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Working Paper
03.07.2024 |
WP 24-06
This chapter summarizes the mixed-frequency methods commonly used for nowcasting inflation. It discusses the importance of key high-frequency data in producing timely and accurate inflation nowcasts. In the US, consensus surveys of professional forecasters have historically provided an accurate benchmark for inflation nowcasts because they incorporate professional judgment to capture idiosyncratic factors driving inflation. Using real-time data, we show that a relatively parsimonious mixed-frequency model produces superior point and density nowcasting accuracy for headline inflation and competitive nowcasting accuracy for core inflation compared with surveys of professional forecasters over a long sample spanning 1999–2022 and over a short sample focusing on the period since the start of the pandemic.
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Working Paper
01.03.2024 |
WP 24-01
We study how monetary policy communications associated with increasing the federal funds rate causally affect consumers' inflation expectations. In a large-scale, multi-wave randomized controlled trial (RCT), we find weak evidence on average that communicating policy changes lowers consumers' medium-term inflation expectations. However, information differs systematically across demographic groups, in terms of ex ante informedness about monetary policy and ex post compliance with the information treatment. Monetary policy communications have a much stronger effect on people who had not previously heard news about monetary policy and who take sufficient time to read the treatment, implying scope to increase the impact of communications by targeting specific groups of the general public. Our findings show that, in an inflationary environment, consumers expect that raising interest rates will lower inflation. More generally, our results emphasize the importance of measuring both respondents' information sets and their compliance with treatment when using RCTs in empirical macroeconomics, to better understand the well-documented evidence of heterogeneous treatment effects.
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Working Paper
06.02.2023 |
WP 23-14
We examine businesses' price-setting practices via open-ended interviews and in a quantitative survey module with business contacts from the Federal Reserve Banks of Atlanta, Cleveland, and New York in December 2022 and January 2023. Businesses indicated that their prices were strongly influenced by demand, a desire to maintain steady profit margins, and wages and labor costs. Survey respondents expected reduced growth in costs and prices of about 5 percent on average over the next year. Backward-looking, forward-looking, and hypothetical scenarios reveal average cost-price passthrough of around 60 percent, with meaningful heterogeneity across firms.
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Working Paper
03.27.2023 |
WP 22-21R
We implement a novel methodology to disentangle two-way causality in inflation and income expectations in a large, nationally representative survey of US consumers. We find a 20 percent passthrough from expected inflation to expected income growth, but no statistically significant effect in the other direction. Passthrough is higher for higher-income individuals and men. Higher inflation expectations increase consumers’ likelihood to search for higher-paying new jobs. In a calibrated search-and-matching model, dampened responses of wages to demand and supply shocks translate into greater output fluctuations. The survey results and model analysis provide a labor market channel for why people dislike inflation.
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Working Paper
11.22.2022 |
WP 22-35
Based on indirect utility theory, we introduce a novel methodology of measuring inflation expectations indirectly. This methodology starts at the individual level, asking consumers about the change in income required to buy the same amounts of goods and services one year ahead. Analytically, our methodology possesses smaller ex-post aggregate inflation forecast errors relative to forecasts based on conventional survey questions. We ask this question in a large-scale, high-frequency survey of consumers in the US and 14 countries, and we show that indirect consumer inflation expectations perform well along several empirical dimensions. Exploiting the geographically detailed, high-frequency variation in the data, we then show that individual experiences matter for inflation expectations, in a nuanced way. For example, age and gender have different effects internationally, while individual inflation and local experiences are generally highly relevant. In an application to gasoline price changes, we identify large effects of experienced gasoline price changes on inflation expectations, characterized by both overreaction and persistence.
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Working Paper
06.23.2022 |
WP 22-21
Using a novel experimental setup, we study the direction of causality between consumers’ inflation expectations and their income growth expectations. In a large, nationally representative survey of US consumers, we find that the rate of passthrough from expected inflation to expected income growth is incomplete, on the order of 20 percent. There is no statistically significant effect going in the other direction. Passthrough varies systematically with demographic and socioeconomic factors, with greater passthrough for higher-income individuals than lower-income individuals, although it is still incomplete. Higher inflation expectations also cause consumers to report a higher probability that they will search for a new job that pays more. Using our survey findings to calibrate a search-and-matching model, we find that dampened responses of real wages to demand and supply shocks translate into greater fluctuations in output. Taken together, the survey results and model exercises provide a labor market channel to explain why people dislike inflation.
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Working Paper
06.22.2022 |
WP 22-20
Using novel survey evidence on consumer inflation expectations disaggregated by personal consumption expenditure (PCE) categories, we document the paradox that consumers' aggregate inflation expectations usually exceed any individual category expectation. We explore procedures for aggregating category inflation expectations, and find that the inconsistency between aggregate and aggregated inflation expectations rises with subjective uncertainty and is systematically related to socioeconomic characteristics. Overall, our results are inconsistent with the notion that consumers' aggregate inflation expectations comprise an expenditure-weighted sum of category beliefs. Moreover, aggregated inflation expectations explain a greater share of planned consumer spending than aggregate inflation expectations.
