Showing 1 - 10 of 3,747
-likelihood methods weighted by the inverse of the IV propensity score - so-called inverse probability weighted regression adjustment …
Persistent link: https://www.econbiz.de/10013457343
in the data can be calculated with local polynomial regression. A change in the sign of the slope can be interpreted as a …
Persistent link: https://www.econbiz.de/10011450892
Quarterly GDP figures usually are published with a delay of some weeks. A common way to generate GDP series of higher frequency, i.e. to nowcast GDP, is to use available indicators to calculate a single index by means of a common factor derived from a dynamic factor model (DFM). This paper deals...
Persistent link: https://www.econbiz.de/10010229863
context of linear regression models, penalised regression has become the de facto benchmark technique used to trade off … number of advantages over the penalised regression methods: It is based on statistical inference and is therefore easier to …
Persistent link: https://www.econbiz.de/10011444508
We introduce the technique of band spectral panel regression (BSPR) to analyze global linkages across sectors and …
Persistent link: https://www.econbiz.de/10014485646
that increased attention to influential sets is warranted and comprehensive robustness measures for regression analysis are …
Persistent link: https://www.econbiz.de/10012494906
logistic regression (parametric) and one model using Classification and Regression Trees (CART, nonparametric). The models are …
Persistent link: https://www.econbiz.de/10003910674
We propose an estimation strategy that accounts for two major problems raised in the empirical literature testing for the prevalence of the inverted U-shaped relation between environmental degradation and economic activity, namely the Environmental Kuznets Curve (EKC) hypothesis. First, we use...
Persistent link: https://www.econbiz.de/10011447524
regression that only includes the regressor of interest. …
Persistent link: https://www.econbiz.de/10010199754
This paper is concerned with problem of variable selection and forecasting in the presence of parameter instability. There are a number of approaches proposed for forecasting in the presence of breaks, including the use of rolling windows or exponential down-weighting. However, these studies...
Persistent link: https://www.econbiz.de/10012258549