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U Chicago Economist Who Studies Media Receives Clark Medal

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楼主
发表于 4-19-2014 12:09:43 | 只看该作者 回帖奖励 |倒序浏览 |阅读模式
Nelson D Schwartz, University of Chicago Economist Who Studies Media Receives Clark Medal; Media ‘combines rich economic with political and social aspects.’ New York Times, Apr 18, 2014
www.nytimes.com/2014/04/18/busin ... es-clark-medal.html

Quote:

(a) “In a 2010 paper, Mr Gentzkow and Jesse M Shapiro, a frequent collaborator and fellow professor at Chicago Booth [School of Business], found that ideological slants in newspaper coverage typically resulted from what the audience wanted to read in the media they sought out, rather than from the newspaper owners’ biases.

“Research by Mr Gentzkow and Mr Shapiro from 2008 found that television viewing by preschool children did not hurt their test scores during adolescence. In fact, they found, there was actually a small benefit to watching television for students in homes where English was not the main language or the mother had less than a high school education.

(b) “‘His work is characterized not just by a meticulous attention to detail but the gathering of almost unfathomable data sets,’ said Austan Goolsbee, a fellow economics professor at Chicago Booth who was an economic adviser to President Obama, during his campaign for the Senate and later in the White House. ‘Before the Internet and advances in computing power, this couldn’t be done,’ Mr Goolsbee said. ‘You couldn’t analyze the data and you wouldn’t have had the ambition to try.’

Note:
(a) John Bates Clark Medal (by American Economic Association; named after the American economist John Bates Clark (1847–1938), who taught at Columbia University)  Wikipedia
(b) Mr Gentzkow “joined the University of Chicago in 2004. He earned his undergraduate degree at Harvard in 1997 and received his PhD in economics there in 2004.”

Usually it is pretty quick to obtain a PhD in economics. What happened?  See Rich Miller, Chicago’s Gentzkow Wins John Bates Clark Young Economist Award. Bloomberg, Apr 18, 2014
(“Gentzkow was educated at Harvard, where he earned a bachelor’s degree in 1997. He then took time off from school and moved to Maine, where he and his friends started a small theater company, before returning to Harvard to earn a master’s degree in 2002 and a PhD in economics in 2004. He joined the faculty of the University of Chicago’s Booth School in 2004”)
(c) The two paragraphs in quotation (a) are, respectively, scrutinized in each of the two postings next.
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沙发
 楼主| 发表于 4-19-2014 12:10:36 | 只看该作者
(2) Gentzkow M and Shapiro JM, What Drives Media Slant? Evidence from US Daily Newspapers. Econometrica, 78: 35-71 (2010).
onlinelibrary.wiley.com/doi/10.3982/ECTA7195/abstract

methodology:

“The resulting index allows us to compare newspapers to one another, though not to a benchmark of ‘true’ or ‘unbiased’ reporting.” at 36-37

“many of the phrases that our automated procedure identifies are known from other sources to be chosen strategically by politicians for their persuasive impact. Examples include ‘death tax,’ ‘tax relief,’ ‘personal account,’ and ‘war on terror’ (which we identify as strongly Republican), and ‘estate tax,’ ‘tax break,’ ‘private account,’ and ‘war in Iraq,’ (which we identify as strongly Democratic).” at 37

“An obvious concern in interpreting the relationship between slant and consumer attitudes is that it may reflect causation running from slant to consumer beliefs rather than the reverse. To address this, we show that the relationship survives when we instrument for consumer political attitudes using religiosity—a strong predictor of political preferences that is unlikely to be affected by newspaper content. These results do not mean that newspapers do not affect beliefs; indeed, our study is motivated in part by evidence that they do. Rather, our findings suggest that the effect of slant on ideology accounts for only a small part of the cross-sectional variation in ideology that identifies our model.” at 37-38

“This paper presents the first large-scale empirical evidence on the determinants of political slant in the news” at 38

“Whenever possible, we exclude opinion content. [news reports only]” at 39

“We compute slant for all English language daily newspapers available in either ProQuest or NewsLibrary for a total sample of 433 newspapers. These newspapers together represented 74 percent of the total circulation of daily newspapers in the United States in 2001.” at 40

