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Power system planning, reliability analysis and economically efficient capacity scheduling all rely heavily on electricity demand forecasting models. In the context of a deregulated wholesale electric...
In parametric, nonlinear structural models, a classical sufficient condition for local identification, like Fisher (1966) and Rothenberg (1971), is that the vector of moment conditions is differentiab...
To better understand the spatial structure of large panels of economic and nancial time series and provide a guideline for constructing semiparametric models, this paper rst consid- ers estimating...
We study quantile regression estimation for dynamic models with partially varying coefficients so that the values of some coefficients may be functions of informative covariates. Estimation of both pa...
This paper considers semiparametric estimation of a nonstationary transformation model with panel data. While nonstationarity is a common phenomenon in applied research, one of the drawbacks of most e...

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