I just ordered Programming Collective Intelligence: Building Smart Web 2.0 Applications from Amazon...
As a side project to continue developing my Python skills I am going to learn how to write scripts to implement prediction markets (and/or other collective intelligence type algorithms). I would be quite keen to see if such algorithms could be used to aggregate macro-economic forecasts. I suspect that prediction markets can be used to make macro-economic forecasts, and I would be surprised if someone was not already doing it.
As Scott Page pointed out in his excellent book The Difference: How the Power of Diversity Creates Better Groups, Firms, Schools, and Societies (New Edition), diversity of models used by participants to make forecasts is an important part of any successful prediction market. I suspect that maintaining this diversity would be difficult in macro-economic prediction markets simply because there is a limited number of variables used to predict something like GDP, or industrial production...
Blog Topics...
3D plotting
(1)
Academic Life
(2)
ACE
(18)
Adaptive Behavior
(2)
Agglomeration
(1)
Aggregation Problems
(1)
Asset Pricing
(1)
Asymmetric Information
(2)
Behavioral Economics
(1)
Breakfast
(4)
Business Cycles
(8)
Business Theory
(4)
China
(1)
Cities
(2)
Clustering
(1)
Collective Intelligence
(1)
Community Structure
(1)
Complex Systems
(42)
Computational Complexity
(1)
Consumption
(1)
Contracting
(1)
Credit constraints
(1)
Credit Cycles
(6)
Daydreaming
(2)
Decision Making
(1)
Deflation
(1)
Diffusion
(2)
Disequilibrium Dynamics
(6)
DSGE
(3)
Dynamic Programming
(6)
Dynamical Systems
(9)
Econometrics
(2)
Economic Growth
(5)
Economic Policy
(5)
Economic Theory
(1)
Education
(4)
Emacs
(1)
Ergodic Theory
(6)
Euro Zone
(1)
Evolutionary Biology
(1)
EVT
(1)
Externalities
(1)
Finance
(29)
Fitness
(6)
Game Theory
(3)
General Equilibrium
(8)
Geopolitics
(1)
GitHub
(1)
Graph of the Day
(11)
Greatest Hits
(1)
Healthcare Economics
(1)
Heterogenous Agent Models
(2)
Heteroskedasticity
(1)
HFT
(1)
Housing Market
(2)
Income Inequality
(2)
Inflation
(2)
Institutions
(2)
Interesting reading material
(2)
IPython
(1)
IS-LM
(1)
Jerusalem
(7)
Keynes
(1)
Kronecker Graphs
(3)
Krussel-Smith
(1)
Labor Economics
(1)
Leverage
(2)
Liquidity
(11)
Logistics
(6)
Lucas Critique
(2)
Machine Learning
(2)
Macroeconomics
(45)
Macroprudential Regulation
(1)
Mathematics
(23)
matplotlib
(10)
Mayavi
(1)
Micro-foundations
(10)
Microeconomic of Banking
(1)
Modeling
(8)
Monetary Policy
(4)
Mountaineering
(9)
MSD
(1)
My Daily Show
(3)
NASA
(1)
Networks
(46)
Non-parametric Estimation
(5)
NumPy
(2)
Old Jaffa
(9)
Online Gaming
(1)
Optimal Growth
(1)
Oxford
(4)
Pakistan
(1)
Pandas
(8)
Penn World Tables
(1)
Physics
(2)
Pigouvian taxes
(1)
Politics
(6)
Power Laws
(10)
Prediction Markets
(1)
Prices
(3)
Prisoner's Dilemma
(2)
Producer Theory
(2)
Python
(29)
Quant
(4)
Quote of the Day
(21)
Ramsey model
(1)
Rational Expectations
(1)
RBC Models
(2)
Research Agenda
(36)
Santa Fe
(6)
SciPy
(1)
Shakshuka
(1)
Shiller
(1)
Social Dynamics
(1)
St. Andrews
(1)
Statistics
(1)
Stocks
(2)
Sugarscape
(2)
Summer Plans
(2)
Systemic Risk
(13)
Teaching
(16)
Theory of the Firm
(4)
Trade
(4)
Travel
(3)
Unemployment
(9)
Value iteration
(2)
Visualizations
(1)
wbdata
(2)
Web 2.0
(1)
Yale
(1)
No comments:
Post a Comment