Cardinality-based equality of opportunities

We study possible rankings of opportunity profiles. An opportunity profile is a list of opportunity sets, one for each agent in the society. We compare profiles on the basis of the notion of “equality of opportunities”. Our main results show the necessary and sufficient conditions for this comparison to be made using exclusively the information provided by two cardinal measures: the number of common alternatives in all sets of a given profile and the difference between the number of alternatives in the individual sets. We also show that, under additional axioms, we can combine these criteria only in a weighted procedure or in some lexicographic refinements of a weighted procedure.      

Pitfalls of Normal-Gamma Stochastic Frontier Models

Although conceptually pleasing, normal-gamma frontier models lead to difficult estimation problems. It is shown here that unless the sample size reaches several thousands of observations the shape parameter of the gamma density is hard to estimate, and that this carries over to estimates of the stochastic frontier, the individual inefficiencies, and the allocation of the overall variance to the stochastic frontier and to the inefficiencies.     

Testing for unit roots in time series models with non-stationary volatility

Many of the key macro-economic and financial variables in developed economies are characterized by permanent volatility shifts. It is known that conventional unit root tests are potentially unreliable in the presence of such behaviour, depending on a particular function (the variance profile) of the underlying volatility process. Somewhat surprisingly then, very little work has been undertaken to develop unit root tests which are robust to the presence of permanent volatility shifts. In this paper we fill this gap in the literature by proposing tests which are valid in the presence of a quite general class of permanent variance changes which includes single and multiple (abrupt and smooth-transition) volatility change processes as special cases. Our solution uses numerical methods to simulate the asymptotic null distribution of the statistics based on a consistent estimate of the variance profile which we also develop. The practitioner is not required to specify a parametric model for volatility. An empirical illustration using producer price inflation series from the Stock–Watson database is reported.     

The Role of Omitted Variables in Identifying a Long-run Equilibrium Relationship for the Italian Government Growth

We discuss the role of omitted variables in the long run empirical modeling of the Italian government growth based on a Wagner's Law framework. We identify a non-spurious long-run relationship between general government expenditure and domestic product only when our Wagner's Law model is enhanced by a measure of bureaucratic power, as a supply-side variable, and by the ratio of local to state expenditure, as an institutional factor that captures the division of competencies between local and central government in allocating public expenditure. This result is independent from the Wagner's Law specification chosen. The persistence profile analysis shows a slow adjustment to equilibrium for the estimated government growth relationship following system-wide shocks, pointing to rigidities and complex functioning of the public sector.     

Exploring consumer attitudes to online collaborative consumption: A typology of collaborative consumer profiles

Online collaborative consumption enhances peer networks, members of which communicate, collaborate, and even deliver services to one another via digital sharing platforms. Despite the tremendous increase in collaborative consumption, due in large part to the development of the Internet, the reality of the economic and social movements that underpin this trend is much less visible. Of course, not all consumers seek collaborative consumption or interact through online platforms. Using a qualitative approach, this paper aims to investigate motivational factors and barriers against collaborative consumption and to establish a typology of collaborative consumer profiles, identifying the most suitable type of online sharing platforms for each profile. The findings reveal the following collaborative consumer profiles: committed, pragmatists, intermittent, and skeptical, each demonstrating different preferences for the different type of online sharing platform.     

Reliable Inference in Categorical Regression Analysis for Non‐randomly Coarsened Observations

In most surveys, one is confronted with missing or, more generally, coarse data. Traditional methods dealing with these data require strong, untestable and often doubtful assumptions, for example, coarsening at random. But due to the resulting, potentially severe bias, there is a growing interest in approaches that only include tenable knowledge about the coarsening process, leading to imprecise but reliable results. In this spirit, we study regression analysis with a coarse categorical‐dependent variable and precisely observed categorical covariates. Our (profile) likelihood‐based approach can incorporate weak knowledge about the coarsening process and thus offers a synthesis of traditional methods and cautious strategies refraining from any coarsening assumptions. This also allows a discussion of the uncertainty about the coarsening process, besides sampling uncertainty and model uncertainty. Our procedure is illustrated with data of the panel study ‘Labour market and social security' conducted by the Institute for Employment Research, whose questionnaire design produces coarse data.     

Supply chain risk analysis: a shipbuilding industry case

A lack of empirical studies on Supply Chain Risk Management (SCRM) is observed, especially in the industries of large projects. Therefore, this paper conducts a risk analysis on the Brazilian Shipbuilding Industry by generating an initial risk profile. A panel was conducted with executives from major shipyards, and the primary risks were identified, assessed, and evaluated. Findings corroborate the academic literature, reinforcing that companies recognise the importance of SCRM, but the concept is incipient and far from being successfully implemented in real life. Despite the fact that the shipyards identified important risks, the focus was on internal factors. Because the industry was exposed to risks from the external environment, no risk mitigation actions existed, resulting in the bankruptcy of many shipbuilders. This research is an initial step toward investigating SCRM techniques, offering academics a novel empirical approach that can serve as a systematic risk management tool for supply chain planning.     

Adoption of precision farming tools: A context-related analysis

This paper deals with precision farming tools (PFTs), a way of farming which relies on specialized equipment, software and information technologies services, whose importance is underlined in recent documents of the European Union. Precision farming is an integrated and sustainable farm management system making use of modern technologies to increase farm’s profitability, by reducing environmental impact. In this paper we explore the complex mechanisms that affect PFT’s adoption by Italian farmers. More precisely, we try to analyse the context-related factors affecting adoption of PFTs in the Italian farms.Little research has been carried out in Italy on this topic, therefore our paper tries to fill a gap in literature. In order to investigate the process of technology adoption related to precision agriculture, a questionnaire was submitted to a sample of Italian farms. The questionnaire has been structured in order to apply the AKAP (Awareness, Knowledge, Adoption, Product) sequence. Our analysis underlines that context-related factors are fundamental dimensions to be explored in order to specify uptake of PFTs. Therefore, the paper has relevant policy implications, within the context of a new participatory approach to agricultural innovation characterized by bottom-up processes boosted by farmers, which has informed the recent policies of agricultural innovation at the EU level.     

Understanding the travel motivation and patterns of international students in Korea: using the theory of travel career pattern

This study examined the travel motivation of international students in Korea using the theory of travel career pattern (TCP). In particular, latent profile analysis (LPA) was applied to identify latent classes within international students. Based on the results, four latent profiles were derived and named “Core,” “Longing,” “Middle,” and “Veteran.” The results described the travel motivation and patterns across these four profiles to enhance the understanding of international students in the context of tourism. There were significant differences in travel patterns (i.e. travel companion and information sources) among the profiles segmented by motivation. This study has expanded travel motivation research by (a) applying TCP to an understudied population (i.e. international students in a non-English-speaking country); (b) comparing travel careers between the home country, Korea (i.e. a study abroad destination), and the third countries; and (c) highlighting LPA as a clustering tool to understand travel motivation.     

企业英文简介语料对比研究——以宁波模具行业企业为例

在搜集宁波模具企业中英文简介的基础上,对比了国外模具企业简介,从宁波模具企业简介涵盖的主要内容特点、英文简介的主要错误、国外模具企业简介相对宁波模具企业简介的不同侧重点等方面进行了深入的分析,并在此基础上提出了宁波模具企业英文简介改进建议.