An event-based perspective on the development of commitment

This paper proposes a new perspective on the development of commitment. We propose that organizational events are evaluated relative to a person's values to determine whether the person fits or misfits the organization. The fit information is then organized into commitment elements, which reflect the extent to which workplace events fit (relative to misfit) a particular value across events over time. We propose that elements are organized around values, not events, such that values are the main effect and events are the moderators of said effect on elements. Elements are, in turn, formative indicators of the latent commitment construct. They are the proximal causes of commitment. Multiple elements contribute to a single commitment and they are weighted via the value hierarchy. Our perspective contributes to the literature by: (a) being developmental; (b) focusing on events; and, (c) having implications for both within-person and between-person questions about commitment development.     

MNC Strategic Responses to Ethical Pressure: An Institutional Logic Perspective

In this study, we aim to investigate how multinational corporations (MNCs) balance ethical pressures from both the home and host countries. Drawing on theories from institutional theory, international business, and business ethics, we build a theoretical framework to explain the ethical behavior of MNCs. We apply the institutional logic concept to examine how MNCs with established logics and principles that have grown in the home country respond to local ethical expectations in the host country. We differentiate the core values from the peripheral components of a MNC’s institutional logic and propose that a MNC will pursue distinctive ethical strategies under different scenarios and choose the “right” configuration of core values and peripheral components that align with institutional environment in host countries.     

A comparison of treatment effects estimators using a structural model of AMI treatment choices and severity of illness information from hospital charts

We compare the performance of various matching estimators using a novel approach that is feasible in the absence of experimental data. We estimate a structural model of hospital choices and catheterization for Medicare heart attack victims using hospital chart data on patient heterogeneity. With the estimated structural parameters, we simulate data for which the treatment effect is known. We find that as measures of individual heterogeneity are added to the controls, matching estimators perform well. However, the estimators do a poor job recovering the true treatment effect when measures of individual heterogeneity are unavailable. Copyright © 2010 John Wiley & Sons, Ltd.     

全球经济形势黯淡

【美国《华尔街日报》8月15日】面对美国经济疲软的压力，数月来一直表现得很有弹性的全球经济终于开始明显放缓了。     

Firms’ reactions to public information on business practices: The case of search advertising

Quantitative Marketing and Economics - We use five years of bidding data to examine the reaction of advertisers to widely disseminated press on the lack of effectiveness of brand search advertising...     

A modeling framework for enhancing aid effectiveness

ABSTRACT

The development literature lacks consensus about the link between aid effectiveness and governance improvement. A basic rational actor model is introduced to clarify how donors can influence recipient behaviors and more broadly how foreign aid can support or impede governance quality improvement. Adopting the underutilized perspective of donor behavior, this study identifies mechanisms through which aid hinders governance improvement and offers substantive recommendations about how donors can enhance aid effectiveness, including strategies for donors to raise the level of effort recipients devote to project success.     

The Innovation Performance of Irish and Foreign‐owned Firms: The Roles of R&D and Networking

This paper contributes to the growing evidence that Irish and foreign‐owned firms based in Ireland conduct their innovation activities differently from each other. It tests the Cohen and Levinthal hypothesis, separately for Irish and foreign‐owned firms, that undertaking R&D and collaborating with external networks together enhance the probability of product and process innovation. To control for potential endogeneity of the external networking variables, a two‐step procedure is used with predicted probabilities used as instruments in the estimated production functions. Based on data from the Irish Community Innovation Survey 2006 to 2008, the results suggest that Irish‐owned firms which engage in external networks with public knowledge sources, while simultaneously undertaking R&D, are more likely to innovate than firms which perform these two activities individually. Irish‐owned firms which engage in backward networking for product and forward networking for process innovation while also undertaking R&D are less likely to be innovative, perhaps suggesting a substitution effect. These results for Irish‐owned firms provide some support for Cohen and Levinthal's hypothesis. However, foreign‐owned firms seem to behave differently, being largely self‐contained and relying exclusively on intramural R&D for innovation as the external networking variables, both individually and when interacted with R&D, have no effect on innovation likelihood.     

A multinomial logit approach to exchange rate policy classification with an application to growth

We model a country's de jure exchange rate policy as the choice from a multinomial logit response conditioned on the volatility of its bilateral exchange rate, the volatility of its international reserves, and the volatility of its effective exchange rate. The category with the highest predictive probability implied by the logit regressions serves as our de facto exchange rate policy. An empirical investigation into the relationship between the de facto classifications and GDP growth finds that growth is higher under stable currency-value policies. For non-industrialized countries, a more nuanced characterization of exchange rate policy finds that those who exhibit ‘fear of floating’ experience significantly higher growth.