The Value of a Utilitarian Curriculum: The Case of Technological Education

The position taken in this paper is that narrow conceptions of human development and the purposes of schooling have tended to displace rather than situate subjects like technology in the curriculum. Arguments which support this position, however, are only possible when the paradigm through which schooling is operationalized, is inverted. Viewing classic school subjects as abstractions which perpetuate narrow conceptions of pedagogy is a contentious position to take. But taking it and understanding how a utilitarian curriculum spawns real human development and learning gives a whole new perspective to curriculum theory and practice.     

A random coefficient autoregressive Markov regime switching model for dynamic futures hedging

The random coefficient autoregressive Markov regime switching model (RCARRS) for estimating optimal hedge ratios, which generalizes the random coefficient autoregressive (RCAR) and Markov regime switching (MRS) models, is introduced. RCARRS, RCAR, MRS, BEKK‐GARCH, CC‐GARCH, and OLS are compared with the use of aluminum and lead futures data. RCARRS outperforms all models out‐of‐sample for lead and is second only to BEKK‐GARCH for aluminum in terms of variancereduction point estimates. White's data‐snooping reality check null hypothesis of no superiority is rejected for BEKK‐GARCH and RCARRS for aluminum, but not for lead. © 2006 Wiley Periodicals, Inc. Jrl Fut Mark 26:103–129, 2006     

A note on the incompatibility of strategy-proofness and Pareto-optimality in quasi-linear settings with public budgets

We show that any deterministic mechanism, for allocating identical items that are complements to budget-constrained bidders, cannot simultaneously satisfy individual-rationality, strategy-proofness, Pareto-efficiency, and no-positive-transfers. This holds even for two bidders, two items, and commonly-known budgets, and generalizes to richer settings.     

The high volume return premium: Cross-country evidence

We examine the high volume return premium across 41 different countries and find it to be a phenomenon found in both developed and emerging markets. The premium is not caused by systematic differences in risk or liquidity. Using Merton's (1987) investor recognition hypothesis as a guide, we find the magnitude of the premium is generally associated with country and firm characteristics hypothesized to affect returns subsequent to a change in a stock's visibility. We also characterize the time-series properties of the premium and consider economic trading strategies.     

Do firms understate stock option-based compensation expense disclosed under SFAS 123?

Focusing on the four key option pricing model inputs—expected option life, expected stock price volatility, expected dividend yield, and the risk-free interest rate for the expected life of the option—this study finds that firms understate option value estimates and, thus, stock-based compensation expense disclosed under SFAS 123. As predicted based on incentives and opportunities for management to understate SFAS 123 expense, the understatement of option value estimates is increasing in proxies for the magnitude of the expense, is greater for firms with weaker corporate governance, and, to a lesser extent, is increasing in the excessiveness of executive pay. The findings are strongest for the expected option life and expected stock price volatility input assumptions, consistent with firms’ greater latitude in determining these inputs. We find weaker evidence of understatement associated with the expected dividend yield assumption, and none for the interest rate assumption, consistent with these inputs being less amenable to discretion. Taken together, our findings raise some concern that the exercise of management discretion adversely affects the overall reliability of SFAS 123 expense.

Executive stock-based compensation and firms’ cash payout: the role of shareholders’ tax-related payout preferences

We hypothesize that the structure of executive stock-based compensation helps to align managers’ payout choices with shareholders’ tax-related payout preferences. Specifically, stock options, which are not dividend-protected, can deter self-interested executives from using dividends as a form of payout. In contrast, restricted stock, which is dividend-protected, is more likely to induce the use of dividends. Relatedly, shareholders’ preferences for dividends, which are taxed as ordinary income, can depend on the income tax consequences of dividends relative to those of long-term capital gains. To test our hypothesis, we investigate whether the exogenous changes in shareholders’ tax-related payout preferences following the 2003 dividend tax rate reduction result in predictable shifts in executive stock-based compensation and in managers’ payout choices. Consistent with our prediction, we find a positive relation between the increased use of dividends in firms’ payouts and the increased (decreased) use of restricted stock (stock options) in executive compensation, particularly for firms with a greater percentage ownership by individual investors and with lower costs associated with modifying the structure of their compensation plans. Our investigation of the role of shareholders’ tax-related payout preferences in the design of executive stock-based compensation extends the prior literature that has largely focused on the role of incentive contracts in inducing managerial effort, risk taking, and retention.     

Innovation ecosystems and the pace of substitution: Re‐examining technology S‐curves

Why do some new technologies emerge and quickly supplant incumbent technologies while others take years or decades to take off? We explore this question by presenting a framework that considers both the focal competing technologies as well as the ecosystems in which they are embedded. Within our framework, each episode of technology transition is characterized by the ecosystem emergence challenge that confronts the new technology and the ecosystem extension opportunity that is available to the old technology. We identify four qualitatively distinct regimes with clear predictions for the pace of substitution. Evidence from 10 episodes of technology transitions in the semiconductor lithography equipment industry from 1972 to 2009 offers strong support for our framework. We discuss the implication of our approach for firm strategy. Copyright © 2015 John Wiley & Sons, Ltd.     

Economic evaluation of nivolumab for the treatment of second-line advanced squamous NSCLC in Canada: a comparison of modeling approaches to estimate and extrapolate survival outcomes

Background Lung cancer is the most common type of cancer in the world and is associated with significant mortality. Nivolumab demonstrated statistically significant improvements in progression-free survival (PFS) and overall survival (OS) for patients with advanced squamous non-small cell lung cancer (NSCLC) who were previously treated. The cost-effectiveness of nivolumab has not been assessed in Canada. A contentious component of projecting long-term cost and outcomes in cancer relates to the modeling approach adopted, with the two most common approaches being partitioned survival (PS) and Markov models. The objectives of this analysis were to estimate the cost-utility of nivolumab and to compare the results using these alternative modeling approaches.

Methods Both PS and Markov models were developed using docetaxel and erlotinib as comparators. A three-health state model was used consisting of progression-free, progressed disease, and death. Disease progression and time to progression were estimated by identifying best-fitting survival curves from the clinical trial data for PFS and OS. Expected costs and health outcomes were calculated by combining health-state occupancy with medical resource use and quality-of-life assigned to each of the three health states. The health outcomes included in the model were survival and quality-adjusted-life-years (QALYs).

Results Nivolumab was found to have the highest expected per-patient cost, but also improved per-patient life years (LYs) and QALYs. Nivolumab cost an additional $151,560 and $140,601 per QALY gained compared to docetaxel and erlotinib, respectively, using a PS model approach. The cost-utility estimates using a Markov model were very similar ($152,229 and $141,838, respectively, per QALY gained).

Conclusions Nivolumab was found to involve a trade-off between improved patient survival and QALYs, and increased cost. It was found that the use of a PS or Markov model produced very similar estimates of expected cost, outcomes, and incremental cost-utility.