Software for Learning and for Doing Statistics

The community of statisticians and statistics educators should take responsibility for the evaluation and improvement of software quality from the perspective of education. The paper will develop a perspective, an ideal system of requirements to critically evaluate existing software and to produce future software more adequate both for learning and doing statistics in introductory courses. Different kinds of tools and microworlds are needed. After discussing general requirements for such programs, a prototypical ideal software system will be presented in detail. It will be illustrated how such a system could be used to construct learning environments and to support elementary data analysis with exploratory working style.     

Why are Small Firms Different? Managers’ Views

Do incentives differ between large and small organizations? Results from a representative survey of compensation managers are used to shed light on the issues. I find that (i) small establishments rely less on pecuniary incentives, and have a significantly more hostile attitude towards incentive schemes based on competition and relative rewards; (ii) large units are more vulnerable to mechanisms of efficiency wages, effects that remain even after controlling for differences in monitoring ability; (iii) large units are more prone to indicate that negative reciprocity is important, and that their employees care about relative pay. I argue that these findings fit with behavioral stories of incentives and motivation, in particular those stressing group interaction effects, inequity aversion and gift exchange.     

LABOUR SUPPLY ESTIMATION AND PUBLIC POLICY

Abstract. Economists devote considerable energies towards refining their econometric techniques to overcome difficulties connected with conducting empirical research. Despite advances in technique. it is not clear whether further refinement in this direction is worthwhile for policy purposes. It may be that no further amount of statistical adjustment of inadequate data will increase understanding, and that better data is simply necessary to add to our knowledge. But rarely is sufficient credit paid to new forms of data. In short, econometric technique is emphasized to the neglect of data innovation, as if new data were merely lying about waiting for an ingenious suggestion for use. This paper surveys advances of the last twenty five years in estimating labour supply for policy purposes with a view towards appreciating the relative contribution of both improvements in econometric technique as well as developments of new data.
After briefly detailing the key parameters which economists have sought to estimate, we describe the early 'first generation' research (circa 1970), which is plagued by problems of unobservable variables, measurement errors, truncation and selectivity bias, and non linear budget constraints. 'Second generation' research constitute attempts to resolve one or more of these difficulties, and the respective contribution of econometric technique and new data is acknowledged and assessed, including the contribution of data generated by large scale social experiments in which participants are randomly assigned to different guaranteed income plans and their labour supply behaviour measured.     

Economics and underdetermination: a case study of urban land and housing economics

Underdetermination, associated with the Duhem–Quine thesis,is a familiar if under-researched theme in economics. In thelight of this, we examine the development of urban land andhousing economics. Through its Cartesian dualistic delineationof theory and data, the contemporary mainstream approach appearsunable to circumvent the problem of underdetermination. In effect,it employs the strong version of Duhem–Quine in its retentionof the assumption of a single, unitary competitive market (andassociated access–space trade-off). Conversely, we highlightthe affinity of Ely's (and the later Columbia School's) approachto pragmatists Dewey and Peirce, which provides a more fruitfulbasis for explanation.     

城市轨道交通开通运营阶段的溢价回收方法研究

城市轨道交通的外部性导致项目盈利困难,解决这种困难的方案之一是将轨道交通溢价返还给建设企业。然而,作为传统计算溢价大小的方法,地价函数模型缺乏时间序列分析。本文在传统土地溢价计算模型的基础上,引入时间维度,建立城市轨道交通开通运营阶段溢价的面板数据计量模型,使得溢价计算的精度得以提高。     

武汉城市圈生态环境与经济发展关系研究——基于面板数据的分析

构建了环境—经济模型,并基于武汉城市圈9个城市2006年至2008的面板数据进行实证研究,结果表明:武汉城市圈经济发展与生态环境呈反向变化关系,其经济发展在某种程度上仍是以牺牲环境为代价的;同时,圈内9个城市环境与经济关系存在明显的个体差异。武汉城市圈应加大对污染产业的技术改造,推行清洁生产,并不断优化产业结构,大力发展具有高产出、低消耗、低污染的绿色产业。     

Consumers’ willingness to disclose their personal data in e-commerce: A reciprocity-based social exchange perspective

While personal data is invaluable to firms, the drivers of e-commerce customers' willingness to disclose their personal data remain tenuous. Using social exchange theory, we develop a model that explores the impact of consumers' perceived benefit, and relative power, on store trust, in turn driving their willingness to disclose their personal data. We collected our empirical data using a representative online survey, with the results being analyzed by using structural equation modeling. The results corroborate that (a) consumer-perceived e-commerce store trust drives their willingness to disclose their personal data, and (b) perceived e-commerce provider reciprocity outweighs consumers’ perceived data disclosure benefit, suggesting the existence of symbolic (vs. purely instrumental) social exchange.     

Analysing customers' reviews and ratings for online food deliveries: A text mining approach

The purpose of this study was to explore the relationship between online reviews and ratings through text mining and empirical techniques. An Indian food delivery portal ( Zomato.com ) was used, where 50 restaurants on Presence Across Nation (PAN) basis were selected through stratified random sampling. A total of 2530 reviews were collected, scrutinized, and analysed. Using the NVivo software for qualitative analysis, seven themes were identified from collected reviews, out of which, the ‘delivery’ theme was explored further for identifying sub-themes. Linear regression modelling was used to identify the variables affecting delivery ratings and sentiment analysis was also performed on the identified sub-themes. Regression results revealed that hygiene and pricing (delivery subthemes) demonstrated lower delivery ratings. These variables can be established as indicators for restaurants and related online food delivery services to build their business model around them. Similarly, negative sentiments were observed in pricing and hygiene sub-themes. Restaurants and online food services can enhance hygiene levels of their food delivery process in order to receive higher delivery ratings. Similarly, pricing of food items can be modified such that customers are not deterred from ordering the items—food and ordering service do not become cost-prohibitive. This study devised a standardized methodology for analysing vast amounts of online user-generated content (UGC). Findings from this study can be extrapolated to other sectors and service industries such as, tourism, cleaning, transportation, hospitals and engineering especially during the pandemic.     

Cross-national consumer research using structural topic modelling: Consumers' approach-avoidance behaviours

This study introduces structural topic modelling (STM), a sophisticated unsupervised machine-learning algorithm for text analysis, to compare Indonesian and Malaysian Muslim consumers' approach-avoidance behaviours toward Korean beauty products using social media data. The STM results revealed 16 topics for each country, including new common themes belonging to K-beauty culture and wannabe Korean skin. Intriguing differences were also observed between these countries. Korea-related constructs, such as Korea's image and wannabe Korean skin, were approach factors for only Indonesians. Korean cosmetic brand-specific topics were extracted for only Malaysians and were significantly associated with their behavioural responses. Unsuitable Korean beauty products and domestic product preferences were avoidance factors for Indonesians, but new product risks and conflicts between Muslim and Korean cultures for Malaysians. We demonstrate that STM is a helpful tool in cross-national research for corroborating and extending the existing theoretical frameworks. The practical implications are also provided for global marketers.     

“省直管县”财政体制如何促进经济增长——基于江苏省2004-2009年数据的实证分析

近几年来,省直管县财政体制在各省陆续实施,其主要目的在于克服既有的市管县体制存在的各种弊端。可以预期,这项改革措施有减少行政管理成本、解决县乡财政困难、促进县域经济增长等多种潜在作用。但可能存在的问题是,该财政体制如何促进经济增长?文章利用江苏省51个县(市)2004-2009年的空间面板数据进行分析发现,省直管县财政体制对经济增长的作用主要是通过县(市)扩权而产生的政府竞争效应实现的。