Environmental Kuznets Curve: Conclusive Econometric Evidence for CO2

This paper begins with a statistical formulation of the Environmental Kuznets Curve (EKC) and discusses the major econometric problems raised in the literature in testing this hypothesis using panel data. A simple t‐test is then presented that avoids these econometric problems. The result from applying the t‐test confirms conclusively the EKC for CO₂ as formulated.     

What is the potential growth rate of the U.S. economy,and how might policy affect it?

The answer to the question “What will future potential growth be?” is as important as it is unknowable. This paper attempts to predict future U.S. potential output growth by combining what is unknown (future productivity growth, the performance of the labor market) with what is known (the evolution of the age structure of the population). It does so in two ways. First, this paper uses the historical experience of potential labor productivity growth, labor force participation, and weekly hours to simulate a range of outcomes for future potential growth—finding a 90% confidence interval that ranges from 0.7% annual growth to 3.0% annual growth, centered by construction around the Congressional Budget Office projection of 1.8% annual growth. Second, the paper examines a range of specific economic policies that the Trump Administration might pursue in terms of their impact on economic growth both in the short run and over the next decade—finding that an outer bound of these policies could be plus or minus 0.5 percentage point on the annual growth rate, but that these policies would most likely subtract a small amount from growth.     

Limit theorems for reflected Ornstein–Uhlenbeck processes

This paper studies one‐dimensional Ornstein–Uhlenbeck (OU) processes, with the distinguishing feature that they are reflected on a single boundary (put at level 0) or two boundaries (put at levels 0 and d > 0). In the literature, they are referred to as reflected OU (ROU) and doubly reflected OU (DROU), respectively. For both cases, we explicitly determine the decay rates of the (transient) probability to reach a given extreme level. The methodology relies on sample‐path large deviations, so that we also identify the associated most likely paths. For DROU, we also consider the ‘idleness process’ L_t and the ‘loss process’ U_t, which are the minimal non‐decreasing processes, which make the OU process remain ≥ 0 and ≤ d, respectively. We derive central limit theorems (CLTs) for U_t and L_t, using techniques from stochastic integration and the martingale CLT.     

Value-in-context in crowdfunding ecosystems: how context frames value co-creation

The aim of this paper is to analyse the phenomenon of crowdfunding and determine whether it can be considered a service ecosystem, where the context frames innovation through value co-creation. A qualitative, multiple case study approach is used to analyse three platforms and six initiatives in the Spanish arts sector. The findings reveal that crowdfunding can be considered an ecosystem where value-in-context frames seven types of value co-creation, offering a contribution both to ecosystem theory and to the field of co-creation.     

Chief Financial Officers as Inside Directors

Considerable prior research investigates whether the extent of insider presence on corporate boards is detrimental. However, the majority of past research treats all inside directors as a homogenous group. This study considers that issue in the context of chief financial officers (CFO) serving on their own company's board. Our research is important because individuals in different executive roles bring different skills and knowledge to board interactions, highlighting the potential for differential contributions. As prior research does not specifically distinguish CFOs from other board insiders, the potential benefits of knowledge sharing due to increased communication with other board members may have been masked. Specifically, the CFO is directly responsible for the quality of the financial reporting process and can therefore be associated with specific outcome measures. Our results show that the percentage of CFOs serving on their own boards is not large, likely due to the perspective (consistent with agency theory and reflected in independence guidelines) that company insiders on boards could promote their own best interest at the expense of shareholders. Contrary to this perception, we find that companies whose CFO has a seat on the board are associated with higher financial reporting quality (i.e., a lower likelihood of reporting a material weaknesses in internal controls or having a financial restatement, and better accruals quality). Yet, we also find potential drawbacks in that CFOs with a board seat tend to have higher excess compensation and lower likelihood of termination following poor performance, signaling greater entrenchment. While our results provide information to companies considering appointing the CFO to the board, both costs and benefits are demonstrated, and thus we conclude that each board should consider this decision based on its own circumstances and composition.     

Soft Strategic Information and IPO Underpricing

Using content analysis, we measure the impact of soft information, derived from words in initial public offering (IPO) registration documents, on IPO pricing efficiency. First, using 2,298 U.S. IPOs from 1996–2008, we find that an IPO document's strategic tone correlates positively with the stock's first-day return; more frequent usage of positive and/or less frequent usage of negative strategic words leads to more IPO underpricing. Second, we find that an IPO document's strategic tone is negatively correlated with the stock's long-run return. Together, these findings imply that investors initially misprice soft information in registration statements, which mispricing is eventually corrected. Additionally, we create new content-analysis libraries for strategic words and introduce a survey-based library creation method and word-weighting system.     

The Discriminating Beta: Prices and Capacity with Correlated Demands

Uniform customer‐class pricing can do much of the work of congestion‐based or time‐of‐day pricing in communication or wireless networks. A monopolist exploits differences in the stochastic characteristics of demands. If demands are correlated and the firm faces a capacity constraint, then it can set prices to reduce the variability of aggregate demand, thereby reducing the probability of excess demand and the associated service quality deterioration. Demands that covary negatively with aggregate demand are valuable to the firm in much the same way that securities that covary negatively with the market are valuable in a stock portfolio. Customer classes that exhibit low covariance with aggregate demand realize lower optimal prices. Optimal capacity is also affected by these covariances. As long as demands are not perfectly positively correlated, expected costs of joint production are less than expected costs of serving demands separately.