A Skew‐normal copula‐driven GLMM

This paper presents a method for fitting a copula‐driven generalized linear mixed models. For added flexibility, the skew‐normal copula is adopted for fitting. The correlation matrix of the skew‐normal copula is used to capture the dependence structure within units, while the fixed and random effects coefficients are estimated through the mean of the copula. For estimation, a Monte Carlo expectation–maximization algorithm is developed. Simulations are shown alongside a real data example from the Framingham Heart Study.     

Role of monetary policy in a New Keynesian economy: a note from a laboratory experiment

This paper discusses an experimental study on the role of monetary policy within a New Keynesian macroeconomic framework. The novelty of this article is that each subject was asked to forecast both the inflation rate and output gap at the same time one period ahead, which is an improvement over the existing literature. We find that if both the expected inflation rate and expected output gap is incorporated in the monetary policy rule then inflation can be anchored and stabilized more efficiently.     

The future of fintech

This article describes the growing field of financial technology (fintech) and the different financial paradigms and technologies that support it. Fintech is primarily a disintermediation force where disruptive technologies are the drivers. This framework discusses 10 primary areas in fintech comprising a taxonomy, which categorizes research in the field and also proposes a pedagogical structure. Pitfalls of fintech are also analyzed. Overall, the great strides made in computing technology, mathematics, statistics, psychology, econometrics, linguistics, cryptography, big data, and computer interfaces have combined to create an explosion of fintechs.     

E-commerce sellers' ratings: Is user feedback adequate?

The literature on the theory of public procurement points out two well-known informational problems arising out of information asymmetry: (i) adverse selection and (ii) moral hazard. To reduce these issues and foster credibility and trust in the procurement process while maintaining quality and efficiency in public procurement, e-procurement platforms have turned to reputation or rating systems. Therefore, the research and design of such rating systems are crucial. In this study, we discuss the theoretical underpinnings of procurement and employ the information-theoretic, regression analysis, artificial neural network and principal component analysis (PCA) approaches to estimate the weights of the variables entering the rating system. Using real data from Government e-Marketplace, a business-to-business public e-commerce portal, we empirically determine the weights of the rating variables derived from the transaction-level and user feedback data for sellers. The weights obtained from the PCA are the most applicable compared with the other three methods. We compare the old rating system with the newly proposed design using the Wilcoxon signed-rank test. This results in a statistically significant difference between the two ratings. The canonical correlation and Wilks' trial reveal that the ratings derived from transaction-level data and user feedback are uncorrelated to a great extent. Hence, considering only transaction-level data or user feedback is unlikely to divulge sellers' intrinsic worth. E-commerce platforms can use this approach to quickly implement methods to obtain rating scores on a real-time basis for sellers on online platforms.     

Long COVID? Prospects for economic scarring from the pandemic

This paper examines the potential persistent effects (scarring) of the COVID-19 pandemic on the economy and the channels through which they may occur. Our findings from a broad set of historical recessions confirm that recessions are associated with persistent output losses and that the greatest scarring has occurred following financial crises. The amount of scarring following pandemic and epidemic recessions in the sample is in between that of typical recessions and financial crises. Results on the channels show that the productivity channel is important, as all types of recessions have been followed by persistent losses to total factor productivity.     

Occupational sex segregation in agriculture: Evidence on gender norms and socio-emotional skills in Nigeria

Occupational sex segregation is a key driver of the gender gap in earnings. Using data from 11,691 aspiring agribusiness entrepreneurs in Nigeria, this article explores factors that drive sectoral choice, gender differences in the choice decision, and especially the role played by norms around gender roles. When given a choice of 11 agricultural value chains in a government program, we find the majority (54 percent) of the applicants chose to enter into the poultry value chain, and women were more likely to choose poultry than men. This article finds evidence of more restrictive gender norms in Northern Nigeria states, which lowers women's likelihood of entering into agricultural value chains where the potential for profit may be higher. The gender bias in sectoral choice is also attributed to differences in work experience especially in agricultural activities and in the chosen value chain, as well as in land ownership. Women with more experience in male-dominated agricultural value chains exhibit lower self-efficacy, which could reflect the challenges they face when deviating from social norms to operate within nontraditional value chains.     

Probabilistic assessment of external sustainability in Portugal

Portuguese Economic Journal - Portugal is one of the most externally indebted economies in the eurozone. The deeply negative net international investment position (NIIP) suggests that large current...     

Exploring entrepreneurial intention among engineering students in India: a multiple basket approach

International Journal of Technology and Design Education - In the light of Bandura’s (Social foundations of thought and action: a social cognitive perspective, Princeton-Hall, Englewood...     

Entry Deterrence,Concentration, and Merger Policy

Review of Industrial Organization - In merger enforcement, entry is considered to be a factor that potentially can mitigate otherwise anti-competitive effects of a merger. The current framework for...     

Digital Privacy: GDPR and Its Lessons for Australia

Australia's Privacy Act 1988 is under review with a view to bringing Australia's privacy laws into the digital era, more in line with the European Union's General Data Protection Regulation (GDPR). This article discusses how the GDPR can be refined and standardised to be more effective in protecting privacy in the digital era while not adversely affecting the digital economy that relies heavily on data. We argue that an ideal data policy should be informative and transparent about potential privacy costs while giving consumers a menu of opt-in choices into which they can self-select.