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55 Results

Allocative Efficiency and the Productivity Slowdown

Staff Working Paper 2021-1 Lin Shao, Rongsheng Tang
In our analysis of the US productivity slowdown in the 1970s and 2000s, we find that a significant portion of this deceleration can be attributed to a lack of improvement in allocative efficiency across sectors. Our analysis further identifies increased sector-level volatility as a major contributor to this lack of improvement in allocative efficiency.
Content Type(s): Staff research, Staff working papers Research Topic(s): Economic models, Productivity JEL Code(s): E, E2, E23, O, O4, O47

Can Media and Text Analytics Provide Insights into Labour Market Conditions in China?

The official Chinese labour market indicators have been seen as problematic, given their small cyclical movement and their only-partial capture of the labour force. In our paper, we build a monthly Chinese labour market conditions index (LMCI) using text analytics applied to mainland Chinese-language newspapers over the period from 2003 to 2017.
January 30, 2006

Annual Report 2005

In 2005, the Bank of Canada celebrated its 70th anniversary. Since the Bank opened its doors in March 1935, it has evolved into a national institution at the heart of Canada’s economy. We had a lot to celebrate in 2005—particularly our progress over the past 70 yearsand our continuing contribution to the economic and financial well-being of Canadians.
Content Type(s): Publications, Annual Report
January 29, 2000

Annual Report 1999

The Canadian economy regained strong momentum in 1999 as the U.S. economy remained vigorous, the global economy recovered, and commodity prices moved upwards.
Content Type(s): Publications, Annual Report

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.

Risk-Cost Frontier and Collateral Valuation in Securities Settlement Systems for Extreme Market Events

Staff Working Paper 2006-17 Alejandro García, Ramazan Gençay
The authors examine how the use of extreme value theory yields collateral requirements that are robust to extreme fluctuations in the market price of the asset used as collateral.
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