Moving to Substack

All new entries will redirect to my Substack blog.

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Interview: Refuting arguments about IQ bias & discrimination effects

This is a discussion between myself and Lipton Matthews.

Are IQ test biased?

Discrimination Does Not Explain Gaps in Social Status

Here are articles related to this discussion:

  1. Hu, M. (2017). An update on the secular narrowing of the Black-White gap in the Wordsum vocabulary test (1974-2012). Mankind Quarterly, 58(2), 324-354.
  2. Fuerst, J. G. R., Hu, M., & Connor, G. (2021). Genetic Ancestry and General Cognitive Ability in a Sample of American Youths. Mankind Quarterly, 62(1), 186–216.
  3. Hu, M. (2022). Does Mother’s Involvement Matter for The Cognitive Development of Interracial Children? Testing the Race of the Mother Hypothesis. OpenPsych.
  4. Hu, M. (2023). Does Parent Education Moderate the Effect of Adoptive Parents’ Race on Math Ability?. Mankind Quarterly, 63(4).
  5. Hu, M. (2023). On The Validity of The GSS Vocabulary Test Across Groups. OpenPsych.
  6. Fuerst, J, & Hu, M. (2023). Deep roots of admixture-related cognitive differences in the USA. Qeios. doi:10.32388/CCN648.8.
  7. Hu, M., Kirkegaard, E. O. W., & Fuerst, J. (2023). Income and Education Disparities Track Genetic Ancestry. OpenPsych, 1(1).
  8. Transracially adopted intermediate IQ : Hereditarian nonsense. Substack Blog.
  9. Affirmative action failed: An extensive and complicated literature review. Substack Blog.
  10. Gender wage gap: Why the discrimination theory (likely) fails. Substack Blog.
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Government Failure: The Strongest Argument For Protectionist Policies

Link

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The Inconvenient Truth Behind the Black-White Income and Mobility Gap

Link

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Diamond-Dybvig Model: Unrealistic Assumptions and No Historical Support

Link

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Free Banking in Canada: Why We Need Good Historians

If one searches through old historical records, one will find economists praising the success made possible by the relative freedom of the Canadian banking system. Today one would hardly find modern economists holding such views. The most recent criticism of the free banking in Canada comes from Fung et al. (2017), which paper has been reviewed in Selgin’s well documented three-part series (I, II, III). This present article will also supply additional information.

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Adoption (IQ) gain of Institutionalized, Deprived Children: So Many Problems

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Testing The Race of Mother Hypothesis: A Technical Review

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More Evidence of An Association Between European Ancestry and g Among African Americans

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Probably The Best Series On The New Deal (by Selgin)

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Pop Internationalism (Paul Krugman 1996)

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The Great Depression in Britain (1873-1896) : the Myth that Deflation Lowers Economic Growth

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An account of the good deflation in the American economy of 1870s-1890s

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The Bell Curve, 20 years after

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The Use of Tobit and Truncated Regressions for Limited Dependent Variables

The OLS regression is a widely applied technique, and many variants of the classical regression exist. Among them, are the tobit and truncated regressions. Their use is recommended when the dependent (Y) variable is constrained in some ways. Both have a common feature. The Y variable is treated as latent variable (denoted Y*) rather than observed variable. This raises several complications compared to the classical OLS.
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How to calculate and use predicted Y-values in multiple regression

Here, I will explain how to use the so-called “Yhat” or predicted values of Y when doing regression (OLS, logistic and multilevel).

(Update 2017) This article is based on my paper: Hu, M. (2017). An update on the secular narrowing of the Black-White gap in the Wordsum vocabulary test (1974-2012). Mankind Quarterly, 58(2), 324-354.

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The 1920-1921 Depression and Recovery

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Historical evidence of anti-Gresham’s Law

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Get (not so easily) introduced to R

I dislike R, unlike some other softwares I use, such as SPSS and Stata. It’s extremely error prone. But it’s free, and can do almost everything (e.g., a few things Stata cannot do and a lot of things SPSS/AMOS cannot do). As always, I will update whenever I learn something new.

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Get (easily) introduced to SPSS

I do not want to make multiple posts on this topic. So, this post will be updated little by little (if I learn something new). Here, we have a list of essential commands for creating variables, making basic (and advanced) statistical analyses. I sometimes illustrate with examples using the General Social Survey data.
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