96798 - BUSINESS SURVEYS DESIGN AND PLANNING

Learning outcomes

At the end of the course the student has a wide knowledge of the different typologies of official and non-official, and conventional and non-conventional sources of data that can be useful to the company, and has the ability to match the available data sources to the information needs of the company. The student possesses the knowledge of the tools to design and implement a new survey, in order to obtain useful information for the company, taking into account the peculiarities of this type of information and the consequent aspects that characterize its analysis. Moreover, the student knows the problems related to non-sampling errors and is able to deal with them using modern correction techniques. The student is able to implement all the practical tasks using a statistical software. In particular the student is able to: - decide the most suitable source of information for a specific information need of the company; - plan and carry out a sample survey; - organize the data obtained and correct them by using a statistical software.

Course contents

Contents

1) Types of Data, Types of Sample Surveys

2) Selection Bias, Measurement Error, Questionnaire Design

3) Lab: Introduction to R and R-Studio

4) Probability Concepts

5) Basic Concepts; Simple Random Sampling

6) Lab: Simple Random Sampling in R

7) Simple Random Sampling (Cont.)

8) Systematic Sampling; Stratified Sampling

9) Lab: Stratified Sampling in R

10) Cluster Sampling with Equal probabilities

11) Sampling with Unequal Probabilities

12) Lab: Sampling with Equal and Unequal Probabilities in R

13) Complex Surveys; Two-Phase Sampling

14) Nonresponse; Non-probability Samples

15) Lab: Complex Survey in R; Nonresponse in R

Readings/Bibliography

Class slides posted on the course page after lectures.

S.L. Lohr (2021). Sampling: Design and Analysis, Third Edition, Brooks / Cole, Boston. Teaching methods. Available in library.

Yan Lu, S.L. Lohr (2021) R Companion for Sampling: Design and Analysis, Third Edition, CRC Press Taylor and Francis Group. Free to download.

Cochran, W. G. (1977) Sampling Techniques, 3rd Edition, John Wiley and Sons, New York. Available on-line.

Teaching methods

Two two-hours lectures and one two-hours laboratory per week for a period of five weeks and 30 hours in total.

Assessment methods

The exam consists of a single test conducted in laboratory which includes theory questions covered in class and empirical questions to be solved in R as covered during the laboratory sessions.

Possibility of refusing the vote: 1 time.

Office hours

See the website of Paolo Verme