scholarly journals Volatility under the spotlight: panel regression analysis of online slots player in the UK

2021 ◽  
pp. 1-16
Author(s):  
Chris Percy ◽  
Kiril Tsarvenkov ◽  
Simo Dragicevic ◽  
Paul H Delfabbro ◽  
Jonathan Parke
Keyword(s):  
Regression Analysis ◽  
Panel Regression ◽  
The Uk

scholarly journals The Impact of B Corp Certification on Growth

2021 ◽  
Vol 13 (13) ◽  
pp. 7191
Author(s):  
Valerie Paelman ◽  
Philippe Van Cauwenberge ◽  
Heidi Vander Bauwhede
Keyword(s):  
Regression Analysis ◽  
Propensity Score ◽  
Panel Regression ◽  
Medium Term ◽  
Difference In Differences ◽  
Dual Purpose ◽  
Full Effect ◽  
The Impact ◽  
Positive Effect ◽  
Over Time

We empirically test whether B Corp certification affects the short- and medium-term growth rates of sustainable enterprises. These businesses are growing in popularity and prevalence but, due to their hybrid nature, often suffer from external credibility issues and competing internal logics. Because of the rigorous and time-involving audit procedure, B Corp certification potentially sends a credible signal about the sustainable nature of the enterprise to its stakeholders. In addition, the B Corp label could help to straighten out internal tensions and align the company towards its dual purpose. Hence, B Corp certification could contribute to company success. We observe 129 firms that were certified between 2013 and 2018 over a period between six years prior and five years post-certification. Using propensity score matching, we identify 129 non-certified matching companies. On this sample, we conduct a difference-in-differences panel regression analysis to investigate the effect of certification. Our dataset allows us to study how the effects of B Corp certification evolve over time, which was previously untested. Our study documents a positive effect of B Corp certification on turnover growth and also that this effect increases with the time since certification, implying that certification requires some time for its full effect to become apparent.

scholarly journals Analysis of Characteristics of Coastal Passenger Ships on the Voyage Scheduling using Panel Regression Analysis

2019 ◽  
Vol 35 (1) ◽  
pp. 21-50
Author(s):  
Gitae Yeo ◽  
Nam-Tae Hyun ◽  
양태현 ◽  
박성훈 ◽  
오재균
Keyword(s):  
Regression Analysis ◽  
Panel Regression ◽  
Passenger Ships

scholarly journals REAKSI INVESTOR TERHADAP PENGUMUMAN LABA DAN UNEXPECTED EARNING PADA SEKTOR INFRASTRUKTUR SAAT MENGHADAPI KOS STICKINESS

2021 ◽  
Vol 9 (2) ◽  
pp. 95-109
Author(s):  
Silvia Putri Faridayanti ◽  
Robiyanto Robiyanto
Keyword(s):  
Regression Analysis ◽  
Earnings Quality ◽  
Earnings Announcements ◽  
Sampling Technique ◽  
Panel Regression ◽  
Future Earnings ◽  
Earnings Information ◽  
Unexpected Earnings ◽  
Analysis Technique ◽  
Investor Reaction

The purpose of this study is to determine investors reactions to earnings announcements and unexpected earnings when facing stickiness cost. Sampling in this study used a purposive sampling technique with a total of 10 infrastructure companies listed on the IDX during 2015-2019. The analysis technique in this study uses panel regression analysis using EVIEWS 9. The results of this study indicate that there is no investor reaction to earnings announcements in infrastructure companies when there are low and high stickiness cost. However, when the company has a combined stickiness cost, there is an investor's reaction to the earnings announcement by seeing a positive CAR value which means good earnings quality. Unexpected Earning has no effect on companies that are facing stickiness cost, so the results of this study indicate that there is no investor reaction to unexpected earnings in infrastructure companies that have low, high, and combined stickiness cost. The conclusion of this study is that earnings information becomes less important in predicting future earnings.

scholarly journals Studying Away and Well-Being: A Comparison Study Between International and Home Students in the UK

2019 ◽  
Vol 12 (6) ◽  
pp. 1 ◽  
Author(s):  
Eman S. Alharbi ◽  
Andrew P. Smith
Keyword(s):  
Regression Analysis ◽  
International Students ◽  
Healthy Lifestyle ◽  
Well Being ◽  
Academic Work ◽  
University Life ◽  
Course Load ◽  
The Uk ◽  
The Impact

