We identify a natural counterpart of the standard GARP for demand data in which goods are all indivisible. We show that the new axiom (DARP, for “discrete axiom of revealed preference”) is necessary and sufficient for the rationalization of the data by a well-behaved utility function. Our...

Production capital and technology, fundamental to understanding output and productivity growth, are unobserved except at disaggregated levels and must be estimated prior to being used in empirical analysis. We develop and apply a new estimation method, based on advances in economics, statistics,...

This paper exploits a large dataset of replications of the Holt and Laury (2002) risk elicitation task to study a possible outcome reporting bias using gender differences in risk attitudes. There is a strong consensus view in the experimental literature according to which women are more prudent...

We develop a theory of innovation for entry and sale into oligopoly, and show that inventions of higher quality are more likely to be sold (or licensed) to an incumbent due to strategic product market effects on the sales price. Such preemptive acquisitions by incumbents are shown to stimulate...

Traditionally banks have used securitization for expanding credit and thus their profitability. It has been well documented that, at least before the 2008 crisis, many banks were keeping a high proportion of the securities that they created on their own balance-sheets. Those securities retained...

This paper models the strategic interaction between a rating agency, a bank and a bank regulator who lacks information about bank asset risk. The regulator can either (1) make bank capital requirements contingent on credit ratings; or (2) set rating-independent capital requirements. Truthful...

An inherent problem with comparing and ranking competing Value at Risk (VaR) and Expected shortfall (ES) models is that they measure only a single realization of the underlying data generation process. The question is whether there is any significant statistical difference in the performance of...

We introduce a new hybrid approach to joint estimation of Value at Risk (VaR) and Expected Shortfall (ES) for high quantiles of return distributions. We investigate the relative performance of VaR and ES models using daily returns for sixteen stock market indices (eight from developed and eight...

This paper proposes a novel regularisation method for the estimation of large covariance matrices, which makes use of insights from the multiple testing literature. The method tests the statistical significance of individual pair-wise correlations and sets to zero those elements that are not...

This paper develops a unified framework for fixed and random effects estimation of higher-order spatial autoregressive panel data models with spatial autoregressive disturbances and heteroskedasticity of unknown form in the idiosyncratic error component. We derive the moment conditions and...