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This course offers an introduction to data analysis in Social Sciences with the assistance of the multiple regression model. Students are expected gujarayi complete all independent study tasks.
Ability to analyse and summarise information from several sources. Estimation under autocorrelation 4. The rigorous formal justification of intrlduccion applied statistical inference techniques is out of the scope of this course. Students who are unable to meet the continuous assessment requirements are entitled to request single assessment. Estimation using instrumental variables 1. Instruments for model selection.
These activities will represent 40 hours of learning time. Attendance will be required of all students in all activities planned for them and follow up, as well as grading of the activities, will be done by the students tutor, teacher and the Company representative they will work for. Esther Vaya Valcarce Department: Assignments will be given to students to reinforce the theory discussed in class.
These tasks are suited to individual study. 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. The examination is held on the official date set by the Academic Council. Students should check the PDU every week. These activities will gujsrati 50 hours of learning time.
Definition and causes of autocorrelation 4.
Oral and written communication in English in academic and professional contexts. Students must show the knowledge and skills acquired during the course.
Degree in Economics
Computation and modelling in Insurance and Finance. Institute and Faculty of Actuaries. The assessment procedure for the EUS group is explained in detail in the specific course programme.
Short-answer questions with limited space for responses, focusing theoretical and practical aspects of the course. Students should upload completed tasks onto the PDU before the deadline.
Department of Econometrics, Statistics and Spanish Economy.
Palgrave handbook of econometrics. There is no mark for attendance asistencia as it is obligatory and therefore unnecessary to evaluate. To use ICT in professional work. Detection of autocorrelation; Autocorrelation tests 4. Estimation using generalized least squares; Properties of generalized least square estimators 2.
Biblioteca Central – UNSAAC catalog › Results of search for ‘su:ECONOMETRIA’
Specifically, the practical exercises will consist of responding correctly to a series of gjarati based on real economic data. Ability to work effectively in interdisciplinary teams, integrating and participating in scientific and professional teamwork, contributing ideas and respecting and valuing the diversity of views of other team members.
Definition and causes of heteroscedasticity 3. At the end of the course, the student will acquire a good working knowledge on the interpretation of the linear regression model, discriminating between alternative specifications by means of statistical inference, and using GRETL for estimation and hypothesis testing.
Biblioteca Zamorano catalog › Results of search for ‘su:”ECONOMETRIA”‘
Creative and efficient resolution of problems that arise in day-to-day, in order to ensure the highest levels of quality of professional work. The course is arranged to encourage team working by grouping approximately three students, using written and oral English as common language. To facilitate these econometeia, students can use the Virtual Campus to view the slides for each topic before the corresponding session.
Introduction to and general principles of testing 5. To carry out the development of the stages of forcasting, the course provides the knowledge, skills and ability inrroduccion analize the opportunities that the regression methods, Time-Series Decomposition and ARIMA Box-Jenkins offers. Otherwise, the final grade will be the one obtained in the final examination. Econometrics II Course unit code: Propose, plan and lead business innovation projects that ensure the competitiveness of the company.
Ability to work in an international context and innovate and adopt new approaches used in other national contexts.
Ability to apply the acquired knowledge of the functional areas of the company and the socio-economic environment. Classroom contribution refers to active participation in all classroom activities with classmates and the professor.