Defence Spending and Unemployment in the USA: Disaggregated Analysis by Gender and Age Groups

2020 ◽  
Vol 26 (2) ◽  
Author(s):  
Christos Kollias ◽  
Suzanna-Maria Paleologou ◽  
Panayiotis Tzeremes
Keyword(s):  
Regression Analysis ◽  
Quantile Regression ◽  
Age Groups ◽  
Age Group ◽  
Defence Spending ◽  
Gender And Age ◽  
Negative Effect ◽  
The Usa ◽  
Quantile Regression Analysis ◽  
Robust Evidence

AbstractThe paper examines the effects of military spending using disaggregated unemployment statistics by gender and age group for the period 1948–2017 in the case of the USA. Findings from quantile regression analysis do not seem to point to any robust evidence supporting the thesis that defence spending quashes unemployment levels. This finding appears to be the case across all groups of unemployed persons. In fact, the results suggest a negative effect on unemployment.

scholarly journals Quantile Regression Analysis of Modifiable and Non-Modifiable Predictors of Stroke among Adults in South Africa

2021 ◽  
Vol 14 (1) ◽  
pp. 409-416
Author(s):  
Delson Chikobvu ◽  
Lyness Matizirofa
Keyword(s):  
South Africa ◽  
Regression Analysis ◽  
Quantile Regression ◽  
Age Groups ◽  
Female Gender ◽  
Public Hospitals ◽  
Cross Sectional ◽  
Black Race ◽  
Modifiable Factors ◽  
Quantile Regression Analysis

Background: Stroke is the second largest cause of mortality and long-term disability in South Africa (SA). Stroke is a multifactorial disease regulated by modifiable and non-modifiable predictors. Little is known about the stroke predictors in SA, particularly modifiable and non-modifiable. Identification of stroke predictors using appropriate statistical methods can help formulate appropriate health programs and policies aimed at reducing the stroke burden. This study aims to address important gaps in stroke literature i.e., identifying and quantifying stroke predictors through quantile regression analysis. Methods: A cross-sectional hospital-based study was used to identify and quantify stroke predictors in SA using 35730 individual patient data retrieved from selected private and public hospitals between January 2014 and December 2018. Ordinary logistic regression models often miss critical aspects of the relationship that may exist between stroke and its predictors. Quantile regression analysis was used to model the effects of each predictor on stroke distribution. Results: Of the 35730 cases of stroke, 22183 were diabetic. The dominant stroke predictors were diabetes, hypertension, heart problems, the female gender, higher age groups and black race. The age group 55-75 years, female gender and black race, had a bigger effect on stroke distribution at the lower upper quantiles. Diabetes, hypertension and cholesterol showed a significant impact on stroke distribution (p < 0.0001). Conclusion: Most strokes are attributable to modifiable factors. Study findings will be used to raise awareness of modifiable predictors to prevent strokes. Regular screening and treatment are recommended for high-risk individuals with identified predictors in SA.

scholarly journals Association between leukocyte telomere length and sex by quantile regression analysis

2021 ◽  
Author(s):  
Fernanda Gutierrez-Rodrigues ◽  
Raquel M. Alves-Paiva ◽  
Natália F. Scatena ◽  
Edson Z. Martinez ◽  
Priscila S. Scheucher ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Quantile Regression ◽  
Telomere Length ◽  
Leukocyte Telomere Length ◽  
Quantile Regression Analysis

Determinants of liquidity in Malaysian SMEs: a quantile regression approach

2018 ◽  
Vol 67 (9) ◽  
pp. 1566-1584 ◽  
Author(s):  
Shaista Wasiuzzaman
Keyword(s):  
Regression Analysis ◽  
Quantile Regression ◽  
Emerging Market ◽  
Developed Countries ◽  
Data Availability ◽  
Firm Level ◽  
Liquidity Management ◽  
Ols Regression ◽  
Content Type ◽  
Quantile Regression Analysis

PurposeThe management of liquidity has always been seen as a critical but often ignored issue in finance. Despite the abundance of studies on liquidity management, these studies mainly focus on developed countries and on large firms. Liquidity is critical for the small firm but studies on liquidity management in small and medium enterprises (SMEs) are lacking. The purpose of this paper is to examine the firm-level determinants of liquidity of SMEs in Malaysia.Design/methodology/approachData are collected for a total of 986 small firms in Malaysia from 2011 to 2014, resulting in a total of 2,683 observations. Firm-specific variables and the effect of the economy are considered as the possible determinants of liquidity. Ordinary least squares (OLS) regression analysis with standard errors adjusted for firm-level clustering and quantile regression analysis are used for this purpose.FindingsAnalysis using OLS regression technique indicates that a firm’s profitability, its growth, asset tangibility, size, age and firm status are significant factors in influencing its liquidity decision. Leverage and economic condition are not found to have any significant influence on liquidity. However, quantile regression analysis provides a different picture especially for SMEs with liquidity at the quantile levels ofθ=0.10 and 0.90. Atθ=0.10, only profitability, tangibility and firm status are significant, while atθ=0.90, tangibility, size, firm status and, to some extent, age are significant in influencing liquidity levels.Originality/valueTo the author’s knowledge, this is the first study analyzing the liquidity decision of SMEs in an emerging market such as Malaysia. Most studies on liquidity management of SMEs are focused on developed countries due to data availability but these studies are also only a handful. Additionally, this study uses quantile regression analysis which highlights the need to analyze financial decisions at different levels rather than at the aggregate level as done in OLS regression analysis.

