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with discrete and continuous choice variables. The solution method we develop for structural estimation extends the en … estimator for structural estimation of a life-cycle model of con- sumption with discrete retirement decisions. …
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We implement a long-horizon static and dynamic portfolio allocation involving a risk-free and a risky asset. This model is calibrated at a quarterly frequency for ten European countries. We also use maximum-likelihood estimates and Bayesian estimates to account for parameter uncertainty. We find...
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-d.In this work we consider two identification procedures: the first one follows the classical estimation for SETAR models, the …
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estimation properties of the method and test its predictive power on S&P 500 option data, comparing it as well with other recent …
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We derive and empirically apply an input-oriented distance function based on the stochastic ray production function suggested by L¨othgren (1997, 2000). We show that the derived ray-based input distance function is suitable for modeling production technologies based on logarithmic functional...
Persistent link: https://www.econbiz.de/10013253645
Recent studies have proposed a large set of powerful characteristics-based factors in the stock market. This study examines the pricing of these factors using portfolios that are formed by directly sorting stocks based on their exposure to these factors. These beta-sorted portfolios have very...
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