Search results for " panel data"

showing 10 items of 24 documents

Unveiling the Antecedents of International Diversification: An Agency Theory Approach

2014

While various studies have developed hypotheses about the antecedents of international diversification drawing mainly on the resource-based view, the behavioral theory of the firm, and the transaction costs literature, we advance our understanding by investigating the explanatory power of agency costs of free cash flow arguments. Using a sample panel of 167 Italian firms longitudinally evaluated during the 1980-2010 period, this study tests whether the firm’s choice to spread operations in multiple foreign countries is conditioned by excess of free cash flow and debt, especially in firm-contexts where agency problems are exacerbated by managers or large shareholders’ opportunism. We find th…

Agency Theory; International Diversification; Panel Data AnalysisActuarial scienceFree cash flowmedia_common.quotation_subjectAgency TheoryAgency costDiversification (finance)Principal–agent problemGeneral MedicineMonetary economicsSettore SECS-P/08 - Economia e Gestione delle ImpresePanel Data AnalysisCorporate GovernanceDebtInternational Diversification; Agency Theory; Corporate GovernanceOpportunismInternational DiversificationEconomicsCash flowExplanatory powermedia_common
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Unveiling the Antecedents of International Diversification: An Agency Theory Approach

2014

While various studies have developed hypotheses about the antecedents of international diversification drawing mainly on the resource-based view, the behavioral theory of the firm, and the transaction costs literature, we advance our understanding by investigating the explanatory power of agency costs of free cash flow arguments. Using a sample panel of 167 Italian firms longitudinally evaluated during the 1980-2010 period, this study tests whether the firm’s choice to spread operations in multiple foreign countries is conditioned by excess of free cash flow and debt, especially in firm-contexts where agency problems are exacerbated by managers or large shareholders’ opportunism. We find th…

Agency Theory; International Diversification; Panel Data AnalysisAgency TheoryInternational DiversificationSettore SECS-P/08 - Economia e Gestione delle ImpresePanel Data Analysis
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New Evidence of the Real Interest Rate Parity for OECD Countries Using Panel Unit Root Tests with Breaks

2006

This paper tests for real interest parity (RIRP) among the nineteen major OECD countries over the period 1978:Q2-1998:Q4. The econometric methods applied consist of combining the use of several unit root or stationarity tests designed for panels valid under cross-section dependence and presence of multiple structural breaks. Our results strongly support the fulfillment of the weak version of the RIRP for the studied period once dependence and structural breaks are accounted for.

Econometric methodsEconomicsEconometricsjel:F21jel:F32jel:C32Unit rootOecd countriesjel:C33Real interest rateParity (mathematics)Real interest rate parity economic integration panel data unit root tests structural breaks cross-section dependenceSSRN Electronic Journal
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RENT CREATION AND RENT SHARING: NEW MEASURES AND IMPACTS ON TOTAL FACTOR PRODUCTIVITY

2019

International audience; This analysis proposes new measures of rent creation and rent sharing and assesses their impact on productivity on cross-country-industry panel data. We find first that: (1) anticompetitive product market regulations positively affect rent creation and (2) employment protection legislation boosts hourly wages, particularly for low-skill workers. However, we find no significant impact of this employment legislation on rent sharing, as the hourly wage increases are offset by a negative impact on hours worked. Second, using regulation indicators as instruments, we find that rent creation and rent sharing both have a substantial negative impact on total factor productivi…

