THE IMPACT OF FED MONETARY POLICY SHOCKS ON INFLATION AND ECONOMIC ACTIVITY: A VECTOR AUTOREGRESSION APPROACH

Mualliflar

  • Jasurbek Nizomov ##default.groups.name.author##

##semicolon##

monetary policy; federal funds rate; Federal Reserve System; vector autoregression; impulse response functions; inflation; price puzzle; transmission mechanism.

Annotatsiya

The article estimates how an unexpected change in the federal funds rate of the Federal Reserve System (Fed) affects industrial production, unemployment and consumer prices. The analysis is based on monthly US data from January 1990 to April 2026 and uses a five-variable vector autoregression (VAR) model with recursive (Cholesky) identification; the results were checked against the 1990–2007 sub-sample, an alternative price measure, the number of lags and the ordering of the variables. After a one-standard-deviation rate shock (approximately 0.12 percentage points), industrial production rose by 0.33% after about 9 months, unemployment fell by 0.17 percentage points, and consumer prices rose by 0.14% over 48 months; that is, in the simple recursive model the theoretically expected signs were not observed for output and prices. The response of unemployment was about 2.6 times smaller in the sub-sample. It is concluded that the results are sensitive to the sample period and the identification specification, and that drawing policy conclusions from such models therefore requires strengthening identification.

##submission.citations##

Bernanke, B. S., & Blinder, A. S. (1992). The federal funds rate and the channels of monetary transmission. American Economic Review, 82(4), 901–921.

Bernanke, B. S., Boivin, J., & Eliasz, P. (2005). Measuring the effects of monetary policy: A factor-augmented vector autoregressive (FAVAR) approach. Quarterly Journal of Economics, 120(1), 387–422.

Christiano, L. J., Eichenbaum, M., & Evans, C. L. (1999). Monetary policy shocks: What have we learned and to what end? In J. B. Taylor & M. Woodford (Eds.), Handbook of Macroeconomics (Vol. 1A, pp. 65–148). Amsterdam: Elsevier.

Coibion, O. (2012). Are the effects of monetary policy shocks big or small? American Economic Journal: Macroeconomics, 4(2), 1–32.

Gertler, M., & Karadi, P. (2015). Monetary policy surprises, credit costs, and economic activity. American Economic Journal: Macroeconomics, 7(1), 44–76.

Romer, C. D., & Romer, D. H. (2004). A new measure of monetary shocks: Derivation and implications. American Economic Review, 94(4), 1055–1084.

Sims, C. A. (1980). Macroeconomics and reality. Econometrica, 48(1), 1–48.

Sims, C. A. (1992). Interpreting the macroeconomic time series facts: The effects of monetary policy. European Economic Review, 36(5), 975–1000.

Sims, C. A., Stock, J. H., & Watson, M. W. (1990). Inference in linear time series models with some unit roots. Econometrica, 58(1), 113–144.

Stock, J. H., & Watson, M. W. (2001). Vector autoregressions. Journal of Economic Perspectives, 15(4), 101–115.

Taylor, J. B. (1993). Discretion versus policy rules in practice. Carnegie-Rochester Conference Series on Public Policy, 39, 195–214.

Wu, J. C., & Xia, F. D. (2016). Measuring the macroeconomic impact of monetary policy at the zero lower bound. Journal of Money, Credit and Banking, 48(2–3), 253–291.

Federal Reserve Bank of St. Louis. (n.d.). Federal Reserve Economic Data (FRED): FEDFUNDS, UNRATE, INDPRO, CPIAUCSL, PCEPI, GS10. https://fred.stlouisfed.org

##submissions.published##

2026-10-02