In this paper, I calculate the semiparametric information bound in two dynamic panel data logit models with individual specific effects. In such a model without any other regressors, it is well known ...
The Dynamic Regressor option allows you to specify a complex time series model of the way that a predictor variable influences the series that you are forecasting. When you specify a predictor ...
A methodology is introduced for identifying dynamic regression or distributed lag models relating two time series. First, specification of a bivariate time-series model is discussed, and its ...
Use the Dynamic Regression Specification window to specify a dynamic regression or transfer function model for the effect of the predictor variable. It is invoked from the Dynamic Regressors Selection ...
Abstract: Traditional multivariate statistical process monitoring algorithms focus on whether measurements are significantly shifted compared with the training data, but lack further analysis of the ...
Abstract: Photovoltaic (PV) systems are integral to renewable energy, demanding accurate performance modeling for optimal functionality. This paper presents a pragmatic, data-driven approach employing ...
This Selected Issues paper explores the medium-term determinants of the current account balance in Papua New Guinea. It provides an assessment of the exchange rate, and presents some background on ...
1 College of Geography and Environmental Sciences, Hainan Normal University, Haikou, China 2 School of Public Administration and Law, Hunan Agricultural University, Changsha, China Comprehensively ...
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