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This is the value of the control rule which would be used if one treated ,d as known with certainty and equal to the least squares estimate. We call this rule the least squares certainty equivalence...
We present a methodology for estimating the distributional e ects of an endogenous treatment that varies at the group level when there are group-level unobservables, a quantile extension of Hausman a...
In the contribution, there is discussed the usage of the method based on the grammatical and differential evolution for the automatic discovery of regression models for discrete datasets. The combinat...
The influence of economic and demographic variables on the annual electricity consumption in Italy has been investigated with the intention to develop a long-term consumption forecasting model. The ti...
The determinants of health care use among rural, low-income mothers and their children were assessed using a multi-state, longitudinal data set, Rural Families Speak. The results indicate that rural m...
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...
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...
The determinants of health care use among rural, low-income mothers and their children were assessed using a multi-state, longitudinal data set, Rural Families Speak. The results indicate that rural m...
This paper advocates a spatial dynamic model that introduces technology diffusion, factor mobility, and structural change into the cross-region growth regression. The spatial setting is derived from t...
This paper revisits the fractional cointegrating relationship between ex-ante implied volatil-ity and ex-post realized volatility. We argue that the concept of corridor implied volatility (CIV) should...

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