Endogenous nominal rigidities and monetary policy

Recent empirical research finds that the degree of nominal rigidities varies over monetary policy regimes. This implies that monetary policy analysis with exogenously given nominal rigidities is subject to the Lucas critique. We allow firms to choose the probability of price adjustment in a Calvo-style sticky price model, and analyze how this probability changes according to an inflation coefficient of the Taylor rule. The model shows that a more aggressive monetary policy response to inflation makes firms less likely to reset prices and gives the resulting New Keynesian Phillips curve a flatter slope and a smaller disturbance, as observed during the Volcker-Greenspan era. Also, such a policy response can stabilize both inflation and the output gap by exploiting the feedback effects of this policy response on firms’ price-setting. These results offer theoretical support for the good policy hypothesis about the Great Moderation.     

Multiproduct firms and price-setting: Theory and evidence from U.S. producer prices

Using micro-data on U.S. producer prices, we establish three new facts about price setting by multi-product firms. First, firms selling more goods adjust prices more frequently but on average by smaller amounts. Moreover, their fraction of positive price changes is lower and the dispersion of price changes is higher. Second, price changes within firms are substantially synchronized, which plays a dominant role in explaining pricing dynamics. Third, firms selling more goods have greater within-firm synchronization of price changes. A model with trend inflation and firm-specific menu costs where firms are subject to idiosyncratic and aggregate shocks matches the empirical findings.     

Inflation and output dynamics with state-dependent pricing decisions

This paper studies a state-dependent pricing model in which firms face a fixed cost of changing their pricing plans. A pricing plan specifies an entire sequence of time-varying future prices. Allowing firms to choose a pricing plan rather than a single price generates inflation inertia in the response of the economy to small changes in the growth rate of money. Allowing firms to choose when to change their pricing plan generates a non-linear response of inflation and output to small and large changes in the money growth rate. The non-linear solution method also reveals that the model generates an asymmetric response of output and inflation to monetary expansions and contractions.     

An open-economy new Keynesian Phillips curve for the U.K.

We estimate a pricing equation or “new Keynesian Phillips curve” (NKPC) obtained from a structural dynamic model of price setting based on Rotemberg [1982. Sticky prices in the United States. Journal of Political Economy 90(6), 1187-1211] and extended to capture employment adjustment costs and the openness of the United Kingdom. This model nests the baseline Galí and Gertler [1999. Inflation dynamics: a structural econometric analysis. Quarterly Journal of Economics 110, 127-159) and Sbordone [2002. Prices and unit labor costs: a new test of price stickiness. Journal of Monetary Economics 49, 265-292] relationship between inflation and marginal cost in the limiting case of no employment adjustment costs, no impact of relative prices of imported inputs on real marginal cost and a constant equilibrium markup. Our findings indicate that each of our modifications to the baseline NKPC model is important for U.K. data, so that inflation in the U.K. is explained both by changes in employment and by changes in real import prices, in general, and real oil prices, in particular. External competitive pressures also seem to affect U.K. inflation via their impact on the equilibrium price markup of domestic firms.     

How Common Are Intentional GAAP Violations? Estimates from a Dynamic Model

This paper uses data on detected misstatements—earnings restatements—and a dynamic model to estimate the extent of undetected misstatements that violate GAAP. The model features a CEO who can manipulate his firm's stock price by misstating earnings. I find the CEO's expected cost of misleading investors is low. The probability of detection over a five‐year horizon is 13.91%, and the average misstatement, if detected, results in an 8.53% loss in the CEO's retirement wealth. The low expected cost implies a high fraction of CEOs who misstate earnings at least once at 60%, with 2%–22% of CEOs starting to misstate earnings in each year 2003–2010, inflation in stock prices across CEOs who misstate earnings at 2.02%, and inflation in stock prices across all CEOs at 0.77%. Wealthier CEOs manipulate less, and the average misstatement is larger in smaller firms.     

Estimating the frequency of price re-optimization in Calvo-style models

This paper assesses the empirical performance Calvo style models of price re-optimization. We first show that versions of these models in which firms update non-re-optimized prices to lagged inflation account well for the statistical behavior of post-war U.S. inflation rates. We then investigate whether these models imply plausible degrees of inertia in price setting behavior by firms. They do, but only if we depart from two standard auxiliary assumptions: monopolistically competitive firms face a constant elasticity of demand, and capital is homogeneous and can be instantaneously reallocated after a shock. We develop a version of the model in which these assumptions are relaxed and show that it is consistent with the view that firms re-optimize prices, on average, once every two quarters.     

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.     

