We provide a uniform law for the weak convergence of additive functionals of partial sum processes to the local times of linear fractional stable motions, in a setting sufficiently general for statistical applications. Our results are fundamental to the analysis of the global properties of...

I examine the econometric and behavioral implications of including human capital in the life-cycle labor supply model. With human capital, the wage no longer equals the opportunity cost of time – which is, instead, the wage plus returns to work experience. This has a number of important...

In recent years it has become common to use stated preference (SP) discrete choice experiments (DCEs) to study and/or predict consumer demand. SP is particularly useful when revealed preference (RP) data is unobtainable or uninformative (e.g., to predict demand for a new product with an...

This paper introduces a new class of multivariate volatility models which is easy to estimate using covariance targeting, even with rich dynamics. We call them rotated ARCH (RARCH) models. The basic structure is to rotate the returns and then to ?t them using a BEKK-type parameterization of the...

I examine the effect of labor income taxation in life-cycle models where work experience builds human capital. In this case, the wage no longer equals the opportunity cost of time – which is, instead, the wage plus returns to work experience. This has a number of interesting consequences....

This paper introduces a new class of multivariate volatility models that utilizes high-frequency data. We discuss the models dynamics and highlight their di¤erences from multivariate GARCH models. We also discuss their covariance targeting specification and provide closed-form formulas for...

Learning models extend the traditional discrete choice framework by postulating that consumers have incomplete information about product attributes, and that they learn about these attributes over time. In this survey we describe the literature on learning models that has developed over the past...

Models of consumer learning and inventory behavior have both proven to be valuable for explaining consumer choice dynamics. In their pure form these models assume consumers solve complex dynamic programming (DP) problems to determine optimal choices. For this reason, these models are best viewed...

The log normal reserving model is considered. The contribution of the paper is to derive explicit expressions for the maximum likelihood estimators. These are expressed in terms of development factors which are geometric averages. The distribution of the estimators is derived. It is shown that...

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