Scott R. Baker

We estimate the causal effect of online sports betting on households' investment, spending, and debt management decisions using household transaction data and a staggered difference-in-differences framework. Following legalization, sports betting spreads quickly, with both the number of participants...

Empirical research in public economics, including our own, often uses variation in state and local taxes as an empirical laboratory to estimate causal relationships. A key concern is that other taxes might change at the same time. To assess this concern, we develop a dataset of state (19772022) and...

We provide a first look into the drivers of household cryptocurrency investing. Analyzing consumer transaction data for millions of U.S. households, we find that, except for high income early adopters, cryptocurrency investors resemble the general population. These investors span all income levels,...

This paper uses transaction-level data across millions of accounts to identify cryptocurrency investors and evaluate how fluctuations in individual crypto wealth affect household consumption, equity investment, and local real estate markets. We estimate an MPC out of unrealized crypto gains that is...

Chinas high household savings rate has attracted great academic interest but remains a puzzle. Potential explanations include demographic, policy, and financial causes. Yet a lack of reliable microlevel data on household finances makes it difficult to assess the relative importance of each factor....

We quantify and study state-level economic policy uncertainty. Tapping digital archives for nearly 3,500 local newspapers, we construct three monthly indexes for each state: one that captures state and local sources of policy uncertainty (EPU-S), one that captures national and international sources...

The growth of the availability and use of detailed household financial transaction microdata has dramatically expanded the ability of researchers to understand both household decision-making as well as aggregate fluctuations across a wide range of fields. This class of transaction data is derived...

We examine next-day newspaper accounts of large daily jumps in 19 national stock markets to assess their proximate cause, clarity as to cause, and geographic source. Our sample of over 8,000 jumps, reaching back to 1900 for the United States, yields several novel findings. First, news about monetary...

We examine patterns of economic policy uncertainty (EPU) around national elections in 23 countries. Uncertainty shows a clear tendency to rise in the months leading up to elections. Average EPU values are 13% higher in the month of and the month prior to an election than in other months of the same...

Households tend to hold substantial amounts of non-financial assets in the form of consumer goods inventories that are unobserved by traditional measures of wealth, about $725 on average for products covered by our sample. Such holdings can eclipse total financial assets among households in the...

This paper demonstrates that it is possible to construct accurate pictures of firm revenue, growth, geographic dispersion, and customer base characteristics using an increasingly accessible class of consumer financial transaction data. We develop two new measures which characterize firms' customer...

We consider several economic uncertainty indicators for the US and UK before and during the COVID-19 pandemic: implied stock market volatility, newspaper-based economic policy uncertainty, twitter chatter about economic uncertainty, subjective uncertainty about future business growth, and...

Uncertainty rises in recessions and falls in booms. But what is the causal relationship? We construct cross-country panel data on stock market returns to proxy for first- and second-moment shocks and instrument these with natural disasters, terrorist attacks, and political shocks. Our IV regression...

The 2020 CARES Act directed large cash payments to households. We analyze house-holds spending responses using high-frequency transaction data from a Fintech non-profit, exploring heterogeneity by income levels, recent income declines, and liquidity as well as linked survey responses about economic...

Higher corporate taxes must result in lower payments to shareholders, lower wages, or higher product prices. We study the impact of corporate taxes on barcode-level product prices using linked survey and administrative data. Our empirical strategy exploits the dichotomy between the location of...

Assessing the economic impact of the COVID-19 pandemic is essential for policymakers, but challenging because the crisis has unfolded with extreme speed. We identify three indicators stock market volatility, newspaper-based economic uncertainty, and subjective uncertainty in business expectation...

No previous infectious disease outbreak, including the Spanish Flu, has impacted the stock market as forcefully as the COVID-19 pandemic. In fact, previous pandemics left only mild traces on the U.S. stock market. We use text-based methods to develop these points with respect to large daily stock...

We explore how household consumption responds to epidemics, utilizing transaction-level household financial data to investigate the impact of the COVID-19 virus. As the number of cases grew, households began to radically alter their typical spending across a number of major categories. Initially...

Press reports on contributors to market volatility have long emphasized news about GDP, inflation, and other economic aggregates, but news about policy has become increasingly important. Drawing on newspaper stories about stock market volatility, Scott R. Baker, Nicholas Bloom, Steven J. Davis, and...

We create a newspaper-based Equity Market Volatility (EMV) tracker that moves with the VIX and with the realized volatility of returns on the S&P 500. Parsing the underlying text, we find that 72 percent of EMV articles discuss the Macroeconomic Outlook, and 44 percent discuss Commodity Markets....

Announcing sales tax increases before they take effect substantially spurs auto purchases in the month before the tax increase kicks in. What can government authorities do if central bank interest rates are at zero and regulators still wish to stimulate the economy? Scott R. Baker, Lorenz Kueng,...

When the zero lower bound on nominal interest rate binds, monetary policy makers may lack traditional tools to stimulate aggregate demand. We investigate whether "unconventional" fiscal policy, in the form of pre-announced consumption tax changes, has the potential to meaningfully shift durables...

When the zero lower bound on nominal interest rate binds, monetary policy makers may lack traditional tools to stimulate aggregate demand. We investigate whether "unconventional" fiscal policy, in the form of pre-announced consumption tax changes, has the potential to meaningfully shift durables...

Because of limitations in survey-based measures of household consumption, a growing literature uses an alternative measure of consumer expenditures commonly referred to as "imputed consumption." This approach typically utilizes annual snapshots of household income and wealth from administrative tax...

Using comprehensive high-frequency state and local sales tax data, we show that shopping behavior responds strongly to changes in sales tax rates. Even though sales taxes are not observed in posted prices and have a wide range of rates and exemptions, consumers adjust in many dimensions. They stock...

We develop a new index of economic policy uncertainty (EPU) based on newspaper coverage frequency. Several types of evidence including human readings of 12,000 newspaper articles indicate that our index proxies for movements in policy-related economic uncertainty. Our US index spikes near tight...

There appears to be a strong upward drift in policy-related economic uncertainty after 1960. We consider two classes of explanations for this rise. The first stresses growth in government spending, taxes, and regulation. A second stresses increased political polarization and its implications for the...

[D]ifferences in uncertainty across countries appear to explain about half of the variation in GDP growth following major shocks. A growing body of evidence suggests that uncertainty rises sharply in recessions and falls in booms. This was evident during the Great Recession. But does uncertainty...

A growing body of evidence suggests that uncertainty is counter cyclical, rising sharply in recessions and falling in booms. But what is the causal relationship between uncertainty and growth? To identify this we construct cross country panel data on stock market levels and volatility as proxies for...