Search results for "QUANTITATIVE METHODS"

showing 10 items of 152 documents

Normalizing biproportional methods

2002

International audience; Biproportional methods are used to update matrices: the projection of a matrix Z to give it the column and row sums of another matrix is R Z S, where R and S are diagonal and secure the constraints of the problem (R and S have no signification at all because they are not identified). However, normalizing R or S generates important mathematical difficulties: it amounts to put constraints on Lagrange multipliers, non negativity (and so the existence of the solution) is not guaranteed at equilibrium or along the path to equilibrium.

JEL: C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C67 - Input–Output Modelsjel:C63Diagonaljel:C67JEL: D - Microeconomics/D.D5 - General Equilibrium and Disequilibrium/D.D5.D57 - Input–Output Tables and Analysismathematical economicsColumn (database)Projection (linear algebra)Combinatoricssymbols.namesakeMatrix (mathematics)JEL: C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C63 - Computational Techniques • Simulation ModelingmatricesJEL : D - Microeconomics/D.D5 - General Equilibrium and Disequilibrium/D.D5.D57 - Input–Output Tables and Analysis[ SHS.ECO ] Humanities and Social Sciences/Economies and financesNon negativity[SHS.ECO] Humanities and Social Sciences/Economics and FinanceGeneral Environmental ScienceMathematicsJEL : C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C67 - Input–Output ModelsGeneral Social Sciences[SHS.ECO]Humanities and Social Sciences/Economics and Financejel:D57community developmentJEL : C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C63 - Computational Techniques • Simulation ModelingLagrange multiplierPath (graph theory)symbols
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Managerial Behavior in the Lab: Information Disclosure, Decision Process and Leadership Style

2019

This paper reports the results from a lab experiment in which subjects playing the manager role can implement either an efficient / inegalitarian allocation or an inefficient / egalitarian allocation of payoffs. The experiment simulates a stylized managerial context by allowing the manager to manipulate information and select the decision process and by allowing the stakeholders to retaliate against the manager given different choices in the decision process. We found that the inefficient allocation is often selected and that this choice depends on whether the employees can retaliate against the manager and on whether the manager can hide information about the payoffs. The social preference…

JEL: C - Mathematical and Quantitative Methods/C.C9 - Design of Experiments/C.C9.C92 - Laboratory Group BehaviorStylized factDecision process050208 financeManagerial decisionAsymmetric informationProcess (engineering)Management style.05 social sciencesStochastic gameManagement stylesCommunication strategyContext (language use)JEL: M - Business Administration and Business Economics • Marketing • Accounting • Personnel Economics/M.M1 - Business Administration/M.M1.M12 - Personnel Management • Executives; Executive Compensation[SHS.ECO]Humanities and Social Sciences/Economics and FinanceSocial preferencesMicroeconomicsInformation asymmetry0502 economics and businessJEL: D - Microeconomics/D.D3 - Distribution/D.D3.D39 - OtherLeadership styleBusiness050207 economics[SHS.ECO] Humanities and Social Sciences/Economics and Finance
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Job Satisfaction among Primary School Personnel

2016

International audience; This article analyzes the job satisfaction of primary school teachers inMadagascar. Based on the estimation of multilevel models, low wages and problems getting paid, job insecurity, lack of in-service training, high pupil-teacher ratios, and lack of basic infrastructure and teaching materials are identified as the main reasons for dissatisfaction. Principals' control of teachers' activities also adversely affects satisfaction, suggesting that, in Malagasy schools, neither school directors nor teachers have succeeded in adopting organizational cultures based on cooperation among their members. These results are likely to stimulate debates on educational policy, both …

JEL: J - Labor and Demographic Economics/J.J2 - Demand and Supply of Labor/J.J2.J28 - Safety • Job Satisfaction • Related Public Policy[SHS.EDU]Humanities and Social Sciences/Educationmultilevel models[SHS.EDU] Humanities and Social Sciences/EducationJEL: C - Mathematical and Quantitative Methods/C.C1 - Econometric and Statistical Methods and Methodology: General/C.C1.C13 - Estimation: GeneralJEL : I - Health Education and Welfare/I.I2 - Education and Research Institutions/I.I2.I25 - Education and Economic DevelopmentJEL: I - Health Education and Welfare/I.I2 - Education and Research Institutions/I.I2.I21 - Analysis of Education[ SHS.EDU ] Humanities and Social Sciences/Education[SHS.ECO]Humanities and Social Sciences/Economics and FinanceJEL : J - Labor and Demographic Economics/J.J2 - Demand and Supply of Labor/J.J2.J28 - Safety • Job Satisfaction • Related Public PolicyJEL: I - Health Education and Welfare/I.I2 - Education and Research Institutions/I.I2.I25 - Education and Economic DevelopmentJEL : C - Mathematical and Quantitative Methods/C.C1 - Econometric and Statistical Methods and Methodology: General/C.C1.C13 - Estimation: GeneralJob satisfactionprimary educationMadagascar[ 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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Is there a Market Value for Energy Performance in a Local Private Housing Market ? An efficiency analysis approach

