BidPacket: trading bandwidth in public spaces

Smart devices such as smartphones and tablets are used extensively in public spaces for the transmission and reception of content in the form of text, photos and streaming videos. Since the bandwidth provided for wireless access is limited in public areas, it becomes an issue for users to gain access to the bandwidth they need at the right times. While an omniscient controller could assign bandwidth to each device on the basis of their needs and overall availability, imperfect information about the instantaneous state of the wifi access patterns and needs of users make for a very inefficient allocation of such bandwidth. This paper provides a solution for bandwidth allocation by creating a market among users of smart devices so that they can bid for extra bandwidth when they need it and sell it when they don’t. They do so by using a virtual currency that is conserved so that each device owner maximizes his own utility. This utility function is composed of both the benefit accrued from accessing bandwidth and the loss of the currency incurred in bidding for such bandwidth. Extensive simulations show that this market-based method outperforms an omniscient model when demand is uncertain, while minimizing bandwidth consumption.     

An empirical study of voluntary transfer pricing disclosures in China

This paper empirically investigates the factors that affect the management’s voluntary disclosures of the transfer pricing details of related-party transactions. Using Chinese data from 2004 and 2005, we hypothesize and find that firms that make voluntary disclosures of the pricing methods of related-party transactions are negatively associated with (i) a higher level of earnings management (as captured by abnormal related-party transactions) and (ii) its underlying incentives (as captured by the management’s performance-linked bonuses and the firm’s incentives to achieve earnings targets); further, they are positively associated with (i) a higher percentage of independent directors and (ii) a higher percentage of government ownership. Overall, our findings suggest that earnings management and its incentives, board composition, and ownership structure significantly influence the voluntary disclosure decisions of managers.     

Antecedents to Decision‐Making Quality and Agility in Innovation Portfolio Management

Innovation portfolio management (IPM) is a dynamic decision‐making process, in which projects are evaluated and selected, and resources are allocated. Previous research has developed an understanding of IPM success and its influencing factors. However, little research investigated the quality of the decision‐making process and the ability to quickly adapt the portfolio. This study focuses on the antecedents of decision‐making quality and agility (i.e., responsiveness to changes in the environment). Based on a decision‐making framework, five structural and cultural IPM components are derived as important antecedents of decision‐making quality, which in turn influences agility. The structural components (1) clarity of strategic goals, (2) formality of the IPM processes, and (3) controlling intensity serve a coordinating function. The cultural components (4) innovation climate and (5) risk climate serve a motivating function in IPM. An analysis of a sample of 179 firms and their innovation portfolios through structural equation modeling using a double‐informant design documents that these five components all positively influence portfolio decision‐making quality, which in turn positively influences agility. Results further show that environmental turbulence moderates some of these relationships. While the positive effect of process formality is weakened under increasing turbulence, the effects of controlling intensity and climate for innovation are strengthened by environmental turbulence. The findings have theoretical implications for the understanding of IPM as a dynamic capability and practical implications for the management of portfolios in turbulent environments.     

Two-stage DEA: <Emphasis Type="Italic">caveat emptor</Emphasis>

This paper examines the wide-spread practice where data envelopment analysis (DEA) efficiency estimates are regressed on some environmental variables in a second-stage analysis. In the literature, only two statistical models have been proposed in which second-stage regressions are well-defined and meaningful. In the model considered by Simar and Wilson (J Prod Anal 13:49–78, 2007), truncated regression provides consistent estimation in the second stage, where as in the model proposed by Banker and Natarajan (Oper Res 56: 48–58, 2008a), ordinary least squares (OLS) provides consistent estimation. This paper examines, compares, and contrasts the very different assumptions underlying these two models, and makes clear that second-stage OLS estimation is consistent only under very peculiar and unusual assumptions on the data-generating process that limit its applicability. In addition, we show that in either case, bootstrap methods provide the only feasible means for inference in the second stage. We also comment on ad hoc specifications of second-stage regression equations that ignore the part of the data-generating process that yields data used to obtain the initial DEA estimates.     

A proposal for a more objective measure of de facto constitutional constraints

In this paper we propose two new indicators of de facto constitutional constraints. The indicators are based on the presence or the absence of easily observable political events. This makes the proposed measures relatively objective and easy to verify relative to the most widely used indicators of de jure and de facto constitutions. This paper describes the indicators and demonstrates their usefulness for research on economic development.     

Richard H. Thaler — Wirtschaftsnobelpreisträger 2017

Richard H. Thaler was awarded this year’s Sveriges Riksbank Prize in Economic Sciences in Memory of Alfred Nobel “for his contributions to behavioural economics”. He studied systematic departures of human behaviour from the standard “homo oeconomicus” assumption. His famous work on boundedly rational behaviour considers both cognitive limitations and limited self-control. The cognitive limitations he studied are in particular the endowment effect, i.e. the observation that individuals assign a higher value to an object if they possess it, and mental accounting, a collection of theories regarding how individuals think about money. Furthermore, he provided path-breaking evidence on the nature of social preferences, which laid the groundwork for the development of several widely used economic theories incorporating altruism, fairness and reciprocity.     

Do professional forecasters behave as if they believed in the New Keynesian Phillips Curve for the euro area?

This paper finds that participants in the European Central Bank’s Survey of Professional Forecasters have submitted forecasts that are consistent with a (mostly forward-looking) empirical version of the New Keynesian Phillips Curve for the euro area. The estimation technique takes advantage of the panel nature of the Survey of Professional Forecasters’ dataset to exploit both its time series and cross-section dimensions, and to control for unobservable individual heterogeneity across forecasters. The estimation results suggest that euro-area inflation forecasts have reacted less to unemployment forecasts after the start of the financial crisis but another cost measure (energy inflation) remains significant. This finding is consistent with a flatter Phillips Curve in the euro area after 2007. However, the reasons suggested by the International Monetary Fund for this finding, namely a better anchoring of inflation expectations and increases in structural unemployment do not seem to find support in the survey data. Instead, the expectations for compensation per employee submitted by professional forecasters are consistent with the existence of downward real-wage rigidities in euro-area labour markets.     

Impacts of Jumps and Stochastic Interest Rates on the Fair Costs of Guaranteed Minimum Death Benefit Contracts

The authors offer a new perspective to the field of guaranteed minimum death benefit contracts, especially for simple return premium and rising floor guarantees. A particular feature of these contracts is a guaranteed capital upon the insured's death. A complete methodology based on the generalized Fourier transform is proposed to investigate the impacts of jumps and stochastic interest rates. This paper thus extends Milevsky and Posner (2001). If jumps alone are considered, similar results are obtained, but, when stochastic interest rates are introduced, the fair costs of the guarantee feature are found to be substantially higher in this more general economy.     

A test of the different implications of the overconfidence and disposition hypotheses

Under both the overconfidence and disposition biases, a positive relationship is predicted between prior returns and subsequent trading volume. However, theoretically the overconfidence and disposition effects have different implications on the relationships between the long- and short-position gains of traders and their subsequent buying and selling activities. We examine a unique dataset obtained from the Taiwan Futures Exchange which records all account-level trades and orders. Our data and methodology have the advantage of being able to empirically differentiate these two effects and we demonstrate that different types of traders exhibit different types and levels of behavioral biases.