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Manifold – man·i·fold /ˈmanəˌfōld/ many and various.
https://infoproc.blogspot.com/2019/01/a-grand-experiment.html
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The Billionaire Life
MMA / UFC
What Millennials think us old folks don't understand
True things that you are not allowed to say
Bubbles that are ready to pop?
Under-appreciated Genius?
Overrated Crap and Frauds?
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17 days ago by nhaliday
Adam Smith, David Hume, Liberalism, and Esotericism - Call for Papers - Elsevier
https://twitter.com/davidmanheim/status/963071765995032576
https://archive.is/njT4P
A very good economics journal--famously an outlet for rigorous, outside the box thinking--is publishing a special issue on hidden meanings in the work of two of the world's greatest thinkers.

Another sign the new Straussian age is upon us: Bayesians update accordingly!
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february 2018 by nhaliday
Team *Decorations Until Epiphany* on Twitter: "@RoundSqrCupola maybe just C https://t.co/SFPXb3qrAE"
https://archive.is/k0fsS
Remember ‘BRICs’? Now it’s just ICs.
--
maybe just C
Solow predicts that if 2 countries have the same TFP, then the poorer nation should grow faster. But poorer India grows more slowly than China.

Solow thinking leads one to suspect India has substantially lower TFP.

Recent growth is great news, but alas 5 years isn't the long run!

FWIW under Solow conditional convergence assumptions--historically robust--the fact that a country as poor as India grows only a few % faster than the world average is a sign they'll end up poorer than S Europe.

see his spreadsheet here: http://mason.gmu.edu/~gjonesb/SolowForecast.xlsx
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december 2017 by nhaliday
Global Evidence on Economic Preferences
- Benjamin Enke et al

This paper studies the global variation in economic preferences. For this purpose, we present the Global Preference Survey (GPS), an experimentally validated survey dataset of time preference, risk preference, positive and negative reciprocity, altruism, and trust from 80,000 individuals in 76 countries. The data reveal substantial heterogeneity in preferences across countries, but even larger within-country heterogeneity. Across individuals, preferences vary with age, gender, and cognitive ability, yet these relationships appear partly country specific. At the country level, the data reveal correlations between preferences and bio-geographic and cultural variables such as agricultural suitability, language structure, and religion. Variation in preferences is also correlated with economic outcomes and behaviors. Within countries and subnational regions, preferences are linked to individual savings decisions, labor market choices, and prosocial behaviors. Across countries, preferences vary with aggregate outcomes ranging from per capita income, to entrepreneurial activities, to the frequency of armed conflicts.

...

This paper explores these questions by making use of the core features of the GPS: (i) coverage of 76 countries that represent approximately 90 percent of the world population; (ii) representative population samples within each country for a total of 80,000 respondents, (iii) measures designed to capture time preference, risk preference, altruism, positive reciprocity, negative reciprocity, and trust, based on an ex ante experimental validation procedure (Falk et al., 2016) as well as pre-tests in culturally heterogeneous countries, (iv) standardized elicitation and translation techniques through the pre-existing infrastructure of a global polling institute, Gallup. Upon publication, the data will be made publicly available online. The data on individual preferences are complemented by a comprehensive set of covariates provided by the Gallup World Poll 2012.

...

The GPS preference measures are based on twelve survey items, which were selected in an initial survey validation study (see Falk et al., 2016, for details). The validation procedure involved conducting multiple incentivized choice experiments for each preference, and testing the relative abilities of a wide range of different question wordings and formats to predict behavior in these choice experiments. The particular items used to construct the GPS preference measures were selected based on optimal performance out of menus of alternative items (for details see Falk et al., 2016). Experiments provide a valuable benchmark for selecting survey items, because they can approximate the ideal choice situations, specified in economic theory, in which individuals make choices in controlled decision contexts. Experimental measures are very costly, however, to implement in a globally representative sample, whereas survey measures are much less costly.⁴ Selecting survey measures that can stand in for incentivized revealed preference measures leverages the strengths of both approaches.

The Preference Survey Module: A Validated Instrument for Measuring Risk, Time, and Social Preferences: http://ftp.iza.org/dp9674.pdf

Table 1: Survey items of the GPS

Figure 1: World maps of patience, risk taking, and positive reciprocity.
Figure 2: World maps of negative reciprocity, altruism, and trust.

Figure 3: Gender coefficients by country. For each country, we regress the respective preference on gender, age and its square, and subjective math skills, and plot the resulting gender coefficients as well as their significance level. In order to make countries comparable, each preference was standardized (z-scores) within each country before computing the coefficients.

Figure 4: Cognitive ability coefficients by country. For each country, we regress the respective preference on gender, age and its square, and subjective math skills, and plot the resulting coefficients on subjective math skills as well as their significance level. In order to make countries comparable, each preference was standardized (z-scores) within each country before computing the coefficients.

