This paper presents a high-frequency structural VAR framework for identifying oil price shocks and examining their uncertainty transmission in the U.S. macroeconomy and financial markets. Leveraging the stylized features of financial data - specifically, volatility clustering effectively...

We analyze data about cigarette tax compliance from the first national scale littered cigarette packs collection. We code each pack based on whether an appropriate tax had been paid at the location where it was found. Noncompliance across our 132 sample communities ranges from zero to one...

In empirical macroeconomics, proxy structural vector autoregressive models (SVARs) have become a prominent path towards detecting monetary policy (MP) shocks. However, in practice, the merits of proxy SVARs depend on the relevance and exogeneity of the instrumental information employed. Our...

In empirical macroeconomics, proxy structural vector autoregressive models (SVARs) have become a prominent path towards detecting monetary policy (MP) shocks. However, in practice, the merits of proxy SVARs depend on the relevance and exogeneity of the instrumental information employed. Our...

In empirical macroeconomics, proxy structural vector autoregressive models (SVARs) have become a prominent path towards detecting monetary policy (MP) shocks. However, in practice, the merits of proxy SVARs depend on the relevance and exogeneity of the instrumental information employed. Our...

The Weapon-Target Assignment (WTA) problem seeks to compute an optimal assignment of m weapons to n targets such that the expected total survival possibility of the targets is minimized (or equivalently, the expected total damage of the targets is maximized). The WTA problem is known to be...

In empirical macroeconomics, proxy structural vector autoregressive models (SVARs) have become a prominent path towards detecting monetary policy (MP) shocks. However, in practice, the merits of proxy SVARs depend on the relevance and exogeneity of the instrumental information employed. Our...

This paper presents a high-frequency structural VAR framework for identifying oil price shocks and examining their uncertainty transmission in the U.S. macroeconomy and financial markets. Leveraging the stylized features of financial data - specifically, volatility clustering effectively...

We propose the concept of “inclusive economic resilience” and examine intra-regional economic recovery in American metropolitan areas after the Great Recession. Previous studies have treated regional and municipal economic resilience separately with little attention to within-region...