Abstract: Truncated Regression Model and Nonparametric Estimation for Plotting Employees
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Open Access | Fully Refereed | Peer Reviewed

ISSN: 2319-7064

Downloads: 98

Case Studies | Mathematics | Indonesia | Volume 5 Issue 5, May 2016

Truncated Regression Model and Nonparametric Estimation for Plotting Employees

Muhammad Hafiz, Ari Fitriani

In this paper we consider identification and estimation of a nonparametric location scale model. We first use the truncated data. Then we use truncated regression model. Truncated regression is used to model dependent variables for which some of the observations are not included in the analysis because of the value of the dependent variable. In the latter case we propose a simple estimation procedure based on combining conditional quantile estimators for three distinct quantiles. The new estimator is shown to converge at the optimal nonparametric rate with a limiting normal distribution. A small scale simulation study indicates that the proposed estimation procedure performs well in finite samples. We also present an empirical application on plotting employees in a firm.

Keywords: Plotting employees program, Language Score, Truncated Regression

Edition: Volume 5 Issue 5, May 2016

Pages: 1299 - 1302

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How to Cite this Article?

Muhammad Hafiz, Ari Fitriani, "Truncated Regression Model and Nonparametric Estimation for Plotting Employees", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=NOV163571, Volume 5 Issue 5, May 2016, 1299 - 1302

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