Showing 1 - 10 of 196
A statistical problem that arises in several fields is that of estimating the features of an unknown distribution, which may be conditioned on covariates, using a sample of binomial observations on whether draws from this distribution exceed threshold levels set by experimental design....
Persistent link: https://www.econbiz.de/10010746131
We propose estimators of features of the distribution of an unobserved random variable W. What is observed is a sample of Y; V; X where a binary Y equals one when W exceeds a threshold V determined by experimental design, and X are covariates. Potential applications include bioassay and...
Persistent link: https://www.econbiz.de/10005053265
A statistical problem that arises in several fields is that of estimating the features of an unknown distribution, which may be conditioned on covariates, using a sample of binomial observations on whether draws from this distribution exceed threshold levels set by experimental design....
Persistent link: https://www.econbiz.de/10012770897
What is the effect of funding costs on the conditional probability of issuing a corporate bond? We study this question in a novel dataset covering 5,610 issuances by US firms over the period from 1990 to 2014. Identification of this effect is complicated because of unobserved, common shocks such...
Persistent link: https://www.econbiz.de/10012964789
What is the effect of funding costs on the conditional probability of issuing a corporate bond? We study this question in a novel dataset covering 5610 issuances by US firms over the period from 1990 to 2014. Identification of this effect is complicated because of unobserved, common shocks such...
Persistent link: https://www.econbiz.de/10011581544
This paper studies the effect of funding costs on the conditional probability of issuing a corporate bond in a novel dataset covering 5610 issuances by US financial and non-financial corporates over the period from 1990 to 2014. But identification of these effects is complicated by unobserved...
Persistent link: https://www.econbiz.de/10013002100
We propose an estimation methodology for a semiparametric quantile factor panel model. We provide tools for inference that are robust to the existence of moments and to the form of weak cross-sectional dependence in the idiosyncratic error term. We apply our method to CRSP daily data
Persistent link: https://www.econbiz.de/10012957049
This paper develops methodology for semiparametric panel data models in a setting where both the time series and the cross section are large. Such settings are common in finance and other areas of economics. Our model allows for heterogeneous nonparametric covariate effects as well as unobserved...
Persistent link: https://www.econbiz.de/10013088013
In this paper, we study a class of high dimensional moment restriction panel data models with interactive effects, where factors are unobserved and factor loadings are nonparametrically unknown smooth functions of individual characteristics variables. We allow the dimension of parameter vector...
Persistent link: https://www.econbiz.de/10013289217
This paper develops a new estimation procedure for characteristic-based factor models of security returns. We treat the factor model as a weighted additive nonparametric regression model, with the factor returns serving as time-varying weights, and a set of univariate non-parametric functions...
Persistent link: https://www.econbiz.de/10005857787