32821 - Survey sampling

Learning outcomes

By the end of the course the student should know the basic theory of survey sampling. In particular the student should be able: - to employ simple, stratified and probability sampling - to derive the estimators and associated standard errors of population in the different sampling strategies - to correct estimation by the ratio principle - to understand the difference between observational and experimental studies

Course contents

Probability sampling

Simple random sampling

Sampling proportions and percentages

The estimation of sample size

Stratified random sampling

Further aspects of stratified random sampling (including sampling from two frames)

Ratio estimators

Regression estimators

Systematic sampling

Single-stage cluster sampling: clusters of equal size

Single-stage cluster sampling: clusters of unequal sizes

Subsampling with units of equal size

Subsampling with units of unequal sizes

Double sampling

Sources of errors in surveys

Readings/Bibliography

Cochran W.G. (1977). Sampling Techniques, third edition, Wiley, New York.

Teaching methods

Lectures and practicals

Assessment methods

Oral exam

Office hours

See the website of Elisabetta Carfagna