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This is an exercise book on introduction to probability theory and statistical inference. …
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The techniques of simple random sampling are seldom appropriate in the empirical analysis of income distributions. Various types of weighting schemes are usually required either from the point of view of welfare-economic considerations (the mapping of household/family distributions into...
Persistent link: https://www.econbiz.de/10005670760
On the example of a pure-exchange financial economy with two periods, incomplete nominal-asset markets and differential information of the adverse selection's type, Cornet-De Boisdeffre (2002) introduced refined concepts of no-arbitrage prices and equilibria, which extended to the asymmetric...
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those presented here. Our results indicate that classical statistical inference techniques, in general, works very well for …
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Suppose we wish to carry out likelihood based inference but we solely have an unbiased simulation based estimator of … perhaps surprising given the celebrated results on maximum simulated likelihood estimation. Bayesian inference based on … we can carry out likelihood based inference using its simulations. …
Persistent link: https://www.econbiz.de/10005730008
Basic causality is that a cause is present or absent and that the effect follows with a success or not. This happy state of affairs becomes opaque when there is a third variable that can be present or absent and that might be a seeming cause. The 2 x 2 x 2 layout deserves the standard name of...
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misspecification. However, degeneracy of RV invalidates inference. With a novel definition of weak instruments for testing, we connect …
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