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

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Good ideas <strong>and</strong> bad regressions 772. Require data be made publicly available. Another suggestion is to require authors <strong>of</strong>accepted manuscripts to make their data sets publicly available. Although themeasure will do little to close the gap between theory <strong>and</strong> model, it will providesome checks on specification searches <strong>and</strong> proxy variable construction. With easilyaccessible data, others can try different proxies <strong>and</strong> different specifications <strong>in</strong> orderto determ<strong>in</strong>e the fragility <strong>of</strong> published regressions results. The data are still bad, butpublish<strong>in</strong>g the data may reduce the tendency to report a fragile result.There is little reason today for not requir<strong>in</strong>g all datasets be submitted to journalsalong with accepted papers. We live <strong>in</strong> the electronic age where journals have theirown websites <strong>and</strong> many accept electronic submissions. The cost <strong>of</strong> support<strong>in</strong>ga data archive must be low <strong>and</strong> fall<strong>in</strong>g but, at present, only the Journal <strong>of</strong> Bus<strong>in</strong>ess<strong>and</strong> Economics Statistics, the Economic Journal, <strong>and</strong> the Journal <strong>of</strong> Applied Econometricscurrently support data archives.3. Encourage work on proxies. Another suggestion for improvements <strong>in</strong> empiricalresearch <strong>in</strong> the PC area lies <strong>in</strong> encourag<strong>in</strong>g <strong>in</strong>creased effort <strong>in</strong> the production <strong>and</strong>exam<strong>in</strong>ation <strong>of</strong> proxy variables. Bad data beget bad regressions. To have anychance <strong>of</strong> produc<strong>in</strong>g better results, those <strong>in</strong> the PC area need to beg<strong>in</strong> with betterdata to close the gap between model <strong>and</strong> theory. Researchers should be encouraged<strong>and</strong> rewarded for produc<strong>in</strong>g good proxy variables. So far, this research hasbeen neglected <strong>in</strong> public choice <strong>and</strong> other areas <strong>of</strong> economics for two reasons:econo mists are not tra<strong>in</strong>ed to develop proxies <strong>and</strong> <strong>in</strong>dices <strong>and</strong> the work <strong>of</strong> develop<strong>in</strong>gproxy variables is not viewed by the pr<strong>of</strong>ession as “glamorous.”The area <strong>of</strong> public choice needs more studies <strong>of</strong> <strong>in</strong>dex <strong>and</strong> proxy variableconstruction. The good news is that several groups are currently <strong>in</strong>volved <strong>in</strong> theconstruction <strong>of</strong> <strong>in</strong>dices that might be useful to PC empirical researchers. The badnews is that most <strong>of</strong> these <strong>in</strong>dices are not be<strong>in</strong>g published <strong>in</strong> economics journals.Perhaps the most popular are the <strong>in</strong>dices constructed to measure economic freedom<strong>in</strong> a country. Several <strong>in</strong>dices <strong>of</strong> economic freedom exist: the Fraser Institute<strong>in</strong>dex <strong>of</strong> Gwartney et al. (1996), the Freedom House <strong>in</strong>dex <strong>in</strong> the work edited byMessick (1996), <strong>and</strong> the Heritage Foundation–Wall Street Journal <strong>in</strong>dex <strong>of</strong>Johnson et al. (1998).Although produc<strong>in</strong>g proxies is a worthy goal, the problems with bad regressionswill not disappear with better proxies alone. The PC people, by <strong>and</strong> large, do notcare about construct<strong>in</strong>g new proxies <strong>and</strong>, by <strong>and</strong> large, do not care whether theexist<strong>in</strong>g proxies are any good. Proxies simply represent another empirical opportunity.At present, the proxies that have been produced have been accepteduncritically, gobbled up, <strong>and</strong> tossed <strong>in</strong>to the same bad regressions. Construction <strong>of</strong>the <strong>in</strong>dices is the beg<strong>in</strong>n<strong>in</strong>g <strong>of</strong> the process, not the end. Indices should be constructed,dissected, <strong>and</strong> carefully exam<strong>in</strong>ed (see, for example, Caudill et al. 2000).More <strong>and</strong> better proxies can help reduce the <strong>in</strong>cidence <strong>of</strong> bad regressions. Betterproxies will lead to less data m<strong>in</strong><strong>in</strong>g. Better proxies will, perhaps, lead to thedevelopment <strong>of</strong> structural models, <strong>and</strong> better proxies may help get the <strong>in</strong>terest <strong>of</strong>the neighborhood econometrician.

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