Fashionable food: a latent class analysis of social status in food purchases

A framed field experiment combined with a latent class econometric approach was used to investigate how prestige-seeking behaviour influences food choices. We propose a theoretical framework to test conspicuous consumption of specialty food products. We test the hypothesis empirically by categorizing individuals into unobserved latent classes according to their general prestige-seeking behaviour. We find evidence of food consumption driven by prestige to the point of becoming a symbol of social status. The prestige-seeking behaviour seems to be motivated by invidious comparison or higher-class individuals seeking to differentiate themselves from lower-class individuals; and pecuniary emulation, or lower-class individuals buying prestigious goods in order to be perceived as members of a higher class. Findings from this study revealed that the effects of differentiating labelling attributes had a higher impact for individuals classified into classes with prestige-seeking behaviour to attain an elevated social status.     

Non-attendance and dual processing of common-metric attributes in choice analysis: a latent class specification

There is a growing literature that promotes the presence of process heterogeneity in the way that individuals evaluate packages of attributes in real or hypothetical markets and make choices. A centerpiece of current research is the identification of rules that individuals invoke when processing information in stated choice (SC) experiments. These rules may be heuristics used in everyday choice making as well as manifestations of ways of coping with the amount of information shown in choice experiment scenarios. In this paper, using the latent class framework, we define classes based on rules that recognise the non-attendance of one or more attributes, as well as on the addition and the parameter transfer of common-metric attributes. These processing strategies are postulated to be used in real markets as a form of cognitive rationalization. We use a SC data set, where car driving individuals choose between tolled and non-tolled routes, to translate this new evidence into a willingness to pay (WTP) for travel time savings, and contrast it with the results from a model specification in which all attributes are assumed to be attended to and are not added up with parameter preservation. We find that the WTP is significantly higher, on average, than the estimate obtained from the commonly used full relevance and attribute preservation specification.     

Patterns of poverty among elderly Americans: a latent class Markov model

This article studies poverty persistence and the role of social security programmes on poverty among elderly in the US. We use a Latent Markov model to disentangle unobserved heterogeneity and state dependence. Because of its dynamic nature, unobserved heterogeneity is modelled to vary over time. This allows to capture different latent states of poverty that change over time. Result indicates the existence of three unobserved types evolving over time according to their propensity to be poor. Moreover, a strong persistence in poverty especially for women, individuals living alone and ethnic minorities is found. Finally, the estimates indicate that giving social assistance tends to reduce poverty.     

Identification of strategies to improve goat marketing in the lowlands of Ethiopia: a hedonic price analysis

This article aims at identifying factors that determine market prices of goats and analyse potential mechanisms by which smallholder goat producers could maximize their benefits. Data on 357 farm households and 2103 goat transactions were collected in three major goat markets in the lowlands of Ethiopia. Hedonic price models adjusted for heteroscedasticity were employed to analyse the observed price data. Model results showed the relative importance of different factors in determining goat prices. Animal attributes including age, sex, live weight, body condition and presence of horn as well as types of buyer and market outlet targeted and time of selling were found to be important. Particularly, goats marketed during festive periods where demand for meat increases (e.g. Ethiopian New Year) command higher prices. These results imply that interventions such as systematic selection schemes targeting traits demanded by the market, improved linkages to markets, easy access to market information systems and creating conducive environment including incentive mechanisms can enhance smallholder farmers’ and pastoralists’ ability to take advantage of seasonal and spatial price changes and become market responsive with effective marketing strategies. Such changes can be potent in improving the livelihoods of smallholder farmers and pastoralists.     

Valuing improvements in urban water security: evidence of heterogeneity derived from a latent class model for eastern Australia

In many Australian cities the response to drought has included the imposition of mandatory constraints over how water is used by households, often termed ‘water restrictions’. A similar rationing approach has been witnessed in California’s recent drought. The aim of water restrictions is to slow the depletion of water storage but restrictions have also been criticized for the costs they impose on specific water users. In order to gain insight into the potential magnitude of the cost of water restrictions, this study uses a choice experiment to investigate the non-market values for specific attributes associated with the outcomes of drought restrictions. This information was sought to understand the community’s willingness to pay for attributes related to the extent, frequency and duration of water restrictions. The article reports a latent class choice model for a major city in eastern Australia and investigates heterogeneity in preferences towards increasing water availability during drought. This study departs from the existing literature by conducting the choice experiment in a context where water supply is relatively abundant. This unique framing of the choice experiment allows for a useful comparison with existing studies and also raises challenges about the interpretation of the data for planning purposes.     

Predicting technical effciency in stochastic production frontier models in the presence of misspecification: a Monte-Carlo analysis

This paper provides a theoretical explanation for the sensitivity of technical efficiency measures to the choice of functional specification in stochastic production frontier models. It is shown that inappropriate functional specifications translate into a misspecification in the conditional mean of the stochastic frontier regression model. This misspecification, in turn, results in estimates of technical efficiency, confidence intervals and production elasticities being biased, even asymptotically. Monte-Carlo simulations reveal that the severity of the bias depends on the functional specification and the percentage contribution of the variance of technical inefficiency to the total variance of the composed errors.     

