Insurance,credit, and technology adoption: Field experimental evidencefrom Malawi

Does production risk suppress the demand for credit? We implemented a randomized field experiment to ask whether provision of insurance against a major source of production risk induces farmers to take out loans to adopt a new crop technology. The study sample was composed of roughly 800 maize and groundnut farmers in Malawi, where by far the dominant source of production risk is the level of rainfall. We randomly selected half of the farmers to be offered credit to purchase high-yielding hybrid maize and groundnut seeds for planting in the November 2006 crop season. The other half of farmers were offered a similar credit package, but were also required to purchase (at actuarially fair rates) a weather insurance policy that partially or fully forgave the loan in the event of poor rainfall. Surprisingly, take-up was lower by 13 percentage points among farmers offered insurance with the loan. Take-up was 33.0% for farmers who were offered the uninsured loan. There is suggestive evidence that reduced take-up of the insured loan was due to farmers already having implicit insurance from the limited liability clause in the loan contract: insured loan take-up was positively correlated with farmer education, income, and wealth, which may proxy for the individual's default costs. By contrast, take-up of the uninsured loan was uncorrelated with these farmer characteristics.     

Teaching courses in macroeconomics and monetary policy with Bloomberg analytics

In this article, the authors illustrate the use of Bloomberg for analyzing topics in macroeconomics and monetary policy in economics and finance courses. The hands-on experience that students gain from such a course has many benefits, including deeper learning and clearer understanding of data. The authors describe goals and learning objectives, then compare Bloomberg with Federal Reserve Economic Data (FRED). In addition, they provide examples of how to use Bloomberg in the classroom, describe how to have students perform sector analysis, show how Bloomberg tools are useful for analyzing monetary policy, discuss how to use Bloomberg to analyze the financial sector, and illustrate the platform’s use in a case study.     

Anticipating converging industries using publicly available data

Industry convergence, described as the blurring of boundaries between industries, plays an increasingly pivotal role in shaping markets and industries. Traditionally, this phenomenon has been discussed in respect to telecommunications, information technologies and electronics, but more recently also the chemical and its related industries find themselves affected by a larger convergence process. With the primary example of phytosterols in the two converging industries of Cosmeceuticals and of Nutraceuticals and Functional Foods, we analyze 7455 scientific and patent references in respect to first indicators for signs of convergence. Furthermore, we present and discuss a multiple indicator concept for monitoring convergence in an R&D-intensive field on the basis of publicly available data.     

Combining stated and revealed choice research to simulate the neighbor effect: The case of hybrid-electric vehicles

According to intuition and theories of diffusion, consumer preferences develop along with technological change. However, most economic models designed for policy simulation unrealistically assume static preferences. To improve the behavioral realism of an energy–economy policy model, this study investigates the “neighbor effect,” where a new technology becomes more desirable as its adoption becomes more widespread in the market. We measure this effect as a change in aggregated willingness to pay under different levels of technology penetration. Focusing on hybrid-electric vehicles (HEVs), an online survey experiment collected stated preference (SP) data from 535 Canadian and 408 Californian vehicle owners under different hypothetical market conditions.Revealed preference (RP) data was collected from the same respondents by eliciting the year, make and model of recent vehicle purchases from regions with different degrees of HEV popularity: Canada with 0.17% new market share, and California with 3.0% new market share. We compare choice models estimated from RP data only with three joint SP–RP estimation techniques, each assigning a different weight to the influence of SP and RP data in coefficient estimates. Statistically, models allowing more RP influence outperform SP influenced models. However, results suggest that because the RP data in this study is afflicted by multicollinearity, techniques that allow more SP influence in the beta estimates while maintaining RP data for calibrating vehicle class constraints produce more realistic estimates of willingness to pay. Furthermore, SP influenced coefficient estimates also translate to more realistic behavioral parameters for CIMS, allowing more sensitivity to policy simulations.     

