For decades, households' subjective expectations elicited via surveys have been
considered meaningless because they often differ substantially from the forecasts of …

The growth of the availability and use of detailed household financial transaction micro data
has dramatically expanded the ability of researchers to understand both household decision …

We provide the first empirical analysis of the relationship between algorithmic pricing (AP)
and competition by studying the impact of adoption in Germany's retail gasoline market …

Traditional approaches to structural vector autoregressions (VARs) can be viewed as
special cases of Bayesian inference arising from very strong prior beliefs. These methods …

Studies identifying oil shocks using structural vector autoregressions (VARs) reach different
conclusions on the relative importance of supply and demand factors in explaining oil …

We use a novel retail panel with detailed transaction records to study the effect of the
Supplemental Nutrition Assistance Program (SNAP) on household spending. We use …

This paper studies the macroeconomic effects of energy price shocks in energy-importing
economies using a heterogeneous-agent New Keynesian model. When MPCs are …

We implement a survey of Dutch households in which random subsets of respondents
receive information about inflation. The resulting exogenously generated variation in …

We explore the effect of the sharp and sustained decline after June 2014 in the global price
of crude oil (and hence in the US price of gasoline) on US real GDP growth. Our analysis …

Abstract We develop a Bayesian Structural VAR model to study the relationship between
different energy shocks and inflation dynamics in Europe. Specifically, we model the …