Censored Regression with Flexible Distributions

Authors

Randall Lewis, Brigham Young University
Dr. James McDonald, Brigham Young University

Keywords

censored regression, flexible distributions, OLS

College

Family, Home, and Social Sciences

Department

Economics

Abstract

In the field of economics, the estimation of causal relationships is fundamental. The economist formulates a model or mechanism through which human behavior affects outcomes. Then, by using real-world data, economists can estimate these relationships. For example, one simple relationship that has been a subject of study is the causal effect of education on income. Whereas in other fields correlation is typically the object of interest, in economics, the actual quantitative effect on outcomes of changing a causal variable, such as years of education, is of interest.

Recommended Citation

Lewis, Randall and McDonald, Dr. James (2013) "Censored Regression with Flexible Distributions," Journal of Undergraduate Research: Vol. 2013: Iss. 1, Article 177.
Available at: https://scholarsarchive.byu.edu/jur/vol2013/iss1/177