This paper demonstrates the extensive scope of an alternative to standardinstrumental variables methods, namely covariate-based methods, for identifying and es-timating effects of interest in general structural systems. As we show, commonly usedeconometric methods, speci…cally parametric,...

In this paper we develop a structural equation model with latent variables in an ordinal setting which allows us to test broker-dealer predictive ability of financial market movements. We use a multivariate logit model in a latent factor framework, develop a tractable estimator based on a...

As mixture regression models increasingly receive attention from both theory and practice, the question of selecting the correct number of segments gains urgency. A misspecification can lead to an under- or oversegmentation, thus resulting in flawed management decisions on customer targeting or...

This paper examines the aggregate demand for inputs, including housework and otherservices, used by the US household sector to produce home goods that directly provide them utilityover the post-World War II period. By assuming that households produce a commodity called homegoods and that...

We use panel data from the US Health and Retirement Study 1992-2002 to estimate theeffect of self-assessed health limitations on active labor market participation of men aroundretirement age. Self-assessments of health and functioning typically introduce anendogeneity bias when studying the...

This paper analyses the link between sustainability-related innovation and sustainability performance and the role that family firms play in this. This theme is particular relevantfrom a European point of view given the large number of firms that are family-owned. Governments often support...

This paper considers the implications of the permanent/transitory decomposition of shocksfor identification of structural models in the general case where the model might contain morethan one permanent structural shock. It provides a simple and intuitive generalization of theinfluential work of...

This paper applies production theory to define a new set of inputs for U.S. households over the post-World War II period and uses newly constructed data on some of these inputs to fit a completehousehold-demand system, including inputs of women’s and men’s housework, and seven other...

The long memory characteristic of financial market volatility is well documentedand has important implications for volatility forecasting and optionpricing. When fitted to the same data, different volatility models calculate theunconditional variance differently and could have very different...

In this study new realized volatility measures based on Multi-Scale regression and Discrete Sine Transform (DST) approaches are presented. We show that Multi-Scales estimators similar to that recently proposed by Zhang (2004) can be constructed within a simple regression based approach by...