2018

This paper aims to find evidence of a “green value” in a local housing market using notarial data on a small urban area in France. We use frontier functions, an original approach that departs from customary hedonistic regressions, to model housing market prices as a production set bordered by an efficiency frontier estimated by Data Envelopment Analysis (DEA). The paper tests if difference in prices (i.e. the distance from the frontier) can be explained by energy performance measured as a normalized categorical ascending kWh/m²/year grade (or Energy Performance Certificate -EPC). We show that there is significative evidence for energy performance's market value. The “Green Property Value” i…

JEL: O - Economic Development Innovation Technological Change and Growth/O.O1 - Economic Development/O.O1.O18 - Urban Rural Regional and Transportation Analysis • Housing • InfrastructureJEL: Q - Agricultural and Natural Resource Economics • Environmental and Ecological Economics/Q.Q4 - Energy/Q.Q4.Q41 - Demand and Supply • PricesFrontier FunctionsResidential Housing MarketJEL: C - Mathematical and Quantitative Methods/C.C5 - Econometric ModelingGreen Value[SHS.ECO]Humanities and Social Sciences/Economics and FinanceEfficiency Analysis[SHS]Humanities and Social SciencesEnergy Performance CertificatesData Envelopment AnalysisJEL: R - Urban Rural Regional Real Estate and Transportation Economics/R.R1 - General Regional Economics/R.R1.R15 - Econometric and Input–Output Models • Other ModelsJEL: Q - Agricultural and Natural Resource Economics • Environmental and Ecological Economics/Q.Q5 - Environmental Economics/Q.Q5.Q51 - Valuation of Environmental Effects[SHS] Humanities and Social SciencesEnergy Retrofit[SHS.ECO] Humanities and Social Sciences/Economics and Finance
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Nature et impacts des effets spatiaux sur les valeurs immobilières : le cas de l'espace urbanisé francilien

2013

International audience

JEL: R - Urban Rural Regional Real Estate and Transportation Economics/R.R1 - General Regional Economics/R.R1.R14 - Land Use PatternsJEL: R - Urban Rural Regional Real Estate and Transportation Economics/R.R2 - Household Analysis/R.R2.R21 - Housing DemandJEL : C - Mathematical and Quantitative Methods/C.C5 - Econometric Modeling/C.C5.C52 - Model Evaluation Validation and SelectionJEL : R - Urban Rural Regional Real Estate and Transportation Economics/R.R2 - Household Analysis/R.R2.R21 - Housing Demand[SHS.STAT]Humanities and Social Sciences/Methods and statisticséconométrie spatialemodèle hédoniqueJEL: C - Mathematical and Quantitative Methods/C.C1 - Econometric and Statistical Methods and Methodology: General/C.C1.C12 - Hypothesis Testing: General[SHS.ECO]Humanities and Social Sciences/Economics and FinanceJEL: C - Mathematical and Quantitative Methods/C.C5 - Econometric Modeling/C.C5.C52 - Model Evaluation Validation and SelectionJEL : R - Urban Rural Regional Real Estate and Transportation Economics/R.R1 - General Regional Economics/R.R1.R14 - Land Use Patternseffets de voisinage[SHS.STAT] Humanities and Social Sciences/Methods and statisticsJEL : C - Mathematical and Quantitative Methods/C.C1 - Econometric and Statistical Methods and Methodology: General/C.C1.C12 - Hypothesis Testing: General[ SHS.ECO ] Humanities and Social Sciences/Economies and financesvaleurs immobilières[SHS.ECO] Humanities and Social Sciences/Economics and Finance[ SHS.STAT ] Humanities and Social Sciences/Methods and statisticsComputingMilieux_MISCELLANEOUS
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NEIGHBORHOOD EFFECTS IN SPATIAL HOUSING VALUE MODELS. THE CASE OF THE METROPOLITAN AREA OF PARIS (1999)

2009

In hedonic housing models, the spatial dimension of housing values are traditionally processed by the impact of neighborhood variables and accessibility variables. In this paper we show that spatial effects might remain once neighborhood effects and accessibility have been controlled for. We notably stress on three sides of neighborhood effects: social capital, social status and social externalities and consider the accessibility to the primary economic center as describing the urban spatial trend. Using spatial econometrics specifications of the hedonic equation, we estimate whether spatial effects impact the housing values. Our empirical case concerns the Metropolitan Area (MA) of Paris i…

