The Implications of Sampling-based and Design-based Uncertainty in Regression Analysis

The Implications of Sampling-based and Design-based Uncertainty in Regression Analysis

Neyman Seminar
Mar 22, 2017, 04:00 PM - 05:00 PM | 1011 Evans Hall | Happening As Scheduled
Guido Imbens, Stanford Business School
When a researcher estimates the parameters of a regression function, using information on all 50 states in the United States, or information on all visits to a website, what is being estimated, and what is the interpretation of the standard errors? Researchers typically assume the sample is a random sample from a large population of interest, and report standard errors that are designed to...