(i) At the Wiley Web page above, click “Get PDF” in the right column to obtain full text, but it is unnecessary (besides. the article is lengthy, made up of 37 pages.
(ii) Section 3.1 Selecting Phrases for Analysis, at 43, discussed how partisans' word choices; the quotation at the bottom of page 44 explained that private (preferred by Democrats) or personal (preferred by Republicans) accounts were about privatization of social security then President George W Bush proposed in 2005 could not garner support in Congress.
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板凳
 楼主| 发表于 4-19-2014 12:11:07 | 只看该作者
(3) Gentzkow M and Shapiro JM, Preschool Television Viewing and Adolescent Test Scores: Historical Evidence From The Coleman Study. Quarterly Journal of Economics, 123: 279-323 (2008).
qje.oxfordjournals.org/content/123/1/279.short

(a) methodology (two consecutive paragraphs):

“In this paper, we identify the effect of preschool exposure to television on adolescent cognitive skills by exploiting variation in the timing of television’s introduction to US cities. Most cities first received television between the early 1940s and the mid-1950s. The exact timing was affected by a number of exogenous events, most notably a four-year freeze on licensing prompted by problems with the allocation of broadcast spectrum across cities. Once it was introduced, television was adopted rapidly by families with children. Survey evidence suggests that young children who had television in their homes during this period watched as much as three and a half hours per day, and contemporary time-use studies show reductions in a wide range of alternative activities, including sleep, homework, and outdoor play. Evidence on television ownership suggests that the diffusion of television was broad-based, reaching families in many different socioeconomic strata. Together, these facts create a promising laboratory in which to study the effects of television on children.” at 280  

“To conduct our analysis, we use data from a 1965 survey of American schools and school children, commonly referred to as the Coleman Study. The data include standardized test scores of over 300,000 students who were in grades 6, 9, and 12 in 1965. These students were born between 1948 and 1954, just as television was expanding throughout the United States. Because television entered different US markets at different times, students were exposed to varying amounts of television as preschoolers. Students in our sample range from those who had television in their local areas throughout their lives (for example, sixth graders whose areas got television between 1945 and 1954) to those whose areas only began receiving broadcasts after they reached age 6 (twelfth graders whose areas got television in 1954). Because the Coleman sample includes students of different ages within the same television market, we can identify the effects of television by comparing test scores across cohorts within a given area. This differences-in-differences approach allows us to estimate the effect of preschool television exposure on adolescent test scores, while holding constant fixed characteristics of a locale that affect test scores and might also be correlated with the timing of television introduction.” at 280-281

(b) result
(i) Table V Heterogeneity in the Effects of Preschool Television Exposure on Adolescent Test Scores was at 310, whose discussion started at 309.
(ii) Legend of Table V explained the figures in parentheses were "standard errors"--or standard deviations.
(iii) How to read Table V? At 309:

“The first two columns repeat our basic 2SLS specification for students whose mothers do and do not have a high school education.[36]  The estimated effect of a year of television exposure on the average test score is 0.04 for students whose mothers have less than a high school education, and 0.01 for students whose mothers have a high school degree. A similar pattern is present for individual test scores.” at 309 (Footnote 36 at 309 stated, "We obtain similar results using father's education to split the sample rather than mother's education.")

“The next two columns compare households where English was and was not the primary language. The estimated effects of television on verbal, reading, and general knowledge scores for students in non-English-speaking households are positive and nontrivial in magnitude. For the sample of students whose family members primarily speak English, the point estimates are still positive but are much smaller.” at 309

“These findings provide support for the hypothesis that children whose home environments were more conducive to learning were more negatively impacted by television.” at 311
(iv) Pay heed to, in quotation 2, the key word  “nontrivial”--which is equivalent to “statistically significant.” In Statistics, 0.05 tends to be the magic number whether two variables correlate: they most likely do if the number is more than 0.05 (meaning that only once out of 20 times is a fluke, by coincidence). In other words, the numbers in quotation 1 (0.1 and 0.4) were statistically INSIGNIFICANT. Early television exposure and later grades were again statistically significant for nonwhite students (0.0526 +/- 0.0489)--yet insignificant for white students (0.0026 +/- 0.0262)

(c) discussion

“As discussed in the introduction, there are important caveats to these results. First, our data speak only to the early childhood television on academic achievement in adolescence. They do not provide evidence on contemporaneous effects, nor do they provide direct evidence on the effects of television on older children [post-adolescence, that is].” at 313

“Finally, a large number of well-known educational television programs have been introduced since our sample period, many of which hage been linked to improvements in early childhood development." at 314
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