The Federal Reserve Bank of New York works to promote sound and well-functioning financial systems and markets through its provision of industry and payment services, advancement of infrastructure reform in key markets and training and educational support to international institutions.
William Chen, Marco Del Negro, Michele Lenza, Giorgio Primiceri, and Andrea Tambalotti
U.S. inflation used to rise during economic booms, as businesses charged higher prices to cope with increases in wages and other costs. When the economy cooled and joblessness rose, inflation declined. This pattern changed around 1990. Since then, U.S. inflation has been remarkably stable, even though economic activity and unemployment have continued to fluctuate. For example, during the Great Recession unemployment reached 10 percent, but inflation barely dipped below 1 percent. More recently, even with unemployment as low as 3.5 percent, inflation remained stuck under 2 percent. What explains the emergence of this disconnect between inflation and unemployment? This is the question we address in “What’s Up with the Phillips Curve?,” published recently in Brookings Papers on Economic Activity.
At the end of March, we launched the Weekly Economic Index (WEI) as a tool to monitor changes in real activity during the pandemic. The rapid deterioration in economic conditions made it important to assess developments as soon as possible, rather than waiting for monthly and quarterly data to be released. In this post, we describe how the WEI has measured the effects of COVID-19. So far in 2020, the WEI has synthesized daily and weekly data to measure GDP growth remarkably well. We document this performance, and we offer some guidance on evaluating the WEI’s forecasting abilities based on 2020 data and interpreting WEI updates and revisions.
William Chen, Marco Del Negro, Ethan Matlin, and Reca Sarfati
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. 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.
Ozge Akinci, William Chen, Marco Del Negro, Ethan Matlin, and Reca Sarfati
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 December 2019. 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.
Mary Amiti, Sang Hoon Kong, and David E. Weinstein
Starting in early 2018, the U.S. government imposed tariffs on over $300 billion of U.S. imports from China, increasing the average tariff rate from 2.7 percent to 17.5 percent. Much of the escalation in tariffs occurred in the second and third quarters of 2019. In response, the Chinese government retaliated, increasing the average tariff applied on U.S. exports from 5.7 percent to 20.4 percent. Our new study finds that the trade war reduced U.S. investment growth by 0.3 percentage points by the end of 2019, and is expected to shave another 1.6 percentage points off of investment growth by the end of 2020. In this post, we review our study of the trade war’s effect on U.S. investment.
Ozge Akinci, Gianluca Benigno, and Albert Queralto
The COVID-19 outbreak has triggered unusually fast outﬂows of dollar funding from emerging market economies (EMEs). These outflows are known as “sudden stop” episodes, and they are typically followed by economic contractions. In this post, we assess the macroeconomic eﬀects of the COVID-induced sudden stop of capital flows to EMEs, using our open-economy DSGE model. Unlike existing frameworks, such as the Federal Reserve Board’s SIGMA model, our model features both domestic and international ﬁnancial constraints, making it well-suited to capture the eﬀects of an outﬂow of dollar funding. The model predicts output losses in EMEs due in part to the adverse eﬀect of local currency depreciation on private-sector balance sheets with dollar debts. The ﬁnancial stresses in EMEs, in turn, spill back to the U.S. economy, through both trade and ﬁnancial channels. The model-predicted output losses are persistent (consistent with previous sudden stop episodes), with financial effects being a significant drag on the recovery. We stress that we are only tracing out the effects of one particular channel (the stop of capital flows and its associated effect on funding costs) and not the totality of COVID-related effects.
Since the outbreak of the COVID-19 pandemic in late January, oil prices have fallen sharply. In this post, we compare recent price declines with those seen in previous oil price collapses, focusing on the drivers of such episodes. In order to do that, we break oil price shocks down into demand and supply components, applying the methodology behind the New York Fed’s weekly Oil Price Dynamics Report.
The rapid increase in U.S. oil production of recent years was looking difficult to sustain before the pandemic, as evidenced by the limited profitability of the sector. Now, U.S. producers may have to bear the brunt of the global supply adjustment needed over the near term.
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