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Department of Econometrics, Statistics and Spanish Economy.
Econometrics is naturally linked to economic statistics, economic mathematics and economic theory. Additionally, in Econometrics II, students are assumed to have knowledge of the basic components of econometrics which are covered in the course Econometrics I.
To use ICT in professional work. To draw up, analyse and interpret financial information.
This competence involves the following: To develop a critical ability to analyse economic theories and models. To know about and appreciate the nature, sources and uses of financial information, as well as the appropriate IT resources to process and analyse it.
To conceptualize and link these databases. Exogeneity and intdoduccion regressors 1. Estimation using instrumental variables 1. Failure of the stochastic part to satisfy the hypothesis in MRLMs. Failure to satisfy basic hypotheses about disturbance terms.
Estimation using ordinary least squares of a non-spherical disturbance model; Properties of ordinary least square estimators 2. Estimation using generalized least squares; Properties of generalized least square estimators 2. Definition and causes of heteroscedasticity 3.
Ordinary least squares vs. Detecting heteroscedasticity; Testing heteroscedasticity 3. Prediction in the presence of heteroscedastic disturbances.
Definition and causes of autocorrelation 4. Estimation under autocorrelation 4. Consequences of ordinary least square estimation 4. Alternative estimation methods 4.
Detection of autocorrelation; Autocorrelation tests 4. Prediction in the presence of autocorrelated disturbances. Procedures for selecting and validating models.
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Introduction to and general principles of testing 5. Likelihood ratio, Wald and Lagrange multipliers 5. Instruments for model selection. Linear probability model 6. Because achieving the objectives established for the course necessarily requires a considerable applied component, the most suitable method must combine learning the required theoretical concepts with their practical application.
To accomplish this, the method used in this course focuses on the following activities: Students complete theoretical and practical activities with the whole groupand problem solving sessions where the group is split in two subgroups so that each subgroups attends class every two weeks. These activities will represent 60 hours of learning time. To facilitate these activities, students can use the Virtual Campus to view the slides for each topic before the corresponding session.
Specifically, the practical exercises will consist of responding correctly to a series of questions based on real economic data. To do this, students will have to use an econometric program and, using the calculations from that program and the results obtained, apply the theoretical knowledge acquired during the course. These activities will represent 50 hours of learning time.
These activities will represent 40 hours of learning time. Once students have assimilated the general theoretical and practical content of the subject, the problem-solving exercises, independent learning tasks and supervised work will help them to: In addition, independent learning activities allow students to develop the capacity to use ICT tools applicable to professional tasks. Continuous assessment consists of two parts: Short-answer questions with limited space for responses, focusing theoretical and practical aspects of the course.
Students must show the knowledge and skills acquired during the course, which will have been partially improved by the continuous assessment activities. The examination is held on the official date set by the Academic Council.
All assessed work completed during the course continuous assessment activities and the end-of-semester examination will be marked out of The percentage weightings shown above will then be applied to obtain the final grade for the subject.
Students who achieve a weighted average of 5 or above will pass the subject, provided that they have obtained a mark of 3.
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Otherwise, the final grade will be the one obtained in the final examination. Repeat assessment consists of an end-of-semester examination similar to the standard single assessment option.
The Academic Council will set the dates for repeat assessment in the academic calendar for each faculty or university school. Students who are unable to meet the continuous assessment requirements are entitled to request single assessment. The examination contains short-answer questions with limited space for responses, covering the theoretical and practical aspects of the course. Students must show the knowledge and skills acquired during the course.
To pass the subject under the single assessment option, students must: Repeat assessment takes the same format. The assessment procedure for the EUS group is explained in detail in the specific course programme. Universitat Oberta de Catalunya. Econometrics II Course unit code: Esther Vaya Valcarce Department: Endogenous explanatory variables 1. Failure to satisfy basic hypotheses about disturbance terms 2. Procedures for selecting and validating models 5.
Qualitative endogenous variables 6.
Examination-based assessment Students who are unable to meet the continuous assessment requirements are entitled to request single assessment. Teaching plan for the course unit.