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Money and Markets: Essays in Honor of Leland B. Yeager

Money and Markets: Essays in Honor of Leland B. Yeager

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74 Steven B. CaudillA bad regressionLet us look <strong>in</strong> detail at one case McCloskey considers to be a bad regression<strong>in</strong>cluded <strong>in</strong> a paper written <strong>in</strong> the area <strong>of</strong> sociology <strong>of</strong> economics. In 1992 <strong>in</strong> thejournal Economic Inquiry, Lab<strong>and</strong> <strong>and</strong> Taylor (henceforth LT), <strong>in</strong> response to anearlier work by McCloskey (1986), use econometrics to determ<strong>in</strong>e whether poorlywritten papers are less valuable than well-written papers. As a measure <strong>of</strong> value, LTuse citations <strong>and</strong> adjusted citations. As explanatory variables they <strong>in</strong>clude thelength <strong>of</strong> the article <strong>and</strong>, as a measure <strong>of</strong> reputation, the number <strong>of</strong> citations to theauthor’s work. The <strong>in</strong>dependent variables <strong>of</strong> <strong>in</strong>terest <strong>in</strong> these regression methodsare several <strong>in</strong>dicators <strong>of</strong> bad writ<strong>in</strong>g suggested by McCloskey such as: (1) words persentence; (2) number <strong>of</strong> footnotes; (3) number <strong>of</strong> footnotes that <strong>in</strong>terrupt sentences;(4) use <strong>of</strong> “bad words” such as “like” <strong>and</strong> “very”; (5) the use <strong>of</strong> “five-dollar” words;(6) the use <strong>of</strong> “is”; (7) the use <strong>of</strong> rhetorical questions; (8) the presence <strong>of</strong> table <strong>of</strong>contents paragraphs; <strong>and</strong> (9) excessive <strong>in</strong>troduction <strong>and</strong> summariz<strong>in</strong>g. Us<strong>in</strong>g thesemeasures <strong>and</strong> their regression models, LT f<strong>in</strong>d no difference <strong>in</strong> “value” or citationcount between poorly-written <strong>and</strong> well-written articles <strong>and</strong> conclude that writ<strong>in</strong>gquality does not matter.In the reply to Lab<strong>and</strong> <strong>and</strong> Taylor, McCloskey criticizes every aspect <strong>of</strong>the paper: the motivation, the “theory,” the writ<strong>in</strong>g, <strong>and</strong> the econometrics. 8In McCloskey’s op<strong>in</strong>ion, the Lab<strong>and</strong> <strong>and</strong> Taylor model is a “bad” regression.McCloskey describes their empirical work as be<strong>in</strong>g “firmly <strong>in</strong> the lower tail <strong>of</strong>modern economics.” I attempt to fit McCloskey’s criticisms <strong>of</strong> the LT paper <strong>in</strong>tomy four-po<strong>in</strong>t characterization <strong>of</strong> the PC approach to empirical research.McCloskey’s first criticism is not specific to the LT paper but is a criticism <strong>of</strong>econometrics as it is currently applied. McCloskey says, “What’s ma<strong>in</strong>ly wrong <strong>in</strong>the use <strong>of</strong> econometrics <strong>in</strong> our pr<strong>of</strong>ession is that it is not used for serious <strong>in</strong>quiry butfor reaffirm<strong>in</strong>g what everyone, especially the authors, already know.” McCloskeychides LT for us<strong>in</strong>g their econometrics to show that “Economists’ writ<strong>in</strong>g variesaccord<strong>in</strong>g to the <strong>in</strong>tended audience” (McCloskey 1992: 693).McCloskey criticizes Lab<strong>and</strong> <strong>and</strong> Taylor for us<strong>in</strong>g a very crude measure <strong>of</strong>writ<strong>in</strong>g quality. LT use the n<strong>in</strong>e easy-to-quantify <strong>in</strong>dicators given by McCloskey,<strong>in</strong>dividually, as proxies for writ<strong>in</strong>g quality. McCloskey argues that a s<strong>in</strong>gle <strong>in</strong>dex <strong>of</strong>writ<strong>in</strong>g quality is needed. As McCloskey po<strong>in</strong>ts out, the approach used by LTassumes that writers display<strong>in</strong>g excellence on one marg<strong>in</strong> would exhibit excellenceon other marg<strong>in</strong>s as well. Writers with high scores on some measures <strong>of</strong> writ<strong>in</strong>gquality might have low scores <strong>in</strong> other areas. This possibility could mean that thesample conta<strong>in</strong>s writ<strong>in</strong>g <strong>of</strong> uniformly poor quality even though scores on <strong>in</strong>dividualmeasures vary. If the writ<strong>in</strong>g is <strong>of</strong> uniformly poor quality, the f<strong>in</strong>d<strong>in</strong>g that all papersare cited about equally is not surpris<strong>in</strong>g. The problem, aga<strong>in</strong>, is that no s<strong>in</strong>glemeasure <strong>of</strong> writ<strong>in</strong>g quality is used <strong>in</strong> the empirical research. In McCloskey’s viewthis is the end <strong>of</strong> the story. The LT <strong>in</strong>strument for measur<strong>in</strong>g quality is no good, sothe project is useless.McCloskey notes that LT admit to hav<strong>in</strong>g an omitted variables problem. Theconsequence <strong>of</strong> omitted variables is <strong>in</strong>consistent estimators. McCloskey then statesthat little can be learned from the statistical failure <strong>of</strong> a misspecified model.

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