IEM721 Limited Dependent Variable Models I

6 ECTS - 3-0 Duration (T+A)- . Semester- 3 National Credit

Information

Code IEM721
Name Limited Dependent Variable Models I
Term 2024-2025 Academic Year
Semester . Semester
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 6 ECTS
National Credit 3 National Credit
Teaching Language Türkçe
Level Yüksek Lisans Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. SEDA ŞENGÜL


Course Goal / Objective

The aim of this course is to teach the regression models that are appropriate when the dependent variable is binary, ordinal, nominal , count, censored and truncated, to apply the regression models that are appropriate when the dependent variable is censored, truncated, binary, ordinal, nominal or count and to interpret the result obtaine

Course Content

the contents of this course are the structure of data set for using limited dependent variable models, the advantage of limited dependent variable models and the models like linear probability models, binary probit and binary logit models, ordered probit and ordered logit models, orderd probit and orderd logit models, multinomial probit and multinominal logit models, etc.

Course Precondition

No prerequisites are required.

Resources

D. Gujarati "Introduction to econometrics"

Notes

Lectures


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Student understands the structure of the data used in limited dependent variables models.
LO02 Students acquire the regression models that are appropriate when the dependent variable is censored, truncated, binary, ordinal, nominal or count.
LO03 Students apply the regression models that are appropriate when the dependent variable is censored, truncated, binary, ordinal, nominal or count.
LO04 Students make applications related to limited dependent models.
LO05 Students interpret the results of the analysis on limited dependent models.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Explains contemporary concepts about Econometrics, Statistics, and Operation Research 4
PLO02 Bilgi - Kuramsal, Olgusal Explains relationships between acquired knowledge about Econometrics, Statistics, and Operation Research 3
PLO03 Bilgi - Kuramsal, Olgusal Explains how to apply acquired knowledge in the field to Economics, Business, and other social sciences 2
PLO04 Beceriler - Bilişsel, Uygulamalı Performs conceptual analysis to develop solutions to problems 2
PLO05 Beceriler - Bilişsel, Uygulamalı Models problems with Mathematics, Statistics, and Econometrics 4
PLO06 Beceriler - Bilişsel, Uygulamalı Interprets the results obtained from the most appropriate method to predict the model 5
PLO07 Beceriler - Bilişsel, Uygulamalı Synthesizes the information obtained by using different sources within the framework of academic rules in a field that does not research 4
PLO08 Beceriler - Bilişsel, Uygulamalı Uses acquired knowledge in the field to determine the vision, aim, and goals for an organization/institution 2
PLO09 Beceriler - Bilişsel, Uygulamalı Searches for new approaches and methods to solve problems being faced 3
PLO10 Beceriler - Bilişsel, Uygulamalı Presents analysis results conveniently 1
PLO11 Beceriler - Bilişsel, Uygulamalı Collects/analyzes data in a purposeful way 1
PLO12 Yetkinlikler - İletişim ve Sosyal Yetkinlik Converts its findings into a master's thesis or a professional report in Turkish or a foreign language 2
PLO13 Beceriler - Bilişsel, Uygulamalı Develops solutions for organizations using Econometrics, Statistics, and Operation Research 3
PLO14 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Performs an individual work to solve a problem with Econometrics, Statistics, and Operation Research 4
PLO15 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Leads by taking responsibility individually and/or within the team 4
PLO16 Yetkinlikler - Öğrenme Yetkinliği Being aware of the necessity of lifelong learning, it constantly renews itself by following the current developments in the field of study 3
PLO17 Yetkinlikler - İletişim ve Sosyal Yetkinlik Uses a package program of Econometrics, Statistics, and Operation Research or writes a new code
PLO18 Yetkinlikler - İletişim ve Sosyal Yetkinlik Interprets the feelings, thoughts and behaviors of the related persons correctly/expresses himself/herself correctly in written and verbal form
PLO19 Yetkinlikler - Alana Özgü Yetkinlik Interprets data on economic and social events by following current issues
PLO20 Yetkinlikler - Alana Özgü Yetkinlik Applies social, scientific and professional ethical values


Week Plan

Week Topic Preparation Methods
1 Data structure in Limited Dependent Variable Models Reading related sources Öğretim Yöntemleri:
Anlatım
2 Limited Dependent Variable Models and OLS Reading related sources Öğretim Yöntemleri:
Anlatım
3 Linear probability model, Binary Probit and Binary Logit Reading related sources Öğretim Yöntemleri:
Anlatım
4 Linear probability model, Binary Probit and Binary Logi Reading related sources and preparing the data set Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
5 Linear probability model, Binary Probit and Binary Logit (II) Reading related sources, problem set and application Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
6 Ordered Probit and ordered Logit Models Reading related sources Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama
7 Ordered Probit and ordered Logit Models (II) Reading related sources, problem set and application Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama
8 Mid-Term Exam Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama
9 Multinominal Probit model and Multinominal Logit Model Reading related sources Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama
10 Multinominal Probit model and Multinominal Logit Model (II) Reading related sources, problem set and application Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama
11 Sequantial Probit and Sequential Logit Models Reading related sources Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama
12 Sequantial Probit and Sequential Logit Models (II) Reading related sources, problem set and application Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama
13 Bivariate Probit and Bivariate Logit Models Reading related sources Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama
14 Bivariate Probit and Bivariate Logit Models (II) Reading related sources, problem set and application Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama
15 Conditional Probit and Conditional Logit Models Reading related sources, problem set and application Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama
16 Term Exams Ölçme Yöntemleri:
Yazılı Sınav
17 Term Exams Ölçme Yöntemleri:
Yazılı Sınav


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 3 42
Out of Class Study (Preliminary Work, Practice) 14 5 70
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 15 15
Final Exam 1 30 30
Total Workload (Hour) 157
Total Workload / 25 (h) 6,28
ECTS 6 ECTS

Update Time: 09.05.2024 04:21