On the afternoon of October 11, Beijing time, the Royal Swedish Academy of Sciences announced the 2021 Nobel Prize in Economics . Among them, economist David Card won half of the awards for his "empirical contribution to labor economics ", and economists Joshua Angrist and Guido Imbens won the other half of the awards for "methodological contributions to causality analysis".
As we all know, natural sciences such as physics, chemistry, and biology are highly dependent on experiments, while , but social sciences such as economics, cannot conduct experiments at will. After all, we cannot rush a country’s economy into an "experimental state" for the sake of academic research.
And the research of the three winners is related to "natural experiment". Nobel's official website wrote in the award speech:
They provided new insights on the labor market and showed that conclusions about causality can be drawn from natural experiments. It can be said that "natural experiments" promoted the "credibility revolution" of economics.
Many major issues in social science involve causality, such as how immigration affects wages and employment levels, how long-term education affects a person’s future income... These questions are difficult to answer because there is nothing to compare. We don't know what will happen if immigration decreases or one person does not continue to study.
This year’s winners proved that these questions can be answered through natural experiments. The key to is to use accidents or policy changes to cause different groups of people to be treated differently.
The framework developed by them-by clarifying the assumptions necessary to establish a causal relationship, has been widely adopted by researchers. Also increased the transparency of empirical research . can infer , and papers using this type of empirical research analysis method will surely become a hot topic.
On October 14 from 19:00 to 21:00, we specially invited Ma Chao, associate professor and doctoral tutor of the Department of Economics of 985 universities to bring a live lecture-"Common Misunderstandings in Empirical Analysis Starting from Data",
He will analyze some mistakes that beginners often make in writing empirical papers in the context of the "credibility revolution". Teachers or classmates who are afraid of empirical research papers or repeatedly hit the wall when submitting papers, may wish to listen to this live broadcast class, and maybe the problems that plague you will be solved!
Lecture Highlights
This lecture is very suitable for the scene: (1) Frederick’s research and design is a summary of the Nobel laureate Imbens’ recognition concept, which will run through 4 courses;
(2) The first lecture (Data--->Facts) will analyze some mistakes that beginners often make in writing empirical papers from the perspective of the credibility revolution;
(3) The second lecture (Model--- >Knowledge) will systematically explain the essence of Angrist and Imbens' thoughts of "credibility revolution", "causal inference", and "empirical research design";
(4) Lecture 3 (Facts-- >Model) The system introduces the concept of "causal identification", which will help beginners quickly understand the logic of modern empirical causal inference, and avoid detours;
(5) The last lecture (Data---> Facts--->Model--->Knowledge),Dr. Ma Chao will summarize the three steps, combine some of his experience and lessons in publishing papers in authoritative journals, and share how to use the simplest method to do a "credible" empirical research, as well as some experience in the writing and submission process.
hopes to give those students who are resistant to quantitative techniques or who are currently frustrated in submitting papers some enlightenment in scientific research writing.
Lecturer introduction
Ma Chao , associate professor of the Department of Economics of 985 universities, doctoral supervisor, Southeast University "the best young scholar". Postdoctoral Fellow of Yale University School of Public Health (Postdoctoral Fellow), and also a researcher of Global Labor Organization (GLO, Global Labor Organization). He has long been engaged in research work in health economics, micro-applied measurement, health policy management, etc., as the first author in Journal of Economic Behavior & Organization, Population Research and Policy Review, "Economics (Quarterly)", "China Industry Many academic papers have been published in authoritative journals such as Economics and Journal of Management Science. Presided over 1 general project of the National Natural Science Foundation of China, 1 youth project, and 1 project of the Natural Science Foundation of Jiangsu Province.
The course will be live broadcast and interactive online Q&A.
Limited time is 1 yuan, scan the QR code to make an appointment now.
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course outline
One of the trilogy of Frederick’s research and design: starting from Data,Common misunderstandings in empirical analysis
1. Introduction to Frederick’s research and design trilogy:
Do you think that the empirical paper is a one-step process from Data to Knowledge, or is it just a description of the results of statistical software? In fact, you have overlooked the two key artistic steps
2. Those ridiculous examples
3. Key assumptions
4. Key properties
5. Beginner's regression analysis of several common misunderstandings in understanding
After signing up, you will also enjoy the following four rights:
1. Exclusive learning exchange group: the group will uniformly conduct class reminders and collect responses to questions after class;
2. Interactive Q&A in class: Teacher Ma will give detailed answers to everyone’s questions in class;
3. Free collection of courseware materials: Free teacher Ma’s lecture notes, review the past and learn the new;
4. Free review after class: Anytime, anywhere, want to learn to learn.
Scan the QR code to make an appointment now
Teacher Ma Chao will see you on October 14th!
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In the follow-up, we will also launch three times "Can I use the simplest empirical method to publish social science authority SSCI ?" —Interpretation of classic examples & some detours and experiences in practice" advanced column class,Interested students can follow.
"Can I use the simplest empirical method to publish the social science authority SSCI? —Interpretation of classic examples & some detours and experiences in practice" syllabus
2. Frederick's research and design trilogy part 2: From Model to Knowledge, do you understand your problem?
1. The concept of causal inference under the credibility revolution
2. What is the "design" (Design-based vs. Model-based) of empirical research?
3. What is the cause and effect of empirical research (Property vs. Comparison)?
4. Back to Hume : Why do empirical papers need mechanism?
3. Frederick Research and Design Trilogy Three: From Facts to Model, Identification is an art!
1. What is the key step identification in the empirical analysis?
2. Disassemble different identification strategies
4. The return theme of Frederick's research and design trilogy: From Date to Knowledge story, only use OLS to publish authoritative SSCI examples and lessons
1. Example interpretation: Take AER classic papers as an example
2. Lessons learned: Take my publication on JEBO as an example
3. Summary: Go back to the Frederick research and design map, you ignored Which ring?
You can also share the lecture with your friends to learn together~
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