J
José M. Labeaga
Researcher at National University of Distance Education
Publications - 105
Citations - 2776
José M. Labeaga is an academic researcher from National University of Distance Education. The author has contributed to research in topics: Consumption (economics) & Panel data. The author has an hindex of 28, co-authored 102 publications receiving 2500 citations. Previous affiliations of José M. Labeaga include University of Vigo & University College London.
Papers
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A meta-analysis on the price elasticity of energy demand
TL;DR: The authors quantitatively summarizes the recent, but sizeable, empirical evidence to facilitate a sounder economic assessment of (in some cases, policy-related) energy price changes, using meta-analysis to identify the main factors affecting short and long term elasticity results for energy, in general, as well as for specific products.
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A double-hurdle rational addiction model with heterogeneity: Estimating the demand for tobacco
TL;DR: In this article, the authors estimate a tobacco consumption rational addiction model with panel data, using a double-hurdle specification after testing that the factors governing the consumption equation are not the same as those that govern the participation equation.
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Combining input‐output analysis and micro‐simulation to assess the effects of carbon taxation on Spanish households
TL;DR: In this paper, the effects of carbon tax on Spanish energy-related CO2 emissions were investigated. But the authors focused on the short-run reaction to the carbon tax, which hampers the country's environmental success.
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Product and process innovation: Persistence and complementarities
TL;DR: In this article, the authors explored the role of persistence in the decision of firms to implement product and process innovations and to develop those innovations and demonstrated that persistence is important in both innovation decisions.
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Latent Class versus Two‐Part Models in the Demand for Physician Services Across the European Union
TL;DR: Demand for physician services equations for 12 European countries is estimated using three waves of data from the European Community Household Panel to suggest the selection of the most appropriate econometric specification for visits to general practitioners and to specialists among two-part and latent class models.