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Review: Soccernomics April 2, 2010

Posted by tomflesher in Academia, Book reviews.
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Soccernomics (Simon Kuper and Stefan Szymanski) – $9.99 (Kindle edition)
Overall: **** (out of five)
Recommendation: Buy

One of the first books I read with the intent of understanding the quantitative basis for it was Moneyball by Michael Lewis. Regardless of what I write on my résumé, my research interests in mechanism design, industrial organization, and price theory take a back seat to sports economics (as this blog’s faithful readers, if any, know).

For that reason, while I don’t know much about soccer, I had to read Soccernomics. The book is arranged much like Freakonomics, right down to the cover design, and takes on the format of devoting individual chapters to interesting research questions. It differs, however, in that it also devotes chapters to telling stories about game changers as opposed to analyzing data. There are numerous subchapters that follow Moneyball‘s familiar narrative format focusing on a charismatic individual as a lens through which the economics can be viewed. For example, the discussion on Guus Hiddink is a fascinating palate-cleanser that puts the authors’ theory into action rather than relying solely on the data to tell the story.

The data are, however, the backbone of Soccernomics. The authors include descriptions of their statistical techniques at a level appropriate for the non-technical reader without being frustratingly simplistic. One chapter analyzes the data on world power too deeply (yes, there is such a thing!) but comes to interesting conclusions that justify the deep discussion of world-level finishes in multiple sports.

The book tells interesting stories and is clear enough that even I could understand it despite knowing nothing about soccer (although the repeated references to ‘bottle’ still don’t make any sense to me). I would have like a technical appendix of some sort to show some of their regression results more clearly, but as it stands this is an excellent book for the technical or nontechnical reader.

Immigration and US Science PhDs March 25, 2010

Posted by tomflesher in Academia, US Politics.
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On March 21, Thomas L. Friedman published an editorial in the New York Times in which he discussed the effect of legal immigration on the supply of knowledge in the United States. Friedman demonstrated that effect by citing the proportion of recent immigrant families in this year’s Intel Talent Search.

Today, the Times published several letters in response, including one from Stuart Taylor of Los Angeles. Dr. Taylor’s letter, the second on this page, argues that the oversupply of scientists created by open immigration policy has negative effects on the United States because it leads to American scientists facing too-stiff competition for employment. Specifically,

Without stricter immigration policies, the oversupply of Ph.D.’s just gets worse and worse, with the result that in some fields immigrants are being given a large fraction of the jobs. These are science jobs that Americans want, are applying for and are being turned away from.

Wisely, Dr. Taylor does not argue that the large proportion of immigrant scientists has a negative effect on productivity in science. Rather, he argues that “It is harmful to trumpet the rest of the world’s students who are being given our jobs as “America’s Real Dream Team.”” His argument contains the assumption that given the choice between an American scientist and an immigrant scientist, there is some inherent good in favoring the American. He does not explicitly consider the possibility that the large fraction of jobs given to immigrant scientists are given to them because they are better prepared for those jobs than Americans are. Dr. Taylor would do well to consider the effects of his suggested policy of stricter immigration standards on productivity in fields employing PhD scientists. It seems evident to me that since employers are self-interested, they are employing the scientists they expect to be most productive, and as a result, the open supply of scientists from abroad leads to a net positive effect on the science produced in the United States.

Dr. Taylor does, however, mention an item of concern: the oversupply of PhDs in the current job market. This oversupply is generally attributed to one of two causes:

  1. Standards for granting a PhD are too lax, and the degree is losing its signaling value;
  2. Non-economic concerns lead students to pursue PhDs which are not necessary for their careers, leading to a glut of qualified applicants.

There is essentially no economic solution to situation (2). The solution to (1) would of course have to involve aligning incentives such that fewer PhDs are granted, but such a solution would be unpalatable and would likely have the effect of tightening admissions as well as graduation. As a result, fewer candidates who are not predicted to be highly successful would be given the chance to work toward a doctorate, and since predicting academic success is an imperfect process, it stands to reason that fewer brilliant scientists would be produced.

Instead, the solution to the oversupply of science PhDs is probably one that allows profit to be derived from them. Dr. Taylor should instead be arguing for incentives to run independent research and development labs, in order to put additional resources (i.e., unemployed scientists) to use. These incentives might take the form of tax credits or even more robust outsourcing on the part of major corporations similar to the X Prize model. After all, even a marginal PhD still has rigorous training in research methods and would present a benefit to a development lab.

