Search results for "JEL: C - Mathematical and Quantitative Methods"

showing 10 items of 46 documents

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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Is the Ghosh model interesting?

2009

International audience; The overall value of the Ghosh model is appraised. Its treatment of quantities and prices is scrutinized by examining the variant with data in quantities and prices, and the variant with data in value and price indexes. The methodology involves returning to the accounting equations and shows that: (i) the Ghosh model offers solutions of limited interest, being incapable of providing prices or price indexes separately from quantities; (ii) what is taken to be the equation of Ghosh's value model is actually that of Ghosh's physical model; (iii) the Ghosh model may serve for cost-push exercises, but the dual of the Leontief model performs the same task in a much simpler…

Mixed modelLeontief modelJEL : C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C67 - Input–Output ModelsSupply-drivenJEL: C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C67 - Input–Output ModelsJEL: D - Microeconomics/D.D4 - Market Structure Pricing and Design/D.D4.D46 - Value TheoryJEL: D - Microeconomics/D.D5 - General Equilibrium and Disequilibrium/D.D5.D57 - Input–Output Tables and AnalysisEnvironmental Science (miscellaneous)Development[SHS.ECO]Humanities and Social Sciences/Economics and FinanceAccounting equationDual (category theory)JEL : D - Microeconomics/D.D4 - Market Structure Pricing and Design/D.D4.D46 - Value TheoryInput-OutputPrice indexValue (economics)EconomicsJEL : D - Microeconomics/D.D5 - General Equilibrium and Disequilibrium/D.D5.D57 - Input–Output Tables and Analysis[ SHS.ECO ] Humanities and Social Sciences/Economies and financesCroninDietzenbacher[SHS.ECO] Humanities and Social Sciences/Economics and FinanceMathematical economicsGhosh
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Biproportional methods of structural change analysis: A typological survey

2004

International audience; Analysts often are interested in learning how much an exchange system has changed over time or how two different exchange systems differ. Identifying structural difference in exchange matrices can be performed using either 'directed' or 'undirected' methods. Directed methods are based on the computation and comparison of column- or row-normalizations of the matrices. The choice of row or column for the normalization implies a specific direction of the exchanges, so that the column-wise normalized results should not be compared to the row-wise normalized results. In this category fall the simple comparison of coefficient matrices and the causative method. Undirected m…

Normalization (statistics)JEL : C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C67 - Input–Output ModelsEconomics and EconometricsJEL: C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C67 - Input–Output Modelscausative matrixComputationJEL: D - Microeconomics/D.D5 - General Equilibrium and Disequilibrium/D.D5.D57 - Input–Output Tables and AnalysisStructural difference[SHS.ECO]Humanities and Social Sciences/Economics and Financemathematical economicsinput-output analysisJEL: C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C63 - Computational Techniques • Simulation ModelingJEL : C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C63 - Computational Techniques • Simulation ModelingbiproportionMedian filterJEL : D - Microeconomics/D.D5 - General Equilibrium and Disequilibrium/D.D5.D57 - Input–Output Tables and Analysis[ SHS.ECO ] Humanities and Social Sciences/Economies and finances[SHS.ECO] Humanities and Social Sciences/Economics and FinanceAlgorithmMathematicsRAS
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Biproportional Method for Analysing Interindustry Dynamics: the case of France

1990

Two elements are being presented in this paper: (1) A new and original method for analysing matrix dynamics, called the synthetical biproportional projector method (SBP), which can be used to project input–output tables and compare one with another. (2) Some results for France for the important period 1970–85. The paper starts with the observation that no systematic study of the change in the French productive structure as displayed In the input–output tables (tableaux entries-sorties in France) has ever been made. This is unfortunate, since a complete series of data is now available concerning a key period of the French economic evolution including the petroleum crisis, European integratio…

Structure (mathematical logic)JEL : C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C67 - Input–Output ModelsEconomics and EconometricsEngineeringJEL: C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C67 - Input–Output ModelsOperations researchbusiness.industryJEL: L - Industrial Organization/L.L1 - Market Structure Firm Strategy and Market Performance/L.L1.L16 - Industrial Organization and Macroeconomics: Industrial Structure and Structural Change • Industrial Price IndicesJEL: D - Microeconomics/D.D5 - General Equilibrium and Disequilibrium/D.D5.D57 - Input–Output Tables and Analysis[SHS.ECO]Humanities and Social Sciences/Economics and FinanceDynamics (music)European integrationJEL : D - Microeconomics/D.D5 - General Equilibrium and Disequilibrium/D.D5.D57 - Input–Output Tables and Analysis[ SHS.ECO ] Humanities and Social Sciences/Economies and financesEvolutionary economicsJEL : L - Industrial Organization/L.L1 - Market Structure Firm Strategy and Market Performance/L.L1.L16 - Industrial Organization and Macroeconomics: Industrial Structure and Structural Change • Industrial Price Indicesbusiness[SHS.ECO] Humanities and Social Sciences/Economics and FinanceMathematical economicsComputingMilieux_MISCELLANEOUS
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Matrices de pondérations et contexte spatio-temporel en économétrie spatiale

2013

International audience

[SHS.STAT]Humanities and Social Sciences/Methods and statisticsJEL: Y - Miscellaneous Categories[SHS.ECO]Humanities and Social Sciences/Economics and FinanceMatricesEconomie spatialematrice de pondérationJEL: C - Mathematical and Quantitative Methods/C.C1 - Econometric and Statistical Methods and Methodology: General/C.C1.C19 - OtherAutocorrélation spatiale[ SHS.ECO ] Humanities and Social Sciences/Economies and financesmodèles autorégressifs spatiauxmodélisation spatio-temporelle[SHS.ECO] Humanities and Social Sciences/Economics and FinanceJEL: C - Mathematical and Quantitative Methods/C.C5 - Econometric Modeling/C.C5.C50 - GeneralComputingMilieux_MISCELLANEOUS
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