Wildlife Damage and Agriculture: A Dynamic Analysis of Compensation Schemes

We study the environmental and economic consequences of introducing a program to compensate peasants for damages caused by wildlife. We show that the widely held belief that compensation induces wildlife conservation may be erroneous. In a partially open economy, compensation can lower the wildlife stock and result in a net welfare loss for local people. In an open economy, compensation can trigger wildlife extinction and also reduce welfare. We identify the conditions leading to a reduction of the wildlife stock and discuss the implications for current and planned compensation programs in Africa and Asia.     

Delegation and incentives

This article analyzes the relation between authority and incentives. It extends the standard principal‐agent model by a project selection stage in which the principal can either delegate the choice of project to the agent or keep the authority. The agent's subsequent choice of effort depends both on monetary incentives and the selected project. We find that the consideration of effort incentives makes the principal less likely to delegate the authority over projects to the agent. In fact, if the agent is protected by limited liability, delegation is never optimal.     

Hurricane Fatalities and Hurricane Damages: Are Safer Hurricanes More Damaging?

The rising cost of hurricanes and other natural hazards has been a concern to policy makers and insurance industry executives. We offer a heretofore overlooked explanation for rising hurricane damages—the reduction in fatalities from hurricanes. Improved hurricane forecasts, more extensive evacuations, and other improvements make hurricanes less lethal, reducing the full cost of living on hurricane-prone coasts, and should paradoxically increase damages. We confirm this prediction by analyzing land-falling hurricanes in the mainland United States between 1940 and 1999. We first estimate a time-varying measure of hurricane lethality and then show that this measure significantly affects damages in hurricane-prone coastal areas.     

Multiple cones, factor price differences and the factor content of trade

This paper examines the theoretical predictions of the multi-cone Heckscher-Ohlin model and the empirical evidence for it. I extend Helpman (1984)by identifying additional restrictions that characterize the free trade equilibrium. I illustrate that the complete set of restrictions are the building blocks of a multi-cone factor content specification which is the factor content dual to Alan Deardorff's (1979)well-known chain of comparative advantage goods prediction. The theoretical analysis implies that the existing tests of Helpman are incomplete. Applying the complete set of restrictions to Choi and Krishna's data set of 8 OECD countries, I find limited empirical support. This is compatible with previous studies suggesting that OECD countries do not occupy different cones.     

Wealth Concentration over the Path of Development: Sweden, 1873–2006*

We study wealth concentration in Sweden over 130 years, from the beginning of industrialization until the present day. Our series are based on new evidence from estate and wealth tax data, foreign and domestic family firm‐wealth, and pension wealth estimates. We find that Swedish wealth concentration was high in the agrarian state, and changed little during early industrialization. From World War I until about 1950, the richest percentile lost ground to high‐income earners in the rest of the top‐wealth decile. This equalization continued postwar; the entire top decile lost‐out relative to the rest of the population. Around 1980, wealth compression stopped and inequality increased. We approximate the effects of international flows and find that the recent increase in wealth inequality is probably larger than what official estimates suggest.     

The proposed elimination of full cost accounting in the extractive petroleum industry: An empirical assessment of the market consequences

On July 15, 1977, the Financial Accounting Standards Board (FASB) issued an Exposure Draft of Statement 19 in which a proposal was set forth to establish the uniform usage of successful efforts accounting and to eliminate full cost accounting in the extractive petroleum industry. This study addresses the question of whether the proposed elimination of full cost accounting had an adverse effect on the security returns of full cost versus successful efforts firms. The evidence presented in this study suggests that the proposal to eliminate full cost accounting was associated with a significant negative difference in risk-adjusted rates between full cost firms and successful efforts firms whose financial reports remained unaffected by the proposed change. This observed difference was found to be sustained over an eight month period including confirming events and disclosures associated with the initial proposal. We do not attribute this difference to market inefficiencies but, rather, to the anticipated consequences which this mandated accounting change is likely to have on managerial behavior and to increased costs that will have to be borne by the affected companies.     

INVESTMENT BEHAVIOR OF U.S. FIRMS OVER HETEROGENEOUS CAPITAL GOODS: A SNAPSHOT

Previous research has shown that the composition of investment and capital can matter for investment dynamics and productivity. However, very little is known about the composition of investment at the micro level. The goal of this note is to help fill this knowledge gap by assessing the nature of the cross-firm variation in investment composition using micro data from the 1998 Annual Capital Expenditure Survey (ACES), a sample of roughly 30,000 firms drawn from the private, nonfarm economy. The data reveal substantial variation that can be characterized by heterogeneous lumpiness of investment in the asset-type dimension. The data also show that some of the variation in investment composition is due to the state of firms' total investment; specifically, computers account for a significantly larger share of firms' incremental investment than of lumpy investment.     

ON THE LINKAGE BETWEEN FINANCIAL RISK TOLERANCE AND RISK AVERSION

We explore the linkage between financial risk tolerance (FRT) and risk aversion. To do this, we obtain FRT scores from a psychometrically validated survey and conduct a battery of online lottery choice experiments involving the same nonstudent participants. We contrast: real and hypothetical payoffs, low and high stakes, decisions involving gains and losses, and order effects. Our key finding is that the two approaches to analyzing decision making under uncertainty are strongly aligned. We present evidence that this is particularly the case for the female participants in our sample and when high‐stake gambles are employed.     

Erratum on the MBG/NBD Model

This erratum clarifies an inconsistency in the equation provided by Batislam, Denizel, and Filiztekin [Batislam, E.P., Denizel, M., & Filiztekin, A., (2007). Empirical validation and comparison of models for customer base analysis. International Journal of Research in Marketing, 24 (3), 201–209] for the conditional expected number of future transactions used in their modified beta geometric/negative binomial distribution model. The derivation of the appropriate expression is carried out by means of parameter updates, which are an elegant alternative to integral calculus.     

Twitter Mining for Discovery,Prediction and Causality: Applications and Methodologies

Twitter has found substantial use in a number of settings. For example, Twitter played a major role in the ‘Arab Spring’ and has been adopted by a large number of the Fortune 100. All of these and other events have led to a large database of Twitter tweets that has attracted the attention of a number of companies and researchers through what has become known as ‘Twitter mining’ (also known as ‘TwitterMining’). This paper analyses some of the approaches used to gather information and knowledge from Twitter for Twitter mining. In addition, this paper reviews a number of the applications that employ Twitter Mining, investigating Twitter information for prediction, discovery and as an informational basis of causation. Copyright © 2015 John Wiley & Sons, Ltd.