Assistant Professor
Department of Economics
Columbia University
1131 International Affairs Building, NY 10027
mg3901@columbia.edu     CV

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Working Papers

• Asset-Price Redistribution with A. Fagereng, E. Gouin-Bonenfant, M. Holm, B. Moll, and G. Natvik
  Over the last several decades, there has been a large increase in asset valuations across many asset classes. While these rising valuations had important effects on the distribution of wealth, little is known regarding their effect on the distribution of welfare . To make progress on this question, we develop a sufficient statistic for the money-metric welfare effect of deviations in asset valuations (i.e., changes in asset prices keeping cash flows fixed). This welfare effect depends on the present value of an individual's net asset sales rather than asset holdings: higher asset valuations benefit prospective sellers and harm prospective buyers. We estimate this quantity using panel microdata covering the universe of financial transactions in Norway from 1994 to 2019. We find that the rise in asset valuations had large redistributive effects: it redistributed from the young towards the old and from the poor towards the wealthy.
• Asset Prices and Wealth Inequality
  R&R, Review of Economic Studies
  Wealthy households disproportionately invest in equity, causing equity returns to generate fluctuations in wealth inequality. To examine the macro effect of these movements in the wealth distribution, I build a model in which agents have heterogeneous exposures to aggregate shocks. I show that the tail index of the wealth distribution depends of the average logarithmic return of top households. The model generates a two-way feedback between wealth inequality and asset prices, which magnifies the response of wealth inequality to aggregate shocks in the short-run but reduces it in the longer-run. The model, calibrated on U.S. data, can account for a large fraction of the fluctuations of asset prices and wealth inequality over the 20th century.

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Publications

• Wealth Inequality in a Low Rate Environment with E. Gouin-Bonenfant
  Econometrica (Forthcoming)
  Supplemental Appendix | Replication repository
  We study the effect of interest rates on wealth inequality. While lower rates decrease the growth rate of rentiers, they also increase the growth rate of entrepreneurs by making it cheaper to raise capital. To understand which effect dominates, we derive a sufficient statistic for the effect of interest rates on the Pareto exponent of the wealth distribution: it depends on the lifetime equity and debt issuance rate of individuals in the right tail of the wealth distribution. We estimate this sufficient statistic using new data on the trajectory of top fortunes in the U.S. Overall, we find that the secular decline in interest rates (or more generally of required rates of returns) can account for about 40% of the rise in Pareto inequality; that is, the degree to which the super rich pulled ahead relative to the rich.
• Sorting Out the Effect of Credit Supply with B. Chang and H. Hong
  Journal of Financial Economics (2023)
  Journal version | Replication repository
  We show that banks that cut lending more during the Great Recession lent to riskier firms. To examine the equilibrium effect of this sorting pattern, we build an assignment model in which banks have heterogeneous holding costs and firms have heterogeneous risks. In the model, loan volume declines more when negative credit supply shocks are concentrated on low holding cost banks like Lehman Brothers relative to high holding cost banks. We then use our model to recover the change in the distribution of bank holding costs during the Great Recession and quantify its effect on aggregate loan volume.
• Decomposing the Growth of Top Wealth Shares
  Econometrica (2023)
  Journal version | Replication repository | Stata command
  What drives the dynamics of top wealth inequality? To answer this question, I propose an accounting framework that decomposes the growth of the share of aggregate wealth owned by a top percentile into three terms: a within term, which is the average wealth growth of individuals initially in the top percentile relative to the economy; a between term, which accounts for individuals entering and exiting the top percentile due to changes in their relative wealth rankings; and a demography term, which accounts for individuals entering or exiting the top percentile due to death and population growth. I obtain closed-form expressions for each term in a wide range of random growth models. Evidence from the Forbes 400 list suggests that the between term accounts for half of the recent rise in top wealth inequality.
• Bank Exposure to Interest-Rate Risk and the Transmission of Monetary Policy with A. Landier, D. Sraer, and D. Thesmar
  Journal of Monetary Economics (2021)
  Journal version
  The cash-flow exposure of banks to interest rate risk, or income gap, is a significant determinant of the transmission of monetary policy to bank lending and real activity. When the Fed Funds rate rises, banks with a larger income gap generate stronger earnings and contract their lending by less than other banks. This finding is robust to controlling for factors known to affect the transmission of monetary policy to bank lending. It also holds on loan-level data, even when we control for firm-specific credit demand. When monetary policy tightens, firms borrowing from banks with a larger income gap reduce their investment by less than other firms.