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total variation distance between a bootstrap distribution and the normal distribution parameterized by the point estimate … sample of recent empirical articles that use a bootstrap for inference, we find that the conventional normal approximation is …
Persistent link: https://www.econbiz.de/10014468238
bootstrap procedure for conducting inference about the conditional pricing errors as well as the shapes of the factor loading …
Persistent link: https://www.econbiz.de/10014421243
models simultaneously rather than sequentially, and do not require reestimation of models as part of a bootstrap procedure …
Persistent link: https://www.econbiz.de/10012464046
The bootstrap, introduced by Efron (1982), has become a very popular method for estimating variances and constructing … bootstrap procedure that accounts for this uncertainty, and compare its properties to that of the classical bootstrap …
Persistent link: https://www.econbiz.de/10012452888
This paper reviews a set of recent studies that have attempted to measure the causal effect of education on labor market earnings by using institutional features of the supply side of the education system as exogenous determinants of schooling outcomes. A simple theoretical model that highlights...
Persistent link: https://www.econbiz.de/10012470981
In this paper we provide an analytical review of previous estimates of the rate of return on schooling investments and measure how these estimates vary by country, over time, and by estimation method. We find evidence reporting (or file drawer') bias in the estimates and, after due account is...
Persistent link: https://www.econbiz.de/10012471319
Our two related goals in this paper are the following: Firstly and mainly, we want to examine the effects of major changes in modelling strategy and econometric methodology, over the past twenty years, on estimation of firm-level investment equations using panel data. Secondly, we try to assess...
Persistent link: https://www.econbiz.de/10012471345
A well known result is that the Gaussian log-likelihood can be expressed as the sum over different frequency components. This implies that the likelihood ratio statistic has a similar linear decomposition. We exploit these observations to devise diagnostic methods that are useful for...
Persistent link: https://www.econbiz.de/10012471773
We study regressions with period and group fixed effects and several treatment variables. Under a parallel trends assumption, the coefficient on each treatment identifies the sum of two terms. The first term is a weighted sum of the effect of that treatment in each group and period, with weights...
Persistent link: https://www.econbiz.de/10012938703
This paper extends my research applying statistical decision theory to treatment choice with sample data, using maximum regret to evaluate the performance of treatment rules. The specific new contribution is to study as-if optimization using estimates of illness probabilities in clinical choice...
Persistent link: https://www.econbiz.de/10012660036