We employ real-time data available to the US monetary policy makers to estimate a Taylor rule augmented with a measure of financial uncertainty over the period 1969-2008. We find evidence in favor of a systematic response to financial uncertainty over and above that to expected inflation, output...

In markets for credence goods – such as health care or repair services – fraudulent behavior by better informed experts is a common problem. Our model studies how four common features shape experts’ provision behavior in credence goods markets: (i) diagnostic uncertainty of experts; (ii)...

Credence goods markets are prone to fraudulent behavior and market inefficiencies due to informational asymmetries between sellers and customers. We examine experimentally the effects of diagnostic uncertainty and insurance coverage on the information acquisition and provision decisions by...

Credence goods markets are prone to fraudulent behavior and market inefficiencies due to informational asymmetries between sellers and customers. We examine experimentally the effects of diagnostic uncertainty and insurance coverage on the information acquisition and provision decisions by...

In markets for credence goods - such as health care or repair services - fraudulent behavior by better informed experts is a common problem. Our model studies how four common features shape experts' provision behavior in credence goods markets: (i) diagnostic uncertainty of experts; (ii)...

In markets for credence goods - such as health care or repair services - fraudulent behavior by better informed experts is a common problem. Our model studies how four common features shape experts' provision behavior in credence goods markets: (i) diagnostic uncertainty of experts; (ii)...

Credence goods markets are prone to fraudulent behavior and market inefficiencies due to informational asymmetries between sellers and customers. We examine experimentally the effects of diagnostic uncertainty and insurance coverage on the information acquisition and provision decisions by...

This paper uses a nonlinear vector autoregression and a non-recursive identification strategy to show that an equal-sized uncertainty shock generates a larger contraction in real activity when growth is low (as in recessions) than when growth is high (as in expansions). An estimated New...

We estimate a novel measure of global financial uncertainty (GFU) with a dynamic factor framework that jointly models global, regional, and country-specific factors. We quantify the impact of GFU shocks on global output with a VAR analysis that achieves set-identification via a combination of...