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We provide analytical formulae for the asymptotic bias (ABIAS) and mean squared error (AMSE) of the IV estimator, and obtain approximations thereof based on an asymptotic scheme which essentially requires the expectation of the first stage F-statistic to converge to a finite (possibly small)...
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This Chapter discusses estimation, specification testing, and model selection of predictive density models. In … particular, predictive density estimation is briefly discussed. And a variety of different specifications and model evaluation …
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This paper analyzes the conditions under which consistent estimation can be achieved in instrumental Variables (IV … (JIVE) establishes that consistent estimation depends importantly on the relative magnitudes of rn, the growth rate of the … the use of many instruments may be beneficial for estimation, as the resulting concentration parameter growth may allow …
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statistics are obtained via rolling and recursive estimation schemes are developed. An empirical illustration comparing …
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This paper develops Wald type tests for general possibly nonlinear restrictions, in the context of heteroskedastic IV regression with many weak instruments. In particular, it is first shown that consistency and asymptotically normality can be obtained when estimating structural parameters using...
Persistent link: https://www.econbiz.de/10002433218
are also reported on. The first shows that cointegration vector parameter estimation error is crucial when using VEC … alternative models, due to parameter estimation error, indicating that caution needs to be exercised when interpreting the results …
Persistent link: https://www.econbiz.de/10001848940
One of the fundamental problems of the positive theory of income taxation is explaining why the statutory income tax schedules in all industrialized democracies are marginal-rate progressive. While it is commonly believed that this is but a simple consequence of the fact that the number of...
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