A Bayesian VAR Model Perspective on the Lagged Effect of Monetary Policy
Over the last few years, the U.S. economy has experienced unusually high inflation and an unprecedented pace of monetary policy tightening. While inflation has fallen recently, it remains above target, and the economy continues to expand at a robust pace. Does the resilience of the U.S. economy imply that monetary policy has been ineffectual? Or does it reflect that policy acts with “long and variable lags” and so we haven’t yet observed the full effect of the monetary tightening that has already taken place? Using a Bayesian vector autoregressive (BVAR) model, we show that economic activity has, indeed, been substantially stronger than would have been anticipated considering the rapid policy tightening. Still, the model expects a significant slowdown in 2024-25, even though short-term interest rates are forecasted to fall.
Can China Catch Up with Greece?
China’s leader Xi Jinping recently laid out the goal of reaching the per capita income of “a mid-level developed country by 2035.” Is this goal likely to be achieved? Not in our view. Continued rapid growth faces mounting headwinds from population aging and from diminishing returns to China’s investment-centered growth model. Additional impediments to growth appear to be building, including a turn toward increased state management of the economy, the crystallization of legacy credit issues in real estate and other sectors, and limits on access to key foreign technologies. Even given generous assumptions concerning future growth fundamentals, China appears likely to close only a fraction of the gap with high-income countries in the years ahead.
An Update on the Health of the U.S. Consumer
The strength of consumer spending so far this year has surprised most private forecasters. In this post, we examine the factors behind this strength and the implications for consumption in the coming quarters. First, we revisit the measurement of “excess savings” that households have accumulated since 2020, finding that the estimates of remaining excess savings are very sensitive to assumptions about measurement, estimation period, and trend type, which renders them less useful. We thus broaden the discussion to other aspects of the household balance sheet. Using data from the New York Fed’s Consumer Credit Panel, we calculate the additional cash flows made available for consumption as a result of households’ adjustments to their debt holdings. To detect signs of stress in household financial positions, we examine recent trends in delinquencies and find the evidence to be mixed, suggesting that certain stresses have emerged for some households. In contrast, we find that the New York Fed’s Survey of Consumer Expectations still points to a solid outlook for consumer spending.
Do Large Firms Generate Positive Productivity Spillovers?
Numerous studies have documented the rising dominance of large firms over the last few decades in many industrialized countries. Many research papers have focused on the potential negative effects of this increased market concentration, raising concerns about market power in both labor and product markets. In a new study, we investigate whether large firms also generate positive effects. Our research shows that large firms generate significant positive total factor productivity (TFP) spillovers to their domestic suppliers. To date, these types of spillovers have only been identified for multinational enterprises located in developing countries. Using firm-to-firm transaction data for an industrialized country, Belgium, we find that large domestic firms, as well as multinationals, generate positive TFP spillovers.
Spending Down Pandemic Savings Is an “Only‑in‑the‑U.S.” Phenomenon
Household saving soared in the United States and other high-income economies during the pandemic, as consumers cut back on spending while government policies supported incomes. More recently, saving behavior has diverged, with the U.S. saving rate dropping below its pre-pandemic average while saving rates elsewhere have remained above their pre-pandemic averages. As a result, U.S. consumers have been spending down the “excess savings” built up during the pandemic while the excess savings abroad remain untapped. This divergent behavior helps explain why U.S. GDP has returned to its pre-pandemic trend path even as GDP levels in other high-income economies continue to run well below trend.
The New York Fed DSGE Model Forecast— September 2023
This post presents an update of the economic forecasts generated by the Federal Reserve Bank of New York’s dynamic stochastic general equilibrium (DSGE) model. We describe very briefly our forecast and its change since June 2023. As usual, we wish to remind our readers that the DSGE model forecast is not an official New York Fed forecast, but only an input to the Research staff’s overall forecasting process. For more information about the model and variables discussed here, see our DSGE model Q & A.
Reintroducing the New York Fed Staff Nowcast
“Nowcasts” of GDP growth are designed to track the economy in real time by incorporating information from an array of indicators as they are released. In April 2016, the New York Fed’s Research Group launched the New York Fed Staff Nowcast, a dynamic factor model that generated estimates of current quarter GDP growth at a weekly frequency. The onset of the COVID-19 pandemic sparked widespread economic disruptions—and unprecedented fluctuations in the economic data that flow into the Staff Nowcast. This posed significant challenges to the model, leading to the suspension of publication in September 2021. Taking advantage of recent developments in time-series econometrics, we have since developed a more robust version of the Staff Nowcast model, one that better handles data volatility. In this post, we discuss the model’s new features, present estimates of current quarter GDP growth, and evaluate how the Staff Nowcast would have performed during the pandemic period. Today’s post marks the resumption of regular New York Fed Staff Nowcast releases, to be published each Friday.
How Large Are Inflation Revisions? The Difficulty of Monitoring Prices in Real Time
With prices quickly going up after the COVID-19 pandemic, inflation releases have rarely been as present in the public debate as in recent years. However, since inflation estimates are frequently revised, how precise are the real-time data releases? In this Liberty Street Economics post, we investigate the size and nature of revisions to inflation. We find that inflation estimates for a given month can change substantially as subsequent data vintages are released. As an example, consider March 2009. With the economy contracting amid the Global Financial Crisis, the twelve-month inflation rate for personal consumption expenditures (PCE) excluding food and energy dropped from an initial estimate of 1.8 percent to 0.8 percent in the current series. The difference is dramatic and points to the difficulty of monitoring inflation in real time. Our results suggest that there is significant uncertainty in measuring inflation, and the key features of the recent spike and subsequent moderation of inflation may look quite different in hindsight once further revisions have taken place.
The Evolution of Short‑Run r* after the Pandemic
This post discusses the evolution of the short-run natural rate of interest, or short-run r*, over the past year and a half according to the New York Fed DSGE model, and the implications of this evolution for inflation and output projections. We show that, from the model’s perspective, short-run r* has increased notably over the past year, to some extent outpacing the large increase in the policy rate. One implication of these findings is that the drag on the economy from recent monetary policy tightening may have been limited, rationalizing why economic conditions have remained relatively buoyant so far despite the elevated level of interest rates.
Inflating Away the Debt: The Debt‑Inflation Channel of German Hyperinflation
The recent rise in price pressures around the world has reignited interest in understanding how inflation transmits to the real economy. Economists have long recognized that unexpected surges of inflation can redistribute wealth from creditors to debtors when debt contracts are written in nominal terms (see, for example, Fisher 1933). If debtors are financially constrained, this redistribution can affect real economic activity by relaxing financing constraints. This mechanism, which we call the debt-inflation channel, is well understood theoretically (for example, Gomes, Jermann, and Schmid 2016), but there is limited empirical evidence to substantiate it. In this post, we discuss new insights from one of the key events in monetary history: the Great German Inflation of 1919-23. Because this case of inflation was both surprising and extremely high, Germany’s experience helps shed light on how high inflation impacts firms’ economic activity through the erosion of their nominal debt burdens. These insights are based on a recently released research paper.