nhaliday + white-paper + time-preference   4

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
Less intelligent people want to exclude racists from the public square – Gene Expression
Millennials with college degrees don’t favor censorship: http://gnxp.nofe.me/2017/05/03/millennials-with-college-degrees-dont-favor-censorship/
Free Expression on Campus: A Survey of U.S. College Students and U.S. Adults: https://www.knightfoundation.org/media/uploads/publication_pdfs/FreeSpeech_campus.pdf
some scary attitudes toward "hate speech" and anonymous speech
Ironic joking and SJW meltdowns over photos of White children aside, the politically correct peeps at ACLU (who apologized for their social justice faux pas soon afterwards) were actually far more to the point than they could have possibly imagined.

Opinion polls have shown that in the US, Whites tend to have the greatest respect for freedom of speech.

asians quite low across the board

YouGov | Half of Democrats support a ban on hate speech: https://today.yougov.com/news/2015/05/20/hate-speech/
Americans narrowly support (41%) rather than oppose (37%) criminalizing hate speech

A majority of Austrian Muslims believe making fun of Islam shouldn't be allowed. Somalis, Chechens, Afghans & Syrians feel most strongly (9)

Most Liberals And Smart People Want Racists To Be Allowed To Speak: https://gnxp.nofe.me/2017/08/25/189066/
But whenever I look at the General Social Survey I see no great change in support for free speech in terms of the patterns. Perhaps something has changed in the year 2017, but I think what we are seeing are vocal and motivated minorities who are drowning out liberal (in the classical sense) majorities.

Freedom Of Thought As A Perpetual Revolution: https://gnxp.nofe.me/2017/09/13/freedom-of-thought-as-a-perpetual-revolution/
I mentioned offhand on Twitter today that I am skeptical of the tendency to brand the classically liberal emphasis on freedom of thought and speech as “centrist.” The implicit idea is that those on the Right and Left for whom liberalism is conditional, and a means at best, are radical and outside the mainstream.

This misleads us in relation to the fact that classical liberalism is the aberration both historically and culturally. Liberty of thought and speech have existed for time immemorial, but they were the luxury goods of the elite salons. Frederick the Great of Prussia had no use for religion personally, and famously patronized heretical philosophers, but he did not disturb the conservative social order of the polity which he inherited. For the masses, the discourse was delimited and regulated to maintain order and reinforce social norms.

The attempt to position the liberal stance as a centrist one is clearly historically and culturally contingent. It reflects the ascendancy of a particular strand of Anglo-American elite culture worldwide. But it is not universal. In the Islamic world and South Asia free expression of skepticism of religious ideas in public are subject to limits explicitly to maintain public order. The Islamic punishments for apostasy have less to do with the sin of individual disbelief and more to do with disruption to public norms and sedition against the state. Similarly, both China and Russia tap deeply into cultural preferences for state and elite paternalism in regards to public freedom of thought.

A chilling study shows how hostile college students are toward free speech: https://www.washingtonpost.com/opinions/a-chilling-study-shows-how-hostile-college-students-are-toward-free-speech/2017/09/18/cbb1a234-9ca8-11e7-9083-fbfddf6804c2_story.html

Americans chafe under PC oppressiveness. True across all demographics. Alt right can't emphasize free speech enough

A Run on Liberalism?: https://www.the-american-interest.com/2017/09/20/a-run-on-liberalism/
- Jason Willick

It’s also about taking a long view of our own self-interests—that is, recognizing that if we agree not to suppress the other tribe, then the other tribe just might agree, as a general rule, to not suppress us. If adhered to, it can be positive sum transaction—the free exchange of ideas ultimately makes life richer and more prosperous for everyone. Liberalism is a bargain between elites to set up institutions that allow this positive-sum process to take place despite all the forces working against it.

In fact, Americans prioritize exposing students to all types of speech on campuses, even if that speech is biased or offensive, to providing a positive learning environment for all students at the risk of barring some types of speech. Sometimes this type of question generates a politicized response, depending on the speech that respondents think may be restricted. The most recent and most publicized college incidents involve conservative speakers who have been shouted down or have had speeches on campuses canceled. On this question Democrats and Republicans may be on different sides, but liberals and conservatives agree.


Poll: Most California Democrats want to restrict free speech from white nationalists

40% non-Hispanic White, 51% Latino, 58% Af-American, 59% Asian-American

America's Many Divides Over Free Speech: https://www.theatlantic.com/politics/archive/2017/10/a-sneak-peek-at-new-survey-data-on-free-speech/542028/
A new survey explores Americans’ views on hate speech, political correctness, Nazi-punching, job terminations for offensive speech, and much more.

