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  1. Courses

METHODS FOR POLICY EVALUATION - 86078-MOD2

courses
ID:
86078-MOD2
Dettaglio:
SSD: Economic Policy Duration: 24 CFU: 3
Located in:
BERGAMO
Url:
Course Details:
ECONOMICS - 86-270/ECONOMIA APPLICATA Year: 3
Year:
2025
Course Catalogue:
https://unibg.coursecatalogue.cineca.it/af/2025?co...
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Overview

Date/time interval

Primo Semestre (15/09/2025 - 19/12/2025)

Syllabus

Course Objectives

At the end of the course, the students will be

able to 1) define an economic question that

may be answered with a quantitative

analysis; 2) understand the problem of

identification of an economic parameter

relevant to answer the question; 3) explore a

database to detect patterns, outliers and

statistical properties; 4) program a basic code

in Stata to explore data and run a linear

estimator to address an economic question;

5) read and interpret the results of a

regression analysis; 6) Conduct a policy

evaluation using a research design; 7)

understand the logic of empirical analysis

using Big Data



Course Prerequisites

Knowledge of basic micro and

macroeconomics, statistical inference and linear regression are useful to fruitfully attend the course.

Compulsory prerequisites required (Propedeuticità) are published on the web site: https://lt-eco.unibg.it/it/node/119.


Teaching Methods

The course will mix frontal lectures with

applied labs using Stata (one of the most

used software worldwide for empirical

analysis in many fields, including economics),

in which students will have the chance to put "hands on" real data and test economic

theories learned also in other economics

courses.


Assessment Methods

Two take-home assignments (60% of the final

mark) and final written test (40% of the final

mark).

The take-home assignments will mainly

consist of empirical applications using Stata.

The final test will consist of open questions

on the topics covered by the course.

A minimum score of 18/30 in both the take-

home assignment and the written test is

required to pass the course.


Contents

The course will cover the following topics:


8. Advanced topics in empirical economic

analysis

8.1. Introduction to policy evaluation:

estimating treatment effects (Diff-in-Diff, IV,

RDD)

8.2. Introduction to the empirical analysis using big data.


Online Resources

  • E-learning
  • Leganto - Reading lists

Degrees

Degrees

ECONOMICS - 86-270 
Bachelor's Degree
3 years
No Results Found

People

People

BELLO Piera
AREA MIN. 13 - Scienze economiche e statistiche
Gruppo 13/ECON-02 - POLITICA ECONOMICA
Settore ECON-02/A - Politica economica
Professori Associati
No Results Found

Other

Main module

METHODS FOR POLICY EVALUATION
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