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2120 Results

Reconciling the Differences in Aggregate U.S. Wage Series

Staff working paper 2016-1 Julien Champagne, André Kurmann, Jay Stewart
Average hourly real wage series from the Labor Productivity and Costs (LPC) program and the Current Employment Statistics (CES) program have evolved very differently over the past decades.

The uneven economic consequences of COVID 19: A structural analysis

Staff analytical note 2021-17 Martin Kuncl, Austin McWhirter, Alexander Ueberfeldt
Using a structural model, we study the economic consequences of the COVID-19 shock. The uneven consequences, such as higher unemployment among young households, amplify the negative implications for the macroeconomy, household vulnerabilities and consumption inequality. Government support programs have stimulated the economy and lowered inequality and medium-term vulnerabilities.

Saving after Retirement and Preferences for Residual Wealth

Staff working paper 2024-21 Giulio Fella, Martin B. Holm, Thomas Michael Pugh
We estimate a model of households in Norway with bequest motives, health-dependent utility, and uncertain longevity and health. Our estimates imply strong bequest motives for households both with and without offspring. We interpret this as suggestive evidence that utility from residual wealth represents forces beyond an altruistic bequest motive.

CBDC in the Market for Payments at the Point of Sale: Equilibrium Impact and Incumbent Responses

Staff working paper 2024-52 Walter Engert, Oleksandr Shcherbakov, André Stenzel
We simulate introducing a central bank digital currency (CBDC) and consider consumer adoption, merchant acceptance and usage at the point of sale. Modest adoption frictions significantly inhibit CBDC market penetration along all three dimensions. Incumbent responses to restore pre-CBDC market shares are moderate to small and further reduce the impact of a CBDC.

A Look Inside the Box: Combining Aggregate and Marginal Distributions to Identify Joint Distributions

Staff working paper 2018-29 Marie-Hélène Felt
This paper proposes a method for estimating the joint distribution of two or more variables when only their marginal distributions and the distribution of their aggregates are observed. Nonparametric identification is achieved by modelling dependence using a latent common-factor structure.

On the Wedge Between the PPI and CPI Inflation Indicators

Staff working paper 2022-5 Shang-Jin Wei, Yinxi Xie
We find that the CPI and PPI inflation indexes co-moved strongly throughout the late 20th century, but their correlation has fallen substantially since the early 2000s. We offer a structural explanation for this divergence based on the growth of global supply chains since 2000. This finding offers a unique perspective for the future design of optimal monetary policy.

Borrowing Costs for Government of Canada Treasury Bills

Staff analytical note 2019-28 Jabir Sandhu, Adrian Walton, Jessica Lee
The cost of borrowing Government of Canada treasury bills (t-bills) in the repurchase (repo) market is mainly explained by the relationship between the parties involved. Some pairs of parties conduct most of their repos for t-bills rather than bonds, and at relatively high borrowing costs. We speculate that these pairs have formed a mutually beneficial service relationship in which one party consistently receives t-bills, while the other receives cash at a relatively cheap rate.

Markets Look Beyond the Headline

Staff analytical note 2018-37 Bruno Feunou, James Kyeong, Raisa Leiderman
Many reports and analyses interpret the release of new economic data based on the headline surprise—for instance, total inflation, real GDP growth and the unemployment rate. However, we find that headline news alone cannot adequately explain the responses of market prices to new information. Rather, market prices react more strongly, on average, to non-headline news such as the composition of GDP growth, quality of jobs created and revisions to past data. Thus, tracking the impact of non-headline information released on the news day is crucial in analyzing how markets interpret and react to new economic data.
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