The editors have benefited from the help of a number of people in putting this volume together. We thank: John Muellbauer for comments on a draft of Chapter 1; Michael Campbell for bibliographic work; Jeannine Henderson for her careful work in preparing camera-ready copy of the articles reproduced here; Alan Jarvis, Alison Kirk, and Laura Large of Routledge for their encouragement and help with the production details; Colin Cameron, Timothy Cogley, Martin Eichenbaum, Robert Feenstra, Andrew Harvey, Dale Heien, Richard Howitt, Finn Kydland, Martine Quinzii, Steven Sheffrin, and Gregor Smith for helping us to obtain copies of the articles suitable for the reproduction in the volume.
We also acknowledge the following permissions to reprint:
The Econometric Society and Dickey and Fuller for a table from “Liklihood Ratio Statistics for Auto-regression Time Series with a Unit Root” in Econometrica, 49, 1981, pp. 12-26. The Econometric Society and N. E. Savin and K. J. White for a table from “The Durbin-Watson Test for Serial Correlation with Extreme Small Samples or Many Regressors”, Econometrica, 45, 1977, 1989-1986 as corrected by R. W. Farbrother, Econometrica, 48, September 1980, p. 1554. The American Economic Association and Finn E. Kydland and Edward C. Prescott for “The Computational Experiment: An Econometric Tool” in Journal of Economic Perspectives, vol. 10:1, Winter 1996, pp. 69-86. The American Economic Association and Lars Peter Hansen and James H. Heckman for “The Empirical Foundations of Calibration” in Journal of Economic Perspectives, vol. 10:1, Winter 1996, pp. 87-104. The American Economic Association and Gary D. Hansen and Edward C. Prescott for “Did Technology Shocks Cause the 1990-1991 Recession” in American Economic Review, vol. 83:2, May 1993, pp. 280-286. The American Economic Association and Lawrence J. Christiano and Martin Eichenbaum for “Current Real-Business Cycle Theories and Aggregate Labour Market Functions” in American Economic Review, vol. 82:3, June 1992, pp. 430-450. The American Economic