Regulatory Impact Assessment and the Economic Transition to Markets

In most developing and transition economies, far-reaching legal and regulatory reforms are essential for a successful transition to market-led economic development. One of the most important capacities of a market regulator is the ability to assess the market impacts of a regulation before it is adopted. Regulatory impact analysis (RIA) is a tool now used in most developed countries to improve understanding of the economic and social welfare impacts of a law and other forms of regulation. This article argues that institutional reforms aimed at good governance are at the core of the development process, that RIA can contribute to the quality of legal reforms and support other good governance goals, and that RIA can be implemented step-by-step by building on existing practices and investing in skills and training.     

Ex ante analysis of the benefits of transgenic drought tolerance research on cereal crops in low-income countries

This article develops a framework to examine the ex ante benefits of transgenic research on drought in eight low-income countries, including the benefits to producers and consumers from farm income stabilization and the potential magnitude of private sector profits from intellectual property rights (IPRs). The framework employs country-specific agroecological–drought risk zones and considers both yield increases and yield variance reductions when estimating producer and consumer benefits from research. Benefits from yield variance reductions are shown to be an important component of aggregate drought research benefits, representing 40% of total benefits across the eight countries. Further, estimated annual benefits of US$178 million to the private sector suggest that significant incentives exist for participation in transgenic drought tolerance research.     

Linking Order Fulfillment Performance to Referrals in Online Retailing: An Empirical Analysis

Referral management for online retailers is a strategically important activity, as referrals offer a highly cost‐effective method of customer acquisition. In fact, online customers mention referrals as the second‐most common reason for choosing to shop at a particular retailer, second only to search engine suggestions. However, while online retailers are able to improve their visibility on search engines through focused keyword insertions, they are often unable to pinpoint the drivers of referral behavior among their customers. The current research examines the relationship between two key dimensions of online retailing: order fulfillment cycle times and referral behavior. Employing a theory of customer appraisal and empirically testing the ensuing model using structural equation modeling, we find that excellent order fulfillment is instrumental in generating referrals for the online retailer, even after factoring in product quality.     

Analyst following and count-data econometrics

This paper reexamines the determinants of the number of analysts following a firm using econometric models based on count distributions. We replicate Bhushan's (1989) analyst-following study to demonstrate the effects of using count-data econometrics, in lieu of OLS, in studying phenomena where the dependent variable ranges among nonnegative integers. In contrast with the original paper, our findings indicate the number of institutional investors is inversely related with analyst following. We also provide econometric evidence to support the preferred use of the negative binomial model in estimating cross-sectional, analyst-following regressions.     

Incomplete Markets and Security Prices: Do Asset-Pricing Puzzles Result from Aggregation Problems?

This paper investigates Euler equations involving security prices and household-level consumption data. It provides a useful complement to many existing studies of consumption-based asset pricing models that use a representative-agent framework, because the Euler equations under investigation hold even if markets are incomplete. It also provides a useful complement to simulation-based studies of market incompleteness. The empirical evidence indicates that the theory is rejected by the data along several dimensions. The results therefore indicate that some well-documented asset-pricing puzzles do not result from aggregation problems for the preferences under investigation.