than by GARCH type volatility estimates. The t-DCC estimation procedure is applied to a portfolio of daily returns on …-DCC specification. The t-DCC model also passes a number of VaR diagnostic tests over an evaluation sample. The estimation results … suggest a general trend towards a lower level of return volatility, accompanied by a rising trend in conditional cross …

This paper develops a simulation estimation algorithm that is particularly useful for estimating dynamic panel data …

What is the relationship between economic growth and its volatility? Does political instability affect growth directly … or indirectly, through volatility? This paper tries to answer such questions using a power-ARCH framework with annual … legislative changes) has an indirect (through volatility) negative impact. We also find preliminary support for the idea that …

semiparametric estimation and identification of scalar additive hedonic models (Ekeland, Heckman, and Nesheim, 2002) and scalar … provide evidence on the performance of several estimation techniques. We also simulate examples of equilibria in nonadditive … models and provide evidence on the performance of the nonadditive estimation techniques developed in Heckman, Matzkin, and …

averaging over forecasts from different models. Second, we look at different estimation windows. We find that averaging over … estimation windows is at least as effective as averaging over different models and both complement each other. Third, we explore …

simple simulation experiments. …