Biased estimation
In: Handbook of Econometrics
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Cited by:
- Dette, Holger & Hetzler, Benjamin, 2006. "A simple test for the parametric form of the variance function in nonparametric regression," Technical Reports 2006,07, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
- Henry-Osorio, Miguel & Mittelhammer, Ronald C., 2012. "An Information-Theoretic Approach to Modeling Binary Choices: Estimating Willingness to Pay for Recreation Site Attributes," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 123432, Agricultural and Applied Economics Association.
- Mittelhammer, Ronald C. & Judge, George G. & Schoenberg, Ron, 2003.
"Empirical Evidence Concerning the Finite Sample Performance of EL-Type Structural Equation Estimation and Inference Methods,"
CUDARE Working Papers
25090, University of California, Berkeley, Department of Agricultural and Resource Economics.
- Mittelhammer, Ron C & Judge, George G. & Schoenberg, Ron, 2003. "Empirical Evidence Concerning the Finite Sample Performance of EL-Type Structural Equation Estimation and Inference Methods," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt2xm0n02g, Department of Agricultural & Resource Economics, UC Berkeley.
- Burt, Oscar R. & Frank, Michael D. & Beattie, Bruce R., 1987. "Prior Information And Heuristic Ridge Regression For Production Function Estimation," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 12(2), pages 1-9, December.
- Pere, Pekka, 2000. "Adjusted estimates and Wald statistics for the AR(1) model with constant," Journal of Econometrics, Elsevier, vol. 98(2), pages 335-363, October.
- Shalabh, & Garg, G. & Heumann, C., 2012. "Performance of double k-class estimators for coefficients in linear regression models with non-spherical disturbances under asymmetric losses," Journal of Multivariate Analysis, Elsevier, vol. 112(C), pages 35-47.
- Bodo E. Steiner, 2004. "Australian wines in the British wine market: A hedonic price analysis," Agribusiness, John Wiley & Sons, Ltd., vol. 20(3), pages 287-307.
- Ashok Bansal & Priyanka Aggarwa, 2012. "Bayes pre-test estimation for the change point of the changing one parameter exponential family," METRON, Springer;Sapienza Università di Roma, vol. 70(1), pages 41-57, April.
- Čížek, Pavel, 2004. "(Non) Linear Regression Modeling," Papers 2004,11, Humboldt University of Berlin, Center for Applied Statistics and Economics (CASE).
- Danilov, D.L. & Magnus, J.R., 2002.
"Estimation of the Mean of a Univariate Normal Distribution When the Variance is not Known,"
Discussion Paper
2002-77, Tilburg University, Center for Economic Research.
- Danilov, D.L. & Magnus, J.R., 2002. "Estimation of the Mean of a Univariate Normal Distribution When the Variance is not Known," Other publications TiSEM 002a672b-73b6-4a8b-8901-7, Tilburg University, School of Economics and Management.
- Danilov, D.L. & Magnus, J.R., 2001.
"On the Harm that Pretesting Does,"
Other publications TiSEM
f131c709-4db4-468d-9ae8-9, Tilburg University, School of Economics and Management.
- Danilov, D.L. & Magnus, J.R., 2001. "On the Harm that Pretesting Does," Discussion Paper 2001-37, Tilburg University, Center for Economic Research.
- Steiner, Bodo E., 2002. "The Valuation Of Labelling Attributes In A Wine Market," 2002 Annual meeting, July 28-31, Long Beach, CA 19718, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
- Wan, Alan T. K. & Chaturvedi, Anoop, 2001. "Double k-Class Estimators in Regression Models with Non-spherical Disturbances," Journal of Multivariate Analysis, Elsevier, vol. 79(2), pages 226-250, November.
- S. K. Sapra, 2003. "Pre-test estimation in Poisson regression model," Applied Economics Letters, Taylor & Francis Journals, vol. 10(9), pages 541-543.
- Danilov, Dmitry & Magnus, J.R.Jan R., 2004. "On the harm that ignoring pretesting can cause," Journal of Econometrics, Elsevier, vol. 122(1), pages 27-46, September.
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JEL classification:
- C39 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Other
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