Well this explains a lot

Democrats..... lmao 😁

> CATO releases its own report showing that blacks & Latinos have the least attachment to libertarian ideas
> they will change nothing

The State of Free Speech and Tolerance in America: https://www.cato.org/survey-reports/state-free-speech-tolerance-america

Free speech and the Coalition of the Fringes: http://anepigone.blogspot.com/2017/11/free-speech-and-coalition-of-fringes.html

Epigonian aesthetics: http://anepigone.blogspot.com/2017/11/epigonian-aesthetics.html


European-style hate speech laws, and a SCOTUS favorable to them, will increasingly be a key goal of the left
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april 2017 by nhaliday
A Rejection of 'Broken Windows Policing' Over Race Actually Hurts Minority Neighborhoods | Manhattan Institute
Late-night slightly controversial criminal justice thread:

Proactive policing and crime control: https://www.nature.com/articles/s41562-017-0227-x
Evidence that curtailing proactive policing can reduce major crime: https://www.nature.com/articles/s41562-017-0211-5

Proactive Policing: Effects on Crime and Communities: http://sites.nationalacademies.org/dbasse/claj/proactive-policing/index.htm
This report from the Committee on Law and Justice finds evidence that a number of proactive policing practices are successful in reducing crime and disorder, at least in the short term, and that most of these strategies do not harm communities’ attitudes towards police.

Is Racial Profiling a Legitimate Strategy in the Fight against Violent Crime?: https://link.springer.com/epdf/10.1007/s11406-018-9945-1?author_access_token=nDM1xCesybebx7yUX2BxZ_e4RwlQNchNByi7wbcMAY6py69jTlOiEGDIgqW0Vv2HrAor6wlMLH695I2ykTiKUxf1RBnu1u_6gjXU-6vgh2gIy6CX2npHD9GR350T20x_TbCcq4MmJUPrxAqsJSe1QA%3D%3D
- Neven Sesardić

Are U.S. Cities Underpoliced?: http://marginalrevolution.com/marginalrevolution/2017/08/u-s-cities-underpoliced.html
Chalfin and McCrary acknowledge the endogeneity problem but they suggest that a more important reason why ordinary regression gives you poor results is that the number of police is poorly measured. Suppose the number of police jumps up and down in the data even when the true number stays constant. Fake variation obviously can’t influence real crime so when your regression “sees” a lot of (fake) variation in police which is not associated with variation in crime it’s naturally going to conclude that the effect of police on crime is small, i.e. attenuation bias.

By comparing two different measures of the number of police, Chalfin and McCrary show that a surprising amount of the ups and downs in the number of police is measurement error. Using their two measures, however, Chalfin and McCrary produce a third measure which is better than either alone. Using this cleaned-up estimate, they find that ordinary regression (with controls) gives you estimates of the effect of police on crime which are plausible and similar to those found using other techniques like natural experiments. Chalfin and McCrary’s estimates, however, are more precise since they use much more of the variation in the data.

Using these new estimates of the effect of police and crime along with estimates of the social cost of crime they conclude (as I have argued before) that U.S. cities are substantially under-policed.

Crime Imprisons and Kills: http://marginalrevolution.com/marginalrevolution/2018/01/crime-imprisons-kills.html
…The everyday lived experience of urban poverty has also been transformed. Analyzing rates of violent victimization over time, I found that the poorest Americans today are victimized at about the same rate as the richest Americans were at the start of the 1990s. That means that a poor, unemployed city resident walking the streets of an average city today has about the same chance of being robbed, beaten up, stabbed or shot as a well-off urbanite in 1993. Living in poverty used to mean living with the constant threat of violence. In most of the country, that is no longer true.

Do parole abolition and Truth-in-Sentencing deter violent crimes in Virginia?: http://link.springer.com.sci-hub.tw/article/10.1007/s00181-017-1332-4

Death penalty: https://offsettingbehaviour.blogspot.com/2011/09/death-penalty.html
And so I revise: the death penalty is wrong, and it also likely has little measurable deterrent effect. There may still be a deterrent effect; we just can't show one given available data.

The effects of DNA databases on the deterrence and detection of offenders: http://jenniferdoleac.com/wp-content/uploads/2015/03/DNA_Denmark.pdf
We exploit a large expansion of Denmark’s DNA database in 2005 to measure the effect of DNA registration on criminal behavior. Using a regression discontinuity strategy, we find that DNA registration reduces recidivism by 43%. Using rich data on the timing of subsequent charges to separate the deterrence and detection effects of DNA databases, we also find that DNA registration increases the probability that repeat offenders get caught, by 4%. We estimate an elasticity of criminal behavior with respect to the probability of detection to be -1.7. We also find suggestive evidence that DNA profiling changes non-criminal behavior: offenders added to the DNA database are more likely to get married, remain in a stable relationship, and live with their children.

Short- and long-term effects of imprisonment on future felony convictions and prison admissions: http://www.pnas.org/content/early/2017/09/26/1701544114.short
Prison isn't criminogenic—offenders have higher rates of re-incarceration because of technical parole violations
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january 2017 by nhaliday
IQ and National Productivity
National IQ and National Productivity:
The Hive Mind Across Asia: http://mason.gmu.edu/~gjonesb/JonesADR.pdf
Human Capital and National Institutional Quality: Are TIMSS, PISA, and National Average IQ Robust Predictors?: https://www.econstor.eu/bitstream/10419/102105/1/cesifo_wp4790.pdf
This will allow us to give preliminary tests of three different hypotheses about the link between cognitive skill and institutional outcomes: The weakest link theory, the median voter theory, and the smart fraction theory.

Table 3: Regression results with standardized beta coefficients. Dependent variable: Overall IPR Index. OLS with classical standard errors. IQ scores.

upper tail:
Table 4: Regression results with standardized beta coefficients. Dependent variable: Overall IPR Index. OLS with classical standard errors. CA scores.
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december 2016 by nhaliday

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