The aim of this study was to investigate the impact of being away from home on the well-being of international and domestic UK university students as a function of demographic factors, course load, support, personality, healthy lifestyle, and their employment of pre-planning and being at university strategies. A total of 510 students (n = 391 international and 117 British) completed an on-line survey to record demographic details and measure their well-being, quality of university life, and their being away from home strategies. The findings showed that International students reported greater quality of university life and used more pre-departure strategies; the female students reported a significantly more negative well-being and higher course demand than their male peers. A regression analysis showed that positive well-being was predicted by a positive personality, a healthy lifestyle, control and support for academic work, quality of university life and employing well-being strategies (using technology without over-reliance on it and the ability to unwind from study). Negative well-being, on the other hand, was predicted by a less positive personality and a less healthy lifestyle, a higher course demand, less control and support for academic work and less quality of university life. Moreover, the regression analysis showed that international students who employed more pre-departure strategies showed less negative well-being.

Mapping the contours of fairness

2014 ◽  
Vol 1 (2) ◽  
pp. 191-204 ◽  
Author(s):  
Lilian Otaye ◽  
Wilson Wong
Keyword(s):  
Job Satisfaction ◽  
Factor Analysis ◽  
Regression Analysis ◽  
Turnover Intention ◽  
Content Type ◽  
Mediating Role ◽  
The Uk ◽  
The Relationship

Purpose – The purpose of this paper is to explore the contours of fairness by showing how different facets of fairness impact three important employee outcomes (job satisfaction, turnover intention and employer advocacy) and examining the mediating role of quality of management and leadership (through perceptions of both senior management and the quality of exchange with immediate supervisors) in attenuating negative impacts of unfairness on these outcomes. The study extends the concept of fairness beyond the traditional focus on organizational justice and models the mediating role of leadership on the relationship between (un)fairness and the three employee-level outcomes in a sample of employees representative of the UK workforce. Design/methodology/approach – Data were obtained from a nationally representative sample of 2,067 employees in the UK. Exploratory factor analysis and then confirmatory factor analysis is used to refine three unfairness factors and address their dimensionality of the unfairness scale and then multiple regression analysis is used to test a fairness-leadership-employee performance outcome model. Findings – Results of multiple regression analysis revealed that both trust in leadership and leader-member exchange partially mediate the relationship between organizational (un)fairness and job satisfaction, advocacy and turnover intention, respectively. Practical implications – The findings highlight the important role that leaders play in influencing the relationship between perception of unfairness and employee outcomes. This has implications for both theory and practice as it suggests that the pattern of inclusion that leaders create through the relationships that they develop with their followers has a significant impact on the relationship between unfairness and the work outcomes. They not only must manage traditional perceptions of justice, but also the assessments employees make about trust in management judgements and the perceived consequences of such judgements. Originality/value – In an environment where perceptions of unfairness are becoming both more endemic but also more complex, the study shows that both senior leaders and immediate supervisors have important agency in managing negative consequences. Through the measurement of satisfaction, turnover intention and employer advocacy it also provides potential links to link fairness into the engagement literature.

A General Model of Author “Style” with Application to the UK House of Commons, 1935–2018

2020 ◽  
Vol 28 (3) ◽  
pp. 412-434
Author(s):  
Leslie Huang ◽  
Patrick O. Perry ◽  
Arthur Spirling
Keyword(s):  
Statistical Model ◽  
General Model ◽  
Panel Regression ◽  
House Of Commons ◽  
Members Of Parliament ◽  
Covariate Effects ◽  
The Uk

We consider evidence for the assertion that backbench members of parliament (MPs) in the UK have become less distinctive from one another in terms of their speech. Noting that this claim has considerable normative and substantive implications, we review theory and findings in the area, which are ultimately ambiguous on this question. We then provide a new statistical model of distinctiveness that extends traditional efforts to statistically characterize the “style” of authors and apply it to a corpus of Hansard speeches from 1935 to 2018. In the aggregate, we find no evidence for the claim of more homogeneity. But this hides intriguing covariate effects: at the MP-level, panel regression results demonstrate that on average, more senior backbenchers tend to be less “different” in speech terms. We also show, however, that this pattern is changing: in recent times, it is more experienced MPs who speak most distinctively.

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