We analyze the distributional effects of monetary policy on income, wealth and consumption. We use administrative household-level data covering the entire population in Denmark over the period 1987-2014 and exploit a long-standing currency peg as a source of exogenous variation in monetary...

How do households respond to job loss, and which self-insurance channels are most important? By linking customer data from the largest bank in Denmark with information from government administrative registers, we quantify a broad range of responses to job loss in a unified empirical framework....

This paper uses transaction-level customer data from the largest bank in Denmark to estimate the change in consumer spending caused by the COVID-19 pandemic and the resulting shutdown of the Danish economy. We find that aggregate spending was on average 27% below the counterfactual level without...

We combine transaction-level data from the largest retail bank in Denmark and individual-level data from government registers to study informal insurance within social networks. Accounting for transfers in cash (money transfers) and in kind (cohabitation), we estimate that family and friends...

How much and over what horizon do households adjust their consumption in response to stock market wealth shocks? We address these questions using granular data on spending and stock portfolios from a large bank and exploiting lottery-like variation in gains across investors with similar...