Staff research
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Seasonal Adjustment of Weekly Data
The industry standard for seasonally adjusting data, X-13ARIMA-SEATS, is not suitable for high-frequency data. We summarize and assess several of the most popular seasonal adjustment methods for weekly data given the increased availability and promise of non-traditional data at higher frequencies. -
How Do Households Respond to Expected Inflation? An Investigation of Transmission Mechanisms
We conduct surveys to study how consumer spending responds to higher inflation expectations. Most respondents spend the same, sticking to fixed budget plans or not considering inflation for spending decisions. About 20% decrease spending because they feel poorer and cut spending to invest in inflation-proof assets. Very few increase spending. -
Gender Gaps in Time Use and Entrepreneurship
The prevalence of entrepreneurs, particularly low-productivity non-employers, declines as economies develop. This decline is more pronounced for women. Relative to men, women are more likely to be entrepreneurs in poor economies but less likely in rich economies. -
Mortgage stress tests and household financial resilience under monetary policy tightening
This note analyzes mortgage stress tests, a macroprudential tool. We find that when mortgage stress tests are applied to all mortgage purchase originations, they improve credit quality and reduce credit and house price growth. They also improve the resilience of borrowers to financial shocks, such as the large increase in interest rates during 2022–23.