Conceptual Frameworks and Experimental Design in Simultaneous Equations
Using examples drawn from two important papers in the recent literature on weak instruments, we demonstrate how observed experimental outcomes can be pro- foundly inuenced by the di erent conceptual frameworks underlying two exper- imental designs commonly employed when simulating simultaneous equations
|Date of creation:||2007|
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- D. S. Poskitt & C. L. Skeels, 2004. "Approximating the Distribution of the Instrumental Variables Estimator when the Concentration Parameter is Small," Monash Econometrics and Business Statistics Working Papers 19/04, Monash University, Department of Econometrics and Business Statistics.
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NBER Technical Working Papers
0151, National Bureau of Economic Research, Inc.
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- Forchini, Giovanni & Hillier, Grant, 2003.
"Conditional Inference For Possibly Unidentified Structural Equations,"
Cambridge University Press, vol. 19(05), pages 707-743, October.
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- Donald W. K. Andrews & Marcelo J. Moreira & James H. Stock, 2006. "Optimal Two-Sided Invariant Similar Tests for Instrumental Variables Regression," Econometrica, Econometric Society, vol. 74(3), pages 715-752, 05.
- Frank Kleibergen, 2002. "Pivotal Statistics for Testing Structural Parameters in Instrumental Variables Regression," Econometrica, Econometric Society, vol. 70(5), pages 1781-1803, September.
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