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Working Paper
12.20.2021 |
WP 20-26R
Using a daily survey of U.S. households, we study how the Federal Reserve’s announcement of its new strategy of average inflation targeting affected households’ expectations. Starting with the day of the announcement, there is a very small uptick in the minority of households reporting that they had heard news about monetary policy relative to prior to the announcement, but this effect fades within a few days. Those hearing news about the announcement do not seem to have understood the announcement: they are no more likely to correctly identify the Fed’s new strategy than others, nor are their expectations different. When we provide randomly selected households with pertinent information about average inflation targeting, their expectations still do not change in a different way than when households are provided with information about traditional inflation targeting. Even one year after the announcement, U.S. households remain mostly unaware of the change in strategy or its implications.
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Working Paper
10.22.2020 |
WP 20-31
We develop a flexible modeling framework to produce density nowcasts for US inflation at a trading-day frequency. Our framework: (1) combines individual density nowcasts from three classes of parsimonious mixed-frequency models; (2) adopts a novel flexible treatment in the use of the aggregation function; and (3) permits dynamic model averaging via the use of weights that are updated based on learning from past performance. Together these features provide density nowcasts that can accommodate non-Gaussian properties. We document the competitive properties of the nowcasts generated from our framework using high-frequency real-time data over the period 2000-2015.
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Working Paper
09.18.2020 |
WP 20-26
Using a daily survey of U.S. households, we study how the Federal Reserve’s announcement of its new strategy of average inflation targeting affected households’ expectations. Starting with the day of the announcement, there is a very small uptick in the minority of households reporting that they had heard news about monetary policy relative to prior to the announcement, but this effect fades within a few days. Those hearing news about the announcement do not seem to have understood the announcement: they are no more likely to correctly identify the Fed’s new strategy than others, nor are their expectations different. When we provide randomly selected households with pertinent information about average inflation targeting, their expectations still do not change in a different way than when households are provided with information about traditional inflation targeting.
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Working Paper
06.16.2020 |
WP 20-17
We document asymmetric responses of consumer spending to energy price shocks: Using a multiple-regime threshold vector autoregressive model estimated with Bayesian methods on US data, we find that positive energy price shocks have a larger negative effect on consumption compared with the increase in consumption in response to negative energy price shocks. For large shocks, the cumulative consumption responses are three to five times larger for positive than for negative shocks. Digging into disaggregated spending, we find that the estimated asymmetric responses are strongest for durable goods, but asymmetries are also present in the responses of nondurables and services.
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Working Paper
11.12.2019 |
WP 19-23
Macroeconomic models often generate nominal price rigidity via menu costs. This paper provides empirical evidence that treating menu costs as a structural explanation for sticky prices may be spurious. Using scanner data, I note two empirical facts: (1) price points, embodied in nine-ending prices, account for approximately two-thirds of prices; and (2) at the conclusion of sales, post-sale prices return to their pre-sale levels more than three-fourths of the time. I construct a model that nests roles for menu costs and price points and estimate model variants. Excluding the two facts yields a statistically and economically significant role for menu costs in generating price rigidity. Incorporating the two facts yields an incentive to set nine-ending prices two orders of magnitude larger than the menu costs. In this setting, the price point model can match the two stylized facts, but menu costs are effectively irrelevant as a source of price rigidity. The choice of a mechanism for price rigidity matters for aggregate dynamics.
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Working Paper
11.12.2019 |
WP 19-24
We document a causal role for price endings in generating micro and macro price rigidity. Based on micro price data underlying the consumer price index in Israel, we document that most stores have a favored price ending—a final digit, usually a zero or nine, used by a majority of prices in that store—and that these favored price endings are utilized extensively. Using changes to the VAT rate as exogenous cost shocks that affect prices regardless of ending, we find that the frequency of price adjustment for nonfavored endings increases by twice as much as the frequency of adjustment for favored endings in months when the VAT rate changes. In the aggregate, sluggish pass-through of VAT rate changes is due to favored endings; changes in the VAT rate are passed through fully and immediately to nonfavored endings.
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Working Paper
05.19.2017 |
WP 17-08
Beyond GDP, which is measured using expenditure data, the U.S. national income and product accounts (NIPAs) provide an income-based measure of the economy (gross domestic income, or GDI), a measure that averages GDP and GDI, and various aggregates that include combinations of GDP components. This paper compiles real-time data on a variety of NIPA aggregates and uses these in simple time-series models to construct out-of-sample forecasts for GDP growth. Over short forecast horizons, NIPA aggregates—particularly consumption and GDP less inventories and trade—together with these simple time-series models have historically generated more accurate forecasts than a canonical AR(2) benchmark. This has been especially true during recessions, although we document modest gains during expansions as well.
