Similar Search Results

Absent–minded drivers in the lab : testing Gilboa’s model

Huck, Steffen; Müller, Wieland - 2000

This note contributes to the discussion of decision problems with imperfect recall from an empirical point of view. We argue that, using standard methods of experimental economics, it is impossible to induce (or control for) absent-mindedness of subjects. Nevertheless, it is possible to test...

Persistent link: https://www.econbiz.de/10009583877

The local power of some unit root tests for panel data

Breitung, Jörg - 1999

(1993) and Im, Pesaran and Shin (1997) suggest bias adjusted t-statistics. Such corrections are necessary to account for the … affected by two different terms. The first term represents the asymptotic effect on the bias due the detrending method and the … do not require a bias correction. The results of a Monte Carlo experiment suggest that avoiding the bias can improve the …

Persistent link: https://www.econbiz.de/10009581103

Measurement error, biases, and the validation of complex models

Carroll, Raymond J.; Galindo, Christian D. - 1997

There are three major points to this article: 1. Measurement error causes biases in regression fits. The line one would obtain if one could accurately measure exposure to environmental lead media will differ in important ways when one measures exposure with error. 2. The effects of measurement...

Persistent link: https://www.econbiz.de/10009631751

Non-uniformity of job-matching in a transition economy : a nonparametric analysis for the Czech Republic

Profit, Stefan; Sperlich, Stefan - 1998

We consider problems in modelling job-matching in the Czech Republic during the transition to a market economy. Special interest is devoted to functional form considerations and the analysis of returns to scale of the matching function. This explorative study aims to shed some light into the...

Persistent link: https://www.econbiz.de/10009574874

Nonparametric factor analysis of time series

Rodríguez Poo, Juan Manuel; Linton, Oliver - 1998

We introduce a nonparametric smoothing procedure for nonparametric factor analaysis of multivariate time series. The asymptotic properties of the proposed procedures are derived. We present an application based on the residuals from the Fair macromodel. -- Factor Analysis ; Time Series ; Kernel...

Persistent link: https://www.econbiz.de/10009578000

Nonparametric estimation in null recurrent times series

Karlsen, Hans Arnfinn; Tjostheim, Dag - 1998

We develop a nonparametric estimation theory in a non-stationary environment, more precisely in the framework of null recurrent Markov chains. An essential tool is the split chain, which makes it possible to decompose the times series under consideration in independent and identical parts. A...

Persistent link: https://www.econbiz.de/10009578015

Semiparametric estimation and prediction for time series cross sectional data

Bunke, Olaf - 1998

This paper discusses a methodology which uses time series cross sectional datafor the estimation of a time dependent regression function depending on explanatory variables and for the prediction of values of the dependent variable. The methodology assumes independent observations and is based on...

Persistent link: https://www.econbiz.de/10009578017

A nonparametric test of the non-convexity of regression

Diack, Cheikh A. T.; Thomas-Agnan, Christine - 1998

This paper proposes a nonparametric test of the non-convexity of a smooth regression function based on least squares or hybrid splines. By a simple formulation of the convexity hypothesis in the class of all polynomial cubic splines, we build a test which has an asymptotic size equal to the...

Persistent link: https://www.econbiz.de/10009578020

Nonparametric autoregression with multiplicative volatility and additive mean

Yang, Lijian; Härdle, Wolfgang; Nielsen, Jens Perch - 1998

For over a decade, nonparametric modelling has been successfully applied to study nonlinear structures in financial time series. It is well known that the usual nonparametric models often have less than satisfactory performance when dealing with more than one lag. When the mean has an additive...

Persistent link: https://www.econbiz.de/10009578559

An equality test across nonparametric regressions

Lavergne, Pascal - 1998 - Rev.

A procedure for testing equality across nonparametric regressions is proposed. The procedure allows for any dimension of the explanatory variables and for any number of subsamples. We consider the case of random explanatory variables and allow the designs of the regressors and the number of...

Persistent link: https://www.econbiz.de/10009578576