scholarly journals Socioeconomic Determinants of Suicide in Iran: Panel Data Study

2021 ◽  
Author(s):  
Sara Emamgholipour ◽  
Mohammad Arab ◽  
Reza Shirani
Keyword(s):  
Panel Data ◽  
Least Squares Method ◽  
Average Rate ◽  
Generalized Least Squares ◽  
Skills Training ◽  
Socioeconomic Variables ◽  
Generalized Least Squares Method ◽  
Living Skills ◽  
The Impact

Background: A set of experiences that leads to the destruction of individual’s self-esteem are the main causes of suicide. Socioeconomic factors can be reasons for this event. Therefore, we aimed to investigate the impact of socioeconomic variables on suicide. Methods: A panel data model was used to investigate the impact of socioeconomic indexes on the number of suicides in each province of Iran from 2001-2016. The data of socioeconomic variables were obtained from the statistical center of Iran, and data for the number of suicides in each province were obtained from the forensic science department. The analysis was conducted using estimated generalized least squares method by EViews version 8. Results: The lowest and highest number of suicides was in 2001 (4.97 per 100,000 populations) and 2004 (5.97 per 100,000 populations), respectively and the average rate of suicide from 2001 to 2013 was 1.01 also unemployment, divorce, and industrialization rates have high impact on suicides for both sexes in P<0.05. Conclusion: Living skills training should be provided to the members of the societies as a short-term plan and in the long-term, improving the economic condition of people should be conduct to reduce the number of suicides.

Constructing a summary index using the standardized inverse-covariance weighted average of indicators

2020 ◽  
Vol 20 (4) ◽  
pp. 952-964
Author(s):  
Benjamin Schwab ◽  
Sarah Janzen ◽  
Nicholas P. Magnan ◽  
William M. Thompson
Keyword(s):  
Least Squares Method ◽  
Weighted Average ◽  
Generalized Least Squares ◽  
American Statistical Association ◽  
Cash Transfer ◽  
Transfer Program ◽  
Statistical Association ◽  
Generalized Least Squares Method ◽  
Summary Index ◽  
The Relationship

Researchers often want to examine the relationship between a variable of interest and multiple related outcomes. To avoid problems of inference that arise from testing multiple hypotheses, one can create a summary index of the outcomes. Summary indices facilitate generalizing findings and can be more powerful than individual tests. In this article, we introduce a command, swindex, that implements the generalized least-squares method of index construction proposed by Anderson (2008, Journal of the American Statistical Association 103: 1481–1495). We describe the command and its options and provide an example based on Blattman, Fiala, and Martinez’s (2014, Quarterly Journal of Economics 129: 697–752) evaluation of a cash transfer program in Uganda.

Does corporate social responsibility affect dividend policy? Empirical evidence in the French context

2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Olfa Ben Salah ◽  
Anis Ben Amar
Keyword(s):  
Corporate Social Responsibility ◽  
Panel Data ◽  
Social Responsibility ◽  
Dividend Policy ◽  
Least Squares Method ◽  
Positive Impact ◽  
Alternative Measure ◽  
Content Type ◽  
Corporate Social ◽  
The Impact

Purpose The purpose of this paper is to focus on the impact of corporate social responsibility (CSR) on dividend policy in the French context. In addition, the authors seek to determine if the individual components of CSR influence dividend policy. Design/methodology/approach This study uses panel data methodology for a sample of French non-financial firms between 2008 and 2018. Generalized least squares method is used to estimate the models. Findings Using panel data methodology for a sample of 825 observations for the period 2008–2018, this study finds a positive impact of CSR practices on dividend policy. The authors also find that individual components of CSR positively influence dividend policy. To check the robustness of the results, this study further runs a sensitivity tests, including an alternative measure of dividend policy, all of which confirm the findings. Practical implications This study has examined the impact of CSR on dividend policy in France and may have implications for regulatory, investors, analysts and academics. First, the involvement in CSR best practices encourages companies to pay more dividends to investors. Therefore, investors are more motivated to invest in socially responsible firms than socially irresponsible firms. Second, given the association of CSR with the quality of accounting information and financial markets, regulators should step up recommendations relating to the different societal dimensions of CSR. Originality/value While little previous work has focused on the causal link between CSR and dividend policy, this research is the first, to the authors’ knowledge, to have looked at the impact of CSR on dividend policy in France.

Conformity or differentiation? A U-shaped relationship between peers’ CSR and focal firms’ CSR

2021 ◽  
Vol 15 (2) ◽  
pp. 305-327
Author(s):  
Xianyi Long ◽  
Ting Zhang
Keyword(s):  
Design Methodology ◽  
Least Squares Method ◽  
Environmental Uncertainty ◽  
Generalized Least Squares ◽  
Content Type ◽  
Differentiation Strategy ◽  
Generalized Least Squares Method ◽  
Academic Researchers ◽  
Corporate Social ◽  
Practical Implications

