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 1. Recognized and applied all the learning tools and techniques learnt which they will implement throughout their lives and future careers.
2. P02 2. Become confident in their knowledge and skills so that they can successfully study and work on their own.
3. P03 3. Attained a high level of professionalism through the fundamental knowledge and skills gained in both marketing and digital fields.
4. P04 4. Demonstrated a solid understanding of core business principles in the primary areas of digital marketing, web technologies, new media and management, as well as the interconnectedness of these disciplines in the running of an organization.
5. P05 5. Been able to critically implement their knowledge and skills in both written, oral and digital forms to an intended audience, based on creative and analytical approaches.
6. P06 6.Demonstrated their understanding of the ethical and protected use of various new media such as social media, mobile technology, web analytics, search engine optimization, and viral advertising in both their studies and careers.
7. P07 7. Implemented best practices in business for planning, decision-making, and problem-solving based on collaborative work and studies.
8. P08 8. Demonstrated effective communication skills in addition to in-depth of analysis and synthesis which are essential in multicultural educational and work contexts.
9. P09 9. Demonstrated critical thinking characterized by the ability to define business problems with the evidence available, discern fact from opinion, determine underlying causes, formulate and evaluate potential solutions.
10. P10 10. Been able to implement ideas and concepts through the development and creation of digital content for effective social media marketing strategies, and designing and evaluating the effectiveness of interactive web sites to increase web traffic flows, visibility, consumer satisfaction and response rates.
11. P11 11. Embodied integrity in their work and actions, honor confidentiality, followed generally accepted codes of conduct in the digital marketing industry.
12. P12 12. Devoted themselves to follow the codes of ethics, improve privacy issues with social media, conflict, and citizenship in order to frame a better understanding of digital marketing.

Po-Lo Matrix