【主讲】Tao Chen (University of Waterloo)
【主题】An Approximation of Logarithmic Functions In the Regression Setting -- An Application to the Inter-generational Mobility Study
【时间】2014年11月20日 (周四) 16：00-17：30
【地点】上海财经大学经济学院楼602室
【语言】英文
【摘要】We consider a method of moments approach for dealing with censoring at zero for data expressed in levels when researchers would like to take logarithms. A Box–Cox transformation is employed. We explore this approach in the context of linear regression where both dependent and independent variables are censored. We contrast this method to two others, (1) dropping records of data containing censored values and (2) assuming normality for censored observations and the residuals in the model. Across the methods considered, where researchers are interested primarily in the slope parameter, estimation bias is consistently reduced using the method of moments approach.
