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In this paper we perform inference on the effect of a treatment on survival times in studies where the treatment assignment is not randomized and the assignment time is not known in advance. Two such studies are discussed: a heart transplant program and a study of Swedish unemployed eligible for...
Persistent link: https://www.econbiz.de/10010269367
of explicit estimation of the conditional Jacobian and variance matrices of the conditional moment restrictions and …
Persistent link: https://www.econbiz.de/10010318448
so far. One reason is certainly the increasing complexity of the statistical theory, which is commonly referred to as the … the copula theory with the aim of detecting significant long-term level changes in the supervisory portfolio's dependence …
Persistent link: https://www.econbiz.de/10010298783
bounds as a by-product of our inferential procedures. We develop theory for large sample inference based on the strong …
Persistent link: https://www.econbiz.de/10010318689
This paper reports the results from a contingent valuation study designed to investigate the influence of warm glow in willingness-to-pay responses. Interindividual differences in warm glow motivation are measured through a factor analysis, performed on a list of attitudinal items. The reported...
Persistent link: https://www.econbiz.de/10011608835
This paper shows nonparametric identification of quantile treatment effects (QTE) in the regression discontinuity design. The distributional impacts of social programs such as welfare, education, training programs and unemployment insurance are of large interest to economists. QTE are an...
Persistent link: https://www.econbiz.de/10010269846
kernel smoothing of the conditional mean function. An asymptotic theory for the resulting kernel estimator is developed and …
Persistent link: https://www.econbiz.de/10011422182
Efficient semiparametric and parametric estimates are developed for a spatial autoregressive model, containing non stochastic explanatory variables and innovations suspected to be non-normal. The main stress is on the case of distribution of unknown, nonparametric, form, where series non...
Persistent link: https://www.econbiz.de/10010318525
This chapter deals with nonparametric estimation of the risk neutral density. We present three different approaches … conditional on the physical measure of the underlying asset. Via direct series type estimation of the pricing kernel we can derive …
Persistent link: https://www.econbiz.de/10010270813
We consider the problem of ex-ante forecasting conditional correlation patterns using ultra high frequency data. Flexible semiparametric predictors referring to the class of dynamic panel and dynamic factor models are adopted for daily forecasts. The parsimonious set up of our approach allows to...
Persistent link: https://www.econbiz.de/10010296287