Review: The Invisible Hook March 19, 2010

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The Invisible Hook (Peter Leeson) – $14.82 (Kindle edition)
Overall: *** (out of five)
Recommendation: Buy, with caveat

The Invisible Hook is a fine little pop economics book by University of Chicago Visiting Assistant Professor of Economics Peter Leeson. It follows the format of many other pop econ books, such as The Economic Naturalist, Naked Economics, and More Sex Is Safer Sex in that it asks questions about topics superficially unrelated to economics but analyzes the answers using economics as a lens. Each chapter tackles a different idea, with a title and subtitle of the format “Pirate Pun: The Economics of ______.” Chapter 6, for example, is entitled, “Pressing Pegleg: The Economics of Pirate Conscription.”

From an economic standpoint, Dr. Leeson is quite adept at explaining why seemingly counterintuitive behavior is in fact justified by economic logic. For example, Chapter 7, “Equal Pay For Equal Prey: The Economics of Pirate Tolerance” deals intelligently with the reasons why pirates often treated black shipmates as full equals rather than slaves, as for-profit ships generally would have. Using the standard rational choice framework, Dr. Leeson ably analyzes the possible actions of pirates and determines the differing results. Through the usual assumptions (mostly that people are self-interested utility maximizers), Dr. Leeson paints a picture of pirates as self-interested men who, in the interest of protecting their own ability to earn, stumbled on one of the most efficient systems of political economy available to them.

The book does have its warts, however. One minor irritation is that the chapters all take a keyhole-essay format – they begin with an introduction, then expose and analyze that material, finally concluding with a summary. As a result, Dr. Leeson’s book appears to repeat the same information at least three times in short order; this format is unusual in the pop economics literature and can seem simplistic at times.

Another quibble is not really a quibble at all but a note about intended audience. Dr. Leeson’s book seems intended for the Freakonomics crowd – those who are not trained in economics but who may or may not have taken a Principles course years ago. Though invariably correct, Dr. Leeson’s analysis is at times simplistic and left me wanting him to discuss the underlying material more deeply. A student with a stronger background in economics might do well to investigate the articles in Dr. Leeson’s CV on which the book was based.

The Invisible Hook was fun, and I recommend it, but it will be enjoyed most by people who are not formally trained in economics.

Quickie: MLB Playoffs by Pitching Statistics February 23, 2010

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It’s cold out today. Last night, Buffalo was covered in a thin layer of freezing rain. I’m trying to stay warm by turning up my hot stove the way only an economist can – crunching the numbers on playoffs.

I’m re-using the dataset from my Cy Young Predictor a few entries ago in the interest of parsimony. It contains dummy variables teamdivwin and teamwildcard which take value 1 if the pitcher’s team won the division or the wildcard respectively. I then created a variable playoffs which took the value of the sum of teamdivwin and teamwildcard – just a playoff dummy variable.

Using a Probit model and a standard OLS regression model, I estimated the effects of individual pitching stats on playoffs. Neither model has very strong predictive value (linear has R-squared of about .05), which is unsurprising since it doesn’t take the team’s batting into account at all. None of the coefficient values are shocking – in the American League (designated as lg = 1), teams have a higher probability of making the playoffs because there are fewer teams, and although complete games appear to have a negative effect, the positive shutout effect more than makes up for that in both models. I’m interested in whether complete game wins and complete game losses have differential effects – that will probably be my next snowy-day project.

Results are behind the cut.

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Research January 17, 2010

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This semester’s research note involved data collection and analysis regarding housing prices in Amherst, New York. The paper, which I’ve posted in PDF format here, contains a detailed description of my methodology and results. Data and SAS code are available by request.

With the usual caveats about sample size (as discussed in the paper), it seems that officials were systematically under-assessed and so carried a lower-than-expected property tax burden.

Cy Young gives me a headache. January 15, 2010

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As usual, I’ve started my yearly struggle against a Cy Young predictor. Bill James and Rob Neyer’s predictor (which I’ve preserved for posterity here) did a pretty poor job this year, having predicted the wrong winner in both leagues and even getting the order very wrong compared to the actual results. Inside, I’d like to share some of my pain, since I can’t seem to do much better.

