Ethical Decision Making: The Effects of Escalating Commitment

Despite the recent emergence of many new ethical decision making models, there has been minimal emphasis placed on the impact of escalating commitment on the ethical decision making process. In this paper a new variable is introduced into the ethical decision making literature. This variable, exposure to escalation situations, is posited to increase the likelihood that individuals will choose unethical decision alternatives. Further, it is proposed that escalation situations should be included as a variable in Jones's (1991) comprehensive model of ethical decision making. Finally, research propositions are provided based on the relationship between escalating commitment and the ethical decision making process.     

A difference in informational influences: Services vs. goods

The literature provides little insight as to whether a difference exists between the marketing of services and goods. Most textbooks do not address the issue of possible differences. Their neglect of the topic would seem to indicate a working hypothesis that services and goods do not differ in any meaningful way. Authors of articles and books that do address the service issue typically dwell on implied differences between goods and services. Wyckham (1975) has concluded that “in terms of marketing, services are not different from products (goods).” Wyckham’ argument and most of the other services literature, however, is non-empirical and provides little guidance as to whether a difference between goods and servicesactually exists.     

Optimal financial investments for non-concave utility functions

We prove a formula for the computation of optimal financial investments in an expected utility framework with arbitrary (not necessarily concave) utility functions. This extends classical results on optimal financial investments for strictly concave utility functions and is of importance particularly for applications of prospect theory where the utility function has a convex-concave shape.     

Giving Stated Preference Respondents “Time to Think”: Results From Four Countries

Previous studies have found that contingent valuation (CV) respondents who are given overnight to reflect on a CV scenario have 30–40% lower average willingness-to-pay (WTP) than respondents who are interviewed in a single session. This “time to think” (TTT) effect could explain much of the gap between real and hypothetical WTP observed in experimental studies. Yet giving time to think is still rare in binary or multinomial discrete choice studies. We review the literature on increasing survey respondents’ opportunities to reflect on their answers and synthesize results from parallel TTT studies on private vaccine demand in four countries. Across all four countries, we find robust and consistent evidence from both raw data and multivariate models for a TTT effect: giving respondents overnight to think reduced the probability that a respondent said he or she would buy the hypothetical vaccines. Average WTP fell approximately 40%. Respondents with time to think were also more certain of their answers, and a majority said they used the opportunity to consult with their spouse or family. We conclude with a discussion of why researchers might be hesitant to adopt the TTT methodology.     

Was the emergence of the international gold standard expected? Evidence from Indian Government securities

The emergence of the gold standard has for a long time been viewed as inevitable. We analyze agents' expectations using the spread between gold and silver bonds issued by the Indian government. We find that bimetallism was credible until France surprised markets by suspending domestic operation of bimetallism, triggering a run away from silver. Thereafter, markets began demanding a premium to hold silver bonds, indicating their belief that silver would depreciate in the future as more countries moved on gold.     

Forecasting the Yen/U.S. Dollar exchange rate: Empirical evidence from a capital enhanced relative PPP-based model

This study uses a relative purchasing power parity (PPP) model based on price indexes (consumer, CPI or traded-goods price indexes, TPI), interest rate differentials, and a linear forecasting technique to determine the horizon over which such a model outperforms a random walk in forecasting the Yen/U.S. Dollar exchange rates out-of-sample. The results improve if one adjusts a simple CPI-based PPP-model by interest rate differentials, while the best results are obtained using a TPI-based PPP-model. For example, the TPI-based model, adjusted by interest rate differentials, is able to statistically significantly outperform the pure random walk starting at forecast horizons of 1 month.