The stylized facts about the behavior of manufacturers' inventories and backorders over the business cycle: 1959–1980

Recent theoretical work has highlighted the role of inventories in propagating business cycles. This paper attempts to provide an empirical foundation for current and future research on the role inventories play in business cycles. The evidence presented here indicates that inventories and backorders are major variables in predicting output fluctuations. Further, the evidence is that disaggregating inventories by stage-of-fabrication is important in predicting output. In concert with previous findings, our results suggest that disaggregated inventories ought to be a component of models of the business cycle.     

Asymmetries in price and quantity adjustments by the competitive firm

Focusing on the crucial role of inventory carry-overs in the production and sales decision, we describe the profit maximizing behavior of a dynamic competitive firm facing random prices. Each firm's behavior is incorporated into a stochastic equilibrium model of the competitive industry with uncertain demand. The industry model exhibits asymmetric cyclical fluctuations of the “Keynesian” sort: when demand is weak, output contracts while price holds at a fixed floor; when demand is strong, price increases as output is constrained by a ceiling. Even in a pure world of constant returns, without increasing costs, the inability to instantaneously coordinate production and sales along with the existence of inventories is sufficient to yield a “backward L” shaped supply curve for the short run.     

The Norm Theory of Capital Structure: International Evidence*

Akerlof proposes that the norms of decision makers can bridge the gap between New Classical economic theories and conflicting empirical evidence. We apply his framework to cross‐country capital structure decision making and propose a norm theory of capital structure. Consistent with its predictions, we find that two principal components that represent the manager–subordinate relationship and the manager–environment relationship in a national culture are significantly and negatively related to the median leverage ratio at the country level. This study is among the first to provide a direct link between national culture and capital structure as made operational through managerial norms.     

Factors influencing successful buyer–seller relationships

Previous research has identified factors that influence buyer–seller relationships. Despite the importance of understanding how these factors influence buyer–seller relationships, the relative importance of these factors are has not been empirically determined. The purpose of this research is to identify what factors are of the greatest overall importance to buyer–seller relationships and to identify what factors are of the greatest importance in each stage of buyer–seller relationships. The results of this research have important implications for managers of both buying and selling firms. By understanding the factors that are most important at each stage, managers can focus their efforts on these elements in order to foster successful buyer–seller relationships.     

The fashion‐conscious behaviours of mature female consumers

Under‐appreciation of mature consumers as a numerous and comparatively wealthy market segment has resulted in not only lost revenues for business, but also lost consumption and service opportunities for the elderly. In response to expressed needs for more research into actual and desired consumption by older consumers, this study examined the apparel and shopping preferences of mature women in America. Independent living residents were surveyed concerning fashion consciousness, fashion information sources and shopping behaviours. Young and mature consumers’ reactions to female apparel ensembles were compared. Mature subjects purchased apparel for pleasure or need, but less for conformity. Decisions were influenced more by fit and comfort than by fashion, despite suggestions that dressing stylishly was important. New fashions were encountered via catalogue illustrations, social gatherings and window displays. Subjects high in fashion consciousness had greater financial and social involvement with fashion, greater chronological‐to‐cognitive age differences and larger clothing budgets. Young and mature consumers’ responses to apparel illustrations differed significantly. As the mature market expands, attention to age‐divergent definitions of fashion (such as those based upon admiration of comfort) will determine the success of apparel businesses. Assessment of cognitive age will facilitate identification of those mature consumers most predisposed toward fashion consumption.     

HOW EFFECTIVE ARE EXPERT TV HOSTS AT SAVING FAILING BUSINESSES?

The profit and loss system is an integral part of a dynamic market economy. Losses eliminate businesses that are inefficiently managed or whose products no longer provide sufficient value. Almost a dozen popular television shows feature entertaining expert hosts claiming to “save” failing businesses with injections of physical and human capital. We undertake the first comprehensive analysis of these shows, calculating the failure rates of the businesses and analyzing the incentive structure facing the shows, networks, hosts, and participants. In general, we find that these shows are largely unsuccessful in saving failing businesses. (JEL L26, L82)     

Matching and semi-parametric IV estimation, a distance-based measure of migration, and the wages of young men

Our paper estimates the effect of US internal migration on wage growth for young men between their first and second job. Our analysis of migration extends previous research by: (i) exploiting the distance-based measures of migration in the National Longitudinal Surveys of Youth 1979 (NLSY79); (ii) allowing the effect of migration to differ by schooling level and (iii) using propensity score matching to estimate the average treatment effect on the treated (ATET) for movers and (iv) using local average treatment effect (LATE) estimators with covariates to estimate the average treatment effect (ATE) and ATET for compliers.We believe the Conditional Independence Assumption (CIA) is reasonable for our matching estimators since the NLSY79 provides a relatively rich array of variables on which to match. Our matching methods are based on local linear, local cubic, and local linear ridge regressions. Local linear and local ridge regression matching produce relatively similar point estimates and standard errors, while local cubic regression matching badly over-fits the data and provides very noisy estimates.We use the bootstrap to calculate standard errors. Since the validity of the bootstrap has not been investigated for the matching estimators we use, and has been shown to be invalid for nearest neighbor matching estimators, we conduct a Monte Carlo study on the appropriateness of using the bootstrap to calculate standard errors for local linear regression matching. The data generating processes in our Monte Carlo study are relatively rich and calibrated to match our empirical models or to test the sensitivity of our results to the choice of parameter values. The estimated standard errors from the bootstrap are very close to those from the Monte Carlo experiments, which lends support to our using the bootstrap to calculate standard errors in our setting.From the matching estimators we find a significant positive effect of migration on the wage growth of college graduates, and a marginally significant negative effect for high school dropouts. We do not find any significant effects for other educational groups or for the overall sample. Our results are generally robust to changes in the model specification and changes in our distance-based measure of migration. We find that better data matters; if we use a measure of migration based on moving across county lines, we overstate the number of moves, while if we use a measure based on moving across state lines, we understate the number of moves. Further, using either the county or state measures leads to much less precise estimates.We also consider semi-parametric LATE estimators with covariates (Frölich 2007), using two sets of instrumental variables. We precisely estimate the proportion of compliers in our data, but because we have a small number of compliers, we cannot obtain precise LATE estimates.     

Translating Corporate Social Responsibility into Action: A Social Learning Perspective

Journal of Business Ethics - Interest in the microfoundations of corporate social responsibility (CSR) has grown over the past decade. In this study, we draw on social learning theory to examine...