Posts Tagged ‘ economics ’

I hate that “Iron Law” thing

November 13, 2017
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Dahyeon Jeong wrote: While I was reading your today’s post “Some people are so easy to contact and some people aren’t”, I’ve come across your older posts including “Edlin’s rule for routinely scaling down published estimates.” In this post you write: Also, yeah, that Iron Law thing sounds horribly misleading. I’d not heard that particular […] The post I hate that “Iron Law” thing appeared first on Statistical Modeling, Causal…

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Fitting multilevel models when predictors and group effects correlate

November 12, 2017
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Ryan Bain writes: I came across your ‘Fitting Multilevel Models When Predictors and Group Effects Correlate‘ paper that you co-authored with Dr. Bafumi and read it with great interest. I am a current postgraduate student at the University of Glasgow writing a dissertation examining explanations of Euroscepticism at the individual and country level since the […] The post Fitting multilevel models when predictors and group effects correlate appeared first on…

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“A mixed economy is not an economic abomination or even a regrettably unavoidable political necessity but a natural absorbing state,” and other notes on “Whither Science?” by Danko Antolovic

November 9, 2017
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So. I got this email one day, promoting a book that came with the following blurb: Whither Science?, by Danko Antolovic, is a series of essays that explore some of the questions facing modern science. A short read at only 41 pages, Whither Science? looks into the fundamental questions about the purposes, practices and future […] The post “A mixed economy is not an economic abomination or even a regrettably…

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Using Stan to improve rice yields

November 7, 2017
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Matt Espe writes: Here is a new paper citing Stan and the rstanarm package. Yield gap analysis of US rice production systems shows opportunities for improvement. Matthew B. Espe, Kenneth G. Cassman, Haishun Yang, Nicolas Guilpart, Patricio Grassini, Justin Van Wart, Merle Anders, Donn Beighley, Dustin Harrell, Steve Linscombe, Kent McKenzie, Randall Mutters, Lloyd T. […] The post Using Stan to improve rice yields appeared first on Statistical Modeling, Causal…

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Fifty-nine intersections supporting forty dots of data

October 31, 2017
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Fifty-nine intersections supporting forty dots of data

Kaiser Fung, creator of Junk Charts and Principal Analytics Prep, borrows an idea from Ed Tufte to remake a data graphic by the Economist on income and wealth inequality across different countries.

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Whipsaw

October 30, 2017
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Whipsaw

Kevin Lewis points to a research article by Lawton Swan, John Chambers, Martin Heesacker, and Sondre Nero, “How should we measure Americans’ perceptions of socio-economic mobility,” which reports effects of question wording on surveys on an important topic in economics. They replicated two studies: Each (independent) research team had prompted similar groups of respondents to […] The post Whipsaw appeared first on Statistical Modeling, Causal Inference, and Social Science.

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Mick Cooney: case study on modeling loss curves in insurance with RStan

October 14, 2017
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This is great. Thanks, Mick! All the Stan case studies are here. The post Mick Cooney: case study on modeling loss curves in insurance with RStan appeared first on Statistical Modeling, Causal Inference, and Social Science.

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Excel is the graveyard of charts, no!

October 5, 2017
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Excel is the graveyard of charts, no!

Kaiser Fung, creator of Junk Charts blog and founder of Principal Analytics Prep, encourages Excel users to work harder at making nice data graphics.

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Should we worry about rigged priors? A long discussion.

October 4, 2017
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Today’s discussion starts with Stuart Buck, who came across a post by John Cook linking to my post, “Bayesian statistics: What’s it all about?”. Cook wrote about the benefit of prior distributions in making assumptions explicit. Buck shared Cook’s post with Jon Baron, who wrote: My concern is that if researchers are systematically too optimistic […] The post Should we worry about rigged priors? A long discussion. appeared first on…

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“5 minutes? Really?”

October 2, 2017
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Bob writes: Daniel says this issue https://github.com/stan-dev/stan/issues/795#issuecomment-26390557117 is an easy 5-minute fix. In my ongoing role as wet blanket, let’s be realistic. It’s sort of like saying it’s an hour from here to Detroit because that’s how long the plane’s in the air. Nothing is a 5 minute fix (door to door) for Stan and […] The post “5 minutes? Really?” appeared first on Statistical Modeling, Causal Inference, and Social…

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