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455 Results

Composite Likelihood Estimation of an Autoregressive Panel Probit Model with Random Effects

Staff Working Paper 2019-16 Kerem Tuzcuoglu
Modeling and estimating persistent discrete data can be challenging. In this paper, we use an autoregressive panel probit model where the autocorrelation in the discrete variable is driven by the autocorrelation in the latent variable. In such a non-linear model, the autocorrelation in an unobserved variable results in an intractable likelihood containing high-dimensional integrals.

Simulating Intraday Transactions in the Canadian Retail Batch System

Staff Working Paper 2023-1 Nellie Zhang
This paper proposes a unique approach to simulate intraday transactions in the Canadian retail payments batch system when such transactions are unobtainable. The simulation procedure has potential for helping with data-deficient problems where only high-level aggregate information is available.

How Changes in Oil Prices Affect the Macroeconomy

Staff Working Paper 2009-33 Brian DePratto, Carlos De Resende, Philipp Maier
We estimate a New Keynesian general-equilibrium open economy model to examine how changes in oil prices affect the macroeconomy. Our model allows oil price changes to be transmitted through temporary demand and supply channels (affecting the output gap), as well as through persistent supply side effects (affecting trend growth).

The Dynamic Behaviour of Canadian Imports and the Linear-Quadratic Model: Evidence Based on the Euler Equation

Staff Working Paper 1994-6 Robert Amano, Tony S. Wirjanto
We examine the ability of the simple linear-quadratic model under rational expectations to explain dynamic behaviour of aggregate Canadian imports. In contrast to authors of previous studies who examine dynamic behaviour using the LQ model, we estimate the structural parameters using the Euler equation in a limited information framework that does not require an explicit solution for the model's control variables in terms of the exogenous forcing variables.

Optimal Estimation of Multi-Country Gaussian Dynamic Term Structure Models Using Linear Regressions

Staff Working Paper 2017-33 Antonio Diez de los Rios
This paper proposes a novel asymptotic least-squares estimator of multi-country Gaussian dynamic term structure models that is easy to compute and asymptotically efficient, even when the number of countries is relatively large—a situation in which other recently proposed approaches lose their tractability.

What do high-frequency expenditure network data reveal about spending and inflation during COVID‑19?

Staff Analytical Note 2020-20 Kim Huynh, Helen Lao, Patrick Sabourin, Angelika Welte
The official consumer price index (CPI) inflation measure, based on a fixed basket set before the COVID 19 pandemic, may not fully reflect what consumers are currently experiencing. We partnered with Statistics Canada to construct a more representative index for the pandemic with weights based on real-time transaction and survey data.

Risk Premium Shocks and the Zero Bound on Nominal Interest Rates

Staff Working Paper 2009-27 Robert Amano, Malik Shukayev
There appears to be a disconnect between the importance of the zero bound on nominal interest rates in the real-world and predictions from quantitative DSGE models. Recent economic events have reinforced the relevance of the zero bound for monetary policy whereas quantitative models suggest that the zero bound does not constrain (optimal) monetary policy.
Content Type(s): Staff research, Staff working papers Topic(s): Monetary policy framework JEL Code(s): E, E3, E32, E5, E52

How Long is Forever in the Laboratory? Three Implementations of an Infinite-Horizon Monetary Economy

Staff Working Paper 2021-16 Janet Hua Jiang, Daniela Puzzello, Cathy Zhang
Standard monetary models adopt an infinite horizon with discounting. Testing these models in the lab requires implementing this horizon within a limited time frame. We compare three approaches to such an implementation and discuss their relative advantages.

Exchange Rates and Oil Prices

Staff Working Paper 1995-8 Robert Amano, Simon van Norden
This paper derives analytical gradients for a broad class of regime-switching models with Markovian state-transition probabilities. Such models are usually estimated by maximum likelihood methods, which require the derivatives of the likelihood function with respect to the parameter vector. These gradients are usually calculated by means of numerical techniques. The paper shows that analytical gradients […]
Content Type(s): Staff research, Staff working papers Topic(s): Exchange rates

Combining Canadian Interest-Rate Forecasts

Staff Working Paper 2008-34 David Bolder, Yuliya Romanyuk
Model risk is a constant danger for financial economists using interest-rate forecasts for the purposes of monetary policy analysis, portfolio allocations, or risk-management decisions. Use of multiple models does not necessarily solve the problem as it greatly increases the work required and still leaves the question "which model forecast should one use?"
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