Inference for the two-parameter bathtub-shaped distribution based on record data

Here we consider the record data from the two-parameter of bathtub-shaped distribution. First, we develop simplified forms for the single moments, variances and covariance of records. These distributional properties are quite useful in obtaining the best linear unbiased estimators of the location and scale parameters which can be included in the model. The estimation of the unknown shape parameters and prediction of the future unobserved records based on some observed ones are discussed. Frequentist and Bayesian analyses are adopted for conducting the estimation and prediction problems. The likelihood method, moment based method, bootstrap methods as well as the Bayesian sampling techniques are applied for the inference problems. The point predictors and credible intervals of future record values based on an informative set of records can be developed. Monte Carlo simulations are performed to compare the so developed methods and one real data set is analyzed for illustrative purposes.     

The benefits and implementation of performance transparency: The why and how of letting your customers ‘see through’ your business

While some organizations swear by the benefits of transparency and are eager to learn and implement transparency practices, many managers are still reluctant or even afraid to use them. Our research reveals that only a few innovative companies have taken steps to leverage a potentially useful form of transparency: the provision of accessible and objective information to customers (e.g., sharing unbiased benchmark data, publishing unfiltered customer comments, or providing candid product reviews that may praise but also criticize the company’s products). Our study also shows that many companies remain wary and view greater calls for transparency as a challenge to be managed rather than an opportunity to be traded upon. This is partly due to limited research into the performance benefits of giving customers access to objective information, and lack of practical guidelines on how to actually implement it. This article addresses these shortcomings. First, we investigate whether performance transparency leads to customer outcomes that can be profitable for an organization and, second, we analyze the characteristics of successful transparency initiatives in a wide range of industries. Our research shows that customers exhibit more trust and are willing to pay a premium to deal with transparent businesses. Also, it uncovers seven effective strategies to leverage transparency. This article provides convincing empirical evidence for the benefits of performance transparency and the ways in which management may implement it successfully.     

Does expenditure in public governance guarantee less corruption? Non-linearities and complementarities of the rule of law

Corruption is an endemic societal problem with profound implications in the development of nations. In combating this issue, cross-national evidence supporting the effectiveness of the rule of law seems at odds with poorly realized outcomes from reforms inspired in the academic literature. This paper provides an explanation for such contradiction. By building a computational approach, we develop three methodological novelties into the empirical study of corruption: (1) modeling government expenditure as a more adequate intervention variable than traditional indicators, (2) generating large within-country variation by means of bottom-up simulations (instead of cross-national data pooling), and (2) accounting for all possible interactions between covariates through a spillover network. Our estimates suggest that, the least developed a country is, the more difficult it is to find the right combination of policies that lead to reductions in corruption. We characterize this difficulty through a rugged landscape that governments navigate when changing the total budget size and the relative expenditure towards the rule of law. Importantly our method helps identifying the—country-specific—policy issues that complement the rule of law in the fight against corruption.

     

2017 KLEIN LECTURE: THE SCIENCE OF USING SCIENCE: TOWARD AN UNDERSTANDING OF THE THREATS TO SCALABILITY

Policymakers are increasingly facing the challenge of scaling empirical insights. This study provides a theoretical lens into the science of how to use science. Through a simple model, we highlight three elements of the scale-up problem: (1) when does evidence become actionable; (2) properties of the population; and (3) properties of the situation. Until these three areas are fully understood, the threats to scalability will render any scaling exercise as particularly vulnerable. Accordingly, our work represents a call for more policy-based evidence, whereby the nature and extent of the various threats to scalability are explored in the original research program.     

How should resource‐rich countries diversify? Estimating forward‐linkage effects of mining on productivity growth

Resource‐rich countries willing to diversify their economies are faced with dual policy options; to either develop resource‐based industries, or diversify their economies as a whole and invest into new activities that are not necessarily resource dependent. Not only does the economic theory fail to provide a consensual guidance on this issue but empirical evidence is also lacking. This paper empirically assesses which of these two patterns of diversification is associated with higher productivity growth outcomes for resource‐rich countries. Using panel data for 50 resource‐abundant countries over the period 1970–2010, I find that stronger downstream linkages to mining and extractives do not lead to productivity enhancements. Broadening and diversifying the production structure as a whole offers potential for productivity growth at higher levels of income.     

Exposure to Provincial and National Information and Firm Performance: Crisis Period Evidence from China

This paper examines the impact of exposure to provincial and national information on the performance of non-financial Chinese firms during the recent global financial crisis (2007 to 2009). The results show that firms with higher level of exposure to provincial information are affected less by the crisis than firms with higher level of exposure to national information. The results are also robust across various proxies of firm performance. The main contribution of this paper is to highlight sources of value for Chinese firms during the recent financial crisis. More importantly, this paper uses publicly available information to draw attention on the role played by national and provincial sources of information in defining firm performance during the recent global financial crisis.

     

The determinants of FDI location choice in China: a discrete-choice analysis

This study addresses two questions: What are the determinants of foreign direct investment (FDI) location choice in China? What are the factors that determine investors’ choice between ‘Economic zones’ in China on one hand, and ‘other cities’ of China on the other hand? This study shows that FDI location choice is sensitive both on the endowment conditions in different regions/cities/economic zones in China as well as on the country of origin of the FDI. Based on a data set of 1218 observations, the results of the binary logit regressions indicate that the protection of intellectual rights, agglomeration economies, investments in education and gross regional product affect the location choice of FDI in China. This choices, however, varies depending on the origin of the FDI. Policy makers can use these findings to channel FDI to targeted regions/ cities.     

The Relationship Among Ethical Climate,Job Satisfaction,Organizational Commitment,and External Auditor＇s Turnover Intention

This study attempts to examine the relationship among ethical climate, job satisfaction, organizational commitment, and turnover intention in the context of the Malaysian external auditor＇s work environment. The questionnaire is sent to a sample of external auditors from Malaysian Big Four （Klynveld Peat Marwick Goerdeler （KPMG）, Ernst and Young, Deloitte KassimChan, and PricewaterhouseCoopers （PwC）） main offices. There are 167 useable responses. The regression results have provided evidence that ethical climate is directly, significantly, and positively associated with job satisfaction. In contrast, ethical climate appeared not to be directly related with external auditor＇s turnover intention. Both job satisfaction and organizational commitment were identified as significant predictors in explaining turnover intention, since they had a significant and negative effect on external auditor＇s turnover intention. This study also implied that job satisfaction had a significant effect on organizational commitment. Furthermore, the findings revealed that organizational commitment partially mediated the relationship between job satisfaction and turnover intention. The results extend the literature on external auditor＇s turnover intention and provide insights for human resource management in accurately assessing employee＇s turnover intention in order to improve retention and reduce actual turnover particularly in audit firms.     

The characteristic function of rough Heston models

It has been recently shown that rough volatility models, where the volatility is driven by a fractional Brownian motion with small Hurst parameter, provide very relevant dynamics in order to reproduce the behavior of both historical and implied volatilities. However, due to the non‐Markovian nature of the fractional Brownian motion, they raise new issues when it comes to derivatives pricing. Using an original link between nearly unstable Hawkes processes and fractional volatility models, we compute the characteristic function of the log‐price in rough Heston models. In the classical Heston model, the characteristic function is expressed in terms of the solution of a Riccati equation. Here, we show that rough Heston models exhibit quite a similar structure, the Riccati equation being replaced by a fractional Riccati equation.