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regression model. Asymptotic distribution theory is developed for the estimation method which enjoys the same rate of convergence … as univariate function estimation. For the test statistic, asymptotic normal theory is established. These theoretical …We propose marginal integration estimation and testing methods for the coefficients of varying coefficient multivariate …
Persistent link: https://www.econbiz.de/10009627286
It is argued that standard impulse response analysis based on vector autoregressive models has a number of shortcomings. Although the impulse responses are estimated quantities, measures for sampling variability such as confidence intervals are often not provided. If confidence intervals are...
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the price of a commodity, currency or similar quantity. Interval estimation and hypothesis testing for H are central to …
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problem of online estimation of current values of w = w(T) and a = a(T) from the observations SI , ... ,ST. We propose an … adaptive method of estimation which does not use any information about time homogeneity of the obscured process. We apply this …
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series with a zero spectral density at some frequency. Estimation and inference can be performed using an Instrumental … an analysis of the comovement between Germany, Austria and the United Kingdom is presented. -- common feature analysis …
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exchange rate. The separate estimation of long-run money demands leads to a "structural" error correction equation which allows …
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dealing with more than one lag. When the mean has an additive structure, however, better estimation methods are available … estimation of the conditional mean, it is equally if not more important to measure the future risk of the series along with the … interpretation of each lagged value's influence on such a function. In this paper we consider the joint estimation of both the …
Persistent link: https://www.econbiz.de/10009578559