Yes, Economics is a Science.

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ESA:

The Economic Science Association (ESA) is a professional organization devoted to economics as an observational science, using controlled experiments to learn about economic behavior. The ESA welcomes participation by economists interested in the results of such experiments, as well as scholars in psychology, business, political science, and other related fields.

What is experimental economics?

Experimental methods allow us to control economic institutions, information, policies, and other important variables, both in the laboratory and in the field. Laboratory techniques also make it possible for us to observe and control variables that would not be observable in the field, such as the preferences of buyers and the costs of sellers in the trading of an artificial good.

Experiments have provided important information about economic behavior in a variety of subdisciplines of economics, including game theory, consumer behavior, industrial organization, public finance, and labor economics.

Is economics a science? Greg Mankiw and Tyler Cowen answer &#8220-yes&#8221-. See also Wikipedia.

BetFair embrace decision markets.

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Betfair has launched a series of innovative betting markets which will provide clear indications of how public opinion views the on-going debate about climate change, by allowing people to speculate on climate indices developed to track the extent (or otherwise) of global warming.

Betfair’s exchange model will create a market price for climate change related outcomes, including the HSBC Investable Climate Change Index, the ECX CFI Futures Contract, and Highest and Lowest UK Temperature. The commission that Betfair earns from operating these markets will be ring-fenced and invested in the development of technologies to tackle the wider issue of climate change.

In what is a major blow to prediction markets supporters, the Betfair press release refers to aggregating market mechanisms as &#8220-decision markets&#8221-, rather than &#8220-prediction markets&#8221–

‘Decision markets’ have historically proved to be accurate gauges of political, economic and cultural change and better forecasters of the future than opinion polls and expert forecasts. Efficient market theory suggests that these climate markets will be the best aggregation of all the available information on the subject. This is the ideal place for experts, academics, businesses and interested parties to put money behind their views on long-range forecasts.

It remains to be seen how Chris Masse responds to the Betfair announcement.

[External Links: HSBC Climate Index + Carbon Futures + Highest and Lowest UK Temperature Futures]

Polls over prediction markets?

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&#8216-Are Political Markets Really Superior to Polls as Election Predictors&#8217- is a paper by Robert Erikson and Christopher Wlezian that calls into question whether prediction markets, and specifically IEM, is as accurate as proponents of prediction markets claim. The paper was highlighted here where it was suggested that advocates of prediction markets were turning a blind eye to it.

In the paper the authors show that while when you compare IEM with raw polls, IEM outperforms the polls however when you manipulate the poll data the polls are more accurate. The generate the manipulation the authors looked at poll data from elections from 1952 onwards which show that over time the early leader tends to lose that lead. They then used that relationship to manipulate polls for elections from 1988 onwards and compared the result with the IEM forecasts. The manipulated polls showed a higher level of forecast accuracy.

I think this is an interesting piece of research but it is a stretch to use this to claim that polls are more accurate than prediction markets. The fundamental problem is that when newspapers (or anyone else for that matter) quotes polls, they don&#8217-t refine them using historical data, they quote the actual poll result. If anything the authors have shown a small bias in IEM that one would now expect to get traded out (like the longshot/favorite bias in betting markets or the January effect in financial markets).

Fundamentally, the thing to note is that while polls make prediction markets more accurate, the converse does not hold.

Decision markets are markets where speculators set prices that estimate the consequences of a decision.

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&#8230- writes Robin Hanson (who is into prediction markets since the late 80s, and who is the smartest scholar on this topic).

I would call that &#8220-decision-aid markets&#8220-, then. And I would have the term &#8220-decision markets&#8221- define the strongest form of this tool, envisioned originally by Robin Hanson (PDF file) &#8212-that is, when the execution of the market-generated decision is compulsory.

LinkedIn vs. FaceBook prediction market

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Read and Write Web:

[…] However I am interested in prediction markets, so how about we define a specific prediction and then revisit it in six months? If Facebook and/or LinkedIn were public companies, we could test our predictive powers in the stock market with real money. However because they are private companies (for now), we can just do this for fun and bragging rights. Anyway public companies are now all boring, predictable enterprises- we have to recreate the fun in the private markets.

So the prediction, we think, from Stowe is this: “In 6 months Facebook will have more of your business contacts than LinkedIn”. We&#8217-ll check back in 6 months whether that prediction comes true. […]

Their poll shows that LinkedIn has the lead over FaceBook (this early Monday morning):

LinkedIn vs. FaceBook

Maybe PopSci PPX will be interested in floating a LinkedIn vs. FaceBook event derivative. I suspect that they would like to settle such an event derivative with objective, primary data &#8212-as opposed to an online poll.

UPDATE: Latest results of the poll&#8230-

LinkedIn vs. FaceBook

REMINDER: Midas Oracle is going to make an important announcement, soon.

Rod, how do you manage to publish math on your blog?

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Rod to me:

The math plug-in is more of a built-in feature:
http://wordpress.com/blog/2007/02/17/math-for-the-masses
http://faq.wordpress.com/2007/02/18/can-i-put-math-or-equations-in-my-posts

I did not install any plug-in. Since last February [2007], WordPress.com allows math typing in Latex. Midas Oracle should allow Latex typesetting without any plug-in. Just try to write $latex LaTeX$ in a post, and see if it works :-)

Midas Oracle runs WordPress.org (as opposed to being web-hosted by WordPress.com). I will have to search for a plugin.

External Link: Using Latex in WordPress – Sounds more complex than just installing a plugin&#8230- I&#8217-m investigating&#8230- Don&#8217-t hold your breath&#8230-

Bond prices on historical and contemporary civil war outcomes

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Bond prices on historical and contemporary civil war outcomes

Previous blog posts by Chris F. Masse:

  • Prediction Markets
  • Meet professor Justin Wolfers.
  • Become “friend” with me on Google E-Mail so as to share feed items with me within Google Reader.
  • Nigel Eccles’ flawed “vision” about HubDub shows that he hasn’t any.
  • How does InTrade deal with insider trading?
  • Modern Life
  • “The Beacon” is an excellent blog published by The Independent Institute.

Small comforts of prediction markets

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Yesterday I had dinner with a friend I hadn&#8217-t seen for a few years. I asked what he&#8217-d been doing, apart from being a nerd, and he said he&#8217-d been spending too much time following the U.S. presidential campaigns (actually just the Ron Paul campaign, but that&#8217-s not particularly relevant here). I realized that I don&#8217-t do this anymore. It could be because I&#8217-m maturing, but I&#8217-ll give credit to prediction markets.

Most of the yapping in the media is about the horse race and personalities, which I don&#8217-t care about, other than the status of the former. Instead I check prices at Intrade most days, which gives me a more accurate and much more concise status update than any amount of time spent reading or watching commentary.

Furthermore, betting that candidates I detest will win and against candidates I mind less, even in small amounts, really helps me not waste time thinking (mostly distressed thoughts) about the election.

So thank you prediction markets for the time and peace of mind!