Absenteeism and performance in a quantitative module A quantile regression analysis

2016 ◽  
Vol 8 (3) ◽  
pp. 376-389 ◽  
Author(s):  
Pranab Kumar Pani ◽  
Pallavi Kishore
Keyword(s):  
Regression Analysis ◽  
Academic Performance ◽  
Learning Styles ◽  
Quantile Regression ◽  
United Arab Emirates ◽  
Classroom Environment ◽  
Negative Impact ◽  
Content Type ◽  
Quantile Regression Analysis ◽  
And Performance

Purpose – There is growing evidence that learning is faster, measurably better and more productive in a classroom setting when a student attends classes regularly. Each student brings in his/her experience, skills, and unique learning styles to a class – thus a classroom environment can potentially create positive externalities through which a student can gain substantially from various strengths of his/her peers. However, students do remain absent from their classes for a variety of reasons. One of the measurable effects of regular non-attendance in a university class, where students from various cultures and regions interact, is the academic performance. The purpose of this paper is to determine if there is any potential causal link between absenteeism (attendance) and academic performance. Design/methodology/approach – Data were culled from the records of three batches of students in a British university campus in the Middle East. Quantile regression methods were used to establish the causal relationship between absenteeism and academic performance. Findings – A quantile regression analysis reveals that absenteeism has negative impact on academic performance. This also suggests that low performers are worse affected by absenteeism as compared to the high performers. Research limitations/implications – Inclusion of some other factors, such as study habits, additional hours spent on quantitative modules, student’s ethnicity background, particularly in the context of United Arab Emirates, could have emboldened the robustness of the study. Non-availability or paucity of this information, to some degree, has limited the conclusions of this study. Originality/value – Proponents of mandatory attendance argue that there is a positive correlation between attendance and performance. But, one very important issue which gets overlooked is who actually benefits more by attending classes – are the shirkers who have a poor attendance record or the ones who are more sincere, more regular, and active participants in a class? This study uses quantile regression analysis to address this issue.

scholarly journals The pediatric patient at a maxillofacial service: eye prosthesis

2006 ◽  
Vol 20 (3) ◽  
pp. 247-251 ◽  
Author(s):  
Beatriz Silva Câmara Mattos ◽  
Maria Cecília Montagna ◽  
Clemente da Silva Fernandes ◽  
Antonio Carlos Lorenz Sabóia
Keyword(s):  
Statistical Significance ◽  
Age Groups ◽  
Age Group ◽  
Significance Level ◽  
Gender And Age ◽  
Child Patient ◽  
Eye Prosthesis ◽  
School Of Dentistry ◽  
Prosthetic Eye ◽  
Orbital Region

Congenital absence or loss of the ocular globe during childhood causes psycho-social and cosmetic disorders and compromise the normal development of the orbital region. The literature relating to congenital or acquired etiology, due to trauma or disease, demonstrates the necessity of prevention and early detection in order to minimize the sequelae and disturbances in orbital growth. Installation of an eye prosthesis is essential to the rehabilitation process, so as to produce satisfactory development of the region. In order to characterize a profile of the child patient with this condition, a survey was carried out at the Prosthetic Eye sector, Out-patient Clinic, Discipline of Maxillofacial Prosthodontics, School of Dentistry, University of São Paulo (FOUSP), during the period from 1988 to 2003. The 124 (14.02%) patients within the age group of 0-13 years registered for ocular prosthesis were divided into a first group of 64 patients (51.62%) with 0-7 years, and a second group of 60 patients (48.38%) with 8-13 years. Fifty nine were girls and 65 were boys. No statistical significance was observed regarding the distribution of genders in the two analyzed age groups (p = 0.069). However, there was statistical significance at the level of 0.01 in relation to etiology, with higher prevalence of congenital and pathological disturbances in the younger group and traumatic occurrences in the older group. The etiology also presented variation according to the gender, at the significance level of 0.05, where girls presented three times less trauma than boys in the older age group. The necessity of prosthetic ocular repair was evenly distributed along the childhood period and the eye losses that required prosthetic treatment equally affected both genders. However, the etiology of eye loss varied according to the considered gender and age bracket.

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