79215 - Planning and Design of Economic Surveys

Academic Year 2017/2018

  • Docente: Silvia Pacei
  • Credits: 6
  • SSD: SECS-S/03
  • Language: Italian
  • Teaching Mode: Traditional lectures
  • Campus: Bologna
  • Corso: Second cycle degree programme (LM) in Statistics, Economics and Business (cod. 8876)

Course contents

The non-sampling error.

Sources of errors.

The “non-response” and its consequences.

Three types of non-response: a) errors in the list; b) total non-response; c) item non-response.

Errors in the list

Population, list and method of interview: main schemes for kind of list and method of interview.

Types of error in the lists: non-complete list; over-coverage in the list; double units in the list; list with grapes of units.

Methods to control for the errors in the list.

TOTAL NON-RESPONSE

Reasons for total non-response. Consequenses of total non-response.

How to prevent total non-responses or correct them during the survey.

Total non-response correct in the estimation phase: 1. Classes of adjustment for non-response; 2. Two-phase method; 3. Regression estimator; 4. Constrained-weighted estimator.

Non-response schemes and auxiliary variables selection.

ITEM NON-RESPONSE

Typologies of item non-response.

How to prevent the item non-responses.

Methods to deal with incomplete data: 1. Methods only based on respondents; 2. Weighting Methods; 3. Imputation Methods (Deductive Imputation; Imputation of the mean; Imputation from donator).

Imputation Methods for longitudinal surveys.

Comparative Analysis among imputation methods.

Multiple Imputation.

Examples of application in official surveys: Banca D’Italia sample survey on Italian households income; ISTAT sample survey on small and medium firms.

Introduction to the small area estimation problem.

SAS programming on real or simulated datasets.

Readings/Bibliography

Slides.

G. Nicolini; D. Marasini; G.E. Montanari; M. Pratesi; M.G. Ranalli; E. Rocco (2013). Metodi di stima in presenza di errori non campionari. Milano: Springer-Verlag Italia. Chapters 4, 5 and 6.

Teaching methods

Lectures and laboratory exercises.

Assessment methods

Laboratory exam in SAS (preparatory) and oral exam.

Office hours

See the website of Silvia Pacei