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(1993) and Im, Pesaran and Shin (1997) suggest bias adjusted t-statistics. Such corrections are necessary to account for the … affected by two different terms. The first term represents the asymptotic effect on the bias due the detrending method and the … do not require a bias correction. The results of a Monte Carlo experiment suggest that avoiding the bias can improve the …
Persistent link: https://www.econbiz.de/10009581103
There are three major points to this article: 1. Measurement error causes biases in regression fits. The line one would obtain if one could accurately measure exposure to environmental lead media will differ in important ways when one measures exposure with error. 2. The effects of measurement...
Persistent link: https://www.econbiz.de/10009631751
Background: Studies from several countries have shown that self-rated health is an independent predictor of mortality …. However, no empirical evidence exists for Germany so far. We investigate the effectiveness of (i) self-ratings of health by … individuals and (ii) changes in self-rated health, as predictors of mortality for Germany. Methods: A sub-sample of 3 …
Persistent link: https://www.econbiz.de/10009626677
We consider an additive model with second order interaction terms. It is shown how the components of this model can be estimated using marginal integration, and the asymptotic distribution of the estimators is derived. Moreover, two test statistics for testing the presence of interactions are...
Persistent link: https://www.econbiz.de/10009574875
In this paper we study nonparametric estimation and hypothesis testing procedures for the functional coefficient AR (FAR) models of the form Xt = f1(Xt-d)Xt-1 +…+ fp(Xt-d)Xt-p +εt, first proposed by Chen and Tsay (1993). As a direct generalization of the linear AR model, the FAR model is a...
Persistent link: https://www.econbiz.de/10009574879
derive the asymptotic distribution of the DEA estimator, which enables us to assess the asymptotic bias and hence to propose … an improved bias corrected estimator. This bias corrected estimator involves consistent estimation of the density … confidence intervals. The finite sample performance of the bias corrected estimator is investigated via a simulation study and …
Persistent link: https://www.econbiz.de/10009574880
Search for an unknown set A,Card(A) = s, of significant variables of a linear model with random IID discrete binary carriers and finitely supported IID noise is studied. Two statistics T1, Ts, based on maximization of Shannon Information (SI) of the corresponding classes of joint empirical...
Persistent link: https://www.econbiz.de/10009574888
We propose a method of adaptive estimation of a regression function and which is near optimal in the classical sense of the mean integrated error. At the same time, the estimator is shown to be very sensitive to discontinuities or change-points of the underlying function f or its derivatives....
Persistent link: https://www.econbiz.de/10009574890
We show in the paper that the decomposition proposed by Beveridge and Nelson (1981) for models that are integrated of order one can be generalized to seasonal Arima models by means of a partial fraction decomposition. Two equivalent algorithms are proposed to optimally (in the mean squared...
Persistent link: https://www.econbiz.de/10009577456
This methodological paper discusses the application of "adaptive" non-parametric procedures for estimating regression functions or contrasts in situations with quantitative regressands and qualitative regressors. We propose to apply an adaptive regressogram, that is the selection of a...
Persistent link: https://www.econbiz.de/10009577458