Nu este disponibil în limba română
Emmanuel De Veirman
- 17 July 2023
- OCCASIONAL PAPER SERIES - No. 321Details
- Abstract
- This paper analyses the implications of the evidence on micro price setting gathered by Price-setting Microdata Analysis Network (PRISMA) for inflation dynamics and monetary policy, relying on calibrated models and direct empirical evidence. According to models calibrated to the euro area micro evidence in Gautier et al. (2022, 2023), infrequent price changes and moderate state dependence in price setting should result in a meaningful Phillips curve in the euro area. Empirical estimates of the Phillips curve during the low-inflation period confirm previous findings of a relatively flat but stable slope. This estimated flat slope reflects both infrequent and subdued price adjustment in response to aggregate shocks, i.e. the presence of nominal and real rigidities. Model-based simulations show that, due to non-linearities in price setting, changes in trend inflation above 5-6% would have significant effects on the euro area Phillips curve. Similarly, shocks to nominal costs larger than 15% would result in non-linear effects on inflation dynamics in calibrated models. In line with these simulations, recent micro evidence suggests that the return of higher and more volatile inflation seems to be associated with higher frequencies of price changes, mainly because the frequency of price increases rises with the level and volatility of inflation.
- JEL Code
- E3 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles
E5 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit
- 17 July 2023
- OCCASIONAL PAPER SERIES - No. 319Details
- Abstract
- This paper documents five stylised facts relating to price adjustment in the euro area, using various micro price datasets collected in a period with relatively low and stable inflation. First, price changes are infrequent in the core sectors. On average, 12% of consumer prices change each month, falling to 8.5% when sales prices are excluded. The frequency of producer price adjustment is greater (25%), reflecting that the prices of intermediate goods and energy are more flexible. For both consumer and producer prices, cross-sectoral heterogeneity is more pronounced than cross-country heterogeneity. Second, price changes tend to be large and heterogeneous. For consumer prices, the typical absolute price change is about 10%, and the distribution of price changes shows a broad dispersion. For producer prices, the typical absolute price change is smaller, but nevertheless larger than inflation. Third, price setting is mildly state-dependent: the probability of price adjustment rises with the size of price misalignment, mainly reflecting idiosyncratic shocks, but it does not increase very sharply. Fourth, for both consumer and producer prices, the repricing rate showed no trend in the period 2005-19 but was more volatile in the short run. Fifth, small cyclical variations in frequency did not contribute much to fluctuations in aggregate inflation, which instead mainly reflected shifts in the average size of price changes. Consistent with idiosyncratic shocks as the main driver of price changes, aggregate disturbances affected inflation by shifting the relative number of firms increasing or decreasing their prices, rather than the size of price increases and decreases.
- JEL Code
- E3 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles
E5 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit
- 30 March 2023
- WORKING PAPER SERIES - No. 2804Details
- Abstract
- In sticky price models, the slope of the Phillips curve depends positively on the probability of price adjustment. I use a series for the empirical frequency of price adjustment to test this implication. I find some evidence that the Phillips curve slope depends positively on the repricing rate. My results support the implication from New Keynesian theory with Calvo pricing that the Phillips curve slope is a convex function of the frequency of price adjustment. However, at all observed values of the frequency of price adjustment, the empirical Phillips curve relation is much flatter than the New Keynesian Phillips Curve at standard parameter values would imply.
- JEL Code
- C22 : Mathematical and Quantitative Methods→Single Equation Models, Single Variables→Time-Series Models, Dynamic Quantile Regressions, Dynamic Treatment Effect Models &bull Diffusion Processes
E31 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Price Level, Inflation, Deflation - Network
- Price-setting Microdata Analysis Network (PRISMA)