The Costs of Exhibiting Organizational Citizenship Behavior

Organizational citizenship behavior (OCB) has been associated with positive organizational outcomes and with higher managerial ratings of employee performance. However, concerns have been raised about the possible personal costs of performing such activities. This paper examines the relationship between OCB and emotional exhaustion and work‐family conflict and explores the moderating role of job performance in shaping those relationships. In a time‐lagged field study of customer‐contact center employees the research found that one particular dimension of OCB—conscientiousness—was associated with higher emotional exhaustion and with work‐family conflict. The study also revealed that conscientious employees who performed their in‐role job responsibilities at a high level experienced greater emotional exhaustion and work‐family conflict than conscientious employees who performed their in‐role job responsibilities at a low level. Our findings suggest that organizational pressures to increase the level at which both discretionary and formal role obligations are performed can carry negative consequences for employees. © 2016 Wiley Periodicals, Inc.     

Should We Worry about Government Debt? Thoughts on Australia's COVID-19 Response

No. While the COVID-19 crisis has required a dramatic increase in debt-financed government spending, in the current conditions the benefits from this debt are unusually high and the costs unusually low. While conditions can change, the Australian Government can right now hedge against these risks by lengthening the maturity structure of government debt, even at the cost of a modest increase in its current servicing costs.     

An empirical investigation of going private decisions of U.S. firms

According to many managers, the Sarbanes-Oxley Act of 2002 caused the costs of being public to increase. Subsequently, following the Act, many firms went private rather than incur the costs. We investigate the differences in the financial characteristics of firms that went private between 1998 and 2003 and a control sample of firms which went public and did not go private Our results indicate that there are differences in the two groups, as well as differences in firms that went private prior to and following Sarbanes-Oxley. Taken together, our results are indicative of going private to avoid the higher costs of being public post Sarbanes-Oxley.     

WAGES AND EMPLOYMENT IN THE U.S. APPAREL INDUSTRY

This article uses individual-level data from the U.S. Census, Public Use Microdata Sample (PUMS), to examine wages and employment in the U.S. apparel industry. Total employment in this sector has been falling since 1970, and its overall average wage is the lowest of 25 industry aggregates. But disaggregation by gender, education, and nativity reveals that groups of highly educated male native workers earn higher average wages in apparel than in other industries. Moreover, after adjusting for observed individual differences in human capital (in addition to the three characteristics used to form worker subsets), highly educated male natives earn positive wage premiums in this sector. In contrast, most categories of immigrants and female natives earn relatively low average wages and experience negative wage premiums in apparel. This variation in the adjusted industry wage premiums across worker groups may be related to apparel's relative exposure to imports and immigrant workers.     

Inaccurate forecasts of the logistic growth model for Nobel Prizes

Modis [Technol. Forecast. Soc. Change 34 (1988) 95] reports that a logistic growth (LG) model of the number of U.S. Nobel Prize recipients provides an excellent fit for the period 1901-1987. This model forecasts that approximately 235 Americans will receive a Nobel Prize by year-end 2002 and that a total of 283 Americans will eventually receive a Nobel Prize. We use recent data (1901-2002) on prize recipients to provide a revised test of this model. The results of extensive holdout forecasting and nonlinear least-squares fits to the data provide convincing evidence that the LG model systematically underpredicts the number of Nobel Prizes awarded to Americans. For instance, the cumulative number of American recipients as of year-end 2002 is 270, significantly larger than the LG forecast of 235. We argue that other approaches to forecasting the number of future Nobel awards should be considered.     

A latent class model for obesity

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 applied to modelling observed obesity outcomes, based upon an underlying ordered probit equation.     

Averaging estimators for autoregressions with a near unit root

This paper uses local-to-unity theory to evaluate the asymptotic mean-squared error (AMSE) and forecast expected squared error from least-squares estimation of an autoregressive model with a root close to unity. We investigate unconstrained estimation, estimation imposing the unit root constraint, pre-test estimation, model selection estimation, and model average estimation. We find that the asymptotic risk depends only on the local-to-unity parameter, facilitating simple graphical comparisons. Our results strongly caution against pre-testing. Strong evidence supports averaging based on Mallows weights. In particular, our Mallows averaging method has uniformly and substantially smaller risk than the conventional unconstrained estimator, and this holds for autoregressive roots far from unity. Our averaging estimator is a new approach to forecast combination.     

Can business‐oriented managers be effective leaders for corporate sustainability? A study of integrative and instrumental logics

This qualitative study investigates whether the views of managers need to be congruent with the corporate sustainability (CS) logics—either integrative or instrumental—of their employing organization. We assessed the CS performance of 25 organizations within the Australian forestry and wood products industry and analyzed the CS orientations of 32 senior managers within these companies to explore whether their individual CS views were consistent with organizational CS logics. The findings indicate that, in general, better performing organizations are led by managers that hold the integrative view, whereas poorer performing organizations are more likely to have managers with an instrumental view of CS. Nonetheless, there were noteworthy exceptions to this conclusion. The findings indicate that, under certain industry conditions, managers who hold an instrumental view may be able to generate ecological and social organizational outcomes that are at least equal to those produced by integrative managers.     

Turnover and Knowledge Loss: An Examination of the Differential Impact of Production Manager and Worker Turnover in Service and Manufacturing Firms

This research examines the comparative effects of production manager and worker turnover in service and manufacturing settings. We suggest that, due to the centrality of human action in services and the ability of manufacturers to insulate the technical core, service and manufacturing companies are differentially dependent on and impacted by the loss of production manager and worker knowledge. The results from a survey of 150 service and manufacturing firms provide partial support for this notion and show that turnover impacts these organizations differently. More specifically, we find that: (1) the negative impact of production worker turnover on firm performance is greater in service settings than in manufacturing settings; and (2) the negative impact of production worker turnover on firm performance is greater than the impact of production manager turnover in service firms. In addition, our findings show that organizational capital moderates the turnover–performance relationship for production workers in service firms.     

Do We Still Need Cities? Evidence on Rates of Innovation from Count Data Models of Metropolitan Statistical Area Patents

Evidence of the importance of urban agglomeration and the offsetting effects of congestion are provided in a number of studies of productivity and wages. Little attention has been paid to this evidence in the economic growth literature, where the recent focus is on technological change. We extend the idea of agglomeration and congestion effects to the area of innovation by empirically looking for a nonlinear link between population density and patent activity. A panel data set consisting of observations on 302 USA metropolitan statistical areas (MSAs) over a 10-year period from 1990 to 1999 is utilized. Following the patent and R&D literature, models that account for the discreet nature of the dependent variable are employed. Strong evidence is found that agglomeration and congestion are important in explaining the vast differences in patent rates across US cities. The most important reason cities continue to exist, given the dramatic drop in transportation costs for physical goods over the last century, is probably related to the forces of agglomeration as they apply to knowledge spillovers. Therefore, the empirical investigation proposed here is an important part of understanding the viability of urban areas in the future.