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This paper considers the problem of parameter estimation in a general class of semiparametric models when observations are subject to missingness at random. The semiparametric models allow for estimating functions that are non-smooth with respect to the parameter. We propose a nonparametric...
Persistent link: https://www.econbiz.de/10011109911
compares very favorably to bootstrap bias-correction, both in terms of bias and mean squared error. In non-stationary models …
Persistent link: https://www.econbiz.de/10010752061
model checking. A residual-based bootstrap method is provided and demonstrated as an effective way to approximate the …
Persistent link: https://www.econbiz.de/10010674374
In this paper we propose a test for a set of linear restrictions in a Vector Autoregressive Moving Average (VARMA) model. This test is based on the autoregressive metric, a notion of distance between two univariate ARMA models, <em>M<sub>0</sub></em> and <em>M<sub>1</sub></em>, introduced by Piccolo in 1990. In particular, we show...
Persistent link: https://www.econbiz.de/10011105155
LM sup-statistic and characterize the asymptotic p-value by Hansen's (1996) bootstrap method. In our simulations, we …
Persistent link: https://www.econbiz.de/10005119213
LM sup-statistic and characterize the asymptotic p-value by Hansen's (1996) bootstrap method. In our simulations, we …
Persistent link: https://www.econbiz.de/10005417214
fixed link functions. In this paper we consider a bootstrap specification test that detects nonparametric deviations of the … link function. The bootstrap is used with the aim to find a more accurate distribution under the null than the normal … we show that the bootstrap is able to capture the negative bias and the skewness of the test statistic. It yields better …
Persistent link: https://www.econbiz.de/10010310223
fixed link functions. In this paper we consider a bootstrap specification test that detects nonparametric deviations of the … link function. The bootstrap is used with the aim to find a more accurate distribution under the null than the normal … we show that the bootstrap is able to capture the negative bias and the skewness of the test statistic. It yields better …
Persistent link: https://www.econbiz.de/10010983857
Classical regression analysis uses partial coefficients to measure the influences of some variables (regressors) on another variable (regressand). However, a descriptive point of view shows that these coefficients are very bad measures of influence. Their interpretation as an average change of...
Persistent link: https://www.econbiz.de/10011496022
This paper constructs the probability space underlying the random variable of any time dependent econometric specification. The construction links concrete economic activity, both perceived and recorded, and econometric formulations. Furthermore, it is argued that the probability events...
Persistent link: https://www.econbiz.de/10011496032