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.
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’s the list of essential commands for creating variables, making basic (and advanced) statistical analyses.
Until now, there was no account of any episode of free banking in Belgium. I was only aware of a brief narrative in chapter 2 (by Schuler, 1992) of The Experience of Free Banking (edited by Dowd). Recently, Mardini & Schuler (2014) report a detailed story of belgian banking in the 19th century. The article is not peer-reviewed yet but is freely available here :
Free Banking in Belgium
by Patrick Mardini and Kurt Schuler
Paper for the conference “Free Banking systems: diversity in financial and economic growth”
Lund University School of Economics and Management, September 4–5, 2014
There are usually silly comments I read on the internet, but this one makes me furious. I have a list of things I have seen on the Internet that I don’t like, but this one is very special. I think it’s most likely that the place we can witness such comments more often is on websites where are gathered dumb people. Youtube for example, and other popular medias.
There are several variants of the sentence. If it’s not “don’t watch” it is “don’t read” or “don’t comment”. Whatever the case, the purpose is clear. The persons who use it do not want to be criticized. This stubborness is bothersome. There is nothing wrong with people disagreeing with others. Refusal to confront others’ ideas, not only is illustrative of complete cowardice, but also does not help to make progress and learn about one’s own error. If the authors do not want to be criticized, why are they publishing ? If people have different opinions and different knowledge on all things, criticism is impossible to avoid. The only reasonable way to deal with this, is to accept these criticisms and counter-argument. With no discussion, no consensus can be reached. But consensus is not what they are seeking. No, because they are trying to impose their views.
Earlier, I have reviewed Braden’s (1994) book, Deafness, Deprivation, and IQ. Considerable amount of studies have been conducted since then. The focus is on the validity of measures of intelligence among the deaf population, such as reliability, predictive validity, measurement properties of the tests.
Jeffery P. Braden. (1994). Deafness, deprivation, and IQ. Springer.
The book is a compilation of studies on deaf people, which concludes that cultural deprivation due to deafness lowers verbal IQ but not nonverbal IQ. Braden sought to prove Arthur Jensen wrong about his conclusions on the genetic component in racial differences in IQ. At the end, his research culminated in a trauma well known to scientific history, namely, his perfectly good theory was ruined by his data. Being born deaf does not affect g. And genetic theories are the most powerful arguments to account for the pattern of the data.
My earlier post on the empirical evidence of the ABCT was already too long. In this article, I will only add the discussion on the studies not covered earlier. I do not want to post another article each time a new study is released. I will update this article little by little. The evidence is still in favor of the ABCT.
(Last update: February 2015)
Posted in Economics
A strong assumption of time series regression, a widely used technique in econometrics, is the stationarity. It requires that the variables entered in the regression have their variances (standard deviations), covariances (auto-correlations), and means, that are independent of time. A stationary series must not wander too far from its mean. In most cases, the assumption is violated (non-stationarity, i.e., random walk) and doing such regression involves what is called a spurious regression. Possible solutions for dealing with this problem is through transformation of the variables.
Posted in Stats
IQ heritability among humans is well-known state of research. Much less has been done on chimpanzees. Hopkins et al. (2014) published a recent study that touches the subject. 99 chimpanzees, aged 9 to 54 (mean = 24.55, SD = 10.67), were given the Primate Cognition Test Battery (13-tests).
This article is short, thus I may update the post if I find new studies in the future.
I analyze the LTT NAEP achievement scores, a public data set available at NCES. In general, minority-majority ethnic groups show a secular decline in d gap, for both math and reading tests, and this occurs at all ages of assessment (9, 13, 17), and at all percentile levels. Some exceptions are noteworthy. There is no secular gain at age 17 among whites, and no meaningful decline in black-white difference for the NAEP math at ages 13 and 17. Within each year of assessment, no evidence is provided for the hypothesis that the racial gaps (notably, the black-white gap) widen with age after entering schools. There was simply no trend at all.