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the expectations of ratios of quadratic forms is overcome by a simple bootstrap procedure. With that, the corrections on …
Persistent link: https://www.econbiz.de/10008725929
In studying the asymptotic and finite sample properties of quasi-maximum likelihood (QML) estimators for the spatial linear regression models, much attention has been paid to the spatial lag dependence (SLD) model; little has been given to its companion, the spatial error dependence (SED) model....
Persistent link: https://www.econbiz.de/10011755286
In studying the asymptotic and finite sample properties of quasi-maximum likelihood (QML) estimators for the spatial linear regression models, much attention has been paid to the spatial lag dependence (SLD) model; little has been given to its companion, the spatial error dependence (SED) model....
Persistent link: https://www.econbiz.de/10011297624
In studying the asymptotic and finite-sample properties of quasi-maximum likelihood (QML) estimators for the spatial linear regression models, much attention has been paid to the spatial lag dependence (SLD) model; little has been given to its companion, the spatial error dependence (SED) model....
Persistent link: https://www.econbiz.de/10010929725
Persistent link: https://www.econbiz.de/10011349513
Persistent link: https://www.econbiz.de/10011479842
. Instructors are encouraged to use explain-how-to-bootstrap exercises to promote student understanding of the rules of the game. …
Persistent link: https://www.econbiz.de/10005456454
In applied statistics and computational econometrics a key task for researchers is to bring the sizable but unstructured body of numeric evidence, for example from Monte Carlo simulation, in a form ready for introducing to scientific dialog. At their disposal they find established means of...
Persistent link: https://www.econbiz.de/10011109202
This brief note serves as a companion paper to Klein (2014). Small multiples incorporate graphical frameworks such as P value plots with ease, and thus facilitate visualizing quantitative data that record parameter change from simulation experiments. Pitfalls in layout may be avoided when...
Persistent link: https://www.econbiz.de/10011114338
Propensity score matching estimators have two advantages. One is that they overcome the curse of dimensionality of covariate matching, and the other is that they are nonparametric. However, the propensity score is usually unknown and needs to be estimated. If we estimate it nonparametrically, we...
Persistent link: https://www.econbiz.de/10010267689