Economics and EconometricsLabour economicsProduct marketEmployment protection legislationMARKET REGULATIONSINNOVATIONmedia_common.quotation_subjectJEL: E - Macroeconomics and Monetary Economics/E.E2 - Consumption Saving Production Investment Labor Markets and Informal Economy/E.E2.E22 - Investment • Capital • Intangible Capital • Capacityo47 - "Measurement of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence"COMPETITIONo25 - Industrial Policylabor market regulationsPANELCompetition (economics)TFPMeasurement of Economic Growth; Aggregate Productivity; Cross-Country Output ConvergenceCapital; Investment; Capacitye24 - "Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital"0502 economics and businessEconomicso30 - "Technological Change; Research and Development; Intellectual Property Rights: General"JEL: O - Economic Development Innovation Technological Change and Growth/O.O4 - Economic Growth and Aggregate Productivity/O.O4.O47 - Empirical Studies of Economic Growth • Aggregate Productivity • Cross-Country Output Convergence050207 economicsProductivityTotal factor productivityTechnological Change; Research and Development; Intellectual Property Rights: GeneralJEL: E - Macroeconomics and Monetary Economics/E.E2 - Consumption Saving Production Investment Labor Markets and Informal Economy/E.E2.E24 - Employment • Unemployment • Wages • Intergenerational Income Distribution • Aggregate Human Capital • Aggregate Labor Productivity050205 econometrics media_commonJEL: C - Mathematical and Quantitative Methods/C.C2 - Single Equation Models • Single Variables/C.C2.C23 - Panel Data Models • Spatio-temporal Modelsmark-up05 social sciencesIndustrial Policy[SHS.ECO]Humanities and Social Sciences/Economics and FinanceInvestment (macroeconomics)General Business Management and Accountingrent-sharingJEL: O - Economic Development Innovation Technological Change and Growth/O.O4 - Economic Growth and Aggregate Productivity/O.O4.O43 - Institutions and Growth8. Economic growthUnemploymento43 - Institutions and GrowthEmployment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capitale22 - "Capital; Investment; Capacity"JEL: L - Industrial Organization/L.L5 - Regulation and Industrial Policy/L.L5.L50 - GeneralJEL: O - Economic Development Innovation Technological Change and Growth/O.O3 - Innovation • Research and Development • Technological Change • Intellectual Property Rights/O.O3.O30 - GeneralInstitutions and Growthproduct market regulationsPanel dataEconomic Inquiry
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Modeling temporal treatment effects with zero inflated semi-parametric regression models: The case of local development policies in France

2017

International audience; A semi-parametric approach is proposed to estimate the variation along time of the effects of two distinct public policies that were devoted to boost rural development in France over a similar period of time. At a micro data level, it is often observed that the dependent variable, such as local employment, does not vary along time, so that we face a kind of zero inflated phenomenon that cannot be dealt with a continuous response model. We introduce a conditional mixture model which combines a mass at zero and a continuous response. The suggested zero inflated semi-parametric statistical approach relies on the flexibility and modularity of additive models with the abi…

FOS: Computer and information sciencesEconomics and EconometricsLocal Developmentsemiparametric regressiondifferencePublic policyselection01 natural sciencesStatistics - Applicationslocal developmentpanel data010104 statistics & probabilityEconomica0502 economics and businessEconometricsApplications (stat.AP)0101 mathematics[MATH]Mathematics [math]Additive modelsemi-parametric regressionenterprise zonespropensity scoreJEL Classification: C14 C23 C54 O18050205 econometrics Mathematicsinferencesmoothing parametertemporal effects05 social sciencesSH1_2SH1_6multiple treatmentspolicy evaluation[SHS.ECO]Humanities and Social Sciences/Economics and FinanceZero (linguistics)Rural developmentVariation (linguistics)asymptoticsmixture of distributionsSemi parametric regressionAdditive modelsPanel dataAdditive models; local development; mixture of distributions; multiple treatments; panel data; policy evaluation; semiparametric regression; temporal effects
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An ensemble approach to short-term forecast of COVID-19 intensive care occupancy in Italian Regions

2020

Abstract The availability of intensive care beds during the COVID‐19 epidemic is crucial to guarantee the best possible treatment to severely affected patients. In this work we show a simple strategy for short‐term prediction of COVID‐19 intensive care unit (ICU) beds, that has proved very effective during the Italian outbreak in February to May 2020. Our approach is based on an optimal ensemble of two simple methods: a generalized linear mixed regression model, which pools information over different areas, and an area‐specific nonstationary integer autoregressive methodology. Optimal weights are estimated using a leave‐last‐out rationale. The approach has been set up and validated during t…

