Economic Letter

Brief summaries of SF Fed economic research that explain in reader-friendly terms what our work means for the people we serve.

  • Climate Change and the Federal Reserve

    2019-09

    Glenn D. Rudebusch

    Climate change describes the current trend toward higher average global temperatures and accompanying environmental shifts such as rising sea levels and more severe storms, floods, droughts, and heat waves. In coming decades, climate change—and efforts to limit that change and adapt to it—will have increasingly important effects on the U.S. economy. These effects and their associated risks are relevant considerations for the Federal Reserve in fulfilling its mandate for macroeconomic and financial stability.

  • Modeling Financial Crises

    2019-08

    Pascal Paul

    Research has revealed several facts about financial crises based on historical data. Crises are rare events that are associated with severe recessions that are typically deeper than normal recessions. They are usually preceded by a buildup of system imbalances, particularly a rapid increase of credit. Financial crises tend to occur after prolonged booms but do not necessarily result from large shocks. Recent work shows a novel way to replicate these facts in a standard macroeconomic model, which policymakers could use to gain insights to prevent future crises.

  • Inflationary Effects of Trade Disputes with China

    2019-07

    Galina Hale, Bart Hobijn, Fernanda Nechio, and Doris Wilson

    Imports from China are an important part of overall U.S. imports of consumer and investment goods. Thus, tariffs on these imports are likely to have sizable effects on consumer, producer, and investment prices in this country. Tariffs implemented thus far may have contributed an estimated 0.1 percentage point to consumer price inflation and 0.4 percentage point to price inflation for business investment goods. If implemented, an across-the-board 25% tariff on all Chinese imports would raise consumer prices an additional 0.3 percentage point and investment prices an additional 1.0 percentage point.

  • Measuring Connectedness between the Largest Banks

    2019-06

    Galina Hale, Jose A. Lopez, and Shannon Sledz

    The financial crisis provided a stark example of how interconnected the financial system is. Since then, researchers have developed several ways to monitor patterns of connectedness within the banking system. A key challenge is removing the impact of conditions that affect all banks in order to highlight evidence of direct connectedness. A new measure filters these common factors from bank stock market data. Estimates using this method show how different assumptions can affect conclusions about the connections among banks.

  • Inflation: Stress-Testing the Phillips Curve

    2019-05

    Òscar Jordà, Chitra Marti, Fernanda Nechio, and Eric Tallman

    The well-known Phillips curve describes inflation as a persistent process that depends on public expectations of future inflation and economic slack, a measure of how stretched the economy’s resources are. The role of each component has changed over time. In particular, maintaining the public’s expectations that the Federal Reserve is committed to an inflation target of 2% has grown in importance over the slack component, in part because realigning expectations is costly to undo. Such considerations are important as the Federal Reserve evaluates its future policy options.

  • How Much Could Negative Rates Have Helped the Recovery?

    2019-04

    Vasco Cúrdia

    The Federal Reserve dropped the federal funds rate to near zero during the Great Recession to bolster the U.S. economy. Allowing the federal funds rate to drop below zero may have reduced the depth of the recession and enabled the economy to return more quickly to its full potential. It also may have allowed inflation to rise faster toward the Fed’s 2% target. In other words, negative interest rates may be a useful tool to promote the Fed’s dual mandate.

  • Nonmanufacturing as an Engine of Growth

    2019-03

    Huiyu Li

    In official statistics, manufacturing is the top contributor to U.S. productivity growth despite its shrinking share of employment. However, official numbers tend to understate growth among new producers that improve on existing producers, which is more prevalent outside of manufacturing. Accounting for such missing productivity growth shows that it plays a larger role in sectors such as retail trade and services. Also, the relative contribution of manufacturing to productivity growth has dropped significantly. These findings suggest that nonmanufacturing may be an increasingly important engine of U.S. growth.

  • Does Ultra-Low Unemployment Spur Rapid Wage Growth?

    2019-02

    Sylvain Leduc, Chitra Marti, and Daniel J. Wilson

    The unemployment rate ended 2018 at just under 4%, substantially lower than most estimates of the natural rate. Could such an ostensibly tight labor market lead to a sharp pickup in wage growth from its recent moderate pace, such that the relationship between wage growth and unemployment is not always linear? Investigations using state-level data show no economically significant nonlinearity between wage growth and unemployment that would predict an abrupt jump in wage growth.

  • How Much Do We Spend on Imports?

    2019-01

    Galina Hale, Bart Hobijn, Fernanda Nechio, and Doris Wilson

    When U.S. shoppers buy something imported, are they also paying for local inputs? How much of what is “Made in the U.S.A.” actually is? These questions require accounting for both the U.S. components in the price of imported goods and the use of imported inputs in U.S. production. Estimates show that nearly half of spending on imports stays in the United States, paying for the local components of these goods. Over 10 cents of every dollar U.S. consumers spend reflects the cost of imports at various stages of production.

  • Using Sentiment and Momentum to Predict Stock Returns

    2018-29

    Kevin J. Lansing and Michael Tubbs

    Studies that seek to forecast stock price movements often consider measures of market sentiment or stock return momentum as predictors. Recent research shows that a multiplicative combination of sentiment and momentum can help predict the return on the Standard & Poor’s 500 stock index over the next month. This predictive power derives mainly from periods when sentiment has been declining over the past year and recent return momentum is negative—periods that coincide with an increase in investor attention to the stock market as measured by a Google search volume index.