Logit Price Dynamics

We model retail price stickiness as the result of costly, error‐prone decision making. Under our assumed cost function for the precision of choice, the timing of price adjustments and the prices firms set are both logit random variables. Errors in the prices firms set help explain micro facts related to the size of price changes, the behavior of adjustment hazards, and the variability of prices and costs. Errors in adjustment timing increase the real effects of monetary shocks, by reducing the “selection effect.” Allowing for both types of errors also helps explain how trend inflation affects price adjustment.     

股票价格具有货币政策指示器功能吗——来自中国1997～2006年的经验证据

本文运用VAR模型考察了以股票价格为代表的金融资产价格对我国通货膨胀的影响。实证分析表明,我国股票价格的变动对产出缺口存在一定的正向影响,但是这种影响不太稳定,说明我国股票价格通过总需求渠道对未来通货膨胀产生的影响比较微弱。同时,我国股票价格的变动能引起未来CPI和WPI的同向变化,尤其与CPI的关系非常稳定,说明股票价格在一定程度上包含了我国未来通货膨胀的信息。因此,我国股票价格可以作为一个帮助判断未来经济走势和通货膨胀变动趋势的货币政策指示器。     

Trade openness and inflation: The role of real and nominal price rigidities

The paper revisits the long-standing question of the impact of trade openness on the inflation–output trade-off by accounting for the effects of product market competition on price flexibility. The study develops a New-Keynesian open-economy dynamic stochastic general equilibrium model with non-constant price elasticity of demand and Calvo price setting in which the frequency of price adjustment is endogenously determined. It demonstrates that trade openness has two opposing effects on the sensitivity of inflation to output fluctuations. On the one hand, it raises strategic complementarity in firms' pricing decisions and the degree of real price rigidities, which makes inflation less responsive to changes in real marginal cost. On the other hand, it strengthens firms' incentives to adjust their prices, thereby reducing the degree of nominal price rigidities and increasing the sensitivity of inflation to changes in marginal cost. The study explains the positive relationship between competition and the frequency of price adjustment observed in the data. It also provides new insights into the effects of global economic integration on the Phillips Curve.     

The Formation of Inflation Expectations: Microdata Evidence from Japan

We propose a novel approach for measuring inflation expectations, which can alleviate the rounding number problem. Furthermore, we examine how consumers form inflation expectations. We find that consumers heterogeneously update their information sets on prices; 46% of the consumers collect information about the consumer price index at least once a quarter, while the remaining consumers less frequently or never obtain this information. We also find that forecast revisions are sensitive to a change in food prices. More than half of consumers are attentive only to a change in food prices and may form their inflation expectations using food price changes as a signal of fluctuations in the overall inflation rates. The existence of consumers who are inattentive to aggregate inflation casts doubt on the transmission of monetary policy through the management of expectations.     

Implications of state-dependent pricing for dynamic macroeconomic models

State-dependent pricing (SDP) models treat the timing of price changes as a profit-maximizing choice, symmetrically with other decisions of firms. Using quantitative general equilibrium models which incorporate a “generalized (S,s) approach,” we investigate the implications of SDP for topics in two major areas of macroeconomic research, the early 1990s SDP literature and more recent work on persistence mechanisms. First, we show that state-dependent pricing leads to unusual macroeconomic dynamics, which occur because of the timing of price adjustments chosen by firms as in the earlier literature. In particular, we display an example in which output responses peak at about a year, while inflation responses peak at about 2 years after the shock. Second, we examine whether the persistence-enhancing effects of two New Keynesian model features, namely specific factor markets and variable elasticity demand curves, depend importantly on whether pricing is state dependent. In an SDP setting, we provide examples in which specific factor markets perversely work to lower persistence, while variable elasticity demand raises it.     

Customer anger at price increases, changes in the frequency of price adjustment and monetary policy

While firms claim to be concerned with consumer reactions to price increases, these often do not cause large reductions in purchases. The model developed here fits this by letting consumers react negatively only when they become convinced that prices are unfair. This can explain price rigidity, though its implications are not identical to those of existing models of costly price adjustment. In particular, the frequency of price adjustment can depend on economy-wide variables observed by consumers. This has implications for the effects of monetary policy and can explain why inflation does not fall immediately after a monetary tightening.     

Can trade costs explain why exchange rate volatility does not feed into consumer prices?

