We consider an artificial population of forward looking heterogeneous agents making decisions between schooling, employment, employment with training and household production, according to a behavioral model calibrated to a large set of stylized facts. Some of these agents are subject to policy...

We use a unique dataset of bond downgrades from a niche rating company that has been found to be reacting faster to publicly available information than its competitors. Using regime-switching models we propose risk measures to quantify stock return disturbances (distress costs) associated with...

This paper analyzes the incentive properties of the standard and burden of proof for a finding of negligence, when evidence about injurers' behavior is imperfect and rests with the parties. We show that the `preponderance of evidence' standard used in common law, together with ordinary exclusion...

We argue that the common-law standard of proof, given the rulesof evidence, does not minimize expected error as usually argued inthe legal literature, but may well be e±cient from the standpointof providing maximal incentives for socially desirable behavior.By contrast, civil law's higher but...

Intellectual property rights are legal constraints that limit entry in industries where incumbentsare innovators. The set of legal constraints is the same for all industries, withoutconsidering that the externalities created by entry are not necessarily negative for the incumbentor that the...

Any serious empirical study of factor substitutability has to allow the data to display complementarity as well as substitutability. The standard approach reflecting this idea is a translog specification – this is also the approach used by numerous studies analyzing the relative capital-skill...

The rapidly growing literature on the relationship between energy consumption and economicgrowth has not univocally identi…ed the ‘real’causal relationship yet. We argue that bivariate mod-els, which analyze the causality at the level of the total economy, are not appropriate — especiallyin...

In this papaer, we put DSGE forecasts in competition with factor forecasts. We focus on these two models since they represent nicely the two opposing forecasting philosophies. The DSGE model on the one hand has a strong theoretical economic background; the factor model on the other hand is mainly...

This paper focuses on the robust Effcient Method of Moments (EMM) estimation of a general parametric stationary process and proposes a broad framework for constructing robust EMM statistics in this context. This extends the application field of robust statistics to very general time series...

Inspired by findings of lowdimensional nonlinearities and the Theorem of Takens (1983) forecasting models of financial time series are often built upon nonparametric, i.e. universal nonlinear, univariate relationships. Empirical investigations, however, are seriously contaminated by the problem...