of the flow of evidence and introduce new measures that characterize the structure of a mixed treatment comparison. Specifically, a linear fixed effects model for network meta-analysis is considered, where the network estimates for two trea…

Statistics and ProbabilityDecision support systemEpidemiologyComputer scienceHomogeneity (statistics)PoolingLinear modelFixed effects modelDirected acyclic graphcomputer.software_genrePath lengthData miningLinear combinationcomputerStatistics in Medicine
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On Ignoring the Random Effects Assumption in Multilevel Models: Review, Critique, and Recommendations

2019

Entities such as individuals, teams, or organizations can vary systematically from one another. Researchers typically model such data using multilevel models, assuming that the random effects are uncorrelated with the regressors. Violating this testable assumption, which is often ignored, creates an endogeneity problem thus preventing causal interpretations. Focusing on two-level models, we explain how researchers can avoid this problem by including cluster means of the Level 1 explanatory variables as controls; we explain this point conceptually and with a large-scale simulation. We further show why the common practice of centering the predictor variables is mostly unnecessary. Moreover, …

centeringmonitasoanalyysifixed effectsComputer scienceHLMStrategy and Management05 social sciencesMultilevel modeltilastomenetelmätsoveltava psykologia050401 social sciences methodsGeneral Decision SciencesendogeneityRandom effects modelorganisaatiotutkimus0504 sociologymultilevelManagement of Technology and Innovation0502 economics and businessrandom effects fixed effects multilevel HLM endogeneity centeringEconometricsrandom effectsEndogeneity050203 business & management
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