Resumen del libro

Econometrics (measuring economy) is a basic branch of modern economics. The quantifi cation of the economy requires an adapted approach, based on the analysis of a data set. With statistical methods, we can study the observed variables of our economy and obtain the economic relationships hold by objects and agents. The quantitative analysis of economic phenomena is based on economic theory, which must be translated into mathematical and statistical expressions. In this book we make use of the Multiple Linear Regression, a basic tool for an introductory course in Econometrics. We introduce students to the use of data sets and the multiple linear regressions, with a specifi c analysis on applications and derived problems. The book includes practical workshops to master the different techniques in several lessons.

PART I. THE MULTIPLE LINEAR REGRESSION

0. Initial concepts

1. The multiple linear regression

2. Inference

3. Validation and prediction

4. Dummy variables

5. Heteroskedasticity

6. Autocorrelation

7. Multicollinearity

PART II. WORKSHOPS

0. Software and data

1. Estimation of the MLR

2. Hypothesis tests

3. Punctual and Interval prediction

4. Dummy variables

5. Heteroscedasticity

6. Autocorrelation

7. Multicollinearity

PART III. APENDICES

A. The logarithmic model

B. Probability tables

C. Formulary

BIBLIOGRAPHY

Citación Chicago
Hurtado Gil, Lluís Econometrics I. The Multiple Linear Regression. Madrid: CEU, 2019

Citación APA
Hurtado Gil, Lluís (2019). Econometrics I. The Multiple Linear Regression. CEU