0000000000530944

AUTHOR

Kassoum Ayouba

showing 6 related works from this author

The spatial dimension of the French private rental markets: Evidence from microgeographic data in 2015

2021

International audience; This article draws on data collected by local rental observatories in 12 French urban units in 2015 to analyze the spatial dimension of hedonic rental prices in the private rental market through (i) the spatial heterogeneity between urban units and (ii) the wide variety of contextual and locational characteristics (socio-economic, environmental (dis)amenity, and accessibility) and flexible specifications to capture their potential non-linear influence on rent. Based on a joint test of equality of coefficients across all urban units, we find that hedonic prices differ for 75% of the characteristics, thereby justifying a detailed analysis of heterogeneity. Lyon, Nice, …

Geography Planning and Development0211 other engineering and technologies02 engineering and technologyHedonic modelsManagement Monitoring Policy and LawJEL: C - Mathematical and Quantitative Methods/C.C2 - Single Equation Models • Single Variables/C.C2.C21 - Cross-Sectional Models • Spatial Models • Treatment Effect Models • Quantile RegressionsPrivate rental marketsJEL: R - Urban Rural Regional Real Estate and Transportation Economics/R.R3 - Real Estate Markets Spatial Production Analysis and Firm Location/R.R3.R31 - Housing Supply and MarketsRenting0502 economics and business11. SustainabilityArchitectureEconomicsEconomic geography050207 economicsDimension (data warehouse)Nature and Landscape Conservationbusiness.industry05 social sciences021107 urban & regional planning[SDV.SA.AEP]Life Sciences [q-bio]/Agricultural sciences/Agriculture economy and politics[SHS.ECO]Humanities and Social Sciences/Economics and FinanceSpatial heterogeneityUrban StudiesSpatial heterogeneitybusiness
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Beyond GDP: an analysis of the socio-economic diversity of European regions

2019

International audience; This paper aims to analyze the socioeconomic diversity of the European Union (EU-28) regions from a dynamic perspective. For that purpose, we combine a series of exploratory space-time analysis approaches to multiple Factor Analysis (MFA) applied to a large range of indicators collected at the NUTS-2 level for the period 2000–2015 for the EU-28. First, we find that the first factor of MFA, interpreted as economic development (ECO-DEV), is spatially clustered and that a moderate convergence process is at work between European regions from 2000 to 2015. Second, when comparing these results with those obtained for Gross Domestic Product (GDP) per capita, we show that th…

VolkswirtschaftstheorieinequalityEconomics[SDV]Life Sciences [q-bio]UngleichheitRaumplanung und RegionalforschungEconomicsEconomic geographysozioökonomische Lage050207 economicsddc:710media_commoneconomic development (on national level)Städtebau Raumplanung Landschaftsgestaltung050208 finance05 social sciencesArea Development Planning Regional Research109001. No povertyWirtschaftsocioeconomic positionRegionalpolitik[SHS.ECO]Humanities and Social Sciences/Economics and Finance[SDV] Life Sciences [q-bio]Multiple factor analysis8. Economic growthExploratory space-time analysisBildungsniveauregional policySpatial autocorrelationNational EconomyEconomics and Econometricsmedia_common.quotation_subjectEuropean regionsArbeitsmarktWirtschaftsentwicklunglevel of education0502 economics and businessMultiple factor analysisddc:330media_common.cataloged_instanceMessungEuropean unionDatengewinnungBeyond gdpSpatial analysisSocioeconomic statusspatial autocorrelation; European regions; exploratory space-time analysis; multiple factor analysisLandscaping and area planningBevölkerungsentwicklungPerspective (graphical)EU policypopulation developmentregional differencedata captureregionaler UnterschiedEU-Politikmeasurementlabor marketEUDiversity (politics)Applied Economics
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Does Airbnb Disrupt the Private Rental Market? An Empirical Analysis for French Cities

2019

This article evaluates whether Airbnb rentals affect the rents in the private rental sector in eight cities in France. We estimate a hedonic equation for each city on individual data for apartments, allowing for heteroscedasticity and spatial error autocorrelation of unknown forms and using a large variety of structural and contextual characteristics of the apartments. We show that the density of Airbnb rentals puts upward pressure on rents in Lyon, Montpellier, and Paris, whereas it has no significant effect in other cities. If we restrict the analysis to the professional business of Airbnb rentals, which we define as the lodgings owned by an investor who rents either several “entire home…

apartment pricebusiness.industrymedia_common.quotation_subject[SDV]Life Sciences [q-bio]05 social sciencesEconomic rentGeneral Social SciencesAirbnbHospitality industryspatial autocorrelationUrban tourismRentingrental market0502 economics and businessIndividual datahedonic model050211 marketingEconomic geographyBusinessAccommodation050212 sport leisure & tourismGeneral Environmental Sciencemedia_common
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Nonlinear impact estimation in spatial autoregressive models

2018

International audience; This paper extends the literature on the calculation and interpretation of impacts for spatial autoregressive models. Using a Bayesian framework, we show how the individual direct and indirect impacts associated with an exogenous variable introduced in a nonlinear way in such models can be computed, theoretically and empirically. Rather than averaging the individual impacts, we suggest to graphically analyze them along with their confidence intervals calculated from Markov chain Monte Carlo (MCMC). We also explicitly derive the form of the gap between individual impacts in the spatial autoregressive model and the corresponding model without a spatial lag and show, in…

Economics and Econometrics[SDV]Life Sciences [q-bio]Lag0507 social and economic geographysymbols.namesake0502 economics and businessEconometricsMarginal impacts050207 economicsSpatial econometricsMathematics05 social sciencesMarkov chain Monte Carlo[SHS.ECO]Humanities and Social Sciences/Economics and FinanceSplineConfidence intervalMarkov chain Monte CarloSpline (mathematics)Nonlinear systemAutoregressive model13. Climate actionsymbolsBayesian frameworkSpatial econometrics050703 geographyFinanceEconomics Letters
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Supplemental Material, Appendices_IRSR - Does Airbnb Disrupt the Private Rental Market? An Empirical Analysis for French Cities

2019

Supplemental Material, Appendices_IRSR for Does Airbnb Disrupt the Private Rental Market? An Empirical Analysis for French Cities by Kassoum Ayouba, Marie-Laure Breuillé, Camille Grivault, and Julie Le Gallo in International Regional Science Review

FOS: Social and economic geographyGeography120599 Urban and Regional Planning not elsewhere classified
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sj-pdf-1-epb-10.1177_2399808320977877 - Supplemental material for The spatial dimension of the French private rental markets: Evidence from microgeog…

2020

Supplemental material, sj-pdf-1-epb-10.1177_2399808320977877 for The spatial dimension of the French private rental markets: Evidence from microgeographic data in 2015 by Kassoum Ayouba, Marie-Laure Breuillé, Camille Grivault and Julie Le Gallo in Environment and Planning B: Urban Analytics and City Science

FOS: Social and economic geographyGeography120599 Urban and Regional Planning not elsewhere classified
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