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The purpose of this study is to investigate the causal linkages between the Spanish electricity, Brent crude oil and Zeebrugge (Belgium) natural gas 1-month-ahead forward prices. Following Lütkepohl et al. (2004), we control for the presence of a structural change in the series and then we use...
Persistent link: https://www.econbiz.de/10014202469
The aim of our contribution relies on studying the possibility of implementing a genetic algorithm in order to reproduce some characteristics of a simple laboratory experiment with human subjects. The novelty of our paper regards the estimation of the key-parameters of the algorithm, and the...
Persistent link: https://www.econbiz.de/10008540103
Estimation and modelling problems as they arise in many fields often turn out to be intractable by standard numerical methods. One way to deal with such a situation consists in simplifying models and procedures. However, the solutions to these simplified problems might not be satisfying. A...
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Risk neutral densities (RND) can be used to forecast the price of the underlying basis for the option, or it may be used to price other derivates based on the same sequence. The method adopted in this paper to calculate the RND is to firts estimate daily the diffusion process of the underlying...
Persistent link: https://www.econbiz.de/10001656178
This paper examines the role of peer effects in smoking behavior using data of middle and high school students in the United States. I present a random utility model that explicitly incorporates complementarity between individual and peer smokings. A Markov process model of smoking interactions...
Persistent link: https://www.econbiz.de/10001990751
We describe a tractable way to jointly study macroeconomic quantities, welfare and asset prices in real business cycle models featuring affine structure of shocks and Epstein-Zin-Weil preferences. Our solution is analytical, log-linearized and adjusted for risk by exploiting log-normality....
Persistent link: https://www.econbiz.de/10014182308
This paper presents a framework to undertake likelihood-based inference in nonlinear dynamic equilibrium economies. The authors develop a sequential Monte Carlo algorithm that delivers an estimate of the likelihood function of the model using simulation methods. This likelihood can be used for...
Persistent link: https://www.econbiz.de/10014048588