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To carry out the development of the stages of forcasting, the course provides the knowledge, skills and ability to analize the opportunities that the regression methods, Time-Series Decomposition and ARIMA Box-Jenkins offers.
Prediction in the presence of autocorrelated disturbances. Ability to incorporate ethical principles into the professional culture, giving priority to ethical commitment to customers and society. These activities will represent 40 hours of learning time. Massachusetts Institute of Technology, Ability to analyse and summarise information from several sources. These activities will represent 60 hours of learning time.
ontroduccion Understand the specific aspects of the operation, management and control of the different functional areas of the company. Students should check the PDU every week.
To facilitate these activities, students can use the Virtual Lla to view the slides for each topic before the corresponding session. Ability to develop learning strategies throughout life to be able to acquire new knowledge, by developing their own academic and professional path. In addition, independent learning activities allow students to develop the capacity to use ICT tools applicable to professional tasks.
Failure to satisfy basic hypotheses about disturbance terms 2. The percentage weightings shown above will then be applied to obtain the final grade for the subject.
This competence involves the following: Short-answer questions with limited space for responses, focusing theoretical and practical aspects of the course. After theoretical classes, there are follow up exercises and tasks to apply and students must practice new concepts.
Examination-based assessment Students who are unable to meet the continuous assessment requirements are entitled to request single assessment. 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.
Know and understand the local, national and international socio-economic context in which the companies operate and be able to interpret its impact on them. To pass the subject under the single assessment option, students must: Definition and causes of autocorrelation 4.
Qualitative endogenous variables 6. Additionally, in Introducciln II, students are assumed to have knowledge of the basic components of econometrics which are covered in the course Econometrics I. Nonlinear regression using linerar multiple resgression SW. Telephone 34 91 95 hujarati 34 91 96 45 34 91 96 The examination is held on the official date set by the Academic Council.
Repeat assessment consists of an end-of-semester examination similar to the standard single assessment option. Instrumental variables estimation and two stages least squares SW. Estimation using ordinary least squares of a non-spherical disturbance model; Properties sconometria ordinary least square estimators 2. Detecting heteroscedasticity; Testing heteroscedasticity 3.
The course discusses in detail how to make inferences under non-standard situations, relevant in Social Sciences, due to the nature of the variables in the model qualitative, transformed to allow nonlinear relations or non-observable, or to the nature of data.
Students who are unable to meet the continuous assessment requirements are entitled to request single assessment.
Oral and written communication in English in academic and professional contexts. Ability to establish and meet the most appropriate quality criteria and apply methodologies and work strategies geared towards continuous improvement. During these sessions, students can ask questions, clarify concepts and ask for additional bibliography. To conceptualize and link these databases.
There is no mark for attendance asistencia as it is obligatory and therefore unnecessary to evaluate.
Biblioteca Central – UNSAAC catalog › Results of search for ‘su:ECONOMETRIA’
The nature of econometrics and economic data SW. During theoretical classes, where the professor explain concepts orally with technological support, students must also participate with questions. Likelihood ratio, Wald and Lagrange multipliers 5. Students are tested in english. Introduction to and general principles of testing 5.