Search results for "regressions"

showing 10 items of 22 documents

Forecasting correlated time series with exponential smoothing models

2011

Abstract This paper presents the Bayesian analysis of a general multivariate exponential smoothing model that allows us to forecast time series jointly, subject to correlated random disturbances. The general multivariate model, which can be formulated as a seemingly unrelated regression model, includes the previously studied homogeneous multivariate Holt-Winters’ model as a special case when all of the univariate series share a common structure. MCMC simulation techniques are required in order to approach the non-analytically tractable posterior distribution of the model parameters. The predictive distribution is then estimated using Monte Carlo integration. A Bayesian model selection crite…

Multivariate statisticsMathematical optimizationsymbols.namesakeModel selectionExponential smoothingPosterior probabilitysymbolsUnivariateMarkov chain Monte CarloBusiness and International ManagementSeemingly unrelated regressionsBayesian inferenceMathematicsInternational Journal of Forecasting
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Interactions, spillovers de connaissance et croissance des économies modernes. Faut-il préférer la globalisation ou la proximité géographique ?

2009

Globalisation and metropolisation in modern economies induce some locational strategies of knowledge based activities towards cities and deeply increase trade and move of ideas across cities. In that context, we study the way knowledge spillovers have influenced the economic growth of 82 European Metropolises over the 1990-2005 period. We model knowledge spillovers across cities according to three specific interaction patterns depending either on geography or on global advanced services or thought a combination of these patterns. We show that the mixed pattern matters the best for economic growth of cities in Europe.

modern economiesJEL: C - Mathematical and Quantitative Methods/C.C2 - Single Equation Models • Single Variables/C.C2.C21 - Cross-Sectional Models • Spatial Models • Treatment Effect Models • Quantile RegressionsO4JEL : C - Mathematical and Quantitative Methods/C.C2 - Single Equation Models • Single Variables/C.C2.C21 - Cross-Sectional Models • Spatial Models • Treatment Effect Models • Quantile Regressionsurban climate C31JEL : R - Urban Rural Regional Real Estate and Transportation Economics/R.R1 - General Regional Economics/R.R1.R12 - Size and Spatial Distributions of Regional Economic Activityclimat des affaires[ SHS.ECO ] Humanities and Social Sciences/Economies and financesJEL: O - Economic Development Innovation Technological Change and Growth/O.O4 - Economic Growth and Aggregate Productivity[SHS.ECO] Humanities and Social Sciences/Economics and Financecroissance urbainejel:C31JEL: R - Urban Rural Regional Real Estate and Transportation Economics/R.R1 - General Regional Economics/R.R1.R11 - Regional Economic Activity: Growth Development Environmental Issues and Changes[SHS.ECO]Humanities and Social Sciences/Economics and FinanceJEL : R - Urban Rural Regional Real Estate and Transportation Economics/R.R1 - General Regional Economics/R.R1.R11 - Regional Economic Activity: Growth Development Environmental Issues and ChangesR11R12jel:O4metropolisesmétropolesJEL: R - Urban Rural Regional Real Estate and Transportation Economics/R.R1 - General Regional Economics/R.R1.R12 - Size and Spatial Distributions of Regional Economic Activityurban growthspatial interactionsinteractions spatialesjel:R12jel:R11économies modernesmodern economiesurban growthmetropolisesspatial interactionsurban climate C31O4R11R12croissance urbainemétropolesinteractions spatialesclimat des affaireséconomies modernesJEL : O - Economic Development Innovation Technological Change and Growth/O.O4 - Economic Growth and Aggregate Productivity
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Analysis of the determinants of entrepreneurial intention: the case of Burkina Faso

2018

International audience; In this study, we propose to analyze students' entrepreneurial intention, drawing on Lazear's (2004) self-selection model. This model captures the role of "human capital" in employment assignment and emphasizes the importance of the variety of skills in the individual's entrepreneurial orientation. For this purpose, we have a database collected in 2017 from over 1000 students at Ouaga I and Ouaga II universities in Burkina Faso. The results of estimates obtained using the quantile regression method show a positive and significant effect of the diversity of skills on the intention score, mainly at the median level. Even if the effect is not strong, this result support…

quantile regression.Entrepreneurial intentionstudentsJEL: J - Labor and Demographic Economics/J.J2 - Demand and Supply of Labor/J.J2.J24 - Human Capital • Skills • Occupational Choice • Labor Productivity[SHS.EDU]Humanities and Social Sciences/Education[SHS.EDU] Humanities and Social Sciences/Educationvariety of skillsJEL: L - Industrial Organization/L.L2 - Firm Objectives Organization and Behavior/L.L2.L26 - EntrepreneurshipJEL: 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 Finance[SHS.ECO]Humanities and Social Sciences/Economics and Finance
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Testing the stationarity of interest rates using a SUR approach

1998

Abstract Using data on average yields to maturity of German bonds with different time to maturity it is shown that the time series contain a unit root if the standard augmented Dickey–Fuller test is applied separately to each series. To improve the power of the test we carried out a recently developed approach, estimating the regressions for each time to maturity jointly using a seemingly unrelated regressions approach.

Economics and EconometricsSeries (mathematics)Unit root testStatisticsEconomicsEconometricsPhillips–Perron testUnit rootDickey–Fuller testSeemingly unrelated regressionsMaturity (finance)Augmented Dickey–Fuller testFinanceEconomics Letters
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Processing Information During Regressions: An Application of the Reverse Boundary-Change Paradigm.

