Persona:
Labeaga Azcona, José María

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Labeaga Azcona
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José María
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2009 - 200912020 - 20231
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Mostrando 1 - 2 de 2
  • Miniatura
    Publicación
    Housing deprivation and health status: evidence from Spain
    (Springer, 2009) Navarro Ruiz, Carolina; Ayala Cañón, Luis; Labeaga Azcona, José María
    Living in inadequate housing conditions not only supposes a failure of a basic functioning. It also has effects on other essential aspects of well-being such as health. This study questions to what extent living in poor housing conditions can determine individuals’ health status once the possible influence of other factors is controlled for. By estimating a logistic model with individual effects and a housing deprivation index based on a latent variable model, we reach a number of relevant conclusions concerning the relationship between these two different dimensions of multidimensional well-being. We find a negative effect of housing deprivation on the individuals’ health, both when housing conditions are introduced in a disaggregated manner in the model and when they are combined in a latent variable.
  • Miniatura
    Publicación
    Cointegration between high base metals prices and backwardation: Getting ready for the metals super-cycle
    (Elsevier, 2023-03) Galán Gutiérrez, Juan Antonio; Labeaga Azcona, José María; Martín García, Rodrigo
    This paper is devoted to test agents’ behavior in the markets of hard commodities by trying to distinguish between managing future price structures to hedge their positions and speculating in on prices. We do a triple analysis: cointegration on the time series, structural breaks over the full time series and panel data. The analysis of the full series and the identification of structural breaks allows us to discover the connection between high prices and the negative futures price structure (backwardation) in rising prices scenarios of tin, copper, aluminium, and zinc. Moreover, we obtain that the base metals full matrix (price and futures price structure) is cointegrated in our analysis that uses panel data methods. We believe that these results are important for agents in the markets, as commodity traders or brokers, to maximize profits in their hedging positions.