Existing studies on the returns to college selectivity have mixed results, mainly due to the difficulty of controlling for selection into more-selective colleges based on unobserved ability. Moreover, researchers have not considered graduate degree attainment in the analysis of labour market...

This paper attemps to identify the trend unemployment rate, an empirical concept, using cointegration theory.

The Bank of Canada's new Quarterly Projection Model, QPM, Comnines the short-term dynamic properties necessary to support regular economic projections with the consistent behavioural structure necessary for policy analysis.

Real wage rigidities have recently been proposed as a way of building intrinsic persistence in inflation within the context of New Keynesian Phillips Curves. Using two recent illustrative structural models, we evaluate empirically the importance of real wage rigidities in the data and the extent...

This paper proposes a novel regression-based approach to the estimation of Gaussian dynamic term structure models that avoids numerical optimization. This new estimator is an asymptotic least squares estimator defined by the no-arbitrage conditions upon which these models are built. We discuss...

The authors use simple new finite-sample methods to test the empirical relevance of the New Keynesian Phillips curve (NKPC) equation. Unlike tests based on the generalized method of moments, the generalized Anderson-Rubin (1949) tests are immune to the presence of weak instruments and allow, by...

The authors use identification-robust methods to assess the empirical adequacy of a New Keynesian Phillips curve (NKPC) equation. They focus on Galí and Gertler's (1999) specification, for both U.S. and Canadian data. Two variants of the model are studied: one based on a rational-expectations...

This paper is a user' guide to a set of Guss procedures developed at the Bank of Canada for estimating regime-switching models. The procedure can estimate relatively quickly a wide variety of switching models and so should prove useful to the applied researchers. Sample program listings are...

Estimation of the quantile model, especially with a large data set, can be computationally burdensome. This paper proposes using the Gaussian approximation, also known as quantile coupling, to estimate a quantile model. The intuition of quantile coupling is to divide the original observations...

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. This paper proposes an efficient alternative that combines...