JEL: R - Urban Rural Regional Real Estate and Transportation Economics/R.R1 - General Regional Economics/R.R1.R14 - Land Use PatternsJEL: R - Urban Rural Regional Real Estate and Transportation Economics/R.R2 - Household Analysis/R.R2.R21 - Housing DemandJEL : R - Urban Rural Regional Real Estate and Transportation Economics/R.R2 - Household Analysis/R.R2.R21 - Housing DemandJEL : C - Mathematical and Quantitative Methods/C.C5 - Econometric ModelingC520Modèle hédoniqueJEL: C - Mathematical and Quantitative Methods/C.C5 - Econometric ModelingJEL: C - Mathematical and Quantitative Methods/C.C2 - Single Equation Models • Single Variables/C.C2.C21 - Cross-Sectional Models • Spatial Models • Treatment Effect Models • Quantile Regressions[SHS.ECO]Humanities and Social Sciences/Economics and FinanceC120C520R140R210 [Hedonic modelhousing valueneighborhood effectsspatial econometricsModèle hédoniquevaleur immobilièreeffets de voisinageéconométrie spatiale JEL Classification]JEL : C - Mathematical and Quantitative Methods/C.C2 - Single Equation Models • Single Variables/C.C2.C21 - Cross-Sectional Models • Spatial Models • Treatment Effect Models • Quantile RegressionsR210JEL : R - Urban Rural Regional Real Estate and Transportation Economics/R.R1 - General Regional Economics/R.R1.R14 - Land Use Patternsspatial econometricsvaleur immobilièreeffets de voisinageneighborhood effectsHedonic model[ SHS.ECO ] Humanities and Social Sciences/Economies and financeshousing valueéconométrie spatiale JEL Classification : C120[SHS.ECO] Humanities and Social Sciences/Economics and FinanceR140
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Spatial effects of urban public policies on housing values

2009

International audience; Problems of spatial segregation have often stressed on the social status and social capital of a neighbourhood as main driving forces behind housing price formation. In this paper, it is assumed that spatial effects are additional variables worth considering since the impact of urban policies such as social housing policies and urban regeneration policies may permeate outside the areas where they are implemented. Our case study is of the urban area of Dijon (France), where these two types of urban policies have been implemented in the last three decades. Spatial effects are introduced in the hedonic model and a spatial error model is estimated, revealing a positive a…

JEL: R - Urban Rural Regional Real Estate and Transportation Economics/R.R2 - Household Analysis/R.R2.R21 - Housing Demandurban policiesJEL : C - Mathematical and Quantitative Methods/C.C4 - Econometric and Statistical Methods: Special TopicsPublic housingGeography Planning and DevelopmentPublic policyUrban regenerationEnvironmental Science (miscellaneous)Urban areaneighbourhood effectsJEL : R - Urban Rural Regional Real Estate and Transportation Economics/R.R2 - Household Analysis/R.R2.R28 - Government PolicyDeprived districts[ SHS.ECO ] Humanities and Social Sciences/Economies and financesEconomic geography[SHS.ECO] Humanities and Social Sciences/Economics and FinanceNeighbourhood (mathematics)JEL : R - Urban Rural Regional Real Estate and Transportation Economics/R.R2 - Household Analysis/R.R2.R21 - Housing Demandgeography.geographical_feature_category[SHS.ECO]Humanities and Social Sciences/Economics and FinanceGeographyspatial econometricsEconomyPrice formationhedonic modelJEL: C - Mathematical and Quantitative Methods/C.C4 - Econometric and Statistical Methods: Special TopicsJEL: R - Urban Rural Regional Real Estate and Transportation Economics/R.R2 - Household Analysis/R.R2.R28 - Government PolicySocial capitalSocial status
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Molecular mimicry may explain multi-organ damage in COVID-19

2020

International audience

Kawasaki vasculitiVascular damagemedicine.disease_causeEpitopes0302 clinical medicineOR7D4PandemicSevere acute respiratory syndrome coronavirus 2Immunology and AllergyComputingMilieux_MISCELLANEOUS0303 health sciencesLeukopenia[SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM]Molecular mimicryPARP9Cross ReactionEpitopemedicine.symptomCoronavirus InfectionsHuman2019-20 coronavirus outbreakCoronavirus disease 2019 (COVID-19)AnosmiaPneumonia ViralImmunologyAnosmiaCross ReactionsBiologyAutoimmune DiseaseArticleAutoimmune DiseasesBetacoronavirus03 medical and health sciencesKawasaki vasculitismedicineHumansPandemics030304 developmental biologyBetacoronaviruPandemicSARS-CoV-2Coronavirus InfectionModels ImmunologicalCOVID-19LeukopeniaMulti organbiology.organism_classificationVirologySLC12A6Molecular mimicry030217 neurology & neurosurgeryBetacoronavirusAutoimmunity Reviews
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Selectivity in Probabilistic Causality: Where Psychology Runs Into Quantum Physics

