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116 Results

Identification of Random Resource Shares in Collective Households Without Preference Similarity Restrictions

Staff Working Paper 2017-45 Geoffrey R. Dunbar, Arthur Lewbel, Krishna Pendakur
Resource shares, defined as the fraction of total household spending going to each person in a household, are important for assessing individual material well-being, inequality and poverty. They are difficult to identify because consumption is measured typically at the household level, and many goods are jointly consumed, so that individual-level consumption in multi-person households is not directly observed.

Adoption of a New Payment Method: Theory and Experimental Evidence

Staff Working Paper 2017-28 Jasmina Arifovic, John Duffy, Janet Hua Jiang
We model the introduction of a new payment method, e.g., e-money, that competes with an existing payment method, e.g., cash. The new payment method involves relatively lower per-transaction costs for both buyers and sellers, but sellers must pay a fixed fee to accept the new payment method.

Detecting Scapegoat Effects in the Relationship Between Exchange Rates and Macroeconomic Fundamentals

Staff Working Paper 2017-22 Lorenzo Pozzi, Barbara Sadaba
This paper presents a new testing method for the scapegoat model of exchange rates that aims to tighten the link between the theory on scapegoats and its empirical implementation. This new testing method consists of a number of steps.

Small‐Sample Tests for Stock Return Predictability with Possibly Non‐Stationary Regressors and GARCH‐Type Effects

Staff Working Paper 2017-10 Sermin Gungor, Richard Luger
We develop a simulation-based procedure to test for stock return predictability with multiple regressors. The process governing the regressors is left completely free and the test procedure remains valid in small samples even in the presence of non-normalities and GARCH-type effects in the stock returns.

Adoption Costs of Financial Innovation: Evidence from Italian ATM Cards

The discrete choice to adopt a financial innovation affects a household’s exposure to inflation and transactions costs. We model this adoption decision as being subject to an unobserved cost.

A Dynamic Factor Model for Nowcasting Canadian GDP Growth

Staff Working Paper 2017-2 Tony Chernis, Rodrigo Sekkel
This paper estimates a dynamic factor model (DFM) for nowcasting Canadian gross domestic product. The model is estimated with a mix of soft and hard indicators, and it features a high share of international data.

Terms-of-Trade and House Price Fluctuations: A Cross-Country Study

Staff Working Paper 2017-1 Paul Corrigan
Terms-of-trade shocks are known to be key drivers of business cycles in open economies. This paper argues that terms-of-trade shocks were also important for house price fluctuations in a panel of developed countries over the 1994–2015 period.
Content Type(s): Staff research, Staff working papers Topic(s): Financial stability, Housing, International topics JEL Code(s): C, C3, C32, E, E3, E32, E5, E51, F, F3, F36, F4, F41

Assessment of the Effects of Macroprudential Tightening in Canada

Staff Analytical Note 2016-12 Martin Kuncl
During the period of 2008 to 2012, the rules for government-backed mortgage insurance were tightened on four occasions. In this note, we estimate the effects through a simple econometric exercise using a vector error-correction model (VECM).

The Real-Time Properties of the Bank of Canada’s Staff Output Gap Estimates

We study the revision properties of the Bank of Canada’s staff output gap estimates since the mid-1980s. Our results suggest that the average staff output gap revision has decreased significantly over the past 15 years, in line with recent evidence for the U.S.

What Are the Macroeconomic Effects of High-Frequency Uncertainty Shocks

Staff Working Paper 2016-25 Laurent Ferrara, Pierre Guérin
This paper evaluates the effects of high-frequency uncertainty shocks on a set of low-frequency macroeconomic variables that are representative of the U.S. economy. Rather than estimating models at the same common low-frequency, we use recently developed econometric models, which allows us to deal with data of different sampling frequencies.
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