HOW TO MEASURE THE IMPACT OF LOCAL DEVELOPMENT PROGRAMMES

Second cycle degree in SUSTAINABLE TERRITORIAL DEVELOPMENT

Campus: PADOVA

Language: English

Teaching period: First Semester

Lecturer: ANNA GIRALDO

Number of ECTS credits allocated: 6


Syllabus
Prerequisites: Previous knowledge required:
Basic statistical tools: population and sample; type of statistical variables; frequency distributions and their graphical representations; measures of location and spread; general concepts of regression and correlation; key ideas of statistical inference: estimation, confidence intervals and hypothesis testing.
For LD students: these concepts are acquired in the first year's course "How to measure local development".
Examination methods: Homework (project assigned during the course) and written examination (closed book).
Course unit contents: Part 1:
Introduction to impact evaluation
Causal inference and counterfactuals
Randomized selection methods
Difference-in-differences
Regression discontinuity design
Matching
Case studies

Part 2:
Target population, units, variables and indicators
Population and samples (hints)
Types of sampling schemes
Sampling and non sampling errors