2011

Given a set of several inputs into a system (e.g., independent variables characterizing stimuli) and a set of several stochastically non-independent outputs (e.g., random variables describing different aspects of responses), how can one determine, for each of the outputs, which of the inputs it is influenced by? The problem has applications ranging from modeling pairwise comparisons to reconstructing mental processing architectures to conjoint testing. A necessary and sufficient condition for a given pattern of selective influences is provided by the Joint Distribution Criterion, according to which the problem of "what influences what" is equivalent to that of the existence of a joint distr…

Linear programming81P05 (Primary) 91E99 (Secondary)media_common.quotation_subjectFOS: Physical sciencesMathematics - Statistics TheoryQuantum entanglementStatistics Theory (math.ST)System of linear equations01 natural sciencesQuantitative Biology - Quantitative Methods050105 experimental psychologyCausality (physics)Joint probability distributionQuantum mechanics0103 physical sciencesFOS: Mathematics0501 psychology and cognitive sciences010306 general physicsSet (psychology)ta515General PsychologyQuantitative Methods (q-bio.QM)media_commonta113ta112Quantum PhysicsVariablesta114Applied Mathematicsta11105 social sciencesFOS: Biological sciencesPhysics - Data Analysis Statistics and ProbabilityQuantum Physics (quant-ph)Random variableData Analysis Statistics and Probability (physics.data-an)
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Spike-in SILAC proteomic approach reveals the vitronectin as an early molecular signature of liver fibrosis in hepatitis C infections with hepatic ir…

2014

Hepatitis C virus (HCV)-induced iron overload has been shown to promote liver fibrosis, steatosis, and hepatocellular carcinoma. The zonal-restricted histological distribution of pathological iron deposits has hampered the attempt to perform large-scale in vivo molecular investigations on the comorbidity between iron and HCV. Diagnostic and prognostic markers are not yet available to assess iron overload-induced liver fibrogenesis and progression in HCV infections. Here, by means of Spike-in SILAC proteomic approach, we first unveiled a specific membrane protein expression signature of HCV cell cultures in the presence of iron overload. Computational analysis of proteomic dataset highlighte…

Liver CirrhosisProteomicshepatitis C virusMaleMESH: Isotope LabelingHSCmedicine.disease_causeBiochemistry0302 clinical medicineFibrosisMESH: Up-RegulationMembrane Proteinhepatic stellate cellliver fibrosishepatic iron overload0303 health sciencesbiologyMESH: ProteomicsMedicine (all)hepatocellular carcinomaBiomedicine; hepatitis c infection; liver fibrosis; hepatic iron overload; vitronectinHepatitis C[SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM]Hepatitis CUp-Regulation3. Good healthcell culture-derived HCVIsotope Labeling030220 oncology & carcinogenesisHepatocellular carcinomaBiomedicine; Hepatic iron overload; Hepatitis C infection; Liver fibrosis; Vitronectin; Biomarkers; Cell Line; Hepatitis C; Humans; Iron Overload; Isotope Labeling; Liver Cirrhosis; Male; Membrane Proteins; Proteomics; Up-Regulation; Vitronectin; Molecular Biology; Biochemistry; Medicine (all)HCV[SDV.MP.VIR]Life Sciences [q-bio]/Microbiology and Parasitology/VirologyBiomarker (medicine)VitronectinMESH: Membrane ProteinsMESH: Liver CirrhosisHumanIron OverloadLiver CirrhosiHepatitis C virusvitronectinhepatitis c infectionCell LineMESH: Iron Overload03 medical and health sciencesmedicineHumans[SDV.BBM]Life Sciences [q-bio]/Biochemistry Molecular BiologyMolecular Biology030304 developmental biologyMESH: Hepatitis CMESH: HumansMESH: Biological MarkersMembrane ProteinsLiver fibrosiProteomicBiomarkermedicine.diseaseMESH: VitronectinMESH: Maledigestive system diseasesMESH: Cell LineBiomedicineBiomedicine / Abbreviations: HCCHCVccImmunologyCancer researchHepatic stellate cellbiology.proteinSteatosisBiomarkersPROTEOMICS
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