scholarly journals Inflation Dynamics and Time-Varying Volatility: New Evidence and an Ss Interpretation *

2013 ◽  
Vol 129 (1) ◽  
pp. 215-258 ◽  
Author(s):  
Joseph Vavra

Abstract Is monetary policy less effective at increasing real output during periods of high volatility than during normal times? In this article, I argue that greater volatility leads to an increase in aggregate price flexibility so that nominal stimulus mostly generates inflation rather than output growth. To do this, I construct price-setting models with “volatility shocks” and show these models match new facts in CPI micro data that standard price-setting models miss. I then show that these models imply that output responds less to nominal stimulus during times of high volatility. Furthermore, because volatility is countercyclical, this implies that nominal stimulus has smaller real effects during downturns. For example, the estimated output response to additional nominal stimulus in September 1995, a time of low volatility, is 55% larger than the response in October 2001, a time of high volatility.

2014 ◽  
Vol 19 (3) ◽  
pp. 477-507 ◽  
Author(s):  
John W. Keating ◽  
Victor J. Valcarcel

A time-varying-parameter VAR for real output growth and inflation is estimated with annual U.S. series dating back to 1870. Volatility for both variables rises quickly with World War I and its aftermath, stays high until the end of World War II, and drops rapidly until the 1960s. This Postwar Moderation yields the largest decline in volatilities, surpassing the Great Moderation. Conditional on temporary shocks, inflation and output growth are positively correlated. Our model implies that aggregate demand played a key role in inflation volatility fluctuations. Conversely, the two variables are negatively correlated conditional on permanent shocks. Our model suggests that aggregate supply played an important role in output volatility fluctuations. Most impulse responses support an aggregate supply interpretation for permanent shocks. However, before World War I, a permanent increase in output raised the price level at longer horizons, and these responses are frequently statistically significant. This evidence supports the hypothesis that aggregate demand had a long-run positive effect on output during the pre–World War I period.


2003 ◽  
Vol 1 (2-3) ◽  
pp. 731-742 ◽  
Author(s):  
Jean-Bernard Chatelain ◽  
Michael Ehrmann ◽  
Andrea Generale ◽  
Jorge Martínez-Pagés ◽  
Philip Vermeulen ◽  
...  

2017 ◽  
Vol 56 (5) ◽  
pp. 1601-1621 ◽  
Author(s):  
Aktham I. Maghyereh ◽  
Basil Awartani ◽  
Osama D. Sweidan

2009 ◽  
Vol 8 (1) ◽  
pp. 69-98 ◽  
Author(s):  
Maria Socorro Gochoco-Bautista

This study provides empirical evidence for the proposition that asset price booms matter because they tend to bring about the worst output, price, and inflation outcomes in the case of eight East Asian countries, namely, Hong Kong SAR, Indonesia, Japan, Korea, Malaysia, the Philippines, Singapore, and Thailand. The main findings are: (i) asset price booms in housing and equity markets, especially in housing, significantly lower the conditional mean of real output growth and raise those of the price-level gap and inflation, and also raise the conditional variance of all three variables; and (ii) expected real output and price-level outcomes that are obtained without conditioning on asset price booms, or are obtained conditionally on asset price booms using the normal distribution, both underestimate the risk of the worst outcomes occurring and lead to less pessimistic but misleading inferences. These findings are not premised on the ability of central bankers to be able to identify correctly asset bubbles ex ante. One possible implication for monetary policy is that central bankers ought to be wary about the occurrence of any large increase in asset prices and consider an approach that is ex ante more compatible with risk management.


2009 ◽  
Vol 99 (3) ◽  
pp. 769-803 ◽  
Author(s):  
Bartosz Maćkowiak ◽  
Mirko Wiederholt

This paper presents a model in which price setting firms decide what to pay attention to, subject to a constraint on information flow. When idiosyncratic conditions are more variable or more important than aggregate conditions, firms pay more attention to idiosyncratic conditions than to aggregate conditions. When we calibrate the model to match the large average absolute size of price changes observed in micro data, prices react fast and by large amounts to idiosyncratic shocks, but only slowly and by small amounts to nominal shocks. Nominal shocks have strong and persistent real effects. (JEL D21, D83, E31, E52)


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