AFTER THE FALL: AN EX POST CHARACTERIZATION OF HOUSING PRICE DECLINES ACROSS METROPOLITAN AREAS

Housing prices have plummeted across the United States. This article examines differences in the magnitude of housing price decreases across metropolitan areas. A small number of housing market variables observable before the fall are capable of explaining over 70% of the considerable variation in price declines. An additional non‐parametric analysis suggests that exceeding particular thresholds for some of the key predictors is associated with much larger price drops. These findings are consistent with historical price patterns, which raises questions about the validity of mortgage pricing policy and risk diversification norms in the United States. The analysis points to a set of stylized facts concerning the housing price bubble that need to be explained and suggests fruitful hypotheses for understanding the dramatic housing price declines. (JEL R31, R21, R11, G21)     

Did FinTech Lenders Facilitate PPP Fraud?

In the $793 billion Paycheck Protection Program, we examine metrics related to potential misreporting including nonregistered businesses, multiple businesses at residential addresses, abnormally high implied compensation per employee, and large inconsistencies with jobs reported in another government program. These measures consistently concentrate in certain FinTech lenders and are cross-verified by seven additional measures. FinTech market share increased significantly over time, and suspicious lending by FinTechs in 2021 is four times the level at the start of the program. Suspicious loans are being overwhelmingly forgiven at rates similar to other loans.     

Do Municipal Bond Dealers Give Their Customers “Fair and Reasonable” Pricing?

Municipal bonds exhibit considerable retail pricing variation, even for same-size trades of the same bond on the same day, and even from the same dealer. Markups vary widely across dealers. Trading strongly clusters on eighth price increments, and clustered trades exhibit higher markups. Yields are often lowered to just above salient numbers. Machine learning estimates exploiting the richness of the data show that dealers that use strategic pricing have systematically higher markups. Recent Municipal Securities Rulemaking Board rules have had only a limited impact on markups. While a subset of dealers focus on best execution, many dealers appear focused on opportunistic pricing.