Search Results - subject:"Kernel Density Estimation"

Wage Distributions by Bargaining Regime: Linked Employer-Employee Data Evidence from Germany

Kohn, Karsten; Lembcke, Alexander C. - Centre for Economic Performance, LSE - 2007

analyze wage distributions for various labor market subgroups by means of kernel density estimation, variance decompositions … various labor market subgroups by means of kernel density estimation, variance decompositions, and individual and firm … regimes r by means of nonparametric kernel density estimation: ˆfh(y) = 1 Nh Nsummationdisplay i=1 K parenleftbiggy −y i h …

Persistent link: https://www.econbiz.de/10005670560

How the distribution of after-tax income changed over the 1990s business cycle : a comparison of the United States, Great Britain, Germany and Japan

Burkhauser, Richard V.; Oshio, Takashi; Rovba, Ludmila - 2007

Using kernel density estimation we find that over their 1990s business cycles the entire distribution of after …

Persistent link: https://www.econbiz.de/10011630079

On testing equality of distributions of technical efficiency scores

Simar, Leopold; Zelenyuk, Valentin - 2006

The challenge of the econometric problem in production efficiency analysis is that the efficiency scores to be analyzed are unobserved. Statistical properties have recently been discovered for a type of estimator popular in the literature, known as data envelopment analysis (DEA). This opens up...

Persistent link: https://www.econbiz.de/10009448175

A general framework for statistical inference on discrete event systems.

Nicolai, R.P.; Koning, A.J. - Erasmus University Rotterdam, Econometric Institute - 2006

marked point processes, likelihood methods, kernel density estimation and stochastic approximation to enable statistical … as simulation of marked point processes, likelihood methods, kernel density estimation and stochas- tic approximation to … simulation; marked point process; likelihood methods; sto- chastic approximation; kernel density estimation; ∗Corresponding …

Persistent link: https://www.econbiz.de/10005450910

A general framework for statistical inference on discrete event systems.

Nicolai, R.P.; Koning, Koning, A.J. - Faculteit der Economische Wetenschappen, Erasmus … - 2006

marked point processes, likelihood methods, kernel density estimation and stochastic approximation to enable statistical …

Persistent link: https://www.econbiz.de/10010731914

The rising wage inequality in Mexico, 1984-2000: A distributional analysis

Popli, Gurleen - Volkswirtschaftliche Fakultät, … - 2006

In this paper we look at the distribution of wages to examine the extent and cause of the increasing wage inequality in Mexico over the last two decades (1984 to 2000). To understand the causes of the increase in inequality over time we do a counterfactual analysis. We find that over the last...

Persistent link: https://www.econbiz.de/10005617171

Rate of convergence of the density estimation of regression residual

Györfi, László; Walk, Harro - In: Statistics & Risk Modeling 30 (2013) 1, pp. 55-74

Abstract Consider the regression problem with a response variable Y and with a d -dimensional feature vector X . For the regression function m(x) = E{ Y|X = x }, this paper investigates methods for estimating the density of the residual Y − m(X) from independent and identically...

Persistent link: https://www.econbiz.de/10014622235

A Multivariate and Multimodal Wind Distribution model

Zhang, Jie; Chowdhury, Souma; Messac, Achille; … - In: Renewable Energy 51 (2013) C, pp. 436-447

density estimation, a standard non-parametric approach to estimate the probability density function of random variables, is … Wind Distribution (MMWD) model, is an evolution from existing wind distribution modeling techniques. Multivariate kernel …

Persistent link: https://www.econbiz.de/10010805366

Profitability in the car industry: New measures for estimating targets and target directions

van der Heijden, Hans; Garn, Wolfgang - In: European Journal of Operational Research 225 (2013) 3, pp. 420-428

In this paper we study the profitability of car manufacturers in relation to industry-wide profitability targets such as industry averages. Specifically we are interested in whether firms adjust their profitability in the direction of these targets, whether it is possible to detect any such...

Persistent link: https://www.econbiz.de/10010871160

Bayesian bandwidth estimation for a nonparametric functional regression model with unknown error density

Shang, Han Lin - In: Computational Statistics & Data Analysis 67 (2013) C, pp. 185-198

Error density estimation in a nonparametric functional regression model with functional predictor and scalar response is considered. The unknown error density is approximated by a mixture of Gaussian densities with means being the individual residuals, and variance as a constant parameter. This...

Persistent link: https://www.econbiz.de/10010871304