AbstractPrequential testing of a forecaster is known to be manipulable if the test must pass an informed forecaster for all possible true distributions. Stewart (2011) provides a non-manipulable prequential likelihood test that only fails an informed forecaster on a small, category I, set of distributions. We present a prequential test based on calibration that also fails the informed forecaster on at most a category I set of true distributions and is non-manipulable. Our construction sheds light on the relationship between likelihood and calibration with respect to the distributions they reject.
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Bibliographic InfoPaper provided by Stanford University, Graduate School of Business in its series Research Papers with number 2090.
Date of creation: Dec 2011
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- Lehrer, Ehud, 2001. "Any Inspection Is Manipulable," Econometrica, Econometric Society, vol. 69(5), pages 1333-47, September.
- Alvaro Sandroni, 2003. "The reproducible properties of correct forecasts," International Journal of Game Theory, Springer, vol. 32(1), pages 151-159, December.
- Eddie Dekel & Yossi Feinberg, 2006.
"Non-Bayesian Testing of a Stochastic Prediction,"
1418, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
- Ehud Kalai, 1995.
"Calibrated Forecasting and Merging,"
1144, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
- Ehud Kalai & Ehud Lehrer & Rann Smorodinsky, 2010. "Calibrated Forecasting and Merging," Levine's Working Paper Archive 584, David K. Levine.
- Ehud Kalai, 1995. "Calibrated Forecasting and Merging," Discussion Papers 1144R, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
- Nabil I. Al-Najjar & Jonathan Weinstein, 2008.
"Comparative Testing of Experts,"
Econometric Society, vol. 76(3), pages 541-559, 05.
- Shmaya, Eran, 2008. "Many inspections are manipulable," Theoretical Economics, Econometric Society, vol. 3(3), September.
- Al-Najjar, Nabil I. & Sandroni, Alvaro & Smorodinsky, Rann & Weinstein, Jonathan, 2010. "Testing theories with learnable and predictive representations," Journal of Economic Theory, Elsevier, vol. 145(6), pages 2203-2217, November.
- Yossi Feinberg & Colin Stewart, 2008.
"Testing Multiple Forecasters,"
Econometric Society, vol. 76(3), pages 561-582, 05.
- Wojciech Olszewski & Alvaro Sandroni, 2006.
"Strategic Manipulation of Empirical Tests,"
1425, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
- Wojciech Olszewski & Alvaro Sandroni, 2008.
"Manipulability of Future-Independent Tests,"
Econometric Society, vol. 76(6), pages 1437-1466, November.
- Colin Stewart, 2009.
"Nonmanipulable Bayesian Testing,"
tecipa-360, University of Toronto, Department of Economics.
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