30284 - EMPIRICAL METHODS FOR ECONOMICS (INTRODUCTION TO ECONOMETRICS)
CLEAM - CLEF - WBB - BIEF - BIEM
Department of Economics
Course taught in English
Go to class group/s: 31
CLEAM (6 credits - I sem. - OP | SECS-P/05) - CLEF (6 credits - I sem. - OP | SECS-P/05) - WBB (6 credits - I sem. - OP | SECS-P/05) - BIEF (6 credits - I sem. - OBCUR | SECS-P/05) - BIEM (6 credits - I sem. - OP | SECS-P/05)
Course Director:
GABRIELE NATALE DEANA
GABRIELE NATALE DEANA
Course Objectives
The course goal is to familiarize students with the theory and use of quantitative methods in economics. The topics of the course are: the linear model and its generalizations; estimation and test theory; econometric specification techniques and model selection problems; instrumental variables. Such techniques are illustrated both theoretically and by means of empirical applications.
Intended Learning Outcomes
Course Content Summary
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The general problem of the approximation of a relation between economic variables.
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Introduction to the regression model in the univariate case.
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The general linear model.
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Strong and weak hypotheses.
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Minimum squares criterion and estimators.
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Statistic properties of estimators.
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Alternative characterizations of estimators (orthogonality, BLUE).
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Interval estimation.
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Tests of linear hypotheses on the parameters of the model.
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How to interpret the results of an application of the linear model.
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Asymptotic results for the linear model.
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Test of nonlinear hypotheses on the parameters of model.
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Heteroschedasticity and generalized minimum squares.
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Correct specification test.
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Nonlinear models.
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Instrumental variables.
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Panel data models.
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Models for qualitative variables.
Teaching methods
Assessment methods
Detailed Description of Assessment Methods
Written exam. Possibility to take the partial exams (the final grade will be the average of the two parts).
Textbooks
- M. Marcellino, Introduction to Applied Econometrics, EGEA, forthcoming.
- Additional material will be provided.
Prerequisites
Sound knowledge of the topics studied in the courses in mathematics and statistics.
Last change 25/05/2016 15:50