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Working Paper
03.17.2017 |
WP 17-02
Financial data often contain information that is helpful for macroeconomic forecasting, while multistep forecast accuracy also benefits by incorporating good nowcasts of macroeconomic variables. This paper considers the role of nowcasts of financial variables in making conditional forecasts of real and nominal macroeconomic variables using standard quarterly Bayesian vector autoregressions (BVARs). For nowcasting the quarterly value of a variety of financial variables, we document that the average of the available daily data and a daily random walk forecast to fill in the missing days in the quarter typically outperforms other nowcasting approaches. Using real-time data and out-of-sample forecasting exercises, we find that the inclusion of financial variable nowcasts by themselves generally improves forecast accuracy for macroeconomic variables relative to unconditional forecasts, although we document several exceptions in which current-quarter forecast accuracy worsens with the inclusion of the financial nowcasts. Incorporating financial nowcasts and nowcasts of macroeconomic variables generally improves the forecast accuracy for all the macroeconomic indicators of interest, beyond including the nowcasts of the macroeconomic variables alone. Conditional forecasts generated from quarterly BVARs augmented with nowcasts of key financial variables rival the forecast accuracy of mixed-frequency dynamic factor models (MF-DFMs) and mixed-data sampling (MIDAS) models that explicitly link the quarterly data and forecasts to high-frequency financial data.
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Working Paper
11.04.2015 |
WP 14-03R
Forecasting future inflation and nowcasting contemporaneous inflation are difficult. We propose a new and parsimonious model for nowcasting headline and core inflation in the U.S. consumer price index (CPI) and price index for personal consumption expenditures (PCE) that relies on relatively few variables. The model's nowcasting accuracy improves as information accumulates over a month or quarter, outperforming statistical benchmarks. In real-time comparisons, the model's headline inflation nowcasts substantially outperform those from the Blue Chip consensus and the Survey of Professional Forecasters. Across all four inflation measures, the model's nowcasting accuracy is comparable to the Federal Reserve Board's Greenbook.
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Working Paper
10.31.2014 |
WP 14-26
This paper revisits the phenomenon of stagflation. Using a standard New Keynesian dynamic, stochastic general equilibrium model, we show that stagflation from monetary policy alone is a very common occurrence when the economy is subject to both deviations from the policy rule and a drifting inflation target. Once the inflation target is fixed, the incidence of stagflation in the baseline model is essentially eliminated. In contrast with several other recent papers that have focused on the connection between monetary policy and stagflation, we show that while high uncertainty about monetary policy actions can be conducive to the occurrence of stagflation, imperfect information more generally is not a requisite channel to generate stagflation.
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Working Paper
05.20.2014 |
WP 14-03
Forecasting future inflation and nowcasting contemporaneous inflation are difficult. We propose a new and parsimonious model for nowcasting headline and core inflation in the U.S. price index for personal consumption expenditures (PCE) and the consumer price index (CPI). The model relies on relatively few variables and is tested using real-time data. The model’s nowcasting accuracy improves as information accumulates over the course of a month or quarter, and it easily outperforms a variety of statistical benchmarks. In head-to-head comparisons, the model’s nowcasts of CPI inflation outperform those from the Blue Chip consensus, with especially significant outperformance as the quarter goes on. The model’s nowcasts for CPI and PCE inflation also significantly outperform those from the Survey of Professional Forecasters, with similar nowcasting accuracy for core inflation measures. Across all four inflation measures, the model’s nowcasting accuracy is generally comparable to that of the Federal Reserve’s Greenbook.
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Working Paper
03.13.2014 |
WP 14-01
Consumer debt played a central role in creating the U.S. housing bubble, the ensuing housing downturn, and the Great Recession, and it has been blamed as a factor in the weak subsequent recovery as well. This paper uses micro-level data to decompose consumer debt dynamics by separating the actions of consumer debt increasers and decreasers, and then further decomposing movements into percentage and size margins among the increasers and decreasers. We view such a decomposition as informative for macroeconomic models featuring a central role for consumer debt. Using this framework, we show that variations in borrowing activity among the increasers explain four times as much of the total variation in consumer debt as variations among the decreasers who are shedding debt, whether through paydowns or defaults. We also provide micro-level evidence of a sharp decline in the percentage of increasers during the financial crisis that is qualitatively consistent with a binding zero lower bound on nominal interest rates, and evidence of a cycle in the average size of debt changes among the increasers that is related to rising collateral values pre-crisis coupled with additional financial frictions after the crisis.
