Erring on the Margin of Error

The term “margin of error” is often erroneously explained in news articles reporting the results of public-opinion polls. We present here a number of representative examples of such misinterpretations drawn from the popular news media as well as from a number of authoritative Web sites (including that of the Gallup Organization) that explain the margin of error incorrectly. We suggest that encouraging students to search for, recognize, and correct misinterpretations of the margin of error can be a useful way of enhancing their understanding of sampling error, and we describe a number of classroom exercises that can help in this regard.     

The Effect of Managerial Incentives to Bear Risk on Corporate Capital Structure and R&D Investment

In this study we use estimates of the sensitivities of managers' portfolios to stock return volatility and stock price to directly test the relationship between managerial incentives to bear risk and two important corporate decisions. We find that as the sensitivity of managers' stock option portfolios to stock return volatility increases firms tend to choose higher debt ratios and make higher levels of R&D investment. These results are even stronger in a subsample of firms with relatively low outside monitoring. For these firms, managerial incentives to bear risk play a particularly pivotal role in determining leverage and R&D investment.     

Green accounting and green eyeshades twenty years later

This article proposes a way of accounting for firms’ social responsibilities as constructive obligations under the doctrine of promissory estoppel, thereby exposing certain limitations of financial accounting, given its current conceptual framework.     

New evidence on factors affecting the level and growth of US health care spending

The dual problems of high and rising medical care expenditures and substantial differences in spending across geographic regions have long plagued the US health care system. We provide new evidence to explain why some states and regions of the country spend much more on medical care than others, and why health care spending for the nation as a whole has been growing rapidly over the last several decades. To do this, we estimate a health care spending panel data model using annual data on all 50 states for the period 1993–2009. Our model includes a number of socio-economic, health care provider, lifestyle and environmental variables that past studies indicate may affect the level or growth of aggregate health care spending. We exploit the time effect component of our model to obtain an upper-bound estimate of the effect of advances in medical technology. Our findings indicate that the most important factors influencing the level of spending are availability of providers, income, excessive alcohol consumption, Medicaid coverage, HMO health plans and the proportion of the population elderly and African-American. The principal drivers of growth have been the continual introduction of new medical technologies, and the growth of providers and income.     

Natural resource endowments and the domestic revenue effort

We examine whether there is evidence of an offset between government revenues from hydrocarbon (oil and gas) related activities and revenues from other domestic sources in a panel of 30 hydrocarbon producing countries. Our main finding is that there is an offset of about 20%, which is robust to the inclusion of control variables, the exclusion of outliers, and alternate estimation methodologies. While the impact of the offset on long-term development prospects is not clear, there is a risk of significant adjustment costs in moving to a higher level of domestic taxation once natural resources are depleted.     

Commodity tax straddles and the valuation of domestic futures exchanges: An analysis of the 1981 Economic Recovery Tax Act

The Economic Recovery Tax Act (ERTA) of 1981 substantially altered the taxation of commodity tax straddles. Prior to 1981, commodity tax straddles were actively promoted and used to defer income, to convert ordinary income into capital gains, or to convert short-term into long-term capital gains. ERTA imposed a mark-tomarket rule of account settlement for the taxation of futures transactions. This study examines the impact of ERTA on the futures industry by utilizing futures exchange seat prices for all domestic futures exchanges. Futures exchange seats represent specialized capital assets whose value reflects the discounted present value of expected future economic rents derived from trading activity. The results indicate that ERTA produced a large decrease in the market valuation of futures exchange capital which was not recaptured in the ten months following the announcement.The financial support of the Columbia Futures Center was essential to the research reported here. The authors thank two anonymous reviewers for helpful suggestions, and Matthew Deno, Darrell Petter, and Shan Guo for valuable research assistance.     

The Ricardian equivalence hypothesis: evidence from Bangladesh

In this paper, a probabilistic discrete choice approach is used to examine the influence of economic and non-economic factors on the choice of medical specialty by new physicians. A two level nested logit model is estimated that relaxes the independence from irrelevant alternatives assumption, and allows for a potentially more realistic pattern of substitution across specialty choices. The results from this specification are compared to those obtained from joint and conditional logit models. The findings, which are relatively robust across models, indicate that economic incentives play an important role in the specialty choice process, in particular, expected hours worked and medical school indebtedness. Physician tastes for specialties also appear to have an important influence.     

Peer effects in learning HIV results

How do neighbors positively or negatively influence individuals living in rural Malawi to learn their HIV results? Using data of location of homes and distance to neighbors, we measure the social network effects of neighbors' learning their HIV results on individuals own learning. Using the fact that neighbors were randomly offered monetary incentives of varying amounts to learn their HIV results, we find positive effects of neighbors attending clinics on others living nearby: a 10 percentage point increase of the percentage of neighbors (approximately 2.4 individuals) learning their HIV results increases the probability of learning HIV results by 1.1 percentage points. The strongest network effects are among closest neighbors; we find no effect among religious social networks. We also find a negative interaction between direct cash incentives and peers: the effect of peers doubles among those who were not offered any individual financial incentive to learn their HIV results.