040121 UK Applied Econometrics 1 (2024S)
Prüfungsimmanente Lehrveranstaltung
Labels
An/Abmeldung
Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").
- Anmeldung von Mo 12.02.2024 09:00 bis Mi 21.02.2024 12:00
- Abmeldung bis Do 14.03.2024 23:59
Details
max. 120 Teilnehmer*innen
Sprache: Englisch
Lehrende
Termine (iCal) - nächster Termin ist mit N markiert
o These four hours contain a two hour “lecture block” and a two hour “exercise block”.
o On Tuesday 5 and 12, there will be lecture blocks only (2 times from 1.15 to 4.30pm)
- (voluntary) tutorial, 1 hour per week
- Dienstag 05.03. 13:15 - 16:30 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Donnerstag 07.03. 13:15 - 14:45 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
- Donnerstag 14.03. 13:15 - 14:45 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
- Dienstag 19.03. 13:15 - 16:30 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Donnerstag 21.03. 13:15 - 14:45 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
- Dienstag 09.04. 13:15 - 16:30 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Donnerstag 11.04. 13:15 - 14:45 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
- Dienstag 16.04. 13:15 - 16:30 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Donnerstag 18.04. 13:15 - 14:45 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
- Dienstag 23.04. 13:15 - 14:45 Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
- Dienstag 23.04. 15:00 - 16:30 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
- Donnerstag 25.04. 13:15 - 14:45 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
- Dienstag 30.04. 13:15 - 16:30 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Donnerstag 02.05. 13:15 - 14:45 Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
Information
Ziele, Inhalte und Methode der Lehrveranstaltung
The aim of the course is to provide students a thorough understanding of theoretical foundations and proper applications of basic econometric techniques of least squares estimation and related topics.Examples and applications will be illustrated using the open-source software R.In an accompanying tutorial, students will deepen the material based on exercises and applications using R. The tutorial will be offered by Yavor Iliev.
Art der Leistungskontrolle und erlaubte Hilfsmittel
Assessment
The assessment consists of the following parts:(i) Three Exams, a 45 min:
Part I, April 9, 2024, (HS 1, 13:15-14:00), on the correspond. topics covered in the course.
Part II, May 2, 2024 (HS 4 13:15-14:00); on the corresponding topics covered in the course.
Part III, May 2, 2024 (HS 4, 14:00-14:45); on R.Questions can consist of multiple-choice questions, analytical derivations and interpretations of empirical results.For the Exam the Moodle system will be used. Hence, it is necessary to have your laptops with you!ii) Take-home assignments. Students have to solve and have to hand in written assignments. They can consist of multiple-choice questions, analytical derivations, and interpretations of empirical results. Solved exercises have to be uploaded to the Moodle system before the start of the exercise part on Tuesday, no matter whether you choose to attend the exercise part Tuesday or on Thursday.Necessary material for (i-iii): you need a laptop, for all exams moodle will be used.Grading:
For the final grade the individual assignments count as follows:
i) Three exams: 75%, 25% each
ii) Assignments: 25%
iii) Extra points for class room participation in the “exercise block”, 3% per participation.Important: Aside from the three assignments, there will be no additional examination possibilities afterwards.To pass the course, a minimum level of 50% has to be reached.Rating:
[86%; 100%]: 1.0
[74%; 86%): 2.0
[62%;74%): 3.0
[50%; 62%): 4.0
[0; 50%): 5.0Examination language: Students can do the examinations in English.
The assessment consists of the following parts:(i) Three Exams, a 45 min:
Part I, April 9, 2024, (HS 1, 13:15-14:00), on the correspond. topics covered in the course.
Part II, May 2, 2024 (HS 4 13:15-14:00); on the corresponding topics covered in the course.
Part III, May 2, 2024 (HS 4, 14:00-14:45); on R.Questions can consist of multiple-choice questions, analytical derivations and interpretations of empirical results.For the Exam the Moodle system will be used. Hence, it is necessary to have your laptops with you!ii) Take-home assignments. Students have to solve and have to hand in written assignments. They can consist of multiple-choice questions, analytical derivations, and interpretations of empirical results. Solved exercises have to be uploaded to the Moodle system before the start of the exercise part on Tuesday, no matter whether you choose to attend the exercise part Tuesday or on Thursday.Necessary material for (i-iii): you need a laptop, for all exams moodle will be used.Grading:
For the final grade the individual assignments count as follows:
i) Three exams: 75%, 25% each
ii) Assignments: 25%
iii) Extra points for class room participation in the “exercise block”, 3% per participation.Important: Aside from the three assignments, there will be no additional examination possibilities afterwards.To pass the course, a minimum level of 50% has to be reached.Rating:
[86%; 100%]: 1.0
[74%; 86%): 2.0
[62%;74%): 3.0
[50%; 62%): 4.0
[0; 50%): 5.0Examination language: Students can do the examinations in English.
