Probing cultural differences in product design and consumer evaluation using repertory grid analysis

International Journal of Technology and Design Education - Culture plays an essential role in the success of product design, especially in the age of a global economy where there is a high...     

Decomposing the changes in poverty: Poverty line and distributional effects

When measuring poverty in developed countries, the poverty line used to identify the poor is usually relative and set as a percentage of the median (or of the mean) of the total income. In consequence, when poverty is analyzed over a period of time, changes in the poverty level depend on the impact of evolving standards. To eliminate this effect, sometimes, an anchored poverty line is used. Furthermore, changes in the mean of the distribution and in the inequality among the poor may also affect the poverty levels. This note proposes a decomposition of the changes in poverty as the sum of four terms. The first two reflect the impact in poverty of changes in living standards and the other two measure the effect of the distributional growth and redistribution. This decomposition will help policymakers in the implementation of a more specific antipoverty agenda. An application with data from the European Union Survey on Income and Living Conditions shows the potential of the decomposition proposed.     

Why Can't I Trade? Exchange Discretion in Calling Halts*,†

Stock exchanges are important intermediaries in how firm information enters price. Trading halts are a key tool, often exercised at the exchanges' discretion, to prevent extraordinary price volatility when new information arrives. We investigate how exchanges use discretion and whether the discretion alters the effectiveness of the halts. We provide evidence consistent with halts reflecting the preferences of listed firms rather than the stated exchange objectives (i.e., minimizing excess volatility and off-equilibrium trades). Furthermore, when exchanges exercise more discretion (unexplained by firm and information characteristics), the halts are less effective. Specifically, halts with more discretion are less likely to resume trading with efficient prices and are more likely to have been called unnecessarily (i.e., little to no price movement during the halt). These findings are consistent with exchanges using halts to cater to listed firms rather than to meet exchange objectives such as minimizing excess volatility or avoiding trades at off-equilibrium prices.     

A continuous-time model of self-protection

Finance and Stochastics - This paper deals with an optimal linear insurance demand model, where the protection buyer can also exert a time-dynamic costly prevention effort to reduce her risk...     

Income disclosure and consumer judgment in a multilevel marketing experiment

Consumer protection concerns have been raised related to income misrepresentation in multilevel marketing (MLM) recruitment. Though not required by law, some MLM firms choose to voluntarily disclose income information about previous participants. Through replication and extension of the experiment created in Bosley, Greenman, and Snyder (2020), we investigate the impact of these disclosures on consumer interest and earnings expectations. We test the external validity of their findings with subjects from Mechanical Turk and explore issues regarding treatment heterogeneity and better-than-average bias. Supporting prior findings, we present evidence that income disclosures, on average, do not significantly affect subjects' interest in the MLM opportunity, but they do decrease earnings estimates for most while increasing earnings estimates for a few. These effects depend on a subject's numeracy skills and whether they see their earnings potential as better-than-average. We also find that asking about earnings estimates first tends to decrease interest.     

Overcoming data barriers in spatial agri-food systems analysis: A flexible imputation framework

Suppressions in public data severely limit the usefulness of spatial data and hinder research applications. In this context, data imputation is necessary to deal with suppressed values. We present and validate a flexible data imputation method that can aid in the completion of under-determined data systems. The validations use Monte Carlo and optimisation modelling techniques to recover suppressed data tables from the 2017 US Census of Agriculture. We then use econometric models to evaluate the accuracy of imputations from alternative models. Various metrics of forecast accuracy (i.e., MAPE, BIC, etc.) show the flexibility and capacity of this approach to accurately recover suppressed data. To illustrate the value of our method, we compare the livestock water withdrawal estimations with imputed data and suppressed data to show the bias in research applications when suppressions are simply dropped from analysis.     

Marketing insights from text analysis

Language is an integral part of marketing. Consumers share word of mouth, salespeople pitch services, and advertisements try to persuade. Further, small differences in wording can have a big impact. But while it is clear that language is both frequent and important, how can we extract insight from this new form of data? This paper provides an introduction to the main approaches to automated textual analysis and how researchers can use them to extract marketing insight. We provide a brief summary of dictionaries, topic modeling, and embeddings, some examples of how each approach can be used, and some advantages and limitations inherent to each method. Further, we outline how these approaches can be used both in empirical analysis of field data as well as experiments. Finally, an appendix provides links to relevant tools and readings to help interested readers learn more. By introducing more researchers to these valuable and accessible tools, we hope to encourage their adoption in a wide variety of areas of research.

     

Do house prices affect campaign contributions?

Individual campaign contributions are the largest source of financing for U.S. presidential and congressional candidates, though the body of research examining why people give remains small. To help understand these decisions, we estimate the causal impact of house prices on donations across campaigns and parties using an instrumental variables strategy. Our results indicate that an increase in house prices increases ZIP code-level donations to Democratic presidential and congressional candidates, with minuscule or no effect for Republican candidates. The effects in areas with a greater proportion of renters are larger than areas with more homeowners. Since this population is likely to experience higher rents as a result of house price increases, this suggests that pleas for policy may inspire giving. Further, areas with the highest fraction of college educated residents also see the largest effects, when compared to less-educated areas, suggesting a wealth effect exists as well.     

Exploring the potential of SMEs to build individual,organizational, and community resilience through sustainability-oriented business practices

Small- and medium-sized enterprises (SMEs) can have significant resources, capacities, and influence in their communities, suggesting they have the potential to be agents for transformative sustainability. However, SMEs will need to move beyond firm-centered sustainable business practices towards strategic approaches that encompass and contribute to resilience-building processes. Amid the unfolding COVID-19 pandemic, we explored what types of sustainable business practices of SMEs can contribute to individual, organizational, and community resilience. We identified six clusters of practice that are important in this regard. The clusters are not solely technical or “environmental” but rather illustrative of deeper sustainable values shaped by organizational structure, culture, and behavior. This paper suggests that SMEs can pursue transformative approaches to sustainability that are more environmentally, socially, and economically sustainable and better able to withstand shocks like the COVID-19 pandemic and can be significant contributors to community resilience. We conclude with a series of future research priorities critical to examine a largely unexplored nexus in the private sector, the linkages and dynamics between sustainability practice, resilience building, and broader community pathways.     

Historical grounding,political contexts,material hurdles: Towards more in-depth understandings of ‘finance going farming’

Two recently published books—Fairbairn's Fields of Gold and Ouma's Farming as a Financial Asset—now provide the first extensive investigations into finance's engagement with farmland. Both books set out to understand finance's growing interest in farmland from the perspective of the financial actors involved, and inquire how, why, and with what kind of challenges ‘finance has been going farming.’ This review essay discusses the two books in the context of the ‘land rush’ literature. It outlines how they contribute to an advanced understanding of the financialization of farmland in three ways, by (i) embedding finance-farmland intersections historically; (ii) scrutinizing the role of the state within financial farmland investments; and (iii) exploring the hurdles involved in ‘marrying’ finance with farmland. I then critically reflect on the areas that have not been covered by the authors. Critical agrarian studies need to investigate how financialization intersects with the digitization of agriculture, examine life expectancies and afterlives of financialized farms, further ground financial investment in concrete rural spaces, and explore individual motivations and belief systems of its proponents more seriously.