Figure 5: Age profiles by OECD membership.

Table 6: Pairwise correlations between preferences and geographic and cultural variables

Figure 10: Distribution of preferences at individual level.
Figure 11: Distribution of preferences at country level.

interesting digression:
D Discussion of Measurement Error and Within- versus Between-Country Variation
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october 2017 by nhaliday
Why are children in the same family so different from one another? - PubMed - NCBI
- Plomin et al

The article has three goals: (1) To describe quantitative genetic methods and research that lead to the conclusion that nonshared environment is responsible for most environmental variation relevant to psychological development, (2) to discuss specific nonshared environmental influences that have been studied to date, and (3) to consider relationships between nonshared environmental influences and behavioral differences between children in the same family. The reason for presenting this article in BBS is to draw attention to the far-reaching implications of finding that psychologically relevant environmental influences make children in a family different from, not similar to, one another.
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october 2017 by nhaliday
Does Learning to Read Improve Intelligence? A Longitudinal Multivariate Analysis in Identical Twins From Age 7 to 16
Stuart Richie, Bates, Plomin

SEM: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4354297/figure/fig03/

The variance explained by each path in the diagrams included here can be calculated by squaring its path weight. To take one example, reading differences at age 12 in the model shown in Figure​Figure33 explain 7% of intelligence differences at age 16 (.262). However, since our measures are of differences, they are likely to include substantial amounts of noise: Measurement error may produce spurious differences. To remove this error variance, we can take an estimate of the reliability of the measures (generally high, since our measures are normed, standardized tests), which indicates the variance expected purely by the reliability of the measure, and subtract it from the observed variance between twins in our sample. Correcting for reliability in this way, the effect size estimates are somewhat larger; to take the above example, the reliability-corrected effect size of age 12 reading differences on age 16 intelligence differences is around 13% of the “signal” variance. It should be noted that the age 12 reading differences themselves are influenced by many previous paths from both reading and intelligence, as illustrated in Figure​Figure33.

...

The present study provided compelling evidence that improvements in reading ability, themselves caused purely by the nonshared environment, may result in improvements in both verbal and nonverbal cognitive ability, and may thus be a factor increasing cognitive diversity within families (Plomin, 2011). These associations are present at least as early as age 7, and are not—to the extent we were able to test this possibility—driven by differences in reading exposure. Since reading is a potentially remediable ability, these findings have implications for reading instruction: Early remediation of reading problems might not only aid in the growth of literacy, but may also improve more general cognitive abilities that are of critical importance across the life span.

Does Reading Cause Later Intelligence? Accounting for Stability in Models of Change: http://sci-hub.tw/10.1111/cdev.12669
Results from a state–trait model suggest that reported effects of reading ability on later intelligence may be artifacts of previously uncontrolled factors, both environmental in origin and stable during this developmental period, influencing both constructs throughout development.
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september 2017 by nhaliday
Love Thy Neighbor? Ethnoracial Diversity and Trust Reexamined: American Journal of Sociology: Vol 121, No 3
For whites, heterogeneity means more out-group neighbors; for nonwhites, heterogeneity means more in-group neighbors. Therefore, separate analyses were conducted by ethnoracial groups. Only for whites does living among out-group members—not in diverse communities per se—negatively predict trust.

doesn't really change the essential lesson
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september 2017 by nhaliday
A cross-country empirical test of cognitive abilities and innovation nexus - Munich Personal RePEc Archive
In this study we analyze the relationship between national cognitive abilities and innovational output using data from 124 countries of the world. By employing cross-country IQ scores traditionally used by psychological literature to represent national intelligence, and Economic Complexity Index as a novel measure of innovation, our study shows that there is a positive connection between them. We use a variety of tests to check the robustness of the nexus. Overall, our findings indicate that more intelligent nations export more sophisticated and diverse products to the world market and thus are more innovative. Therefore, developing countries should consider investing in human capital and related institutions if they are to boost innovative capabilities and move up the technology ladder in producing and exporting sophisticated and varied lines of products. This should bring them greater economic diversity which could be a right lever in mitigating negative external shocks.
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september 2017 by nhaliday
The Once and Future Khan | West Hunter
Razib Khan managed to get himself hired and fired by the New York Times over the course of a single day, an enviable record.  Having the Times look upon you with favor is a dubious honor in the first place, something like having a leper ask you out on a date – so a quick hire-and-fire is optimal. Something for the CV, but you never had to actually hang out with the slimebags.  Not as cool as ‘refused the Fields Medal’,  but pretty cool.

I am not Razib, and I disagree with him on some things of importance: but I look forward to the day, a few years hence, when Razib is still cursing the ignorant commenters, while the New York Times is one with the dust of Nineveh and Tyre.
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september 2017 by nhaliday

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