The labour share and the dynamics of output

We derive a new Keynesian IS curve that is augmented to capture the direct effects of the labour share on output. Our derivation shows that the direct effect of the labour share on output is ambiguous. Furthermore, theory suggests that the expected labour share negatively affects output. Empirically, we find that the labour share plays a significant role in driving output dynamics. However contrary to theoretical expectation, the expected labour share positively affects output in some cases, a finding we call the ‘labour share puzzle’. We also find that over time, there seems to be a general shift in aggregate demand dynamics towards being profit-led, i.e. rising labour share decreases output. We conclude that policymakers should not ignore the labour share in their decisions.     

Prototypicality advantages for pioneers over me-too brands: the role of evolving product designs

Prior empirical research suggests that consumers perceive pioneers as more prototypical (i.e., representative) of their product categories than me-too followers. This prototypicality advantage is believed to contribute to an enduring marketplace advantage for the pioneer. We extend research into pioneering prototypicality advantages by considering the ramifications of simultaneous product design (i.e., product attribute) evolutions. We hypothesize that the simultaneous evolution of product designs of both the pioneer and me-too will diminish the pioneer’s prototypicality advantage over the me-too, even though the me-too does not initiate the change. To test our hypotheses, we create an experimental environment consisting of four cells, each corresponding to a different marketplace scenario: a no-change condition; a simultaneous-evolution condition; a pioneer-updates-first condition; and a leapfrogging (i.e., me-too updates first) condition. The results suggest that simultaneous design evolutions can diminish the pioneer’s prototypicality advantage. As a result, me-too entry may be a more attractive strategy in the long-run than currently believed in product categories characterized by substantial design evolution.

Predicting credit card fraud with Sarbanes‐Oxley assessments and Fama‐French risk factors

This research developed and tested machine learning models to predict significant credit card fraud in corporate systems using Sarbanes‐Oxley (SOX) reports, news reports of breaches and Fama‐French risk factors (FF). Exploratory analysis found that SOX information predicted several types of security breaches, with the strongest performance in predicting credit card fraud. A systematic tuning of hyperparamters for a suite of machine learning models, starting with a random forest, an extremely‐randomized forest, a random grid of gradient boosting machines (GBMs), a random grid of deep neural nets, a fixed grid of general linear models where assembled into two trained stacked ensemble models optimized for F1 performance; an ensemble that contained all the models, and an ensemble containing just the best performing model from each algorithm class. Tuned GBMs performed best under all conditions. Without FF, models yielded an AUC of 99.3% and closeness of the training and validation matrices confirm that the model is robust. The most important predictors were firm specific, as would be expected, since control weaknesses vary at the firm level. Audit firm fees were the most important non‐firm‐specific predictors. Adding FF to the model rendered perfect prediction (100%) in the trained confusion matrix and AUC of 99.8%. The most important predictors of credit card fraud were the FF coefficient for the High book‐to‐market ratio Minus Low factor. The second most influential variable was the year of reporting, and third most important was the Fama‐French 3‐factor model R² – together these described most of the variance in credit card fraud occurrence. In all cases the four major SOX specific opinions rendered by auditors and the signed SOX report had little predictive influence.     

Outside versus inside bonds: A Modigliani–Miller type result for liquidity constrained economies

When agents are liquidity constrained, two options exist – sell assets or borrow. We compare the allocations arising in two economies: in one, agents can sell government (outside) bonds and in the other they can borrow by issuing (inside) bonds. All transactions are voluntary, implying no taxation or forced redemption of private debt. We show that any allocation in the economy with inside bonds can be replicated in the economy with outside bonds but that the converse is not true. However, the optimal policy in each economy makes the allocations equivalent.     

Public knowledge,private knowledge: the intellectual capital of entrepreneurs

This paper focuses on the innovative actions of entrepreneurs, namely their tendency to reveal the intellectual capital that results from their research efforts either in the form of public knowledge (publications) or private knowledge (patents). Using data collected by the National Research Council within the US National Academies from their survey of firm’s that received National Institutes of Health phase II Small Business Innovation Research awards between 1992 and 2001, we find that entrepreneurs with academic backgrounds are more likely to publish their intellectual capital compared with entrepreneurs with business backgrounds, who are more likely to patent their intellectual capital. We also find that, when universities are research partners, their presence complements the tendencies of academic entrepreneurs but does not offset those of business entrepreneurs.     

What Determines the Size of Aid Projects?

Over the last few years, considerable attention has focused on aid fragmentation, the proliferation of donors and projects in developing countries. Aid fragmentation has continued to increase despite international efforts to foster donor coordination. One possible implication of fragmentation is smaller aid projects, potentially with the result of more administrative work for overtaxed recipient governments per dollar of aid received.This paper makes use of AidData data on bilateral aid commitments, sector, and funding agencies to explore the determinants of project size and to better understand the forces driving aid fragmentation. To the extent that project size is driven by the sectoral composition or purpose of aid, the associated administrative costs may be justified. Variations due to other factors, e.g. a donor’s administrative structure or bureaucratic interests, provide a stronger case for reforms.     

Incomplete Credit Markets and Commodity Marketing Behaviour

We use a simple theoretical model of seasonal market participation in the presence of liquidity constraints and transaction costs to explain the ‘sell low, buy high’ puzzle in which some households do not take advantage of inter‐temporal price arbitrage through storage and sell output postharvest at prices lower than observed prices for purchases in the subsequent lean season. We test our model with data from western Kenya using maximum likelihood estimation of a multivariate sample selection model of market participation. Access to off‐farm income and credit indeed seem to influence crop sales and purchase behaviours in a manner consistent with the hypothesised patterns.     

Perspective: Understanding the Nature and Measurement of the Lead User Construct

The lead user concept has attracted a lot of attention from scholars and practitioners alike. However, different studies apply different conceptualizations and measures of the lead user construct. Such variation in measurement of the construct make it almost impossible to consolidate findings from prior lead user research, which in turn hampers the accumulation of insights on the concept itself. This is also a challenge with respect to managerial practice: due to different interpretations of the concept, managers and R&D staff find it difficult to identify lead users for workshops and cooperation, and companies are often unable to transfer results from lead user projects to new product and business development. As a result, they only rarely repeat their work with lead users. The aim of this article is therefore to provide some thoughts and guidance on the conceptualization and measurement of the lead user construct.