Effect of technological and digital learning resources on students' soft skills within remote learning: The mediating role of perceived efficacy

The study analyses the effects of the technological and digital learning resources (DLRs) on the development of students' soft skills (SSk) in remote learning, mediated by the perceived efficacy of students in this modality of education. The study employed a survey research method, and the data were collected through a self-administered questionnaire. Participants included 637 students experiencing remote learning during the second COVID-19 lockdown in the north of Portugal (between 1 and 15 March 2021). The structural equation modelling analysis technique tested the hypothesized model. The study showed that technological and DLRs were strongly interconnected. The results supported our hypotheses, evidencing that, in remote learning, the adequacy of DLRs had a direct effect on the development of SSk, presenting the efficacy perceived by the students as a mediator of this relationship. The study demonstrated that, with the experience of remote learning, students perceived the development of their SSk, which is consistent with the literature review we carried out. Implications of these findings are discussed, considering the literature on technology-mediated learning and the development of human resources SSk in the context of the digital transition.     

Anti-money laundering and financial fraud detection: A systematic literature review

Money laundering has affected the global economy for many years, and there are several methods of solving it presented in the literature. However, when tackling money laundering and financial fraud together there are few methods for solving them. Thus, this study aims to identify methods for anti-money laundering (AML) and financial fraud detection (FFD). A systematic literature review was performed for analysis and research of the methods used, utilizing the SCOPUS and Web of Science databases. Of the 48 articles that aligned with the research theme, 20 used quantitative methods for AML and FFD solution, 13 were literature reviews, 7 used qualitative methods, and 8 used mixed methods. This study contributes by presenting a systematic literature review that fills two research gaps: lack of studies on AML and FFD, and the methods used to solve them. This will assist researchers in identifying gaps and related research.     

Are covered bonds different from securitization bonds? A comparative analysis of credit spreads

This study compares credit spreads and pricing determinants of securitization vis-à-vis covered bonds. Our analysis reveals that although ratings are the most important pricing determinant for asset-backed securities (ABS) and mortgage-backed securities (MBS) investors place relatively more importance on contractual, macroeconomic and banks' characteristics rather than ratings in pricing covered bonds. We find evidence of a mispricing effect in structured finance markets: ABS and MBS have higher credit spreads than similarly rated public-covered bonds and mortgage-covered bonds and security prices reflect information beyond credit ratings. We find no evidence of borrowing costs affecting banks' choice between securitization and covered bonds.     

A story to sell: The influence of storytelling on consumers' purchasing behavior

Storytelling can arouse consumers' emotions and affect purchasing behavior through desires and attitudes. While the marketing literature discusses storytelling, there is a lack of consensus because of the diverse conceptual and operational definitions used. To untangle the complexities and consolidate the fragmented knowledge about storytelling in marketing, this research examines how the marketing literature has addressed the influence of storytelling on consumers' purchasing behavior. The findings aid in understanding how the topic has been discussed from a marketing perspective in consumer behavior studies. Through a systematic literature review using a bibliometric analysis, we demonstrate that the marketing literature features four strands about the uses of storytelling to influence consumers' purchasing behavior. First, storytelling stimulates the consumer's identification with the brand. Second, storytelling allows consumers to experience emotional value. Third, storytelling supports engagement behaviors. Finally, storytelling has a downside in that it also propagates harmful speech. This study concludes with a roadmap for future research about how storytelling impacts consumers' purchasing behavior.     

Rules versus discretion in Central Bank communication

We propose a theoretical framework to study Central Bank communication and to assess the benefits of commitment to a disclosure rule. Our model features a coordination environment, where agents have dispersed private information and their interests are not aligned with those of the Central Bank. Public information can lead to undesirable coordination among agents. We show that anything goes when the Central Bank cannot commit; both its most and least preferred outcomes can be supported in equilibrium, and so can anything in between. We find that commitment does not necessarily implement the Central Bank's most preferred outcome. However, the Central Bank can avoid the least desirable outcomes by choosing an information structure with only two messages that act as action recommendations for agents. Furthermore, our results suggest a higher correlation between fundamentals and outcomes under commitment.     

Creativity over time and space

Creativity is often highly concentrated in time and space, and across different domains. What explains the formation and decay of clusters of creativity? We match data on notable individuals born in Europe between the eleventh and the nineteenth centuries with historical city data. The production and attraction of creative talent is associated with city institutions that protected economic and political freedoms and promoted local autonomy. Instead, indicators of local economic conditions such as city size and real wages, do not predict creative clusters. We also show that famous creatives are spatially concentrated and clustered across disciplines, that their spatial mobility has remained stable over the centuries, and that creative clusters are persistent but less than population.

     

Profitability and size of newly established firms

International Entrepreneurship and Management Journal - Does size matter for new firms and do they need to be large to be profitable? From small to large firms, a wide range of arguments have...     

The entanglement of time and cost deviations in public projects

There is growing concern regarding cost and time overruns in public projects. However, despite the extensive literature on the subject, there is relatively little research on the impact of time overruns on cost overruns. This study assesses whether larger time deviations can lead to larger cost deviations. Our hypothesis is that a project with a time overrun is more likely to also have a cost overrun. The authors used a sample of 208 projects in Portugal, with data collected from the Portuguese Court of Auditors. Using the data, a number of econometric models were developed: Ordinary Least Squares, Generalized Linear Model, Tobit, and Probit. The instrumented variables and structural equation modelling techniques were applied to address potential endogeneity in the data. The analysis was controlled for factors such as political, governance, economic, and project variables. The results suggest that larger time deviations are associated with larger cost deviations. The inference is that projects that take longer to complete also tend to suffer from cost overruns.     

The state of Portuguese research in economics: 20 years after

Portuguese Economic Journal - In this paper we look at the state of Portuguese research in economics, with an emphasis on the 2000–2019 period. For this purpose we use three distinct data...     

Density forecasting with Bayesian Vector Autoregressive models under macroeconomic data uncertainty

Macroeconomic data are subject to data revisions. Yet, the usual way of generating real-time density forecasts from Bayesian Vector Autoregressive (BVAR) models makes no allowance for data uncertainty from future data revisions. We develop methods of allowing for data uncertainty when forecasting with BVAR models with stochastic volatility. First, the BVAR forecasting model is estimated on real-time vintages. Second, the BVAR model is jointly estimated with a model of data revisions such that forecasts are conditioned on estimates of the ‘true’ values. We find that this second method generally improves upon conventional practice for density forecasting, especially for the United States.