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This paper develops three asymptotically equivalent tests for examining the validity of imposing linear inequality restrictions on the parameters of linear econometric models. First we consider the ...
This paper considers a general nonlinear econometric model framework that contains a large class of estimators defined as solutions to optimization problems. For this framework we derive several a...
According to the textbook Keynesian model, short-run demand for labor is sensitive to the demand for goods. In this view, sellers deviate from setting the marginal product of labor proportional to the...
We describe recent advances in the empirical analysis of insurance markets. This new research proposes ways to estimate individual demand for insurance and the relationship between prices and insur...
We examine the effect of regime change on privatization using the 2004 election surprise in India. The pro-reform BJP was unexpectedly defeated by a less reformist coalition. Stock prices of governmen...
This article uses variation in access to a targeted lending program to estimate whether firms are credit constrained. While both constrained and unconstrained firms may be willing to absorb all the di...
A well-recognized problem in the multitasking literature is that workers might substantially reduce their effort on tasks that produce unobservable outputs as they seek the salient rewards to observab...
This article discusses the disability insurance industry in order to provide context regarding the potential impact of genetic testing on disability insurance. It describes disability income insurance...
We develop a nonparametric regression-based goodness-of-fit test for multifactor continuous-time Markov models using the conditional characteristic function, which often has a convenient closed form o...
The Markov property is a fundamental property in time series analysis and is often assumed in economic and …nancial modelling. We develop a new test for the Markov property using the conditional chara...
We develop a nonparametric regression-based goodness-of-fit test for multifactor continuous-time Markov models using the conditional characteristic function, which often has a convenient closed form o...
We propose statistical tests to discriminate between the finite and infinite activity of jumps in a semimartingale discretely observed at high frequency. The two statistics allow for a symmetric treat...
We apply multiple testing procedures to the validation of estimated default probabilities in credit rating systems. The goal is to identify rating classes for which the probability of default is estim...
Financial institutions have massive computations to carry out overnight which are very demanding in terms of the consumed CPU. The challenge is to price many different products on a cluster-like arch...
We propose procedures for testing whether stock price processes are martingales based on limit order type betting strategies. We first show that the null hypothesis of martingale property of a stock p...

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