Econometrics of Cross Section Data

Course Description

The course accentuates primary data collection via surveys and experimental design. Unlike traditional econometrics courses that rely on secondary data, students will develop and execute binary-response surveys, conduct straightforward randomized experiments, and acquire comprehensive skills in sampling, coding, and estimation. The key models discussed include the linear probability model, logit, probit, and fundamental discrete choice models. Practical laboratory sessions are designed to equip students with essential syntax skills for analyzing real-world data. An early introduction to the conceptual distinction between binary and Likert scale formats is provided to establish foundational understanding. The practical emphasis is on binary and experimental survey methodologies.

Econometrics of Cross Section Data

Evaluation Tools (Active Term)

No evaluation items have been defined.

Course outcomes

No course outcomes have been defined yet.

Course Syllabus

Reference Books & Course Materials

1. 01 Jeffery Wooldridge, Introductory Econometrics: A modern Approach-7thEd, 2020.
2. 02 Alan Agresti, Categorial Data Analysis, 2013.

Learning Outcomes

1. L01 To define quantitative survey meachanisms SOLO 2
2. L02 To categorize primary data and secondary data SOLO 4
3. L03 To process binary and categorical outcomes SOLO 3
4. L04 To illustrate the logic of survey and experimental data, code and interpret binary variables SOLO 2
5. L05 To estimate and interpret causal reasoning, with applied skills rather than mathematical derivations SOLO 5

Program Outcomes

1. P01 PO1: Engaged in insightful thinking leading to self-learning and lifelong learning.
2. P02 PO2: Established a general knowledge of economics sufficient to work independently through specific learned techniques generated via individual efforts and study.
3. P03 PO3: Reached the required knowledge and skills to understand social, economic and legal issues both within national, international and global contexts and apply theoretical knowledge of economics to practice.
4. P04 PO4: Adopted the ability to critically evaluate, analyze and interpret information gathered through the use of related statistical software programs to suggest creative solutions for economic problems and make relevant economic decisions.
5. P05 PO5: Been aware of gathering and analyzing data through the application of appropriate technological tools in an ethical and safe manner in order to generate economic decisions and policy suggestions.
6. P06 PO6: Been equipped with conceptual and analytical skills essential for team-working and collaborations for economic decision making for a variety of economic concepts in national and global environment.
7. P07 PO7: Endowed with both oral and written communication skills within the economic field to effectively study and work in an international environment
8. P08 PO8: Been able to transfer theoretical knowledge to real life economic environment: to generate policies for microeconomic and macroeconomic problems faced by individuals, firms and governments at national, international and global context.
9. P09 PO9: Developed an ability to apply economic analysis to everyday problems in real world through the development of ethical perspectives and social responsibilities at work and in personal life.

Po-Lo Matrix