The severe recession of the past year might be expected to have put the financial position of British households under considerable strain. Unemployment has risen significantly, credit conditions have tightened and many homeowners have seen their housing equity eroded. But many borrowers have...

In an effort to optimize visualization and editing of OWL ontologies we have developed GrOWL: a browser and visual editor for OWL that accurately visualizes the underlying DL semantics of OWL ontologies while avoiding the difficulties of the verbose OWL syntax. In this paper, we discuss GrOWL...

The severe recession of the past year might be expected to have put the financial position of British households under considerable strain. Unemployment has risen significantly, credit conditions have tightened and many homeowners have seen their housing equity eroded. But many borrowers have...

Household decisions on whether to save or spend play a key role in the outlook for aggregate demand. A range of factors could help to explain the fall in the household saving ratio over the period 1995 to 2007. Declines in long-term real interest rates, looser credit conditions, rising asset...

-gologit2- is a user-written program that estimates generalized logistic regression models for ordinal dependent variables. The actual values taken on by the dependent variable are irrelevant except that larger values are assumed to correspond to "higher" outcomes. A major strength of -gologit2-...

The assumptions of the ordered logit/probit models estimated by ologit and oprobit are often violated. When an ordinal regression model incorrectly assumes that error variances are the same for all cases, the standard errors are wrong and (unlike OLS regression) the parameter estimates are...

When a binary or ordinal regression model incorrectly assumes that error variances are the same for all cases, the standard errors are wrong and (unlike OLS regression) the parameter estimates are biased. Heterogeneous choice/ location-scale models explicitly specify the determinants of...

Ordered logit/probit models are among the most popular ordinal regression techniques. However, these models often have serious problems. The proportional odds/parallel lines assumptions made by these methods are often violated. Further, because of the way these models are identified, they have...

This article describes the gologit2 program for generalized ordered logit models. gologit2 is inspired by Vincent Fu’s gologit routine (Stata Technical Bulletin Reprints 8: 160–164) and is backward compatible with it but offers several additional powerful options. A major strength of...