Corso di studio in Economia e Management

EMPIRICAL TOOLS FOR MANAGERS

EMPIRICAL TOOLS FOR MANAGERS

Anno accademico 2022/2023

Sommario insegnamento

• Obiettivi formativi
• Risultati dell'apprendimento attesi
• Modalità di insegnamento
• Modalità di verifica dell'apprendimento
• Programma
• Testi consigliati e bibliografia
• Strumenti didattici

Obiettivi formativi

This class is about data analysis and its applications to business, economics and policy. The course will equip students with the most important tools, methods and skills for data analysis, with a strong focus on case studies and real-life examples.

We will study the most widely used statistical and econometric methods to perform exploratory data analysis, data visualization, hypothesis testing and basic regression analysis.

We will use real-life data and case studies, which will provide students with the opportunity to apply the tools and methods learnt in the course.

The software used in the class will be Stata, which MUST be downloaded for free before the start of the class at: https://www.unito.it/servizi/servizi-line/licenze-software-campus-di-ateneo

Risultati dell'apprendimento attesi

At the end of the class, students will be able

• Have a good understanding and ability to use STATA to perform basic data analysis
• Have a good understanding of data exploration, visualisation and descriptive analysis
• Generalise from data and test simple hypotheses
• Perform basic regression analysis an interpret the main results
• Understand issues related to causal analysis and limitations of the methods analysed.

Modalità di insegnamento

Lectures will be in-person. Attendance is highly recommended, because we will work through case studies in class and practice using STATA together.

Modalità di verifica dell'apprendimento

Practical individual and/or group assignments to be prepared in class and at hom

Programma

1. Origins of Data
2. Preparing Data for Analysis
3. Exploratory Data Analysis
4. Comparison and Correlation
5. Generalizing from Data
6. Testing hypotheses
7. Regression analysis – Simple regression
8. Generalizing results of a regression
9. Multiple linear regression
10. Modelling probabilities
11. Regression with Time Series Data
12. Causal Analysis
13. Experiments and Matching with observational data
14. Introduction to Panel Data

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• Materiale didattico
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• Visita i forum