Bivariate VAR models are Monte Carlo simulated and OLS estimated, The resulting biases are used to compare two alternative approximations to the bias. They are found to be equivalent for first-order models, whereas for second-order models Nicholls and Pope's approximation outperforms Tjostheim...

Two terms of a second-order approximation to the bias of the multivariate OLS estimate are derived using the same technique as in Nicholls and Pope (1988). The resulting second-order bias approximation is then tested against first-order alternatives on two bivariate Monte Carlo sijmulated VAR...

We use Bayesian techniques to select factors in a general multifactor asset pricing model. From a given set of 15 factors we evaluate all possible pricing models by the extent to which they describe the data as given by the posterior model probabilities. Interest rates, premiums, returns on...

The working of the”asset currency” provided by the Swedish note banking system in 1878–1901 is described. Natural and institutional conditions caused the demand for currency to peak in March and September, with troughs in July and January. The paper investigates how the Enskilda banks...

The paper proposes a theory of the anti-competitive effects of debt finance based on the interaction between capital structure, managerial incentives, and firms' ability to sustain collusive agreements. It shows that shareholders' commitments that reduce conflicts with debtholders - such as...

I develop a model of public sector contracting based on the multitask framework by Holmström and Milgrom (1991). In this model, an agent can put effort into increasing the quality of a service or reducing costs. Being residual claimants, private owners have stronger incentives to cut costs than...

This paper provides evidence on the use of stochastic discount factors in the evaluation of portfolio performance. First we discuss evaluation in this setting, and relates it to traditional mean-variance analysis. We then use Monte Carlo experiments to examine the small sample properties of...

This paper proposes a simple explanation for the frequent appearance of a price puzzle in VARs designed for monetary policy analysis. It suggests that the best method of solving the puzzle implies a close connection between theory and empirics rather than the introduction of a commodity price....

The asymmetric power ARCH model is a recent addition to time series models that may be used for predicting volatility. Its performance is compared with that of standard models of conditional heteroskedasticity such as GARCH. This has previously been done empirically. In this paper the same issue...

This paper proposes an approach to specify and estimate multiple input, multiple output production frontiers and technical efficiency using a stochastic ray frontier production model A possible model extension is to incorporate a technical efficiency effects model to allow estimation of the...