The Effects of Escalating Commitment on Ethical Decision-Making

Although scholars have invoked the escalation framework as a means of explaining the occurrence of numerous organizationally undesirable behaviors on the part of decision makers, to date no empirical research on the potential influences of escalating commitment on the likelihood of unethical behavior at the individual level of analysis has been reported in either the escalation or the ethical decision-making literatures. Thus, the main purpose of this project is to provide a theoretical foundation and empirical support for the contention that escalating commitment situations can induce unethical behavior in decision makers. An experimental research design utilizing a computerized investment task was administered to 155 undergraduate business majors as a means of assessing the hypotheses presented here. Results from a hierarchical logistic regression analysis found strong support for the contention that exposure to an escalation situation increases the likelihood of unethical behavior on the part of decision makers. Further, results also supported previous ethical decision-making findings by confirming the effects of locus of control (LOC) on ethical behavior. Specifically, the data indicated that individuals with an external LOC orientation were significantly more likely to select the unethical option than were individuals with an internal LOC orientation. Interestingly, support was not found for the effects of Machiavellianism or gender on ethical decision-making.     

How to make Dupire’s local volatility work with jumps

There are several (mathematical) reasons why Dupire’s formula fails in the non-diffusion setting. And yet, in practice, ad-hoc preconditioning of the option data works reasonably well. In this note, we attempt to explain why. In particular, we propose a regularization procedure of the option data so that Dupire’s local vol diffusion process recreates the correct option prices, even in manifest presence of jumps.     

Transaction Structure in Japanese Small Business Sector

An attempt has been made to examine some aspects of transaction structure of the small business sector in Japanese manufacturing. It has been found that there are some interesting findings in the industrial organization of the sector (1) In the transactions of intermediate goods with manufacturing, small businesses have more frequent transactions with other small businesses than with large firms. On the other hand, large firms have more transactions with each other than with small businesses; (2) The transactions between SMEs and large firms, and between SMEs themselves vary from industry to industry, depending on production/demand structure of an industry and product structure of its SMEs sector; (3) In engineering, such as electrical machinery and transport equipment, the intra-industry transactions from small businesses to large firms are great, suggesting a larger extent of subcontracting relationships. Also, textiles, clothing, and printing and publishing also have higher subcontracting transactions.The relationships are different between the two groups.     

State Income Taxes and Interstate Migration

This paper examines the comprehensive IRS data set of state-state migration flows for evidence that differences in state income tax rates are associated with migration patterns. Using annual data on moves between every pair of states, pooled time-series cross-section regressions indicate that in the 1992–2010 period states with higher top marginal income tax rates experienced relatively greater outmigration of taxpayers and gross income. To illustrate the magnitude of the tax effect, we estimate that by 2010 cumulative losses since the enactment of New Jersey’s 2004 “millionaires’ tax” were as much as 42,000 taxpayers and $6.9 billion in annual adjusted gross income. These results suggest that sustained, relatively high income tax rates could gradually erode a state’s population and revenue base.     

Financial disclosure by SMEs listed on a semi-regulated market: evidence from the Euronext Free Market

This study investigates the financial disclosure policy of small and medium-sized enterprises listed on a stock market with very low disclosure requirements: the Free Market of the Euronext Stock Exchange. In contrast to firms listed on a regulated stock market, firms on the Free Market do not have any obligation to disclose periodic or price-sensitive information. We investigate the determinants of voluntary financial disclosure and its influence on stock liquidity. Our results suggest that firms disclose more financial information when they are likely to benefit from disclosure. Firms especially disclose when they issue equity. Voluntary disclosure also has a significant positive effect on stock liquidity, consistent with disclosure reducing information asymmetry.     

SELECTION BIAS CORRECTIONS BASED ON THE MULTINOMIAL LOGIT MODEL: MONTE CARLO COMPARISONS

Abstract.  This survey presents the set of methods available in the literature on selection bias correction, when selection is specified as a multinomial logit model. It contrasts the underlying assumptions made by the different methods and shows results from a set of Monte Carlo experiments. We find that, in many cases, the approach initiated by Dubin and MacFadden (1984) as well as the semi-parametric alternative recently proposed by Dahl (2002) are to be preferred to the most commonly used Lee (1983) method. We also find that a restriction imposed in the original Dubin and MacFadden paper can be waived to achieve more robust estimators. Monte Carlo experiments also show that selection bias correction based on the multinomial logit model can provide fairly good correction for the outcome equation, even when the IIA hypothesis is violated.     

Creating Value Through Best‐In‐Class Capital Allocation1

With the economy showing signs of recovery, companies are shifting their focus from liquidity and balance sheet concerns back towards capital allocation and value creation. This article provides a comprehensive framework to examine shareholder value creation through capital allocation, and discusses important capital allocation lessons that have re‐emerged over the last few years. Notable among the key lessons are the following:

• ? Growth alone does not guarantee value creation, which suggests that companies should allocate capital based on the economic value of each investment opportunity.
• ? The limits of diversification in a financial crisis should be considered when allocating capital and managing liquidity.
• ? Companies should be conservative with base‐case cash flow projections and incorporate the possibility of downside scenarios into their projections.
• ? It is important to incorporate all forms of capital when managing liquidity.
• ? Whether using a long‐term or current‐market approach, companies should be consistent throughout the cycle in their cost of capital methodology.
• ? Companies should continually rethink investments and allocate capital in an attempt to maintain a competitive advantage.
• ? Evaluate returns relative to risk and cost of capital, and not against the company's average ROIC.
• ? Comparing the IRR of share repurchases to new investments is not an apples‐to‐apples comparison.

Finally, companies should concentrate on the strategic uses and value of particular assets and not allow their decisions to be driven by the value they might receive relative to their initial cost.     

LABOR MOBILITY OF IMMIGRANTS: TRAINING,EXPERIENCE, LANGUAGE,AND OPPORTUNITIES*

This article analyzes the labor mobility and human capital accumulation of male immigrants from the former Soviet Union to Israel. We estimate a dynamic choice model for employment and training in blue‐ and white‐collar occupations, where the labor market randomly offered opportunities are affected by past choices. The estimated model accurately reproduces the patterns in the data. The estimated direct earning return to local training, local experience, and knowledge of Hebrew are very high, whereas imported skills have zero (conditional) return. The welfare gain from the impact of training on job offer probabilities is larger than its effect on wages.