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Important choices for the Federal Reserve in the years ahead: remarks at Lehman College, Bronx, New York
Remarks at Lehman College, Bronx, New York.
We Are All Behavioral, More or Less: Measuring and Using Consumer-Level Behavioral Sufficient Statistics
Can a behavioral sufficient statistic empirically capture cross-consumer variation in behavioral tendencies and help identify whether behavioral biases, taken together, are linked to material consumer welfare losses? Our answer is yes. We construct simple consumer-level behavioral sufficient statistics??B-counts??by eliciting seventeen potential sources of behavioral biases per person, in a nationally representative panel, in two separate rounds nearly three years apart. B-counts aggregate information on behavioral biases within-person. Nearly all consumers exhibit multiple biases, in ...
Perspectives on the U.S. Economic Outlook
My view is that the economy is currently in a good place. Labor markets are strong, inflation is moving to target, and growth is likely to be somewhat above potential. Particularly given the recent cuts in the federal funds rate, and the fact that monetary actions take effect with some lag, I would say that this is a good time to patiently assess the economy. In the short run, I do not see a need for additional policy easing unless there is a material change to the forecast.
Do Stay-at-Home Orders Cause People to Stay at Home? Effects of Stay-at-Home Orders on Consumer Behavior
We link the county-level rollout of stay-at-home orders to anonymized cell phone records and consumer spending data. We document three patterns. First, stay-at-home orders caused people to stay at home: County-level measures of mobility declined 9–13% by the day after the stay-at-home order went into effect. Second, stay-at-home orders caused large reductions in spending in sectors associated with mobility: restaurants and retail stores. However, consumers sharply increased spending on food delivery services after orders went into effect. Third, while the response of residents to ...
Tracking the Economic Impact of the Pandemic Using High-Frequency Data
High-frequency data can provide a quicker snapshot of economic conditions than data that take weeks or months to become available.
Did State Reopenings Increase Consumer Spending?
The spread of COVID-19 in the United States has had a profound impact on economic activity. Beginning in March, most states imposed severe restrictions on households and businesses to slow the spread of the virus. This was followed by a gradual loosening of restrictions (“reopening”) starting in April. As the virus has re-emerged, a number of states have taken steps to reverse the reopening of their economies. For example, Texas and Florida closed bars again in June, and Arizona additionally paused operations of gyms and movie theatres. Taken together, these measures raise the question of ...