Showing posts with label objectivity. Show all posts
Showing posts with label objectivity. Show all posts

Monday, January 26, 2009

Can we get a little objectivity, please?

Is economic analysis driven by science or by ideology? That seems to be a hot topic this week.

In the New York Times today, Paul Krugman claims that many anti-stimulus arguments are not made in "good faith":
"Some of these arguments are obvious cheap shots. John Boehner, the House minority leader, has already made headlines with one such shot: looking at an $825 billion plan to rebuild infrastructure, sustain essential services and more, he derided a minor provision that would expand Medicaid family-planning services — and called it a plan to 'spend hundreds of millions of dollars on contraceptives.'"
On the opposite end of the ideological spectrum, Russ Roberts argues that economists' positions on the stimulus have less to do with their reading of the empirical data than their feelings about markets in general:
"As far as I know, no prominent market-oriented economist has come out in favor of a trillion dollar increase in government spending as a way to improve the economy. Every market-skeptical economist that I have heard is in favor of it on the grounds that it will improve the economy. Each side claims to have empirical support for its position."*
Additionally, the focus of this week's episode of EconTalk, Robert's weekly economics podcast, is the role of empirical evidence in economics.

How pervasive is the issue of bias within economics? Nate Silver over at FiveThirtyEight.com has some evidence on the subject. Looking at the Wall Street Journal's monthly economic forecasting survey, Silver produces the following chart of growth forcasts by economists in different sectors, including finance, consulting and academia:



It's a small sample (55 economists), but it illustrates the point. The most optimistic growth forecasts come from economists in the financial sector, who perhaps have institutional incentives pushing them toward optimism, while the most pessimistic forecasts come from academia. Typical liberal academics, some might say!

This is not entirely new. In 2006, David Lereah, former Chief Economist for the National Association of Realtors, wrote "Why the Real Estate Boom Will Not Go Bust - And How You Can Profit From It". This was hardly an unbiased work. An economist representing the interests of realtors has a strong incentive to promote the real estate industry. Of course, less then a year after the book was published, the market started to go south and... well, you know the rest.

It's entirely likely that ideology clouds the minds of even the best economists. But is it just economists who suffer from a lack of objectivity? A recent survey of scientists' views on global warming suggests not:
"In analyzing responses by sub-groups, Doran found that climatologists who are active in research showed the strongest consensus on the causes of global warming, with 97 percent agreeing humans play a role. Petroleum geologists and meteorologists were among the biggest doubters, with only 47 and 64 percent respectively believing in human involvement." (emphasis added)
Scientists and economists are people too. People are affected by biases in subtle and unconscious ways. This, however, does not mean that there is no objectivity out there. The peer review process, for example, is designed for just this purpose: to reanalyze and replicate results and to ferret out unsubstantiated claims. As long as everyone gets to look at the same data, we should be able to find some areas of common understanding.

That being said, it's wise to listen to more than one expert and more than one perspective.

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*It should be noted that Martin Feldstein, a prominent center-right economist at Harvard, has come out in favor of fiscal stimulus.

Friday, October 24, 2008

Objectivity and Truth in Political Science

The is the first post in an Objectivity and Truth in Political Science series.

I have lived some thirty years on this planet, and I have yet to hear the first syllable of valuable or even earnest advice from my seniors. ~Henry David Thoreau, Walden.
The intellectual tradition is one of servility to power, and if I didn't betray it, I'd be ashamed of myself. ~Noam Chomsky


Science is not only the process of how individual practitioners attempt to generate new knowledge, but also the process through which one version of Truth is selected as the prevailing paradigm by the scientific community. Thomas Kuhn,in his book The Structure of Scientific Revolutions, defines ‘normal science’ as “research firmly based upon one or more past scientific achievements, achievements that some particular scientific community acknowledges for a time as supplying the foundation for its further practice”. Paul Feyerabend, in Against Method, argues that success in Big Science ”depends not only on rational argument but on a mixture of subterfuge, rhetoric, and propaganda”. This process and institution is built upon the work of individual scientists wrestling with how to study and represent the real world in a way to generate objective facts devoid of bias and personal prejudices. The issue is neither the process of individual experimentation and representation nor the collective process of truth selection and knowledge propagation are objective.

The political scientist must be cognitive of the limited objectivity available to him to make factual claims about the world around him. He must recognize that as a member of a scientific field and a society outside of academia he is ingrained with certain prejudices that will be propagated through the practice of science as currently structured. Most importantly, given this knowledge, the political scientist must not continue bull-headed down the path carved out previously, but take careful measures to reevaluate his placement within not only the political science field, but also within the other communities within which he is a part. This requires a conscience individual to reposition himself within the discipline of political science and society at large.

The second part of this series will address the fallacy we know as objectivity.