- Docente: Cinzia Franceschini
- Credits: 3
- SSD: SECS-S/01
- Language: English
- Teaching Mode: Traditional lectures
- Campus: Bologna
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Corso:
Second cycle degree programme (LM) in
Applied Economics and Markets (cod. 5969)
Also valid for Second cycle degree programme (LM) in Economics and Public Policy (cod. 5945)
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from Sep 05, 2023 to Sep 23, 2023
Learning outcomes
At the end of the course students will have a good knowledge of the statistical tools which are commonly used in Econometrics.
Course contents
Part I
1 Summation operator and descriptive statistics: definition and description.
2 Linear Functions: definitions and properties.
3 Proportions and percentages: a brief introduction.
Part II
1 Random variables and their probability distributions.
2 Joint distributions, conditional distributions and independence.
3 Features of probability distributions.
4 Features of joint and conditional distributions.
5 The normal and related distributions: the normal distribution, the standard normal distribution, the chi-square distribution, the t distribution.
Part III
1 Populations, Parameters and Random sampling.
2 Finite sample properties of estimators.
3 Asymptotic or large sample properties of estimators : consistency, unbiasedness.
4 General approaches to parameter estimation: least squares estimation.
5 Interval estimation and confidence intervals.
6 Hypothesis testing.
Readings/Bibliography
Jeffrey, M. Wooldridge, "Introductory Econometrics, A modern approach", Cengage Learning. (Appendix A, Appendix B, Appendix C)
Teaching methods
On-line lectures.
Assessment methods
There will be no final exam, but students are required to attend at least 70% of classes.
Teaching tools
Slides, Virtuale's web pages.
Office hours
See the website of Cinzia Franceschini