The size of adverse selection and moral hazard effects in health insurance markets has important policy implications.  For example, if adverse selection effects are small while moral hazard effects are large, conventional remedies for inefficiencies created by adverse selection (e.g., mandatory...

A multivariate extension of the standard labour suppy model is presented. In the multivariate time allocation model leisure is disaggregated into a number of non market activities including sports, volunteer work and home production. Using data from the 2000 UK Time Use Survey, a linear...

India's development experience over the past fifty years suggests that the increasing importance of the services sector deserves analysis.  The literature on structural change has emphasised changing patterns of demand as an explanation for the increasing importance of the services sector.  In...

Most econometric schemes to allow for heterogeneity in micro behaviour have two drawbacks: they do not fit the data and they rule out interesting economic models.  In this paper we consider the time homogeneous first order Markov (HFOM) model that allows for maximal heterogeneity.  That is,...

This paper develops a revealed preference methodology for exploring whether time inconsistencies in household choice are the product of nonstationarities at the individual level or the result of individual heterogeneity and renegotiation within the collective unit.  An empirical application to...

I discuss models which allow the local level model, which rationalised exponentially weighted moving averages, to have a time-varying signal/noise ratio.  I call this a martingale component model.  This makes the rate of discounting of data local.  I show how to handle such models...

We identify necessary and sufficient conditions under which a finite data set of price vectors and consumption bundles can be rationalized by a weakly separable utility function.  Our result could be understood as a generalization of Afriat's Theorem.

Estimating the covariance and correlation between assets using high frequency data is challenging due to market microstructure effects and Epps effects.  In this paper we extend Xiu's univariate QML approach to the multivariate case, carrying out inference as if the observations arise from an...

Consider a finite data set of price vectors and consumption bundles; under what conditions will there be a weakly separable utlity function that rationalizes the data?  This paper shows that rationalization in this sense is possible if and only if there exists a preference order on some finite...

This paper develops a test for monotonicity of nonparametric regression models under endogeneity, which in its generality is novel in the literature.  The test statistic, which is built upon a second order U-process, introduces 'correction terms' based on control functions that purge the...