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This study aims to explore patterns in e‐tail spending across different demographic groups and to predict which households are the most frequent shoppers and highest spenders. Further, it aims to investigate which households are least likely to purchase from unfamiliar online stores.

Using a random sample of Florida households, the study is the first to use probit and ordered probit models to study Internet purchasing behavior.

Younger, college educated, higher income households living in suburban, rural and small towns spend and shop the most online. Caucasians purchase online more often than African Americans and Hispanics but spend about the same amount. The study also finds that male, Hispanic, college educated and younger consumers are more willing to purchase from unfamiliar online stores.

This study provides new evidence on factors affecting household online spending and buying decisions. Previous studies have not used an ordered probit to model different levels of spending and this new specification provides information about which demographic groups are the most (or the least) frequent buyers as well as which demographic groups are the highest (or the lowest) e‐tail spenders. This study also investigates which demographic groups are most likely to shop only at stores with whom they are already familiar.

Strategic cost structure choices determine how firms divide operating costs between fixed and variable components, and therefore have important implications for financial performance. The purpose of this paper is to examine the effect of operating leverage on equity Betas when managers have discretion over firms' cost structures.

Using panel data for publicly listed trucking firms over years 1994‐2006, market model Betas are regressed on controls and alternatively measured proxies for operating leverage: degree of operating leverage, assets in place and percentage of company employed drivers.

Results of this study generally show positively significant coefficients on all three operating leverage variables.

Operating characteristics of many industries require that firms make substantial investments in long‐lived assets that result in high fixed costs (e.g. depreciation), and for these firms cost structure is exogenously or technologically constrained leaving managers with little discretion. In contrast to these types of firms, the authors examine the effect of operating leverage (OL) on Betas when managers have discretion over firms' cost structures. Trucking firms are a particularly interesting industry group for analyzing the impact of operating OL choices on Beta because distinct strategic cost structure choices are available to the management of trucking firms that result in various degrees of OL throughout the industry.