The roughly 9.5 percent of all U.S. families that are without some type of transaction account (unbanked) are disproportionately represented by minorities. The unbanked often must rely on alternative ways to carry out basic financial transactions such as cashing payroll checks and paying bills....

With U.S. multinational enterprises playing increasingly important roles in the global economy, it is important to understand the efficiency of their capital budgeting decisions. We examine an unbalanced panel of 332 U.S. firms from 1992-2000. Using the deviation of a firm's estimated marginal...

This paper examines the effectiveness of multinational enterprises capital budgeting decisions as compared to the decisions of purely domestic enterprises. This is an important question because of multinationals role in allocating capital globally. Answering this question may also shed light on...

Latent class, or finite mixture, modelling has proved a very popular, and relatively easy, way of introducing much-needed heterogeneity into empirical models right across the social sciences. The technique involves (probabilistically) splitting the population into a finite number of (relatively...

Latent class, or finite mixture, modelling has proved a very popular, and relatively easy, way of introducing much-needed heterogeneity into empirical models right across the social sciences. The technique involves (probabilistically) splitting the population into a finite number of (relatively...

We introduce the (panel) zero-inflated interval regression (ZIIR) model, which is ideally suited when data are in the form of groups, which is commonly the case in survey data, and there is an ‘excess’ of zero observations. We apply our new modelling framework to the analysis of visits to...

We explore the determinants of financial satisfaction using a modelling framework which allows the drivers of financial satisfaction to vary across life stages. Given that financial satisfaction is measured as an ordered variable, our modelling approach is based on a latent class ordered probit...

We contribute to the small, but important, literature exploring the incidence and implications of mis-reporting in survey data. Specifically, when modelling ?social bads such as illegal drug consumption, researchers are often faced with exceptionally low reported participation rates. We propose...

We extend the discrete data latent class literature by explicitly defining a latent variable for class membership as a function of both observables and unobservables, thereby allowing the equations defining the class membership and observed outcomes to be correlated. The procedure is then...