The authors study the macroeconomic consequences of large military buildups using a New Neoclassical Synthesis (NNS) approach that combines nominal rigidities within imperfectly competitive goods and labour markets. They show that the predictions of the NNS framework generally are consistent...

The authors identify the fundamentals behind the dynamics of the U.S. stock market over the past 30 years. They specify a structural vector-error-correction model following the methodology of King, Plosser, Stock, and Watson (1991). This methodology identifies structural shocks with the...

In this paper we develop a quantitative model of entrepreneurial activity (risk-taking) and consumer bankruptcy choices and use the model to study the effects of bankruptcy regulations on entrepreneurial activity, bankruptcy rate and welfare. We show that eliminating bankruptcy exemptions leads...

Diffusion functions in term-structure models are measures of uncertainty about future price movements and are directly related to the risk associated with holding financial securities. Correct specification of diffusion functions is crucial in pricing options and other derivative securities. In...

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...

Using a rich sample of Canadian government securities auctions, we estimate the structural parameters of a share-auction model accounting for asymmetries across bidders. We find little evidence of asymmetries between participants at Canadian government nominal bond auctions. A counter-factual...

Differences in market structures may affect the manner in which fundamental information is incorporated into prices. High levels of quote and trade transparency plus substantial quoting obligations in European government securities markets ensure that prices are informationally efficient. The...