Intrinsic Persistence of Wage Inflation in New Keynesian Models of the Business Cycles

We derive and estimate a New Keynesian wage Phillips curve that accounts for intrinsic inertia. In line with microevidence on wage setting, we consider a wage‐setting model featuring an upward‐sloping hazard function, based on the notion that the probability of resetting a wage depends on the time elapsed since the last reset. Our wage Phillips curve embeds also backward terms. We test the hazard function slope using generalized method of moment estimation. Then, placing our equation in a small‐scale New Keynesian model, we investigate its dynamic properties using Bayesian estimation. Model comparison shows that our model outperforms commonly used alternative methods to introduce persistence.     

The price and quantity of residential land in the United States

One can conceptualize a house as a bundle comprising a reproducible tangible structure and a non-reproducible plot of land. When the value of a home is decomposed this way, land capitalizes the market value of a home's location. We develop a formal relationship between the dynamics of house prices, structures costs and land prices, and thereby construct the first constant-quality price and quantity indexes for the aggregate stock of residential land in the United States. In a range of applications we show that these series can shed light on trends, fluctuations and regional variation in the price of housing.     

Money and Output: Friedman and Schwartz Revisited

More than 50 years ago, Friedman and Schwartz examined historical data for the United States and found evidence of procyclical movements in the money stock, which led corresponding movements in output. We find similar correlations in more recent data; these appear most clearly when Divisia monetary aggregates are used in place of the Federal Reserve's official, simple‐sum measures. When we use information in Divisia money to estimate a structural vector autoregression, identified monetary policy shocks appear to have large and persistent effects on output and prices, with a lag that has lengthened considerably since the early 1980s.     

The Phillips curve under state-dependent pricing

We derive a Phillips curve equation from the dynamic stochastic general equilibrium (DSGE) model with state-dependent pricing developed by Dotsey et al. [1999. State-dependent pricing and the general equilibrium dynamics of money and output. Quarterly Journal of Economics 114, 655-690]. This state-dependent Phillips curve encompasses the new Keynesian Phillips curve (NKPC) based on Calvo-type price setting as a special case. We analyze the effect of the state-dependent terms (that is, the variations in the distributions of price vintages) on inflation persistence, and we examine whether the hybrid NKPC (that is, the NKPC extended by a lagged inflation term) can adequately describe inflation dynamics generated in a calibrated state-dependent pricing economy.     

Do expected future marginal costs drive inflation dynamics?

This article discusses a more general interpretation of the two-step minimum distance estimation procedure proposed in Sbordone (2002). The estimator is again applied to a version of the New Keynesian Phillips curve, where inflation dynamics are driven by the expected evolution of marginal costs. The article clarifies econometric issues, addresses concerns about uncertainty and model misspecification raised in recent studies, and assesses the robustness of previous results. While confirming the importance of forward-looking terms in accounting for inflation dynamics, it suggests how the methodology can be applied to extend the analysis of inflation to a multivariate setting.     

Relative Prices as Aggregate Supply Shocks with Trend Inflation

Ball and Mankiw (1995) use a static menu-cost model to explain the historical behavior of the first and higher moments of commodity price changes in U.S. producer prices. We show that when appropriately modified for a world of positive trend inflation and forward-looking behavior by firms, the menu-cost model predicts a much weaker (possibly zero) correlation between the mean and the skewness of price changes than that found in the data.     

Technology shocks and labor market dynamics: Some evidence and theory

A positive technology shock may lead to a rise or a fall in per capita hours, depending on how hours enter the empirical VAR model. We provide evidence that, independent of how hours enter the VAR, a positive technology shock leads to a weak response in nominal wage inflation, a modest decline in price inflation, and a modest rise in the real wage in the short-run and a permanent rise in the long-run. We then examine the ability of several competing theories to account for this VAR evidence. Our preferred model features sticky prices, sticky nominal wages, and habit formation. The same model also does well in accounting for the labor market evidence in the post-Volcker period.     

Monetary policy, taxes, and the business cycle

This paper analyzes the interaction of inflation with the tax code and its contribution to aggregate fluctuations. We find significant effects operating through the tax on realized nominal capital gains. A tax on nominal bond income magnifies these effects. Our innovation is to combine monetary policy shocks with non-indexed taxes in a model where the central bank implements policy using an interest rate rule. Monetary policy had important effects on the behavior of the business cycle before 1980 because policymakers did not exert effective control over inflation. Monetary policy reform around 1980 led to better control, and with more stable inflation, the effect of the interaction between monetary policy and the nominal capital gains tax has become negligible.     

