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2997 Results

Does Inflation Uncertainty Vary with the Level of Inflation?

Staff Working Paper 1996-9 Allan Crawford, Marcel Kasumovich
The purpose of this study is to test the hypothesis that inflation uncertainty increases at higher levels of inflation. Our analysis is based on the generalized autoregressive conditional heteroscedasticity (GARCH) class of models, which allow the conditional variance of the error term to be time-varying. Since this variance is a proxy for inflation uncertainty, a positive relationship between the conditional variance and inflation would be interpreted as evidence that inflation uncertainty increases with the level of inflation.
Content Type(s): Staff research, Staff working papers Research Topic(s): Inflation and prices, Monetary policy and uncertainty JEL Code(s): C, C5, C52, E, E3, E31

Merchant Acceptance, Costs, and Perceptions of Retail Payments: A Canadian Survey

Staff Discussion Paper 2008-12 Carlos Arango, Varya Taylor
Using the results of a survey on accepted means of payment, the authors examine merchant preferences and perceptions of retail payment reliability, risk, and costs; the share of each type of payment method over total sales; and the costs involved in accepting payments.
Content Type(s): Staff research, Staff discussion papers Research Topic(s): Bank notes JEL Code(s): E, E4, E41, L, L2

Price-Level versus Inflation Targeting with Financial Market Imperfections

Staff Working Paper 2008-26 Francisco Covas, Yahong Zhang
This paper compares price-level-path targeting (PT) with inflation targeting (IT) in a sticky-price, dynamic, general equilibrium model augmented with imperfections in both the debt and equity markets.

Assessing the Predictive Ability of Sovereign Default Risk on Exchange Rate Returns

Staff Working Paper 2017-19 Claudia Foroni, Francesco Ravazzolo, Barbara Sadaba
Increased sovereign credit risk is often associated with sharp currency movements. Therefore, expectations of the probability of a sovereign default event can convey important information regarding future movements of exchange rates.

Gender Gaps in Time Use and Entrepreneurship

Staff Working Paper 2024-43 Pedro Bento, Lin Shao, Faisal Sohail
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.
Content Type(s): Staff research, Staff working papers Research Topic(s): Firm dynamics, Productivity JEL Code(s): J, J2, L, L2, O, O1

Perceived versus Calibrated Income Risks in Heterogeneous-Agent Consumption Models

Staff Working Paper 2023-59 Tao Wang
Perceived income risks reported in a survey of consumer expectations are more heterogeneous and, on average, lower than indirectly calibrated risks based on panel data. They prove to be one explanation for why a large fraction of households hold very little liquid savings and why accumulated wealth is widely unequal across households.
December 23, 2006

Global Savings, Investment, and World Real Interest Rates

Over the past 25 years, world long-term interest rates have declined to levels not seen since the 1960s. This decline has been accompanied by falling world investment and savings rates. The authors explore global saving and investment outcomes that have led to the fall in the world real interest rate. The results show that the key factors explaining movements in savings and investment are variables that evolve relatively slowly over time, such as labour force growth and the age structure of the world economy. The conclusions suggest that, over the coming years, it is unlikely that these slowly changing variables will be a source of significant changes in world real interest rates.

Estimating Large-Dimensional Connectedness Tables: The Great Moderation Through the Lens of Sectoral Spillovers

Staff Working Paper 2021-37 Felix Brunner, Ruben Hipp
Understanding the size of sectoral links is crucial to predicting the impact of a crisis on the whole economy. We show that statistical learning techniques substantially outperform traditional estimation techniques when measuring large networks of these links.
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