Lectures

Calendar

Provisional calendar (some changes may take place)

nº	Title	Lecture notes and other material
1	Presentation	Lecture 1 - Notes
2	Main features of empirical work in economics and business	Lecture 2 - Notes
3	Main features of empirical work in economics and business - data search	Lecture 3 - Notes Lecture 3 and 4 -Assignment
4	Main features of empirical work in economics and business - data analysis and writing reports	Lecture 4 - Notes Lecture 3 and 4 -Assignment
5	Data Analysis Basic concepts: Statistical unit, Population, Variable; Distribution. Data reduction: Table of frequencies.	Lecture 5 - Notes Lecture 5 - Assignment
6	Data reduction: Table of frequencies aggregate data. Graphical representations	Lecture 6 - Notes Lecture 6 - Assignment
7	Data reduction: Central tendency	Lecture 7 - Notes Lecture 7 - Assignment
8	Data reduction: Dispersion and concentration	Lecture 8 - Notes Lecture 8 - Assignment
9	Data reduction: The use of excel	Lecture 9 - Notes Lecture 9 - Dataset to be used
10	Data reduction: applications	Lecture 10 - Notes Lecture 10 - Assignment
11	Change of variables over time: Rates of change	Lecture 11 - Notes Lecture 11 - Assignment
12	Index numbers: simple indexes	Lecture 12 - Notes Lecture 12 - Assignment
13	Index numbers: simple indexes	Lecture 13 - Notes Lecture 13 - Assignment
14	Index numbers: simple indexes, applications	Lecture 14 - Notes Lecture 14 - Assignment
15	Index numbers: Aggregative indexes	Lecture 15 - Notes Lecture 15 - Assignment
16	Index numbers: Aggregative indexes	Lecture 16 - Notes Lecture 16 - Assignment
17	Index numbers: Nominal, real, deflators	Lecture 17 - Notes Lecture 17 - Assignment
18	Index numbers: Nominal, real, deflators	Lecture 18 - Notes Lecture 18 - Assignment
19	Index numbers: Nominal, real, deflators	Lecture 19 - Notes Lecture 19 - Assignment
20	Time series: seasonality and annual rate of change	Lecture 20 - Notes Lecture 20 - Assignment
21	Relationship between variables	Lecture 21 - Notes Lecture 21 - Assignment NOTE: Final group assignment available
22	Regression analysis	Lecture 22 - Notes Lecture 22 - Assignment