Review of Keynesian Economics

Is sticky price adjustment important for output fluctuations?

John W. Keating * * and Isaac K. Kanyama * *

Keywords: sticky price adjustment, aggregate supply and demand, moving average representation, dynamic identification restrictions


Using vector autoregressive models, this paper finds that shocks that have no immediate effect on the price level explain essentially all short-run variance of aggregate output while shocks that immediately affect price explain virtually none of that variance. Similar findings are obtained in the bivariate model using sectoral, industry-level, seasonally adjusted and non-seasonally adjusted data. In models with aggregate data, shocks that immediately raise the price level eventually cause output to fall while shocks that affect price with a lag immediately raise output and eventually cause the price level to rise. These responses combined with the variance decompositions suggest the short-run aggregate supply curve is nearly horizontal and the aggregate demand curve is essentially vertical. A statistical model that identifies shocks that don't affect prices for at least two months is also developed. In general, shocks with the slowest effect on prices explain most, if not all, of the short-run output variance. Our robust findings reject theories in which prices adjust rapidly to clear markets. However, the evidence that output and price are nearly orthogonal for a substantial amount of time is difficult to reconcile with standard models of sticky price adjustment. We also find that the vast majority of the long-horizon variance of aggregate output is explained by shocks that raise output and the price level. That finding provides support for theories of aggregate demand non-neutrality in which a positive movement in aggregate demand permanently increases the level of output.

Author Notes

We thank two anonymous referees, the editor, Bill Barnett, Jim Bullard, Steve Fazzari, Bill Gavin, Ken Matheny, Larry Meyer, Steve Russell, Chris Sims and seminar participants at the Board of Governors of the Federal Reserve, the Federal Reserve Bank of Kansas City, Washington University, Virginia Tech, Missouri, LSU, Kansas, Illinois at Chicago, Colorado at Denver, the Midwest Macroeconomics Conference at Notre Dame and the Society of Economic Dynamics and Control Meetings in Mexico City for helpful suggestions on preliminary drafts of this paper. Ben Herzon was instrumental in obtaining data for an earlier version of this paper. Isaac Kanyama thanks Economic Research Southern Africa (ERSA). Naturally, we assume full responsibility for any errors and omissions.

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