Search

Content Types

Research Topics

JEL Codes

Locations

Departments

Authors

Sources

Statuses

Published After

Published Before

2975 Results

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.

E-Money: Efficiency, Stability and Optimal Policy

Staff Working Paper 2014-16 Jonathan Chiu, Tsz-Nga Wong
What makes e-money more special than cash? Is the introduction of e-money necessarily welfare enhancing? Is an e-money system necessarily stable? What is the optimal way to design an efficient and stable e-money scheme?
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 Discrete Choice Demand Models with Sparse Market-Product Shocks

Staff Working Paper 2025-10 Zhentong Lu, Kenichi Shimizu
We propose a novel approach to estimating consumer demand for differentiated products. We eliminate the need for instrumental variables by assuming demand shocks are sparse. Our empirical applications reveal strong evidence of sparsity in real-world datasets.

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.

Estimating the Policy Rule from Money Market Rates when Target Rate Changes Are Lumpy

Staff Working Paper 2012-41 Jean-Sébastien Fontaine
Most central banks effect changes to their target or policy rate in discrete increments (e.g., multiples of 0.25%) following public announcements on scheduled dates. Still, for most applications, researchers rely on the assumption that the policy rate changes linearly with economic conditions and they do not distinguish between dates with and without scheduled announcements.
Content Type(s): Staff research, Staff working papers Research Topic(s): Asset pricing, Financial markets, Interest rates JEL Code(s): E, E4, E43, E44, E47, G, G1, G12, G13

A Simple Method for Extracting the Probability of Default from American Put Option Prices

Staff Working Paper 2020-15 Bo Young Chang, Greg Orosi
A put option is a financial contract that gives the holder the right to sell an asset at a specific price by (or at) a specific date. A put option can therefore provide its holder insurance against a large drop in the stock price. This makes the prices of put options an ideal source of information for a market-based measure of the probability of a firm’s default.

Filling in the Blanks: Network Structure and Interbank Contagion

Staff Working Paper 2014-26 Kartik Anand, Ben Craig, Goetz von Peter
The network pattern of financial linkages is important in many areas of banking and finance. Yet bilateral linkages are often unobserved, and maximum entropy serves as the leading method for estimating counterparty exposures.

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
Go To Page