The food neophobia scale and young adults’ intention to eat insect products

In the coming years, the new EU Regulation on Novel Food is likely to facilitate the development of a niche market for insects and insect‐based ingredients in many European countries. In this research, the aim is to explore the relationship between willingness to try (WTT) and behavior of eating insects, where the independent variables are food neophobia, sensory property expectations, and previous consumption. In total, 88 Italian participants took part in the study. The food neophobia scale (FNS) was constructed using 9 of the 10 items from the original FNS, and a Structural Equation Modeling approach was used to test the research hypotheses. The results show that males are more open to trying insects than females, and food neophobia is negatively correlated with the willingness to eat insects. Findings also indicate that the first exposure to insects positively increases consumers’ sensory property expectations. Intention to try is a strong predictor of the behavior of eating insects. People who scored lower on the FNS were more likely to try (intention) and consequently eat insects (behavior). These findings enhance knowledge about factors which could lead to lower levels of negative prejudice and greater willingness to taste edible insects among Western consumers. Finally, some marketing implications are discussed, like the need of information campaigns to emphasize positive sensory attributes of edible insects to increase the WTT this unfamiliar food.     

Fitting dynamic factor models to non-stationary time series

Factor modelling of a large time series panel has widely proven useful to reduce its cross-sectional dimensionality. This is done by explaining common co-movements in the panel through the existence of a small number of common components, up to some idiosyncratic behaviour of each individual series. To capture serial correlation in the common components, a dynamic structure is used as in traditional (uni- or multivariate) time series analysis of second order structure, i.e. allowing for infinite-length filtering of the factors via dynamic loadings. In this paper, motivated from economic data observed over long time periods which show smooth transitions over time in their covariance structure, we allow the dynamic structure of the factor model to be non-stationary over time by proposing a deterministic time variation of its loadings. In this respect we generalize the existing recent work on static factor models with time-varying loadings as well as the classical, i.e. stationary, dynamic approximate factor model. Motivated from the stationary case, we estimate the common components of our dynamic factor model by the eigenvectors of a consistent estimator of the now time-varying spectral density matrix of the underlying data-generating process. This can be seen as a time-varying principal components approach in the frequency domain. We derive consistency of this estimator in a “double-asymptotic” framework of both cross-section and time dimension tending to infinity. The performance of the estimators is illustrated by a simulation study and an application to a macroeconomic data set.     

The notion of equilibrium in economic theorizing

Presidential Address at the Thirty-First International Atlantic Economic Conference, March 15–22, 1991, Rome.     

Conducting Mode 2 research in HRM: A phase‐based framework

Recent studies in the field of human resource management (HRM) have highlighted that current research is mostly performed and consumed by academics, and is driven by theoretical and disciplinary concerns rather than practical ones. This debate has invoked the need to produce more Mode 2 research in the HRM field, that is, research driven by practical problems that integrate collaborative efforts by academics and practitioners. Yet, guidelines on how academics and practitioners may implement Mode 2 research remain disjointed and incomplete. Our study provides a phase‐based collaborative‐based framework for the implementation of Mode 2 research in the HRM field, in ways that both academic rigor and practical relevance are achieved. Our framework is informed by a comprehensive review of previous Mode 2 research, within and outside the HRM field. The proposed framework details four macro‐phases: the codevelopment of research questions with practitioners; the design of collaborative spaces and mechanisms; the design and management of double‐loop iterative research processes; and finally the academic and practice legitimization of Mode 2 outcomes. Our framework has the objective to support HRM researchers and practitioners, as well as relevant institutions and gatekeepers in the design, implementation, education, and assessment of Mode 2 research.     

Challenges in approximating the Black and Scholes call formula with hyperbolic tangents

Decisions in Economics and Finance - In this paper, we introduce the concept of standardized call function and we obtain a new approximating formula for the Black and Scholes call function through...     

Unobservable skill dispersion and comparative advantage

This paper investigates a theoretical mechanism linking comparative advantage to the distribution of skills in the working population. We develop a tractable multi-country, multi-industry model of trade with unobservable skills in the labour market and show that comparative advantage derives from (i) cross-industry differences in the substitutability of workers' skills and (ii) cross-country differences in the dispersion of skills. We establish the conditions under which higher skill dispersion leads to specialization in industries characterized by higher skill substitutability across tasks. The main results are robust when the model is extended to allow for partial observability of skills. Finally, we use distributions of literacy scores from the International Adult Literacy Survey to approximate cross-country productivity differences due to skill dispersion and we carry out a quantitative assessment of the impact of skill dispersion on the pattern of trade.     

Numerical evaluation of the critical price and American options

An approximate solution to the American put value is proposed and implemented numerically. Relaxation techniques enable the critical price to be determined with high accuracy. The method uses a modification of the quadratic approximation of MacMillan and Barone-Adesi and Whaley which gives an expression for the critical price. Numerical experimentation and iterative methods quickly provide highly accurate solutions.     

Non-market valuation of forest goods and services: Good practice guidelines

The European COST Action E45 on European Forest Externalities (EUROFOREX) participants developed a set of good practice guidelines for the non-market valuation of forests, elaborating on stated and revealed preference methodologies, as well as benefit transfer and meta-analytical procedures. This article presents a summary of the guidelines.     

An alternative procedure for imputing missing data based on principal components analysis

This work entailed tackling the significant problem of missing data which was solved by identifying a new substitution procedure, following an empirical approach based on the analysis of the information contained in the entire set of data collected. This procedures offers a number of advantages compared to other techniques commonly mentioned in the statistical–methodological literature.