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This paper aims to investigate the cyclical associations among energy prices and key macroeconomic variables for the USA.

To this end, the recently developed Hamilton filter (HF) and the oft-used Hodrick–Prescott filter (HPF) are used. The two methods produce starkly different results regarding the relationships between energy prices on the one hand and output and employment on the other.

While the HF suggests that energy prices are acyclical, the HPF suggests they are procyclical. However, the associations between energy prices and inflation are robust across the two methods, indicating that energy prices are strongly correlated with – and lead – the consumer price index (CPI). Furthermore, unlike the results produced by the HPF, those produced by the HF are robust across seasonally adjusted and unadjusted data.

Given the inherent seasonality in energy prices and the differences in the underlying processes that generate macroeconomic and energy prices, the results obtained from the HPF filter should be interpreted with caution.

To the best of the authors’ knowledge, this is the first study that uses the recently developed HF to examine the associations between the cyclical behaviors of three key macroeconomic variables in the USA – the industrial production index, the CPI, and total nonfarm employment – and the prices of natural gas, crude oil, gasoline, diesel, and heating oil. Second, this study presents a comparison of the results produced by the two filtering techniques. Third, recognizing that energy prices are characterized by seasonality, this study tests the robustness of the results produced by the two filters across seasonally adjusted and unadjusted data.

The purpose of this paper is to investigate the interlinkages among four major stock markets in Latin America, i.e., those in Argentina, Brazil, Chile, and Mexico, as well as their associations with the US stock market, which influences financial markets globally.

Using the newly developed Hamilton filter methodology (Hamilton, 2018), the authors decompose each stock series to extract cyclical components.

Results indicate that the US S&P 500 is weakly contemporaneously correlated with stock market indices in Brazil, Mexico and Argentina, whereas it also leads the latter by three months. As such, sufficient time is available for policymakers and investors to enhance their forecasts of the latter.

Results indicate that the US S&P 500 is weakly contemporaneously correlated with stock market indices in Brazil, Mexico and Argentina, whereas it also leads the latter by three months. As such, sufficient time is available for policymakers and investors to enhance their forecasts of the latter.

Interest in the field of entrepreneurship has significantly increased among academics, practitioners and government officials in the past decade both in the USA and in Europe. The increased interest is reflected in the increased number of courses, majors and minors at colleges and universities throughout the world; the increased number of endowed chairs; the increased number of journals in the field; the increased coverage of the field by the media; and the increased interest in the provision of government support. In light of this significant increased interest, it is important to understand the state of research in the field in Europe in the last few years, the focus of this article.

Student mobility from the south to the north/centre of Italy is an increasingly crucial topic because the most important consequence is the continual depletion of universities situated in the southern regions. Using micro-data from the Italian Ministry of Education, University and Research (MIUR), the purpose of this paper is to investigate how contextual factors affect this mobility.

Empirical evidence is provided by developing a multilevel logit model of student decisions to move at university enrolment that allows us to identify the unique effects that student and province characteristics have on out-migration. Multilevel analysis is appropriate because the research questions focus on the role of province characteristics, variables that are measured at the macro level, on student-level outcome (out-migration) while controlling for student-level characteristics, variables that are measured at the micro level.

The present paper intends to contribute to the literature by quantifying the way in which contextual factors affect student mobility from the south to the north/centre of Italy. Findings show that province differences remain significant even after controlling for individual characteristics stressing the importance of the geographical dimension for student mobility. These findings have important policy implications for the future of university system in Italy.

This paper is relevant to the literature concerning this issue because most of the empirical applications are based on spatial models that do not take into account individual characteristics of the students. In addition, the multilevel methodology proposed can be easily generalise to other countries.

This paper aims to predict a college football team’s competitiveness using physical resources, human resources and organizational resources.

Guided by the resource-based theory, the study used archival data of 101 college football teams. The dependent variable was competitiveness (indicated by win-loss records), the independent variables were physical resources (operationalized as home attendance and total revenues), human resources (measured as coaches’ salary and coaches’ experience) and organizational resources (specified as conference rankings and the number of sports). Kendall Tau correlation and binary logistic regression were used to examine the associative and predictive competitive advantages.

The binary logistic regression model showed an overall percentage predictive correctness of 71.3%, with a Negelkerke R² of 41.1% of the variance of all predictors – with coaches’ experience, total revenues and home attendance being the best predictors of generating competitive advantages that produced superior win-loss records.

The research focused exclusively on physical, organizational and human resources as sources of competitive advantage and not physiological and/or psychological variables.

College football teams aspiring to be competitive may benefit from this study by applying a three-fold strategy of hiring well-paid high performing and experienced coaches who can increase attendance and revenues.

The study was unique in two ways – one, it made clear the positive significance of coaches’ experience as a source of competitive advantage, and second, it highlighted the catalytic effects of revenues and attendance in fueling competitiveness.

Focusing on the sociological clarification based on structural pluralism, this study explores the degree to which social media users who comment on the news posts of local newspapers use uncivil remarks and words that reflect their moral foundations.

