QUEUE
http://coppolacomment.blogspot.com/2013/01/when-governments-become-banks.html
https://blogs.ucl.ac.uk/resilience/2012/01/09/a-stock-answer/
http://ftalphaville.ft.com/2012/11/21/1273953/the-contrarian-corporate-liability-switch/
‘Disease Burden Links Ecology to Economic Growth’
“Tell me what the wires do”
Will Macroeconomists Ever Agree?
“Negative pigs come to feed” (On Soddy)
From mikenormaneconomics
Clint Ballinger said…
Since I mentioned it – the (very short, but in retrospect quite historically important) Frank Knight review of Wealth, Virtual Wealth and Debt, by Frederick Soddy
by Frank H. Knight
In The Saturday Review, April 16, 1927, p. 732
here
Classis debates
- Methodenstreit
- Hartshorne-Schaefer debate
- The Tierney Affair
- Willson – Lewontin/Gould/Rose
- Dawkins – Gould
- Dawkins – Wilson
- Gould’s mismeasures (Morton’s Skulls)
- Talking past each other
- Repetition (Disciplines cycling through what are really the same argument in different decades (good example: Ron Martin on Paul Krugman, Geography and Economics, here here & here )
The Tierney Affair Jungle Fever: Did two U.S. scientists start a genocidal epidemic in the Amazon, or was The New Yorker duped? By John Tooby|Posted Wednesday, Oct. 25, 2000. Slate.com Link
Gould’s mismeasures
Gould’s skulls: Is bias inevitable in science? 25 July 2011 by David DeGusta and Jason E. Lewis http://www.newscientist.com/article/mg21128225.900-goulds-skulls-is-bias-inevitable-in-science.html?full=true
Scientists Measure the Accuracy of a Racism Claim By NICHOLAS WADE Published: June 13, 2011 Study Debunks Stephen Jay Gould’s Claim of Racism on Morton http://www.nytimes.com/2011/06/14/science/14skull.html
Rebuttals
Why we need social science. Australian Policy Online Raewyn Connell. 16 September 2011 Link
Data
UCDP/PRIO Armed Conflict Dataset
Six provocations for big data
danah boyd, Kate Crawford. 2011. Link
White paper: evaluating big data analytical capabilities for Government use. Link
Can nations measure well-being? Peter Shergold. 2011. Link
Big questions and big numbers: We cannot live without big and ambitious economic models. But neither can we entirely trust them. Jul 13th 2006.The Economist. Link
February 2, 2012 9:50 pm
Entering the sense-making era of big social data
By Eric Openshaw and J.R. Reagan Link
March 2, 2012 9:50 pm
School for quants
By Sam Knight. Financial Times. Link
The Global Reach of American Social Science. The Chronicle Review. Lisa Anderson. Sept. 26, 2003. Link
An insider view on the relevance of political scientists to government.Link
The Campaign to re-brand the social scientist – The public re-construction of a diverse discipline . (Academy of Social Sciences, UK) Link
Universities Reshaping Education on the Web. Tamar Lewin. July 17, 2012. New York Times.
Online courses have been around for years, but now big-name colleges and competing software platforms have entered the field, which is evolving with astonishing speed.
Link
How To Deconstruct Almost Anything: My Postmodern Adventure
by Chip Morningstar
June 1993 Link
Student debt
(This ties into the interests of this blog from two different sides – problems with academia on the one hand, and the myopia of the cause of the current financial crisis (debt) in economics on the other
U.S. Student Debt on Scary Trajectory
By Daniel Indiviglio | Posted Wednesday, July 18, 2012. Slate.com
“In 2008, as the price of oil surged above $140 a barrel, experts said it would soon hit $200; a few months later it plunged to $30. In 1967, they said the USSR would have one of the fastest-growing economies in the year 2000; in 2000, the USSR did not exist. In 1911, it was pronounced that there would be no more wars in Europe; we all know how that turned out. Face it, experts are about as accurate as dart-throwing monkeys.Expert Political Judgment: How Good Is It? How Can We Know? Philip E. Tetlock. Princeton Univeristy Press. 2005. Amazon “Look inside” and reviews
Why Do Intellectuals Oppose Capitalism? Cato Policy Report, January/February 1998
by Robert Nozick
Robert Nozick is Arthur Kingsley Porter Professor of Philosophy at Harvard University and the author of Anarchy, State, and Utopia and other books. This article is excerpted from his essay “Why Do Intellectuals Oppose Capitalism?” which originally appeared in The Future of Private Enterprise, ed. Craig Aronoff et al. (Georgia State University Business Press, 1986) and is reprinted in Robert Nozick, Socratic Puzzles (Harvard University Press, 1997).
