Achieving the Millennium Development Goals in Sub‐Saharan Africa: A Macroeconomic Monitoring Framework

This paper presents a macroeconomic approach to monitoring progress toward achieving the Millennium Development Goals (MDGs) in Sub‐Saharan Africa. At the heart of our framework is a macro model which captures key linkages between foreign aid, public investment (disaggregated into education, infrastructure and health), the supply side and poverty. The model is then linked through cross‐country regressions to indicators of malnutrition, infant mortality, life expectancy and access to safe water. A composite MDG Indicator is also calculated. The functioning of our framework is illustrated by simulating the impact of an increase in foreign aid to Niger at the MDG horizon of 2015, under alternative assumptions about the degree of efficiency of public investment. Our approach can serve as the building block for Strategy Papers for Human Development (SPAHD), a more encompassing concept than the current ‘Poverty Reduction’ Strategy Papers.     

在近岸采油装置上实施集成风险检查系统

介绍中东国家把集成风险检查和检查系统用于近岸油田装置。根据详细的风险检查分析和过去的检查记录,对所选择的设备采用无损检测技术实施检查。资产数据、检查记录和有关文件都集中保存在计算机系统中。这样有能力保管和查看不同种类的文件和图样。这个系统能生成和监管维修和检查工作单,并能与企业其他系统进行交流。有一个知识数据库用于资产整合活动,与MS Excel的输入/输出功能进行数据交换也更加方便。     

Two estimators of the long-run variance: Beyond short memory

This paper deals with the estimation of the long-run variance of a stationary sequence. We extend the usual Bartlett-kernel heteroskedasticity and autocorrelation consistent (HAC) estimator to deal with long memory and antipersistence. We then derive asymptotic expansions for this estimator and the memory and autocorrelation consistent (MAC) estimator introduced by Robinson [Robinson, P. M., 2005. Robust covariance matrix estimation: HAC estimates with long memory/antipersistence correction. Econometric Theory 21, 171–180]. We offer a theoretical explanation for the sensitivity of HAC to the bandwidth choice, a feature which has been observed in the special case of short memory. Using these analytical results, we determine the MSE-optimal bandwidth rates for each estimator. We analyze by simulations the finite-sample performance of HAC and MAC estimators, and the coverage probabilities for the studentized sample mean, giving practical recommendations for the choice of bandwidths.     

Is mandated independence necessary for audit quality?

Independence (in fact as well as in appearance) is widely thought to be necessary for the quality of audits, and audit quality is often equated with independence. Private incentives to demand (and supply) independent certification of financial statements are thought to be insufficient, thus the need to mandate independence through regulation. This study presents data from a field experiment on the unregulated market for certification of baseball cards to assess the role of independence vis-à-vis other auditor attributes such as competence, price, and service on audit quality. In our field experiment, we examine prices of baseball cards sold on eBay with or without third party certification. In addition, the certifier was either independent or deeply immersed in providing other services to market participants. We find that market participants pay a significant premium for certified cards. Certifiers who are deeply immersed (and therefore apparently less independent) also provide higher quality service in the form of being stricter graders, command larger price premiums, and dominate in market share. Implications for independence and audit quality are discussed.     

A gossip based information fusion protocol for distributed frequent itemset mining

The computational complexity, huge memory space requirement, and time-consuming nature of frequent pattern mining process are the most important motivations for distribution and parallelization of this mining process. On the other hand, the emergence of distributed computational and operational environments, which causes the production and maintenance of data on different distributed data sources, makes the parallelization and distribution of the knowledge discovery process inevitable. In this paper, a gossip based distributed itemset mining (GDIM) algorithm is proposed to extract frequent itemsets, which are special types of frequent patterns, in a wireless sensor network environment. In this algorithm, local frequent itemsets of each sensor are extracted using a bit-wise horizontal approach (LHPM) from the nodes which are clustered using a leach-based protocol. Heads of clusters exploit a gossip based protocol in order to communicate each other to find the patterns which their global support is equal to or more than the specified support threshold. Experimental results show that the proposed algorithm outperforms the best existing gossip based algorithm in term of execution time.     

Individual and contextual antecedents of older managerial employees' willingness to accept intra-organizational job changes

This study examines the respective influence of individual characteristics and contextual factors on employees' willingness to accept major internal job changes – i.e. domestic relocation, international assignment and change of discipline – in their late careers. Data were obtained from a two-wave longitudinal survey of 584 management-level employees from different private-sector organizations located in France. Three separate hierarchical regression equations were run to test the relationships of interest in this study, one for each of the three internal mobility opportunities. The set of attitudinal variables was found to explain a significant proportion of the variance in the willingness to change discipline, but its influence was weak or null respectively in explaining willingness to accept an international posting or domestic relocation. Off-the-job embeddedness and spouse's unwillingness to move were confirmed as strong deterrents to relocation. As for the individual characteristics, openness to experience was identified as a major determinant of all the types of mobility included in this study. The results suggest that a much more dynamic role could be envisaged for late-career managers, at least for respondents corresponding to certain individual and contextual variables.     

Intervention analysis of the safety effects of a legislation targeting excessive speeding in Canada

Excessive speeding is a major traffic safety concern consequently, numerous countermeasures have been considered to mitigate this problem. Excessive speeding, street racing and stunt driving activities subject all road users to extreme risk. To address this problem, three Canadian provinces introduced severe sanctions against drivers who exceed speed limits by high margins. Under the laws offenders were subject to immediate license suspension and vehicle impoundment. In this paper, intervention analysis of the collision data from the three provinces was conducted to identify the safety effects of the legislation. The analysis aims to identify changes in the time series behaviour of collision data after the adoption of the law. The changes were assessed for statistical significance, and the magnitude of the change was quantified. In general, the paper showed that the legislative changes were associated with drops in province-wide fatal collisions substantiating the safety benefits of introducing such legislation against excessive speeders.     

Exchange-rate variability and industry trade flows between Malaysia and Japan

This research investigates the exchange-rate risk sensitivity of Malaysian bilateral trade flows with its important trading partner, Japan. To this end, bounds testing approach to co-integration is applied using industry level data over the monthly period 2000–2013. Findings suggest that above the one-third of the total co-integrated export (43.86%) and import (34.54%), industries experiences the ringgit/yen variability effect in the short run. However, this effect sustains in relatively less number of export (14.03%) and import (32.73%) industries in the long run. It is interesting to note that exchange-rate risk boosts trade flows in the majority of these affected industries.