麦肯锡全球调查创新与商业化

随着企业开始重新关注增长,创新冉一次成为了优先要务:在最近进行的麦肯锡全球调查中1,84%的高管称创新对于其企业的增长战略极为重要或非常重要.调查结果还显示,与危机前相比,企业用于产生出色创意并将这些创意转变为产品或服务的方法变化不大,而这并非因为高管们认为这些方法非常有效.此外,发现合适的人才、鼓励协作与承担风险,以及从头到尾组织创新流程等挑战也依然如故,这一点值得大家注意.事实上,过去几年的调查显示,成功创新的核心障碍一直没有变化,而企业在克服这些障碍方面也没有什么进展.     

Coordination with a backup supplier through buy-back contract under supply disruption

This paper studies a buy-back contract between a buyer and a backup supplier when the buyer’s main supplier experiences disruptions. The expected profit functions and the optimal decisions of the contract players are derived through a sequential optimization process. The common properties of the contract as well as the differences under the demand uncertainty and the main supplier’s recurrent supply uncertainty are explored through comparative studies and numerical examples. The study contributes to the literature by providing a better understanding of the impacts of demand and supply uncertainties and by shedding insights on the value of a backup supply.     

WHAT IS THE EFFECT OF HOUSEWORK ON THE MARKET WAGE,AND CAN IT EXPLAIN THE GENDER WAGE GAP?

Abstract Does housework reduce the market wage, and if so, does it have a similar impact for males and females? In this paper, we survey and evaluate the recent and growing empirical literature on the linkages between housework and the wage rate. The review is motivated by unexplained gender wage gaps across studies, which consider personal and market‐related factors. We focus on this less‐studied aspect of wage determination. We consider the required modelling framework, and provide standardized estimated effects of housework on the hourly wage across studies. We evaluate how this literature has addressed potential estimation problems, in particular, the endogeneity of housework, concavity of the housework–wage function, threshold effects and work effort effects. We conclude that the evidence across ordinary least squares, instrumental variable, fixed effects and two‐stage least squares results casts serious doubt on the idea that the negative female housework–wage relationship is only driven by endogeneity bias or individual‐specific characteristics. Yet, much more needs to be done to address modelling and data requirements, and we point out likely and promising future research directions.     

Subsidization of S&Ls under the flat-rate deposit insurance system: Some empirical estimates

This study provides some estimates of the magnitude of the subsidies extracted by S&L holding companies under the present flat-rate deposit insurance system. The results suggest that the flat-rate deposit insurance system induces substantially uneven and inequitable distribution of subsidies among thrift institutions. The analysis of the thrift institutions' asset volatilities over the 1966–1988 period does not support the claim that deregulation of the industry has led to a systematic increase in risk-taking in the industry. On the other hand, we find that a large fraction of the asset volatilities are attributable to firm-specific investment policies and that the risk of the institutions' assets change considerably over time. Taken as a whole, the results suggest that switching to a risk-based deposit insurance system would be economically more efficient than the present scheme. We provide some recommendations for policy changes that can increase the efficacy of risk-based insurance by increasing the level of monitoring by depositors and the financial markets.     

Older age underwriting: frisky vs frail

The speed of the aging process is variable. Some individuals remain exceptionally fit beyond age 90, while others become frail and fragile early. Survival is better predicted by biological age (state of health, status of reserves) rather than chronological age (age in years since date of birth). The frail group shows a higher mortality compared to the robust group. When assessing the elderly in underwriting, it is important to note the usual chronic diseases such as cardiovascular disease, COPD, cancer risk, and so on. But because of its strong impact on prognosis, it is also important to assess frailty. Key features of frailty are social isolation, dependency in managing life activities and self-care, cognitive decline, shrinking of bone and muscle mass, and slow weight loss.     

Analyst Earnings Forecast Revisions and the Pricing of Accruals

We investigate the relation between two market anomalies to provide insights into analysts role as information intermediaries. Prior research finds that accruals and analyst earnings forecast revisions predict future returns. We find that the accrual and forecast revision strategies generate hedge returns of 15.5% and 5.5% when implemented independently. Strikingly, a combined strategy that uses forecast revisions to refine the accrual strategy generates a hedge return of 28.5%. Firms with consistent accrual and forecast revision signals have less persistent accruals and earnings. We also find that accruals can be used to refine the forecast revision strategy—high accruals are associated with overoptimism in analyst forecasts. Our findings indicate that although forecast revisions reflect information about accrual and earnings persistence beyond that reflected in the level of current year accruals, investors do not fully incorporate this information into their valuation assessments.     

Global apparel production and sweatshop labour: can raising retail prices finance living wages?

This paper provides some empirical evidence on issues raisedby the global anti-sweatshop movement. We first consider therelationship between wage and employment growth, finding noconsistent trade-off between them. We then measure the shareof labour costs in the production of garments in the US andMexico. We find that the retail price increases necessary toabsorb the costs of raising wages substantially are small, wellwithin the range of price increases that polls suggest US consumersare willing to pay. We close by considering some implicationsof these results.     

The Correct use of Confidence Intervals and Regression Analysis in Determining the Value of Residential Homes

This paper shows that (1) the principle of substitution has been misinterpreted in regression analysis on residential homes by the misuse of the confidence interval; (2) the proper confidence interval to judge the accuracy of the equation is the mean CI; and (3) the accuracy of the equation can be improved by applying factor analysis to the entire data set rather than a predetermined neighborhood. These results are illustrated in a sample of 571 residential sales in Northwest Arkansas during 1975. The data are divided into clusters, and a regression equation is computed for each. The results show that the mean confidence interval is the correct application of the principle of substitution. The correct decision rule to determine the superiority of the multi-equation or the single equation model compares the explained to the unexplained variation. These results should allow the appraiser to select properties that are better suited for comparison. This will improve the accuracy of the regression analysis and resulting estimates of property value.