Our explanation of the disproportionate anti-capitalism of intellectuals is based upon a very plausible sociological generalization.
In a society where one extra-familial system or institution, the first young people enter, distributes rewards, those who do the very best therein will tend to internalize the norms of this institution and expect the wider society to operate in accordance with these norms; they will feel entitled to distributive shares in accordance with these norms or (at least) to a relative position equal to the one these norms would yield. Moreover, those constituting the upper class within the hierarchy of this first extra-familial institution who then experience (or foresee experiencing) movement to a lower relative position in the wider society will, because of their feeling of frustrated entitlement, tend to oppose the wider social system and feel animus toward its norms.
The Tyranny of Numbers: Why Counting Can’t Make Us Happy Harper Collins 2001. David Boyle Amazon
Debt: The First 5,000 Years. David Graeber. Melville House, 2011. Amazon
The Lost Science of Money: The Mythology of Money, The Story of Power. American Monetary Institute 2002. Stephen A. Zarlenga Amazon
The Truth Wears Off: Is there something wrong with the scientific method? by Jonah Lehrer. The New Yorker. DECEMBER 13, 2010. Link
The University in Ruins. Bill Readings Harvard University Press (October 30, 1997)
University, Inc.: The Corporate Corruption of Higher Education Jennifer Washburn Basic 2005
Thomas Sowell, The Vision of the Anointed: Self-Congratulation as a Basis for Social Policy. New York: Basic, 1995.
STATISTICS
Critical views of the practice of statistical inference
This page lists the following works
- McCloskey, Deirdre Nansen, and Steve Ziliak. 2008. The Cult of Statistical Significance: How the Standard Error Costs Us Jobs, Justice, and Lives. University of Michigan Press.
- Ziliak, Stephen T., and Deirdre N. McCloskey. 2004. “Size matters: the standard error of regressions in the American Economic Review.” Journal of Socio-Economics 33(5): 527-546. [ Science Direct].
- Cohen, Jacob. 1994. “The Earth is Round (p < .05).” American Psychologist 49(12), 997-1003.
- Wang, C. 1993. Sense and Nonsense of Statistical Inference. Dekker: New York.
- Armstrong, J. Scott. 2007. “Significance tests harm progress in forecasting.” International Journal of Forecasting 23(2): 321-327. [Science Direct]
- Goldstein, Joshua S. 2010. “On Asterisk Inflation.” PS: Political Science & Politics 43(01): 59-61. [Cambridge Journals]
- Rozeboom, William W. 1960. “The Fallacy of the Null-Hypoteshis Significance Test.” Psychological Bulletin. Vol. 57, 5,416-428
- McCloskey DN. 1995. The insignificance of statistical significance. Am Sci 272:32–33
- Johnson, Douglas H. , “The Insignificance of Statistical Significance Testing”. The Journal of Wildlife Management, Vol. 63, No. 3. (Jul., 1999), pp. 763-772. [JSTOR]
- Newman, Michael c. 2008. What Exactly are you Inferring? A Closer Look at Hypothesis Testing.”, Environmental Toxicology and Chemistry, Vol. 27, 5,1013–1019.
- Special Issue of the Journal of Socio-Economics, 2004 33(5)Morrison, D.E., Henkel, R.E., 1970. The Significance Test Controversy: A Reader. Aldine, Chicago.
- Altman, Morris. 2004. “Statistical significance, path dependency, and the culture of journal publication.” pp. 651-663.
- Berg, Nathan. 2004. “No-decision classification: an alternative to testing for statistical significance.” pp. 631-650.
- Elliott, Graham, and Clive W.J. Granger. 2004. “Evaluating significance: comments on ‘Size Matters’.” pp. 547-550.