Mindestanforderungen und Beurteilungsmaßstab
Assessment
The assessment consists of the following parts:Part I, April 9, 2024, (HS 1, 13:15-14:00), on the correspond. topics covered in the course.
Part II, May 2, 2024 (HS 4 13:15-14:00); on the corresponding topics covered in the course.
Part III, May 2, 2024 (HS 4, 14:00-14:45); on R.Questions can consist of multiple-choice questions, analytical derivations and interpretations of empirical results.For the Exam the Moodle system will be used. Hence, it is necessary to have your laptops with you!ii) Take-home assignments. Students have to solve and have to hand in written assignments. They can consist of multiple-choice questions, analytical derivations, and interpretations of empirical results. Solved exercises have to be uploaded to the Moodle system before the start of the exercise part on Tuesday, no matter whether you choose to attend the exercise part Tuesday or on Thursday.Necessary material for (i-iii): you need a laptop, for all exams moodle will be used.Grading:
For the final grade the individual assignments count as follows:
i) Three exams: 75%, 25% each
ii) Assignments: 25%
iii) Extra points for class room participation in the “exercise block”, 3% per participation.Important: Aside from the three assignments, there will be no additional examination possibilities afterwards.To pass the course, a minimum level of 50% has to be reached.Rating:
[86%; 100%]: 1.0
[74%; 86%): 2.0
[62%;74%): 3.0
[50%; 62%): 4.0
[0; 50%): 5.0Examination language: Students can do the examinations in English.
The assessment consists of the following parts:Part I, April 9, 2024, (HS 1, 13:15-14:00), on the correspond. topics covered in the course.
Part II, May 2, 2024 (HS 4 13:15-14:00); on the corresponding topics covered in the course.
Part III, May 2, 2024 (HS 4, 14:00-14:45); on R.Questions can consist of multiple-choice questions, analytical derivations and interpretations of empirical results.For the Exam the Moodle system will be used. Hence, it is necessary to have your laptops with you!ii) Take-home assignments. Students have to solve and have to hand in written assignments. They can consist of multiple-choice questions, analytical derivations, and interpretations of empirical results. Solved exercises have to be uploaded to the Moodle system before the start of the exercise part on Tuesday, no matter whether you choose to attend the exercise part Tuesday or on Thursday.Necessary material for (i-iii): you need a laptop, for all exams moodle will be used.Grading:
For the final grade the individual assignments count as follows:
i) Three exams: 75%, 25% each
ii) Assignments: 25%
iii) Extra points for class room participation in the “exercise block”, 3% per participation.Important: Aside from the three assignments, there will be no additional examination possibilities afterwards.To pass the course, a minimum level of 50% has to be reached.Rating:
[86%; 100%]: 1.0
[74%; 86%): 2.0
[62%;74%): 3.0
[50%; 62%): 4.0
[0; 50%): 5.0Examination language: Students can do the examinations in English.
Prüfungsstoff
The linear regression model
Applications of the linear model and using R
Applications of the linear model and using R
Literatur
Dougherty, C., “Introduction to Econometrics”, 3rd ed., Oxford University Press, 2007.
Franses, P. H., van Dijk, D., and Opschoor, A., “Time Series Models for Business and Economic Forecasting”, 2nd ed., Cambridge University Press, 2014.
Heij, De Boer, Franses, Kloek, and Van Dijk, ''Econometric Methods with Applications in Business and Economics'', Oxford University Press, 2004.
Stock, J.H., Watson, M.W., ''Introduction to Econometrics'', 3rd edition, Pearson, 2012.
Studenmund, A. H. “Using Econometrics”, 6th ed., Pearson, 2011Online Literatur basierend auf R:
Franses, P. H., van Dijk, D., and Opschoor, A., “Time Series Models for Business and Economic Forecasting”, 2nd ed., Cambridge University Press, 2014.
Heij, De Boer, Franses, Kloek, and Van Dijk, ''Econometric Methods with Applications in Business and Economics'', Oxford University Press, 2004.
Stock, J.H., Watson, M.W., ''Introduction to Econometrics'', 3rd edition, Pearson, 2012.
Studenmund, A. H. “Using Econometrics”, 6th ed., Pearson, 2011Online Literatur basierend auf R:
Zuordnung im Vorlesungsverzeichnis
Letzte Änderung: Mi 31.07.2024 11:25