Showing 1 - 10 of 153
In this study we examine the potential determinants of technical efficiency for the Tunisian commercial banking sector over the period of 1995-2017. First, we estimate banking technical efficiency with a radial and non-radial bootstrap data envelopment analysis. For the radial technique, we use...
Persistent link: https://www.econbiz.de/10012617389
In a number of semiparametric models, smoothing seems necessary in order to obtain estimates of the parametric … estimates of semiparametric index models. Approaches to bias-reduction are discussed. We also develop a higher order expansion … sample performance of the methods is investigated by means of Monte Carlo simulations from a Tobit model. …
Persistent link: https://www.econbiz.de/10010745614
In a number of semiparametric models, smoothing seems necessary in order to obtain estimates of the parametric … estimates of semiparametric index models. Approaches to bias-reduction are discussed. We also develop a higher order expansion … sample performance of the methods is investigated by means of Monte Carlo simulations from a Tobit model. …
Persistent link: https://www.econbiz.de/10005797507
The challenge of the econometric problem in production efficiency analysis is that the very efficiency scores to be analyzed are unobserved. Recently, statistical properties have been discovered for a class of estimators popular in the literature, known as data envelopment analysis (DEA)...
Persistent link: https://www.econbiz.de/10008794662
We consider consistent tests for stochastic dominance efficiency at any order of a given portfolio with respect to all possible portfolios constructed from a set of assets. We propose and justify approaches based on simulation and the block bootstrap to achieve valid inference in a time series...
Persistent link: https://www.econbiz.de/10005771790
with nonparametric estimation of the pricing kernel (Empirical Pricing Kernel) given by the ratio of the risk ….r.t. the European call option price function, which we estimate by nonparametric regression. The subjective density is …
Persistent link: https://www.econbiz.de/10010270732
from this basic requirement by presenting an algorithm for nonparametric estimation of conditional quantiles when both the …
Persistent link: https://www.econbiz.de/10010325868
with nonparametric estimation of the pricing kernel (Empirical Pricing Kernel) given by the ratio of the risk ….r.t. the European call option price function, which we estimate by nonparametric regression. The subjective density is …
Persistent link: https://www.econbiz.de/10008476278
from this basic requirement by presenting an algorithm for nonparametric estimation of conditional quantiles when both the …
Persistent link: https://www.econbiz.de/10008838604
from this basic requirement by presenting an algorithm for nonparametric estimation of conditional quantiles when both the …
Persistent link: https://www.econbiz.de/10011255547