FOS: Computer and information sciencesStatistics and ProbabilityTime FactorsOccupancyCoronavirus disease 2019 (COVID-19)Computer science01 natural sciencesGeneralized linear mixed modelSARS‐CoV‐2law.inventionclustered data; COVID-19; generalized linear mixed model; integer autoregressive; integer autoregressive model; panel data; SARS-CoV-2; weighted ensembleMethodology (stat.ME)panel data010104 statistics & probability03 medical and health sciences0302 clinical medicinelawCOVID‐19Intensive careEconometricsHumansclustered data030212 general & internal medicine0101 mathematicsPandemicsStatistics - MethodologySARS-CoV-2Reproducibility of ResultsCOVID-19General Medicineweighted ensembleIntensive care unitResearch PapersTerm (time)integer autoregressiveIntensive Care UnitsAutoregressive modelItalyNonlinear Dynamicsgeneralized linear mixed modelinteger autoregressive modelclustered data; COVID-19; generalized linear mixed model; integer autoregressive; integer autoregressive model; panel data; SARS-CoV-2; weighted ensemble; COVID-19; Humans; Intensive Care Units; Italy; Nonlinear Dynamics; Pandemics; Reproducibility of Results; Time Factors; ForecastingStatistics Probability and UncertaintySettore SECS-S/01Settore SECS-S/01 - StatisticaPanel dataResearch PaperForecasting
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Pecking Order Versus Trade-off: An Empirical Approach to the Small and Medium Enterprise Capital Structure

2003

In this paper, we explore two of the most relevant theories that explain financial policy in small and medium enterprises (SMEs): pecking order theory and trade-off theory. Panel data methodology is used to test the empirical hypotheses over a sample of 6482 Spanish SMEs during the five-year period 1994?1998. The results suggest that both theoretical approaches contribute to explain capital structure in SMEs. However, while we find evidence that SMEs attempt to achieve a target or optimum leverage (trade-off model), there is less support for the view that SMEs adjust their leverage level to their financing requirements (pecking order model). En este trabajo, exploramos dos de las teorías má…

FinanceCapital structurebusiness.industryPecking orderjel:C34Sample (statistics)Trade-offjel:G32jel:G33MicroeconomicsLeverage (negotiation)Pecking order theoryEconomicsSmall and medium-sized enterprisesbusinessselección jerárquica equilibrio estático estructura de capital pymes datos de panel. Pecking Order Trade-off Capital Structure Small and Medium Enterprises Panel Data.Panel dataSSRN Electronic Journal
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Hotel chain performance: a gravity-DEA approach

2011

Performance in business management can be measured in terms of competitiveness and efficiency. Generally speaking, competitiveness is a comparative concept of the ability of a firm, sub-sector or country to sell and supply goods and/or services in a given market, as measured by its market share. Particularly in competitive markets, efficiency plays a key role in determining this ability but it is not, by itself, sufficient. Indeed, while competitiveness has more to do with “pursuing the correct strategy” towards the conservation and/or increase of the market share, operational efficiency is mainly a measure of how well the firm, sub-sector or country under study processes inputs to achieve …

Gravity model DEA-window Malmquist index dynamic panel data hotel chain performanceContext (language use)Production–possibility frontierChain (unit)Competitiveness efficiency Gravity model DEA Window Malmquist index.Settore SECS-S/06 -Metodi Mat. dell'Economia e d. Scienze Attuariali e Finanz.Gravity model of tradeData envelopment analysisOperational efficiencyBusinessGravity model DEA Window Malmquist index dynamic panel data hotel chain performanceMarket shareMalmquist indexIndustrial organization
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Interest rate co-movements, global factors and the long end of the term spread

2012

The disconnect between rising short and low long interest rates has been a distinctive feature of the 2000s. Both research and policy circles have argued that international forces, such as global monetary policy (e.g. Rogoff, 2006); international business cycles (e.g. Borio and Filardo, 2007); or a global savings glut (e.g Bernanke, 2005) may be responsible. In this paper, we employ recent advances in panel data econometrics to document the disconnect and link it explicitly to the existence of a global latent factor that dominates the long end of the term spread for the recent period; the saving glut story emerges as the most likely contender for the global factor.

InflationEconomics and Econometricsmedia_common.quotation_subjectYield (finance)jel:E43Short interest rates Long interest rateInternational economicsjel:C33Short and Long Interest Rates Financial Globalization Panel Data Factor Modelsjel:F36Factor modelsHGjel:F01Term (time)Interest ratejel:G15EconomicsEmerging marketsFinanceFinancial globalizationPanel dataPanel dataFactor analysismedia_commonFinancial globalizationJournal of Banking & Finance
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Interest rate co-movements, global factors and the long end of the term spread

2010

Interest Rates Panel Data Factor Models Terms Spread
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