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Three Catchers, Four Starters, and Other Playoff Thoughts October 26, 2009

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Last night, the LA Angels lost Game 6 of the 2009 ALCS to the New York Yankees. Mike Scioscia started left-handed pitcher Joe Saunders; he carries, as is becoming the norm, three catchers including light-hitting third catcher Bobby Wilson. Joe Girardi also carries three catchers, although his array includes defensive specialist Jose Molina, sometime-DH Jorge Posada, and Francisco Cervelli, who hit .298 in 94 at-bats this season. Though Mike Napoli was hot during the postseason, Scioscia’s group of catchers wasn’t as specialized as it was in 2005, when he carried big-hitter Bengie Molina, Jose Molina for his glove, and Josh Paul for emergencies. Here, he appeared to be carrying three catchers solely because none of them are big hitters. In retrospect, although Napoli and Mathis are both a big part of the Angels clubhouse, Scioscia should have made a move during the regular season to replace one of them with a catcher who was more of the Bengie Molina or Jorge Posada mold – someone whose glove or arm is slightly defective, but who can hit the ball when necessary. Instead, Scioscia was forced to burn two pinch hitters and a second catcher in his attempt to win the game last night, whereas Girardi has in previous games been able to use the traditional approach of starting Molina and using Posada to pinch hit, or starting Posada and using Molina as a defensive replacement late in the game. In a perfect world, Scoscia could have traded Kendry Morales away and acquired Victor Martinez to use mainly at first base and as an emergency third catcher, replacing Wilson’s more or less dead weight with a big bat but not forgoing any real utility.

In addition, Scioscia started Joe Saunders. This isn’t a crime in and of itself. However, in the ALCS, he started John Lackey, Saunders, Jered Weaver, and Scott Kazmir. Girardi, meanwhile, is using Joe Torre’s time-honored trick of carrying only three starters (CC Sabathia, Andy Pettitte, and AJ Burnett) and using traditional long-relief men like Dan Robertson in addition to standard situational relief like Joba Chamberlain, Damaso Marte, and Mariano Rivera. In Game 6, Saunders went only 3.1 innings. Weaver performed well in relief and, frankly, should have been left there for the duration of the series. Instead, Scioscia spread his men too thin and was left making an all-hands-on-deck call in the late games where he used both Weaver and Kazmir in relief. Saunders pitched brilliantly in Game 2, and Scioscia should have been prepared to maximize his usage of Lackey, Saunders, and Kazmir while leaving Weaver in the bullpen. Granted, Saunders pitched like crap last night, but all pitchers have their off nights.

Finally, Girardi will probably do quite well in the World Series, as he’s experienced in managing under National League rules. Hideki Matsui, with his legs in bad shape, will be almost entirely useless in the Phillies’ park. In a perfect world, Girardi would be able to dump fifth-outfielder Freddy Guzman and use Matsui in the field. However, that seems unlikely, so Matsui will remain an overpaid pinch-hitter. With Jerry Hairston, Jr., on the bench, Guzman’s utility as a pinch runner is moderate at best. It would be a gutsy move, but I think Girardi would do best to dump Guzman and bring Shelley Duncan in as a pinch hitter and emergency outfielder.

Still, Girardi gets paid the big bucks to do his job, so I’m sure every move he makes is well-considered.

Probability of a perfect game July 24, 2009

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Sky over at Baseball Analysts ran some probabilities using on-base percentages to calculate particular pitchers’ probabilities of pitching a perfect game once and over a career. The method’s simple enough that it’s easy to calculate for any pitcher.

Manny bidding Manny July 16, 2009

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There’s been some debate as to whether Manny Ramirez should have been allowed to make his rehab starts in AAA Albuquerque before returning to his Major League club, the Los Angeles Dodgers, after a 50-game suspension for drug use. Behind the cut, I’d like to think about some of the reasons behind the punishment and propose a solution.

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K-Rod, Castillo, and Externalities June 17, 2009

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On Friday, Luis Castillo committed an error in the bottom of the 9th inning with a one-run lead, two men on base, and two men out. The error was such that had Castillo made the play cleanly, the game would have ended with Francisco Rodriguez notching a save; however, Castillo’s error was directly responsible for two unearned runs scoring, giving Frankie a loss instead of a save.

The question: How much money does Castillo owe Rodriguez? I have a pretty good estimate.

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