Does trade liberalization harm the environment? A new test

Some believe that relatively lenient environmental standards give developing countries a comparative advantage in pollution–intensive goods. Thus, freer trade will harm their environment. This paper brings together the literature on openness and growth, and on the environmental Kuznet’s curve, to demonstrate that the opposite may be true. A simultaneous–equations system is derived which incorporates multiple effects of trade liberalization on the environment. Estimation using pooled provincial data on Chinese water pollution, suggests that freer trade aggravates environmental damage via the terms of trade, but mitigates it via income growth. Simulations suggest that the net effect in China was beneficial. JEL Classification: Fl3, Q28, 0l9 Est–ce que la libéralisation du commerce est nuisible pour l’environnement? Un nouveau test. Certains croient que des normes environnementales relativement peu contraignantes donnent un avantage comparatif aux pays en voie de développement dans la production de biens qui polluent intensivement. Donc, un commerce plus libre contribuera à nuire à l’environnement. Ce mémoire synthétise la littérature spécialisée sur l’ouverture des marchés et la croissance, ainsi que sur la courbe de Kuznets, pour montrer que l’inverse est vrai. On dérive un système d’équations simultanées qui incorpore les multiples effets de la libéralisation du commerce sur l’environnement. La calibration de ce système, en utilisant de manière intégrée les données provinciales de pollution de l’eau en Chine, suggère qu’un commerce plus libre aggrave l’état de l’environnement par le truchement du jeu des termes d’échange, mais que cet effet est mitigé par l’effet de croissance des revenus. Des simulations suggèrent que l’effet net en Chine est positif.     

Child malnutrition and school performance in China

Data on the height, weight, age and grade level of over 3,000 children in five quite different locations in China allow computation of how far behind in school each child is, relative to where he should be given his age, as well as of the nutritional status variables of height-for-age, weight-for-age and weight-for-height. This paper uses these data to estimate the impact of the nutritional variables on the available measure of school performance. Children tend to be about one grade further behind in rural areas than in the provincial capitals, and about one-half a grade further behind in the provincial capitals than in Beijing. Even after controlling for location, however, lower nutritional status (particularly height-for-age) was found to affect school performance adversely; a one standard deviation reduction in height-for-age, for example, would result in a child's being about one-third of a year further behind. Though results from a geographically limited sample should be generalized only with substantial caution, and alternative interpretations of the data are possible, it does appear likely that malnutrition in rural China remained sufficiently prevalent in 1979 to retard the school advancement of large numbers of children.     

Revisiting the objectives of worker-managed firms: An empirical assessment

This paper provides new evidence on the objectives pursued by worker-managed firms (WMFs). The basic neoclassical model assumes that WMFs maximizes net income per member instead of total profits (Ward, 1958). Even though it has been largely criticized, the Ward model has dominated the self-management literature. Alternative models suggest that WMFs are not only concerned about income per worker but also about the level of employment. However, the empirical content of these competing theoretical models has been rarely analyzed. This paper contributes to fill this gap by estimating the parameters of a generic welfare function, following the methodology proposed by Craig and Pencavel (1993). These parameters determine the relative importance that a WMF places on income per worker vis-a-vis the level of employment. Estimates are based on a long micro-panel of Uruguayan firms covering the entire population of Uruguayan worker-managed firm and conventional firms in 31 3-digit sectors over the period April 1996-December 2005. Following a strictly neoclassical framework, but simply allowing a more general specification of the WMF goals, we show that the assumption of the basic neoclassical model of the WMF is misleading. Our results support the view that WMFs are concerned with both employment and income per worker.     

Harsh Evaluations of Entrepreneurs Who Fail: The Role of Sexual Orientation,Use of Environmentally Friendly Technologies,and Observers' Perspective Taking

Although there is a pervasive anti‐failure bias in society, we investigate why some entrepreneurs who fail are evaluated more harshly than others. Building on attribution theory and the literatures on prejudice, pro‐social intentions, and perspective taking, we offer an evaluation model of entrepreneurial failure and test this model on 6,784 assessments made by 212 observers. We find that variance in the harshness of failure evaluations depends on both the attributes of the entrepreneur and the attributes of the observer, and the interaction between the two. Specifically, entrepreneurs who are homosexual are evaluated more harshly by some observers and entrepreneurs who use environmentally friendly technology are evaluated less harshly. Moreover, observers high in perspective taking are more ‘lenient’ in their failure evaluations of those who use environmentally friendly technology than those low in perspective taking.