- Fidler, Fiona et al. 2004. “Statistical reform in medicine, psychology and ecology.” pp. 615-630.
- Gigerenzer, Gerd. 2004. “Mindless statistics.” pp. 587-606.
- Horowitz, Joel L. 2004. “Comments on “Size Matters”. pp. 551-554.
- Leamer, Edward E. 2004. “Are the roads red? Comments on “Size Matters”. pp. 555-557.
- Lunt, Peter. 2004. “The significance of the significance test controversy: comments on ‘Size Matters’.” pp. 559-564.
- O’Brien, Anthony Patrick. 2004. “Why is the standard error of regression so low using historical data?: Comments on ‘size matters’.” pp. 565-570.
- Thompson, Bruce. 2004. “The “significance” crisis in psychology and education.” pp. 607-613.
- Thorbecke, Erik. 2004. “Economic and statistical significance: comments on ‘Size Matters’.” pp. 571-575.
- Wooldridge, Jeffrey M. 2004. “Statistical significance is okay, too: comment on ‘Size Matters’.” pp. 577-579.
- Zellner, Arnold. 2004. “To test or not to test and if so, how?: Comments on ‘Size Matters’.” pp. 581-586.
- Ziliak, Stephen T., and Deirdre N. McCloskey. 2004a. “Significance redux.” pp. 665-675.
- Ziliak, Stephen T., and Deirdre N. McCloskey. 2004b. “Size matters: the standard error of regressions in the American Economic Review.” pp. 527-546.
- Goodman, S N. 1999. “Toward evidence-based medical statistics. 1: The P value fallacy.” Annals of Internal Medicine 130(12): 995-1004.
- Koehnle, Thomas, Douglas Curran-Everett, and Dale J. Benos. 2005. “The proof is not in the P value.” Am J Physiol Regul Integr Comp Physiol 288(3): R777-778. [AJPREGU]
- Cumming, Geoff. 2011. Understanding the New Statistics: Effect Sizes, Confidence Intervals, and Meta-analysis. 1st ed. Routledge Academic. [Book website]
- Harlow. 1997. What If There Were No Significance Tests? Lawrence Erlbaum Assoc Inc.
- Wilkinson, Leland and Task Force on Statistical Inference (APA Board of Scientific Affairs).1999. “Statistical methods in psychology journals: Guidelines and explanations.” American Psychologist. Vol. 54(8): 594-604. [ Ebsco Host]
- Fidler, Fiona, Cumming Geoff, Burgman Mark, and Thomason Neil. 2004. “Statistical reform in medicine, psychology and ecology.” pp. 615-630. http://www.sciencedirect.com/science/article/B6W5H-4DW2T26-3/2/bccd93df196d8e12cae6c5e983ba8c67.
- Thompson, Bruce. 1996. “Research news and Comment: AERA Editorial Policies Regarding Statistical Significance Testing: Three Suggested Reforms.” Educational Researcher 25(2): 26-30. http://edr.sagepub.com/cgi/content/abstract/25/2/26 (Accessed April 6, 2010).
- Fidler, Fiona. 2012. From Statistical Significance to Effect Estimation. Methodological Change in Psychology, Medecine and Ecology. Psychology Pr.
- Oakes MW. Statistical Inference: A commentary for the Social and Behavioural Sciences. New York: Wiley, 1986.
- Schmidt FL. Statistical significance testing and cumulative knowledge in psychology: implications for training of researchers. Psych Methods 1: 115–29, 1996.
- Curran-Everett D and Benos DJ. Guidelines for reporting statistics in journals published by the American Physiological Society. Am J Physiol Regul Integr Comp Physiol 287: R247–R249, 2004. [AJPREGU]
- Curran-Everett D, Taylor S, and Kafadar K. Fundamental concepts in statistics: elucidation and illustration. J Appl Physiol 85: 775–786, 1998. [AJPREGU]
- Gigerenzer G. The Empire of Chance: How Probability Changed Science and Everyday Life. New York: Cambridge Univ. Press, 1989.
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The Earth Is Round (p < .05). Jacob Cohen Link
Kuhn
Groupthink
Credentialism
Bureaucracy v common sense