<p>ECONOMETRICS I</p><p>Code: 361842</p><p>SYLLABUS</p><p>1. Introduction</p><p>1.1. Concept and content 1.2. Econometric models 1.3. Stages of the econometric research 1.4. Application areas 1.5. Limits in econometrics</p><p>2. Multiple linear regression model: specification, estimation and validation</p><p>2.1. Formulation and basic assumptions of the model 2.2. Estimates by ordinary minimum squares (OMS). Statistical properties of estimators for OMS 2.3. Analysis of the residue by OMS estimates 2.4. Estimate of the variability of the disturbance term of estimating by OMS 2.5. The maximum likelihood estimator (MV). Statistical properties of estimators of MV 2.6. Validation of the model 2.7. The multiple linear regression model in deviations </p><p>3. Prediction</p><p>3.1. Punctual prediction 3.2. Interval Prediction 3.3. Evaluation of predictions</p><p>4. Linear Restrictions</p><p>4.1. Contrasting linear constraints 4.2. Restricted minimum squares estimation (RMS). Statistical properties of estimators for RMS 4.3. Analysis of the estimation residue by RMS</p><p>Unaccomplishments of hypothesis of the deterministic part in MRLM</p><p>5. Problems with sample information: Influential observations and multicol·lineality</p><p>5.1. Influential and strange Observtions. Definition, detection and consequences 5.2. Multicol·lineality. Definition, types and causes 5.3. Detection and evaluation of the importance of multicol·lineality 5.4. Possible solutions to multicol·lineality</p><p>6. Specification Errors of the deterministic part</p><p>6.1. Incorrect specification of the explanatory variables. Omission of relevant variables and inclusion of irrelevant variables 6.2. Errors in the specification of the functional form. Contrast RESET 6.3. Structural remaining and structural change: Chow test</p><p>7. Qualitative explanatory variables</p><p>7.1. Fictitious variables 7.2. Schemes of inclusion of fictitious variables in MRLM 7.3. Other applications of fixtitious variables</p><p>BIBLIOGRAPHY</p><p>ARTÍS, M. ; SURIÑACH, J.(coord.). Introducció a l’econometria. Barcelona : UOC, 2008. </p><p>Ed. de 1999 </p><p>CARRASCAL, U ; GONZÁLEZ, Y. ; RODRÍGUEZ, B. Análisis econométrico con Eviews. Madrid : RA-MA, 2001. </p><p>JOHNSTON, J ; DINARDO, J. Métodos de econometría. Barcelona : Vicens Vives, 2001. </p><p>MADDALA, GS. Introducción a la econometría. Mèxic : Mc Graw-Hill, 1996. </p><p>NOVALES, A. Econometria. 2a ed. Madrid : Mc Graw-Hill, 1993. </p><p>PENA, JB. (et al.). Cien ejercicios de econometria. Madrid : Pirámide, 1999. </p><p>WOOLDRIDGE, J. M. Introducción a la econometría: un enfoque moderno. 4a ed. México : Cengage Learning, 2010 </p><p>2a ed. (2006) GUJARATI, D.N. Econometria. 5a ed. México, D.F. : McGraw-Hill, 2010. 4a ed. (2004) </p><p>CREDITS: 3 credits</p><p>CLASS CONTACT HOURS: three hours weekly</p><p>EXAMINATIONS: Continuous evaluation (grade based on periodical exercises, assignments and papers) or based on the grade received in a midterm exam, a final exam/paper. </p><p>LANGUAGE: English. The same course is also offered in Spanish.</p>