246 posts on "Macroeconomics"
October 9, 2024
A New Indicator of Labor Market Tightness for Predicting Wage Inflation
A key question in economic policy is how labor market tightness affects wage inflation and ultimately prices. In this post, we highlight the importance of two measures of tightness in determining wage growth: the quits rate, and vacancies per searcher (V/S)—where searchers include both employed and non-employed job seekers. Amongst a broad set of indicators, we find that these two measures are independently the most strongly correlated with wage inflation. We construct a new index, called the Heise-Pearce-Weber (HPW) Tightness Index, which is a composite of quits and vacancies per searcher, and show that it performs best of all in explaining U.S. wage growth, including over the COVID pandemic and recovery.
September 4, 2024
Can Professional Forecasters Predict Uncertain Times?
Economic surveys are very popular these days and for a good reason. They tell us how the folks being surveyed—professional forecasters, households, firm managers—feel about the economy. So, for instance, the New York Fed’s Survey of Consumer Expectations (SCE) website displays an inflation uncertainty measure that tells us households are more uncertain about inflation than they were pre-COVID, but a bit less than they were a few months ago. The Philadelphia Fed’s Survey of Professional Forecasters (SPF) tells us that forecasters believed last May that there was a lower risk of negative 2024 real GDP growth than there was last February. The question addressed in this post is: Does this information actually have any predictive content? Specifically, I will focus on the SPF and ask: When professional forecasters indicate that their uncertainty about future output or inflation is higher, does that mean that output or inflation is actually becoming more uncertain, in the sense that the SPF will have a harder time predicting these variables?
September 3, 2024
Are Professional Forecasters Overconfident?
The post-COVID years have not been kind to professional forecasters, whether from the private sector or policy institutions: their forecast errors for both output growth and inflation have increased dramatically relative to pre-COVID (see Figure 1 in this paper). In this two-post series we ask: First, are forecasters aware of their own fallibility? That is, when they provide measures of the uncertainty around their forecasts, are such measures on average in line with the size of the prediction errors they make? Second, can forecasters predict uncertain times? That is, does their own assessment of uncertainty change on par with changes in their forecasting ability? As we will see, the answer to both questions sheds light of whether forecasters are rational. And the answer to both questions is “no” for horizons longer than one year but is perhaps surprisingly “yes” for shorter-run forecasts.
July 11, 2024
The Mysterious Slowdown in U.S. Manufacturing Productivity
Throughout the twentieth century, steady technological and organizational innovations, along with the accumulation of productive capital, increased labor productivity at a steady rate of around 2 percent per year. However, the past two decades have witnessed a slowdown in labor productivity, measured as value added per hour worked or sectoral output per hour worked. This slowdown has been particularly stark in the manufacturing sector, which historically has been a leading sector in driving the productivity of the aggregate U.S. economy. What makes this slowdown particularly puzzling is the fact that manufacturing accounts for the majority of U.S. research and development (R&D) expenditure. Despite several recent studies (see, for example, Syverson [2016]), much remains to be uncovered about the nature of this slowdown. This post illustrates a key facet of the mystery: the productivity slowdown appears to be pervasive across industries and across firms of various sizes.
May 3, 2024
Has Market Concentration in U.S. Manufacturing Increased?
The increasing dominance of large firms in the United States has raised concerns about pricing power in the product market. The worry is that large firms, facing fewer competitors, could increase their markups over marginal costs without fear of losing market share. In a recently published paper, we show that although sales of domestic firms have become more concentrated in the manufacturing sector, this development has been accompanied by the entry and growth of foreign firms. Import competition has lowered U.S. producers’ share of the U.S. market and put smaller, less efficient domestic firms out of business. Overall, market concentration in manufacturing was stable in recent decades, though import penetration has greatly altered the makeup of the U.S. manufacturing sector.
Posted at 7:00 am in Macroeconomics | Permalink
March 26, 2024
What Happens to U.S. Activity and Inflation if China’s Property Sector Leads to a Crisis?
A previous post explored the potential implications for U.S. growth and inflation of a manufacturing-led boom in China. This post considers spillovers to the U.S. from a downside scenario, one in which China’s ongoing property sector slump takes another leg down and precipitates an economic hard landing and financial crisis.
March 4, 2024
Global Supply Chains and U.S. Import Price Inflation
Inflation around the world increased dramatically with the reopening of economies following COVID-19. After reaching a peak of 11 percent in the second quarter of 2021, world trade prices dropped by more than five percentage points by the middle of 2023. U.S. import prices followed a similar pattern, albeit with a lower peak and a deeper trough. In a new study, we investigate what drove these price movements by using information on the prices charged for products shipped from fifty-two exporters to fifty-two importers, comprising more than twenty-five million trade flows. We uncover several patterns in the data: (i) From 2021:Q1 to 2022:Q2, almost all of the growth in U.S. import prices can be attributed to global factors, that is, trends present in most countries; (ii) at the end of 2022, U.S. import price inflation started to be driven by U.S. demand factors; (iii) in 2023, foreign suppliers to the U.S. market caught up with demand and account for the decline in import price inflation, with a significant role played by China.
February 28, 2024
Can Electric Cars Power China’s Growth?
China’s aggressive policies to develop its battery-powered electric vehicle (BEV) industry have been successful in making the country the dominant producer of these vehicles worldwide. Going forward, BEVs will likely claim a growing share of global motor vehicle sales, helped along by subsides and mandates implemented in the United States, Europe, and elsewhere. Nevertheless, China’s success in selling BEVs may not contribute much to its GDP growth, owing both to the maturity of its motor vehicle sector and the strong tendency for countries to protect this high-profile industry.
January 8, 2024
Measuring Price Inflation and Growth in Economic Well‑Being with Income‑Dependent Preferences
How can we accurately measure changes in living standards over time in the presence of price inflation? In this post, I discuss a novel and simple methodology that uses the cross-sectional relationship between income and household-level inflation to construct accurate measures of changes in living standards that account for the dependence of consumption preferences on income. Applying this method to data from the U.S. suggests potentially substantial mismeasurements in our available proxies of average growth in consumer welfare in the U.S.
December 15, 2023
The New York Fed DSGE Model Forecast—December 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 September 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.
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