After university, which of these economics electives will I think, I should have taken?
Basic
27
2.8k
2026
69%
Multivariate statistics
68%
Game Theory
62%
Computer-aided Statistical Analysis
60%
Stochastic models
47%
Applied Microeconometrics
41%
Incentives and economic institutions
41%
Auctions and markets
39%
Time series analysis
32%
Introduction to Economics of Information
32%
Behavioral Economics
27%
Non-parametric statistics
25%
Monetary theory and monetary policy
25%
Economic history
25%
Behavioral Finance
24%
Experimental economic research
24%
Industrial economics
23%
Environmental economics
23%
Collective Choice
21%
Labor markets and population economics
21%
Empirical Corporate Finance

TLDR

I have to choose 6 econ courses during my undergrad. Bet on which ones, in retrospect, I'll think I should have chosen. I'll resolve those 6 to Yes and the rest to No.

About the Market

I'm doing my undergrad in economics right now. I have to take six electives in economics. I have finished 3 semesters and have 3 more to go. I can distribute the electives between the semesters whatever way I want. All courses are 6 months, most end with an exam.

This market will resolve one year after I've finished my degree. One year after I have my degree, I will resolve the market to the 6 electives that I think I should have taken during my degree.

About me:

  • I won't tell you what specific courses I find interesting, or you'd all just bet on those.

  • You probably know most relevant information about me just because I made this market.

  • I like Less Wrong, am an EA, and am pretty interested in doing good with my career, but I'm not sure yet in which way.

  • You can ask me questions.

 

Resolution details

I will take everything into consideration, such as difficulty, topic, relevance, quality of professor, etc. I will not resolve to the 6 electives that I think would have been best for me individually, but to the 6 that, in combination, would have been best for me.

E.g., I might think the best 6 courses are all micro courses, but I'd rather see a couple of different areas, so I could think that overall 2 micro, 1 stats, 1 macro, and 2 finance would be the best combination.

 

If I'm unsure about two courses, I might resolve both to 50%, or one to 20% and one to 80%. The important thing is that, overall, all probability will add up to 600%.

I probably added all available courses, but if I forgot one or if a new course is offered, I'll add it to the market.

 

Sometimes a course isn't offered; I will ignore this. E.g., if I want to take environmental economics during my sixth semester but it isn't offered for some reason, I might still resolve in favor of environmental economics.

 

Obviously I won't just resolve to the 6 courses I end up taking.

More on the Courses

Here is a short list of the econ courses the uni offers. Here is a longer description of all courses (both in German).

Get Ṁ600 play money
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Small warning:

I'm considering N/Aing options that won't be available for me to take anyway. I think this wouldn't be unfair to the traders, but if you all find this super unfair, I won't do it.

It's just that at the moment, there are a bunch of courses that are almost never offered by the university anyway, and N/Aing them would make the market more efficient/useful, I think.

So, you are all imagining me one year after Uni, probably working in my first job or at some sort of internship, and thinking to myself: "Man I wish I had taken more game theory courses"

Computer-aided Statistical Analysis

This.

bought Ṁ10 Answer #b42c8721051e NO

I'm betting based on Manifold cultural biases for profit, not based on what I actually think you should study, btw.

@Panfilo But this is itself an argument for incentive/econ classes.

@Panfilo Do you think one year after university won't be enough and waiting for longer so I have more hindsight would be better, or do you think fundamentally that predicting what I will like won't work and, e.g., just asking people or using the bounty system would be better?

@justifieduseofFallibilism The most productive method by far would be to get alums to bet on professors. Doing a long-term bounty might be pretty good though!

@Panfilo Of course you and also everyone else, can also just give me advice without betting.

Are you going to industry or academia?

@costlySignal I'd estimate a 30% chance I do a masters.

As a tip 600%/34=17.6%.
Also I won't place any bets.