A quantile regression approach for estimating panel data models using instrumental variables

We introduce a quantile regression approach to panel data models with endogenous variables and individual effects correlated with the independent variables. We find newly developed quantile regression methods can be easily adapted to estimate this class of models efficiently.     

Different Paths to Collaboration Between Businesses and Civil Society and the Role of Third Parties

In this article, we suggest that one of the unexplored paths toward collaboration between firms and civil society organizations starts with confrontation or potential conflict, and that the transition toward collaboration can be further understood if one focuses on triadic relationships rather than dyadic ones. We analyze the presence of third parties and their different roles to explain how collaboration is facilitated. The article aims at bringing together the bodies of research on business–civil society confrontation and on business–civil society collaboration. It offers a comparative analysis of four case studies, and proposes a typology of third parties composed of facilitating allies, participating allies, mediators, and solution seekers. We conclude with some implications for further research as well as for practice.     

Shrinking the quango state: five challenges in reforming quangos

Some problems of governance regularly resurface, and the use and role of ‘quangos’— public bodies operating at arm's-length to ministers—is a case in point. The administrative history of the British state is littered with official reviews and political debates about quangos. Historically, governments, whatever their reforming zeal, have found it difficult to make substantial changes. Now the UK government has initiated a rapid and large-scale set of reforms. This article analyses these changes and highlights five challenges for governments wishing to reform arm's-length bodies: mapping, assessing, reconfiguring, saving, and accounting.     

The Differential Value Relevance of S&P's Core Earnings Versus GAAP Earnings: The Role of Stock Option Expense

In 2002, Standard & Poor's (S&P) introduced Core Earnings as a proprietary, uniform earnings metric, with the goal of improving financial reporting. The distinguishing feature of Core Earnings is its consistent treatment of seven adjustments to GAAP earnings for which there is no consensus adjustment by managers and analysts. We use stock price and return data to assess whether investors perceive Core Earnings to be more value relevant than GAAP earnings. The implementation of FASB 123R changed the calculation of GAAP and Core Earnings. This change allows us to assess the role of stock option expense in the valuation of earnings numbers by partitioning the sample into pre‐ and post‐FASB 123R periods and creating consistent measures of GAAP and Core Earnings. Our price results indicate that Core Earnings is more value relevant than GAAP earnings in the pre‐period after controlling for stock option expense, and in the post‐FASB 123R periods. The price results provide empirical evidence consistent with S&P's expectation that a uniformly calculated earnings measure is a more consistent and useful indicator of current performance and future earnings.     

Click Here for a Data Scientist: Big Data,Predictive Analytics,and Theory Development in the Era of a Maker Movement Supply Chain

Predictive analytics is impacting many diverse areas, ranging from baseball and epidemiology to forecasting and customer relationship management. Manufacturers, retailers, software companies, and consultants are creatively discovering new applications of big data using predictive analytics in supply chain management and logistics. In practice, predictive analytics is generally atheoretical; however, we develop a 2 × 2 model to explain the role of predictive analytics in the theory development process. This 2 × 2 model shows that in our discipline we have traditionally taken one path to theory development, but that predictive analytics can be a salient component of a comprehensive theory development process. The model points to a number of research questions that need to be addressed by our research community. These questions are not just highly relevant to the academic community but also in urgent need of answers to help practitioners execute the right strategies with greater precision and efficiency. We also discuss how one disruptive trend, the maker movement, changes the nature of who the producers are in the supply chain, making big data even more valuable. As we engage in higher levels of dialogue we will be able to make meaningful progress addressing these vital research topics.