If countries specialize in imperfectly substitutable goods, trade costs increase the share of expenditure devoted to domestic output, reducing the exposure of consumer price inflation to exchange rate changes. I present a multi-country flexible-price model where expenditure shares are inversely related to trade costs through a gravity equation. In this setting, consumer price inflation can be approximated as an expenditure-share-weighted average of the contributions to inflation from all countries. I use data from 24 OECD countries, 1970-2003, to estimate a structural gravity model. I combine the fitted expenditure shares from the estimation with actual data on exchange rates to construct predictions of inflation. The behavior of these predictions indicates that trade costs can explain both qualitatively and quantitatively the failure of exchange rate volatility to feed into inflation.     

Why Has U.S. Inflation Become Harder to Forecast?

We examine whether the U.S. rate of price inflation has become harder to forecast and, to the extent that it has, what changes in the inflation process have made it so. The main finding is that the univariate inflation process is well described by an unobserved component trend-cycle model with stochastic volatility or, equivalently, an integrated moving average process with time-varying parameters. This model explains a variety of recent univariate inflation forecasting puzzles and begins to explain some multivariate inflation forecasting puzzles as well.     

Incomplete information,higher-order beliefs and price inertia

The question that motivates this paper is how incomplete information impacts the response of prices to nominal shocks. Our baseline model is a variant of the Calvo model in which firms observe the underlying nominal shocks with noise. In this model, the response of prices is pinned down by three parameters: the precision of available information about the nominal shock, the frequency of price adjustment, and the degree of strategic complementarity in pricing decisions. This result synthesizes the broader lessons of the pertinent literature. However, this synthesis provides only a partial view of the role of incomplete information. Once one allows for more general information structures than those used in previous work, one cannot quantify the degree of price inertia without data on the dynamics of higher-order beliefs, or of the agents’ forecasts of inflation. We highlight this with three extensions of our baseline model, all of which break the tight connection between the precision of information and higher-order beliefs featured in previous work.     

Intrinsic inflation persistence

Empirical evidence suggests that inflation determination is not purely forward-looking, but models of price setting have struggled to rationalize this finding without directly assuming backward-looking pricing rules for firms. This paper shows that intrinsic inflation persistence can be explained with no deviation from optimizing, forward-looking behaviour if prices that have remained fixed for longer are more likely to be changed than those set recently. A relationship between the probability of price adjustment and the duration of a price spell is shown to imply a simple “hybrid” Phillips curve including lagged and expected inflation, which is estimated using macroeconomic data.     

Reconsidering the Relationship between Inflation and Relative Price Variability

It has long been popularly believed that the relationship between inflation and relative price variability (RPV) is positive and stable. Using disaggregated CPI data for the United States and Japan, however, this study finds that the relationship is neither linear nor stable over time. The overall relationship is approximately U‐shaped around a nonzero threshold inflation rate. RPV therefore changes not with the inflation rate per se, but with the deviation of inflation from the threshold inflation rate. More importantly, the relationship is by no means stable over time but instead varies significantly in a way that coincides with regime changes of inflation or monetary policy. The relationship was positive during the period of high inflation of the 1970s and the early 1980s, as has been documented by a number of previous studies, whereas it takes a U‐shape profile during the Great Moderation. The results are robust to the use of core inflation, which excludes the traditionally volatile prices of food and energy. This paper then presents a modified version of the Calvo‐type sticky price model to describe the observed empirical regularities. Simulation experiments show that the modified Calvo model fits the data well, and that the underlying relationship hinges upon the degree of price rigidity, which is systematically related to inflation regime. For countries and periods with low inflation rates, the relationship takes a U‐shape as price adjustment is more sticky. In a high‐inflation environment, when price setting becomes more flexible, the U‐shaped profile vanishes.     

The Pricing of Initial Public Offerings: A Dynamic Model with Information Production

This paper presents an information-theoretic model of IPO pricing in which insiders sell stock in both the IPO and the secondary market, have private information about their firm's prospects, and outsiders may engage in costly information production about the firm. High-value firms, knowing they are going to pool with low-value firms, induce outsiders to engage in information production by underpricing, which compensates outsiders for the cost of producing information. The information is reflected in the secondary market price of equity, giving a higher expected stock price for high-value firms.     

Can security analyst forecasts predict gold returns?

This paper examines whether security analyst earnings forecasts for firms primarily operating in the gold market can be utilised to predict returns on the price of gold. We first demonstrate that analysts are at least in part basing their earnings forecasts for gold firms on the return expectations of the gold commodity market. We show this by providing evidence that analyst coverage impounds not only market-wide and industry information, but also gold price information for these firms — as measured via its impact on stock return synchronicity. We then examine if the difference between forecast and observed earnings for these firms has predictive value for changes in the price of gold whilst controlling for a number of macroeconomic factors. We find that this difference does hold predictive power, but also has some limitations. However, there is potential for it to be used as an additional variable within gold forecasting frameworks.