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Estimation of expected shortfall using quantile regression : a comparison study

Christou, Eliana; Grabchak, Michael - In: Computational economics 60 (2022) 2, pp. 725-753

Persistent link: https://www.econbiz.de/10013380827

Feature screening in high dimensional regression with endogenous covariates

Hu, Qinqin; Lin, Lu - In: Computational economics 60 (2022) 3, pp. 949-969

Persistent link: https://www.econbiz.de/10013380855

Indicator selection of index construction by adaptive lasso with a generic [epsilon]-insensitive loss

Ye, Yafen; Chi, Renyong; Shao, Yuan-Hai; Li, Chun-Na; … - In: Computational economics 60 (2022) 3, pp. 971-990

Persistent link: https://www.econbiz.de/10013380861

Prediction of Mechanical Properties of Zl702a Based on Neural Network and Regression Analysis

Li, Dongwei; Huang, Weiqing; Liu, Jinxiang; Yan, Kangjie; … - 2022

The quantile regression neural network ( QRNN ) has shown high potential for predicting the mechanical properties of … the alloy. The QRNN model and the regression model were developed to predict the mechanical properties of the low … prediction accuracies of the two prediction models were compared in this article. The regression model predicted better for the …

Persistent link: https://www.econbiz.de/10013305299

Employment Protection Legislation and Wages

Leonardi, Marco; Pica, Giovanni - School of Economics, Universiteit Utrecht - 2007

In a perfect labor market severance payments can have no real effects as they can be undone by a properly designed labor contract (Lazear 1990). We give empirical content to this proposition by estimating the effects of EPL on entry wages and on the tenure-wage profile in a quasi-experimental...

Persistent link: https://www.econbiz.de/10005040985

Uncertainty and regulatory outcome in the Swedish electricity distribution sector

Söderberg, Magnus - In: European Journal of Law and Economics 25 (2008) 1, pp. 79-94

Persistent link: https://www.econbiz.de/10005705354

Means and Ends: A Comparative Study of Empirical Methods For Investigating Governance and Performance

Heinrich, Carolyn J.; Laurence E. Lynn, Jr. - Harris School of Public Policy, University of Chicago - 1999

approaches: hierarchical linear models (HLM); ordinary least squares (OLS) regression models using individual level data; and OLS … characteristics. The notable inconsistencies in the estimated OLS regression coefficients are of particular interest to the study of …

Persistent link: https://www.econbiz.de/10005823017

Empirically Based Modeling in the Social Sciences and Spurious Stylized Facts

Bassler, Kevin E.; Gunaratne, Gemunu H.; McCauley, Joseph L. - Volkswirtschaftliche Fakultät, … - 2007

The discovery of the dynamics of a time series requires construction of the transition density, 1-point densities and scaling exponents provide no knowledge of the dynamics. Time series require some sort of statistical regularity, otherwise there is no basis for analysis. We state the possible...

Persistent link: https://www.econbiz.de/10005836906

Cross-section Regression with Common Shocks

Andrews, Donald W.K. - Cowles Foundation for Research in Economics, Yale University - 2003

This paper considers regression models for cross-section data that exhibit cross-section dependence due to common …

Persistent link: https://www.econbiz.de/10005762510

Farmer-to-Consumer Direct Marketing: The Role of Customer Satisfaction Measurement for Service Innovations

Spiller, Achim; Zuhlsdorf, Anke; Mellin, Matthias - Institut für Lebensmittel und Ressourcenökonomik, … - 2007

The importance of direct marketing for high quality farm products has increased during the past few years. This paper analyses the impact of customer satisfaction and its driving forces for farmer- to-consumer direct marketing and is based on a customer survey in 33 organic and conventional...

Persistent link: https://www.econbiz.de/10005805801