Model assisted survey estimation

Introduction

We discuss two popular estimation methods that are often used in cluster and multistage sampling designs: Ratio and Regression estimation. The goal of these estimation methods is to make the estimation of a statistic of interest (e.g. mean) more efficient by using auxiliary variables. Inference is here not only using the inclusion probabilities anymore, but inference is being ‘assisted’ by the use of a statistical model. We introduce the idea of model-assisted inference.

Before class, make sure to finish last week’s take home exercise.

Literature

  • Stuart (1984) 71-90

Slides

Slides

Exercises

R exercise ratio estimation
R exercise ratio estimation solutions
R exercise regression estimation
R exercise regression estimation solutions

Take home exercise (for week 44)

Catch up on readings and exercises. Review parts of lectures/exercises again that you found difficult.

Previous
Next