Stated values and reminders of substitute goods: Testing for framing effects with choice modelling

Choice modelling, a non-market valuation technique, is used to explore framing issues in the context of environmental valuations. Choice modelling appears to have promise in simultaneously valuing a pool of substitute amenities and goods. Describing choices according to component attributes can also help to frame choices according to a number of trade-offs. The statistical information available helps to determine where framing effects have occurred. Three choice modelling experiments were reviewed to show that framing effects may be more widespread in non-market valuation studies than is commonly thought.     

Information processing costs and corporate tax avoidance: Evidence from the SEC’s XBRL mandate

The IRS uses information contained in financial statements as well as tax returns to detect tax avoidance behavior. We examine the impact on corporate tax avoidance behavior of reductions in the IRS’s information processing costs resulting from the mandatory adoption of XBRL for financial reporting. Motivated by the recent debate in the U.S. Congress over the cost-benefit of mandatory XBRL reporting for small firms, we pay particular attention to small firms, which inherently have relatively high information frictions. We find that the adoption of XBRL for financial reporting results in a significant decrease in tax avoidance. We further find that the negative relation between XBRL reporting and tax avoidance is less prominent for firms subject to more intense IRS monitoring in the pre-XBRL-reporting period. Overall, our results suggest that XBRL reporting reduces the cost of IRS monitoring in terms of information processing, which dampens managerial incentives to engage in tax avoidance behavior.     

Win/Loss Data and Consumer Switching Costs: Measuring Diversion Ratios and the Impact of Mergers*

We propose an identification strategy for diversion based on win/loss data. First, we show that win/loss data from the merging firms and market shares in two periods for all firms are sufficient to identify the diversion ratios between the merging partners. Second, we show that win/loss data from the merging firms alone are sufficient for partial identification, and we construct a lower bound that provides a good approximation to the diversion ratio when switching costs are high. We demonstrate the performance of our method with numerical simulations and with an application to the Anthem/Cigna merger.     

Economic valuation of product features

We develop a market-based paradigm to value the enhancement or addition of features to a product. We define the market value of a product or feature enhancement as the change in the equilibrium profits that would prevail with and without the enhancement. In order to compute changes in equilibrium profits, a valid demand system must be constructed to value the feature. The demand system must be supplemented by information on competitive offerings and cost. In many situations, demand data is either not available or not informative with respect to demand for a product feature. Conjoint methods can be used to construct the demand system via a set of designed survey-based experiments. We illustrate our methods using data on the demand for digital cameras and demonstrate how the profits-based metric provides very different answers than the standard welfare or Willingness-To-Pay calculations.     

A comparison of city size distributions for China and India from 1950 to 2010

We examine the distributions of Chinese and Indian city sizes for seven decades (1950s to 2010s) using lognormal, Pareto, and general Pareto distributions. We ascertain which distribution fits the data and how the city size distributions change during these periods. The Chinese city size distribution is represented by lognormal in the early periods (1950–1990) and by Pareto in 2010, but is not characterized by Zipf, which could be attributed to Chinese government’s restrictions of migration from rural to urban areas and the one-child policy. In contrast, the Indian city size distribution transitions from lognormal in the earlier periods to Zipf in the later periods.     

Encouraging Charitable Donations via Charity Gift Cards: A Self-Determination Theoretical Account

Charities seeking to increase donations are now offering charity gift cards (CGCs), which allow recipients to select how their gift card is allocated across various charitable projects. Supporting a model derived from self-determination theory, an experiment shows that U.S. consumers are more satisfied and more likely to donate to the card-sponsoring charity after using a CGC than after learning a donation has been made in their name, because CGCs enhance consumers’ felt autonomy, competence, and relationship with the charity and its projects, which predict a more charitable self-concept and satisfaction with the gift. Theoretical and managerial implications are discussed.     

Evidence on nonlinear error correction in money demand: the case of Taiwan

This paper proposes a nonlinear error-correction model based upon smooth transition regression methodology. The model is specified such that the short-run adjustment toward long-run equilibrium is nonlinear and that the error correction is a smooth function of long-run deviation. Empirical results obtained from estimating M2 money demand in Taiwan support the hypothesis of a nonlinear error-correction process and provide better interpretation of change in the demand for money.     

Drinking and academic performance in high school

I investigate the extent to which negative alcohol use coefficients in Grade Point Average regressions reflect unobserved heterogeneity rather than direct effects of drinking, using 2001 and 2003 Youth Risk Behaviour Survey data on high school students. Results illustrate that omitted factors are quite important. Drinking coefficient magnitudes fall substantially in regressions that control for risk and time preference, mental health, self-esteem and consumption of other addictive substances. Moreover, the impact of binge drinking is negligible for students who are less risk averse, heavily discount the future or use other drugs. However, effects that remain significant after accounting for unobserved heterogeneity and are relatively large for risk averse, future-oriented and drug-free students suggest that binge drinking might slightly worsen academic performance. Consistent with this, the relationship between grades and drinking without binging is small and insignificant on the extensive margin and positive on the intensive margin.