2018

Although 10-15% of eye-movements during reading are regressions, we still know little about the information that is processed during regressive episodes. Here, we report an eye-movement study that uses what we call the "reverse boundary change technique" to examine the processing of lexical-semantic information during regressions, and to establish the role of this information during recovery from processing difficulty. In the critical condition of the experiment, an initially implausible sentence (e.g. "There was an old house that John had ridden when he was a boy.") was rendered plausible by changing a context word ("house") to a lexical neighbour ("horse") using a gaze-contingent display …

media_common.quotation_subjectlcsh:BF1-990regressionsContext (language use)050105 experimental psychologyBoundary (real estate)eye-movement control03 medical and health sciences0302 clinical medicinefixationsreadingReading (process)0501 psychology and cognitive sciencesGeneral Psychologymedia_commonPoint (typography)05 social scienceseye-movementsInformation processingEye movementsaccadesGazelcsh:PsychologyPsychology030217 neurology & neurosurgerySentenceCognitive psychologyFrontiers in psychology
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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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Urban segregation and unemployment: A case study of the urban area of Marseille – Aix-en-Provence (France)

2018

International audience; In this paper, we study the effects of the spatial organization of the urban area of Marseille – Aix-en-Provence on unemployment there. More specifically, differences in the characteristics of the residential population induce urban stratification with the result that urban structure may affect the probability of employment. In order to evaluate the effects of spatial structure on unemployment, we implement a spatial probit model to reveal the employment probabilities of young adults still living with their parents. Our results support the hypothesis that living in or near a deprived neighborhood decreases the probability of employment.

Economics and EconometricsEconomic growthmedia_common.quotation_subjectPopulation0211 other engineering and technologies02 engineering and technologyJEL: C - Mathematical and Quantitative Methods/C.C2 - Single Equation Models • Single Variables/C.C2.C21 - Cross-Sectional Models • Spatial Models • Treatment Effect Models • Quantile RegressionsUrban areaJEL: P - Economic Systems/P.P2 - Socialist Systems and Transitional Economies/P.P2.P25 - Urban Rural and Regional EconomicsSpatial probit modelProbit model0502 economics and business050207 economicseducationSpatial econometricsSpatial organizationmedia_commoneducation.field_of_studyUrban segregationgeography.geographical_feature_categorySpatial structure05 social sciences021107 urban & regional planning[SHS.ECO]Humanities and Social Sciences/Economics and FinanceUrban structureUrban StudiesGeographyUnemploymentUnemploymentJEL: R - Urban Rural Regional Real Estate and Transportation Economics/R.R2 - Household Analysis/R.R2.R23 - Regional Migration • Regional Labor Markets • Population • Neighborhood CharacteristicsDemographic economicsSpatial econometrics
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The role of informal learning in adults' literacy proficiency

2021

This study used the Programme for International Assessment of Adult Competencies (PIAAC) dataset to examine informal literacy learning’s effects on adults’ literacy proficiency. Also, the factors associated with informal literacy learning at and outside of work were studied. The study participants were Nordic adults aged 35–65 years. The statistical method was regression analysis, and the results indicate that informal literacy activities at work are associated primarily with occupation, and informal literacy activities outside of work with education, parents’ education and gender. Initial education, occupation, language background and age exerted the strongest estimated associations with r…

LeseverhaltenErwachsenenbildungDenmarkNordeuropaSchreib- und LesefähigkeitArbeitsplatzInformal educationEinflussfaktorLiteracylukeminenTätigkeitDevelopmental psychologyAdult educationlukuharrastusReading (process)PIAACAdult literacyEmpirische BildungsforschungBildung und ErziehungaikuisetLesekompetenzFinlandmedia_commonNorwegeninformal learninglearningNorwayReading competenceDänemarkSpecial aspects of educationadult literacyVocational Training Adult EducationWork (electrical)PIAAC <Programme for the International Assessment of Adult Competencies>PsychologyRegression analysisvapaa-aikaAdultInformal educationInformal learningErziehung Schul- und Bildungswesenlearning to readmedia_common.quotation_subjectLifelong learningAdult trainingLernenEducationBildungswesen quartärer Bereich BerufsbildungErwachsenerworkddc:370Lebenslanges LernenLiteracyreadingErwachsenenbildung / WeiterbildungLife long learningAlphabetisierungtyöelämäSupport for reading improvementLiteracy learningPromotion of readingSwedenLifelong learningLC8-6691Adult literacy; reading activities; Programme for International Assessment of Adult Competencies (PIAAC) Round 1reading activitiesInformal learningInformelles LernenLeseförderungAdult educationinformaali oppiminenFinnlandreading behaviorRegressionsanalyselukutaitoLesenLife-long learning10600LesenlernenSchweden
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Productivity analysis of Latvian companies using ORBIS database

2021

International audience; This research study uses ORBIS microdata at the company level to analyse productivity of 167 thousand economically active Latvian companies over 2011-2018. The aim of the study is twofold-to find factors consistently associated with productivity at the company level; and to recommend possible criteria for companies to receive a state support (from the view of enhancing aggregate productivity in the long term). Our research results show that productivity of Latvian companies is positively related to their size, age, as well as location closer to Riga and other big cities. However, there is a substantial within-group variation in productivity between companies. Multiva…

JEL: C - Mathematical and Quantitative Methods/C.C3 - Multiple or Simultaneous Equation Models • Multiple Variables/C.C3.C31 - Cross-Sectional Models • Spatial Models • Treatment Effect Models • Quantile Regressions • Social Interaction Modelsproductivitycompany agemicro dataJEL: R - Urban Rural Regional Real Estate and Transportation Economics/R.R3 - Real Estate Markets Spatial Production Analysis and Firm Location/R.R3.R32 - Other Spatial Production and Pricing Analysiscompany size[SHS.ECO]Humanities and Social Sciences/Economics and FinanceORBIScompany location:SOCIAL SCIENCES [Research Subject Categories]JEL: L - Industrial Organization/L.L6 - Industry Studies: Manufacturing/L.L6.L60 - General
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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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