This computer-assisted data collection produces three types of datasets that include numerous social media comments. To explore the association between moral foundations and incivility, both quadratic association procedure (QAP) and multiple regression QAP (MRQAP) are implemented.

The findings suggest that social media users who comment on the news posts of urban-located newspapers tend to use more uncivil words compared to social media users who comment on the news posts of suburban and rural-based newspapers. Individuals who comment on the news posts of urban-based newspapers tend to show a wider range of moral foundation spectrums than those who comment on the posts of rural and suburban newspapers. Lastly, there are significant associations between moral-vice components and incivility in response to urban- and suburban-located newspapers' social media posts.

The employed bag-of-words may not completely capture incivility given that social media users can use nuanced and metaphoric terms instead of explicitly uncivil terms. Even though this study systematically selected local newspapers' social media accounts, the contextual factors of other newspapers in politically slanted communities could be different.

The findings of this study provide meaningful and practical implications for journalists and news reporters. The inherent rudeness and aggressiveness of social media users can drive them to use uncivil and moral-harm words against a particular person or group.

Under the circumstance that fake news and politically slanted news content are widely distributed in the United States, social media users may easily express negative emotions toward news stories or the journalists who post the stories.

Structural pluralism particularly specializes in explaining why and how the contextual factors of news stories differ depending on community complexity. Building on the reasoning of structural pluralism in the social media context, this study investigates the degree to which social media users who comment on the news posts of local newspapers employ uncivil remarks and moral foundation words.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-11-2020-0522.

This study aims to examine the effect of economic growth and the moderating impact of inflation on financial development (FD) for six South Asian Association of Regional Countries (SAARC)es during the period of 1990–2020. Besides, the inflation threshold level and FD index are also estimated.

This study uses several cross-sectional dependency tests, pooled mean group and panel fully modified least squares method. This study also makes use of principle component analysis in index construction.

The results indicate that economic growth positively impacts regions’ FD. The mediating term has a negative impact on FD when the inflation rate rises. The finding indicates after the 3.5% threshold limit, inflation changes its positive effect on FD. The constructed index is a superior measurement of FD because it controls measurement sensitivity and offers significant results.

To the best of the authors’ knowledge, this is the first empirical study in the context of SAARC to analyse the interaction effect of inflation on the growth–finance relationship. This study’s novelty is further ensured by estimating the threshold level of inflation and construction index.

This study aims to investigate the impact of financial inclusion in promoting sustainable livelihood among indigenous women entrepreneurs. Moreover, the study has also examined the mediating role of microentrepreneurship between financial inclusion and sustainable livelihood.

Structure equation modeling has been used to analyze the mediating effect of microentrepreneurship between financial inclusion and sustainable livelihood development. In total, 598 samples of indigenous women across the Sundargarh and Mayurbhanj districts in Odisha are used for the statistical data analysis in the study.

The results showed that financial inclusion has direct and indirect effect on promoting sustainable livelihood among indigenous women. The results also highlighted that microentrepreneurship significantly mediates the relationship between financial inclusion and sustainable livelihood.

The Government of India should formulate policies on financial inclusion by reviewing the findings of this study. In addition, to increase the base of microenterprises and the achievement of sustainable livelihood in rural regions, more focus should be given toward the promotion of inclusive finance among indigenous women in India.

The present idea has not been discussed or explored earlier among the indigenous communities in the Indian context. So, the study will benefit the marginalized groups of women in promoting their livelihood sustainably.

The current study aims to investigate the determinants of nonperforming loans (NPLs) in the GCC economies during the period spanning 2000 to 2018. It also examines whether the worldwide financial crisis of 2007–2008, which brought the issue of non–performing loans to the greater attention of academics and policymakers, had a substantial impact on NPLs in this region.

The sample consists of 53 conventional banks from GCC countries, and the basic data for the study is obtained from various sources such as Bankscope, IMF World Economic Outlook, World Bank and Chicago Board of Options Exchange Market Volatility Index. The estimations were done by dynamic panel data regression modeling using system generalized methods of moments.

The findings reveal that both, the non-oil real GDP growth rate and inflation have favorable effects on NPLs. On the other hand, domestic credit to the private sector and the volatility index have an adverse effect on NPLs. Furthermore, the period-wise analysis shows that the relevance and significance of the determinants of NPLs vary between the precrisis and postcrisis periods. It is also reflected through the intercept dummy, which is found to be significant, indicating that the financial crisis, as a global economic factor, had a significant impact on NPLs. A number of robustness tests are applied, which indicate that the results are mostly robust and consistent in terms of the significance of the explanatory variables and the direction of their relationship with the dependent variable.

Policymakers and bank authorities must strive to maintain a healthy economy and implement macroprudential policies to improve the financial stability of banks and reduce credit risk.

To the best of the authors’ knowledge, this is likely the first study that empirically investigates the influence of the financial crisis on NPLs in the context of GCC economies. In addition, the research spans 19 years to produce more conclusive results.