Estimates of the demand for medical care under different functional forms

We estimate price and income elasticities from a linear, log-linear, and the almost ideal demand model (with and without an adjustment for selectivity bias) in an effort to show that special attention should be paid to the underlying assumptions of consumer behaviour when estimating a medical care demand model. The literature on medical care utilization is extended by incorporating two major components of spending as separate demands in a system of medical care spending. We find that estimates of elasticities vary depending on the functional form of the estimating equation, thus questioning the usefulness for policy purposes of single estimates of elasticities.     

Factors influencing the uptake of a mechatronics curriculum initiative in five Australian secondary schools

While the ready-made Lego™ Robotics kits are popular in schools and are used by students at both primary and secondary year levels, using the Picaxe microcontroller (chip) to create simple electronic devices, including robotic devices is less popular. The latter imposes an additional challenge as a result of the need to construct the universal board with the chip in it—a challenge embraced in the cross-disciplinary mechatronics program in this study. This paper reports on how teachers from five Australian secondary schools put into practice technological pedagogical content knowledge (TPCK) developed from expert-led workshops and explores factors (intrinsic and extrinsic) that influenced the implementation. The results show that different strategies were adopted by the schools in implementing the programs. While teacher attitude played an important role in influencing the program’s success, being able to identify where the program sits within the curriculum and planning around timetable and facility constraints were also important factors to consider. The research indicated that teachers’ TPCK was most challenged in non-obvious areas such as diagnosing where faulty soldering joints were.     

Comparing automated text classification methods

Online social media drive the growth of unstructured text data. Many marketing applications require structuring this data at scales non-accessible to human coding, e.g., to detect communication shifts in sentiment or other researcher-defined content categories. Several methods have been proposed to automatically classify unstructured text. This paper compares the performance of ten such approaches (five lexicon-based, five machine learning algorithms) across 41 social media datasets covering major social media platforms, various sample sizes, and languages. So far, marketing research relies predominantly on support vector machines (SVM) and Linguistic Inquiry and Word Count (LIWC). Across all tasks we study, either random forest (RF) or naive Bayes (NB) performs best in terms of correctly uncovering human intuition. In particular, RF exhibits consistently high performance for three-class sentiment, NB for small samples sizes. SVM never outperform the remaining methods. All lexicon-based approaches, LIWC in particular, perform poorly compared with machine learning. In some applications, accuracies only slightly exceed chance. Since additional considerations of text classification choice are also in favor of NB and RF, our results suggest that marketing research can benefit from considering these alternatives.     

SEPARATING EFFICIENCY AND EQUALITY,AUTOMATION, AND PIKETTY'S THEORY OF INCREASING CAPITAL SHARE

Despite disincentive effects, it is more efficient to tackle inequality by general equality promotion policies, including tax/transfers, than by trying to pursue equality in specific issues or policies. The latter policy also has the same degree of disincentive effects as the general policy but has additional distortive effects. While Piketty' concern with inequality is well taken and his proposal to reduce inequality has merits, his argument on the inevitability of increasing capital share under capitalism and the condition of rate of returns to capital being larger than the rate of growth in incomes (r > g) is not correct. (JEL D3, D6, H)     

Responding to crisis: severe acute respiratory syndrome (SARS) and hotels in Singapore

The sudden outbreak of severe acute respiratory syndrome (SARS) in Singapore in 2003 was a grave crisis for the tourism industry as a whole and highlights the importance of effectively managing and planning for such occurrences. This study looks at the particular consequences of the infectious virus for the hotel sector and reactions to the challenges posed. Further health‐related crises seem inevitable in the modern world and some guidelines for dealing with these are proposed, based on the Singapore experience and an existing framework for tourism crisis management. Copyright © 2004 John Wiley & Sons, Ltd.     

How antidumping measures affect US imports from China: A mesoeconomic perspective of the excess price changes

This paper studies the impact of US antidumping (AD) measures on US import volumes and prices from China, employing both theoretical analysis (mesoeconomics) and empirical analysis (difference in differences). Using US customs data, we find that US AD measures have substantial trade-dampening effects at the product level, and the exogenous increases of costs caused by AD duties push up the import prices of influenced import goods more than the increases in costs. We also build a mesoeconomic model that gives a reasonable and analytical explanation for our empirical findings.     

The impact of job embeddedness on innovation‐related behaviors

It has often been argued that low turnover leads to less innovation in organizations, not only because fewer job vacancies are available for outsiders with new ideas, but also because longer‐tenured employees might be more resistant to change. In this study, we propose that job embeddedness may actually strengthen employees' motivation to generate, spread, and implement innovative ideas in organizations. In a longitudinal study with a diverse sample, we found that job embeddedness was positively and significantly related to innovation‐related behaviors, even after controlling for demographic variables, the job attitudes, and the job perceptions that are frequently associated with job embeddedness. In addition, we found some support for the proposed moderating effects of career stage; that is, the relationship between job embeddedness and implementing innovative ideas was stronger for individuals in the mid‐ and late stages of their careers than for those in the early stage of their careers. This article concludes with directions for developing future theory. © 2010 Wiley Periodicals, Inc.     

后危机时期中国扩大内需政策辩析

后危机时期,为拉动世界经济发展,东亚尤其是中国扩大内需被寄予厚望。但是否增加内需就只能鼓励消费？鼓励购买汽车是否是刺激消费的＂好＂政策？本文对此进行了辨析。