Technology Shocks and Monetary Policy: Revisiting the Fed's Performance

Would the U.S. economy's dynamic response to permanent technology shocks have been different from the actual responses if monetary authorities' systematic response to these shocks had been optimal? To answer this question, we characterize the dynamic effects of permanent technology shocks and the way in which U.S. monetary authorities reacted to these shocks over the sample 1955(1)–2002(4) using a structural VAR. A sticky price–sticky wage model is developed and estimated to reproduce these responses. We then formally compare these responses with the outcome of the optimal monetary policy.     

An Inflation‐Predicting Measure of the Output Gap in the Euro Area

Using a small Bayesian dynamic factor model of the euro area, we estimate the deviations of output from its trend that are consistent with the behavior of inflation. We label these deviations the output gap. In order to pin down the features of the model, we evaluate the accuracy of real‐time inflation forecasts from different model specifications. The version that forecasts inflation best implies that after the 2011 sovereign debt crisis, the output gap in the euro area has been much larger than the official estimates. Versions featuring a secular stagnation‐like slowdown in trend growth, and hence a small output gap after 2011, do not adequately capture the inflation developments.     

Long‐Run Inflation and the Distorting Effects of Sticky Wages and Technical Change

We show that the Calvo price‐setting model is not necessarily inconsistent with evidence of a weak relation between positive trend inflation and price dispersion. We identify the interaction between sticky wages and technical change as factors disrupting the allocative role of the wage system under positive trend inflation. In turn, this interaction generates inefficient wage dispersion, as opposed to price dispersion, which fuels inflation costs. We conclude that it is too early to dismiss the New Keynesian model as a useful vehicle to assess the costs of inflation.     

The Relationships between Permanent and Transitory Movements in U.S. Output and the Unemployment Rate

This paper estimates the permanent and transitory movements in U.S. output and the unemployment rate and the relationships between them. The results suggest that permanent movements in U.S. output and the unemployment rate are important for explaining overall fluctuations. Further, the correlation between changes in these series arises in large part due to the relationship between their permanent components.     

New measures of the output gap based on the forward-looking new Keynesian Phillips curve

Forward-looking versions of the New Keynesian Phillips curve imply that the output gap, the deviation of the actual output from its natural level due to nominal rigidities, drives the dynamics of inflation relative to expected inflation. We exploit this to set up a bivariate unobserved component model for extracting new estimates of the output gap in the US. The gap estimates are large and persistent even after allowing for correlated trend and cycle shock. We then augment our model to use the information in the unemployment rate. The estimates confirm the presence of a large and persistent cyclical component.     

Convergence of Euro area inflation rates

We study the behavior of inflation rates among the 12 initial Euro countries in order to test whether and when the group convergence initially dictated by the Maastricht treaty and now by the ECB, occurs. We also assess the impact of events such as the advent of the Euro and the 2008 financial crisis. Due to the small size of the estimation sample, we propose a new procedure that increases the power of panel unit root tests when used to study group-wise convergence. Applying this new procedure to Euro area inflation, we find strong and lasting evidence of convergence among the inflation rates soon after the implementation of the Maastricht treaty and a dramatic decrease in the persistence of the differential after the occurrence of the single currency. After the 2008 crisis, Euro area inflation rates follow the ECB's price stability benchmark, although Greece reports relatively higher inflation.     

When do firms adjust prices? Evidence from micro panel data

The price-setting behavior of manufacturing firms is examined using a large panel of quarterly firm survey data from 1984 to 2007, which allows changes in firms’ prices to be linked to several firm-specific variables. The results show that state-dependent pricing is clearly present in a low-inflation environment and that variables measuring the current situation of the firm, especially costs for intermediate products, are important determinants of price adjustments. Compared to purely time-dependent features, the state-dependent variables significantly add to the explanatory power of a price adjustment probability model. Macroeconomic factors are significant but contribute little in terms of the goodness of fit. Furthermore, when taking into account sticky plan models by excluding possibly predetermined price changes, the importance of state-dependent factors becomes even greater.