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ECON 511

Econometrics I

Theory and applications of time series models. Topics include ARMA and VARMA models, , Trend-Cycle decomposition, Unit roots, Cointegration, Structural change, GARCH, Regime switching and threshold models, Statespace form and Kalman filters, and specialized topics such as Fractional Integration and I(2) models.

Credit3
ECTS5
BölümEconomics
FacultyFaculty of Economics, Administrative, and Social Sciences
PrereqECON 510

Hocalar 0 bu dönem · 5 geçmiş

Geçmişte ders veren (5 kişi)
Mehmet Taner Yiğit, Mirza Trokic, Kıvılcım Metin, Hakan Berument, Asad Zaman

→ STARS müfredatı / syllabus

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↑ konuya ECON 511 yaz

Geçmiş GPA dağılımı 11 dönem · ort. 3.26

DönemCourse CPA
2023-2024 Spring 2.91 1 sec · 10 öğr
2017-2018 Fall 3.46 1 sec · 5 öğr
2016-2017 Fall 3.40 1 sec · 10 öğr
2015-2016 Fall 3.72 1 sec · 6 öğr
2014-2015 Fall 2.87 1 sec · 11 öğr
2013-2014 Fall 3.38 1 sec · 8 öğr
2011-2012 Fall 3.28 1 sec · 9 öğr
2010-2011 Fall 2.89 1 sec · 12 öğr
2009-2010 Fall 2.99 1 sec · 10 öğr
2008-2009 Fall 3.43 1 sec · 8 öğr

Aggregate course GPA — Bilkent STARS'tan public data. Hoca-bazlı per-section detayı için STARS evaluation report →. Öğrenci anket cevapları KVKK kapsamında defter'de tutulmaz.

Müfredat detayı STARS syllabus

📚 Önerilen kaynaklar

  • Önerilen Time Series Analysis Hamilton

⚖️ Değerlendirme

  • 25% — Midterm:Essay/written: Midterm (×1)
  • 10% — Paper Proposal: Project proposal (×1)
  • 10% — In-class participation: Participation (×1)
  • 20% — Homework: HW (×1)
  • 35% — Papers(s)/Reports: Final Project (×1)

⚠️ FZ engelleyen şartlar

Course Learning Outcomes: Course Learning Outcome Assessment Can evaluate which econometric technique to use under varying conditions (K1) Midterm HW Can use various statistical software to estimate econometric models and analyze output(S1) Participation HW Can generate ideas and motivate them, also finding the method and the data to investigate the question proposed (L5) Project proposal Can complete original econometric analysis in the form of a research article (W1) Final Project

📅 Haftalık müfredat

Introduction ARMA models Vector Autoregression models Trend and Cycle Decomposition Nonstationarity and Unit Roots (Brownian Motion) Unit Root Testing Cointegration Structural Change GARCH models State Space Form and Kalman Filters Frequency Analysis Fractional Integration Regime Switching and Threshold Models ECTS - Workload Table: Activities Number Hours Workload Project (including preparation and presentation if applicable) 1 25 25 Course hours 14 3 42 Individual or group work 14 4 56 Report (including preparation and presentation if applicable) 1 5 5 Midterm exam 1 2 2 Homework 1 5 5 Preparation for Midterm exam 1 20 20 Total Workload: 155 Total Workload / 30: 155 / 30 5.17 ECTS Credits of the Course: 5 Type of Course: Lecture - Project Teaching Methods: Lecture - Assignment - Exercises - Practical session