An investigation into the interdependence of global water indices: a VAR analysis

We investigate the extent and manner of equity price interdependence among four water indices – World Water Index, S-Network Global Water index (S-Net), S&P Global Water Index (S&P) and MSCI ACWI Water Utilities Index (MSCI ACWI) using the vector autoregression (VAR) framework for the period 2004–2014. We also employ methods of Granger causalities, variance decomposition and impulse responses. We find Granger causality significance between S-Net and MSCI ACWI and S-Net and S&P indices at the 1% level of significance, suggesting that the indices are significantly linked. Further, S-Net is the most influential index amongst them in the forecast variance that can be accounted by S-Net at level of 55.75%. Our study indicates that the four water indices are interdependent and related, so the water indices are influenced by movements in the other water indices.     

An empirical analysis of remittance flows into West African Economic and Monetary Union: a panel time-series approach

The article empirically analyses the motivations and long-run economic outcomes of remittance inflows into the West African Economic and Monetary Union. Using Westerlund’s (2007) ECM for panel time series and data spanning 1975–2011, the results show that there is no evidence of a long-run impact of remittances on income per capita in the region. The inflows seem to be motivated by investment, but the money may be used to promote consumption instead. This phenomenon could be characterized by information asymmetry between migrants and the recipients.     

Using the functional analysis to understand the emergence of biomaterials within an existing biotechnology system: observations from a case study in Turkey

ABSTRACT

The paper applies a functional approach to the analysis of an emerging technology within an innovation system (IS) in a developing country. By doing so, the paper identifies the advantages and drawbacks of the approach through a dynamic analysis and highlights the life cycle of an IS within which a new technology is emerging. This is done empirically by analysing the emergence of biosimilars within the infant Turkish biotechnology system mainly from the perspective of firms. Our analysis of the Turkish case illustrates how the tool of functional approach could be valuable in understanding the dynamics of a technology in a developing country context. Policy suggestions and implications of the study are presented as concluding remarks.     

The association between smoking cessation outpatient visits and total medical costs: a retrospective,observational analysis of Japanese employee-based public health insurance data

Aims: The short-term effects of smoking cessation (SC) on overall healthcare costs are unclear. This study aimed to compare the short-term medical costs between patients with SC outpatient visits (SCOVs) and those without SCOVs, consisting of SCOV itself and overall medical costs.

Materials and methods: This study is a retrospective, observational study using a Japanese employee-based health insurance claims database (January 1, 2005–December 31, 2013). It analyzed individuals who were registered as smokers based on their medical checkup details. It compared the per-patient-per-year (PPPY) medical costs for male smokers who made ≥1 claim for SCOVs with those who made no claims. We also assessed whether the number of SCOVs by male and female smokers impacted medical costs. The Index Year was the year after the first SCOV claim and that after the first registration as a smoker (non-SCOV group). Medical costs were calculated using regression analysis and adjusted for baseline costs.

Results: In Index Year ?1, PPPY medical costs for male smokers were ～USD 323.01 (JPY 36,500, as of November 2017) higher in the SCOV (n?=?5,608) vs the non-SCOV (n?=?81,721) group; however, by Year 6 the costs were similar. From Year 4–6, PPPY medical costs for SCOVs were lower than those in the adjusted non-SCOV group. For 2,576 male and female smokers in the SCOV group, the average rates of increasing medical costs before and after the SCOV for 1, 2, 3, 4, and 5 SCOVs made were 58%, 44%, 50%, 41%, and 34%, respectively.

Limitations: The database includes limited data on individuals >65 years. Only SCOVs based on claims data and not on other outcomes were assessed.

Conclusions: Medical costs declined in the short-term following the first SCOV. Attendance at a greater number of SCOVs was associated with a lower increase ratio of medical costs.     

The burden of illness of hepatorenal syndrome (HRS) in the United States: a retrospective analysis of electronic health records

Objectives: Hepatorenal Syndrome (HRS) is characterized by renal failure in patients with advanced chronic liver disease (CLD) and is the leading cause of hospitalizations in CLD. This study examines the clinical and economic burden, outcomes, and unmet need of HRS treatment in US hospitals.

Method: A retrospective cohort study was conducted based on a large electronic health records database (Cerner HealthFacts) with records for hospitalized HRS patients from January 2009–June 2015. Demographics, clinical characteristics, treatment patterns, and economic outcomes were analyzed. Prognostic indicators of cirrhosis, kidney injury, end-stage liver disease, and acute-on-chronic liver failure were used to determine mortality risk.

Results: A total of 2,542 patients hospitalized with HRS were identified (average age = 57.9 years, 61.8% males, 74.2% Caucasian), with an average total hospital charge of $91,504 per patient and a mean length of stay (LOS) of 30.5?days. The mortality rate was 36.9% with 8.9% of patients discharged to hospice. Of all patients, 1,660 patients had acute kidney injury, 859 with Stage 3 disease, and 26.7% had dialysis. The 30-day readmission rate was 33.1%, 41% of which were unplanned. Nearly one-third of study patients had commercial insurance (30.2%), followed by Medicare (29.9%); hospital charges varied by LOS, receipt of dialysis, and discharge status. Regression analysis demonstrated that HRS costs are associated with LOS, dialysis, and hospital mortality.

Conclusion: HRS is associated with poor outcomes and high hospital costs. Analysis of HRS cost drivers demonstrated an unmet need for additional treatment options to improve outcomes in this patient population.