Purpose The purpose of this paper is to investigate the influence of peers’ corporate social responsibility (CSR) on focal firms’ CSR from an integrated perspective. The current study aims to explore whether as peers’ CSR increases focal firms’ CSR would first decrease and then increase. Design/methodology/approach This study is based on a sample consisting of Chinese listed manufacturing firms from 2010 to 2016. Hypotheses are tested by generalized least squares method to minimum heterogeneity and autocorrelation concern. Findings The results show that focal firms’ CSR would first decrease and then increase with the increase in peers’ CSR. Furthermore, this paper found that corporate visibility would stress more value on CSR differentiation strategy and environmental uncertainty would stress more value on CSR conformity strategy, such that the U-shaped relationship would be more pronounced in high corporate visibility or low environmental uncertainty situation. Practical implications The findings may be of interest to the academic researchers and managers. For researchers, it is important to understand how focal firms would practice CSR in response to peers’ CSR, especially through an integrated perspective. For managers, the results show that the best way to invest in CSR activities in response to peers’ CSR follows a U-shaped curve, and corporate visibility and environmental uncertainty are important factors to be considered to make CSR decisions. Originality/value This study contributes to the literature by proposing and examining a U-shaped relationship between peers’ CSR and focal firms’ CSR, which stresses the conformity and differentiation value of CSR simultaneously. Besides, to fully map the effects of peers’ CSR and focal firms’ CSR, this paper considers the moderating roles of internal and external contingencies on this non-linear relationship between the peers’ CSR and focal firms’ CSR.

Recruitment to a trial of self-care skills training in long-term health conditions: Analysis of the impact of patient attitudes and preferences

2006 ◽  
Vol 27 (1) ◽  
pp. 49-56 ◽  
Author(s):  
Peter Bower ◽  
Anne Kennedy ◽  
David Reeves ◽  
Claire Gately ◽  
Victoria Lee ◽  
...  
Keyword(s):  
Self Care ◽  
Skills Training ◽  
Health Conditions ◽  
Patient Attitudes ◽  
The Impact

Schoolinary art: practical cooking skills issues for the future

2015 ◽  
Vol 117 (2) ◽  
pp. 629-650 ◽  
Author(s):  
Dawn Mc Dowell ◽  
Una McMahon-Beattie ◽  
Amy Burns
Keyword(s):  
Low Income ◽  
Policy Decision ◽  
Skills Training ◽  
Time Frame ◽  
Home Economics ◽  
Structured Learning ◽  
Content Type ◽  
Cooking Skills ◽  
The Impact

Purpose – The purpose of this paper is to consider the importance of structured and consistent practical cookery skills intervention in the 11-14-year age group. This paper reviews the impact and development of statutory and non-statutory cooking skills interventions in the UK and considers limitations in relation to life skills training. Currently practical cooking skills are mainly derived from two sources namely the non-statutory sector (community cooking interventions) and the statutory sector (Home Economics teaching). Design/methodology/approach – The paper compares the two interventions in terms of effective long-term outcomes. Non-statutory cooking interventions are generally lottery funded and therefore tend to be single teaching blocks of, on average, six to eight weeks targeting mostly low-income adults and the literature emphasises a deficit of empirical measurement of the long-term impact. In contrast Home Economics classes offer a structured learning environment across genders and socio-economic groups. In addition it is taught over a substantial time frame to facilitate a process of practical skills development (with relevant theoretical teaching), reflection, group communication and consolidation, where according to current educational theory (Kolb, 1984) learning is more thoroughly embedded with the increased potential for longer term impact. Findings – The review identifies the limitations of too many community initiatives or “project-itis” (Caraher, 2012, p. 10) and instead supports the use of the school curriculum to best maximise the learning of practical cooking skills. Originality/value – This review will be of particular value to educationalists and health policy decision makers.

The least-squares intersection of a family of lines and its application to phase equilibria

1982 ◽  
Vol 60 (15) ◽  
pp. 1978-1981 ◽  
Author(s):  
John W. Lorimer
Keyword(s):  
Phase Equilibria ◽  
Least Squares ◽  
Least Squares Method ◽  
Solid Phase ◽  
Generalized Least Squares ◽  
First Approximation ◽  
Generalized Least Squares Method ◽  
Point Of Intersection ◽  
Straight Lines ◽  
General Method

A generalized least-squares method is described for finding the point of intersection of a family of straight lines, each of which is defined by two experimental points. It is shown that the method of the least-squares triangle (Can. J. Chem. 59, 3076 (1981)) is a good first approximation to the general method. An example demonstrates the method of iteration of both parameters and observations for a problem involving evaluation of solid phase compositions from solubility measurements.

Relaxation and Creep Quasilinear Viscoelastic Models for Normal Articular Cartilage

1984 ◽  
Vol 106 (2) ◽  
pp. 159-164 ◽  
Author(s):  
B. R. Simon ◽  
R. S. Coats ◽  
S. L.-Y. Woo
Keyword(s):  
Articular Cartilage ◽  
Soft Tissues ◽  
Least Squares Method ◽  
Viscoelastic Model ◽  
Generalized Least Squares ◽  
Constitutive Law ◽  
Analytical Models ◽  
Creep Data ◽  
Bovine Articular Cartilage ◽  
Generalized Least Squares Method

A quasilinear viscoelastic model was used to develop relaxation and creep forms for a constitutive law for soft tissues. Combined relaxation and cyclic test data as well as preconditioned and nonpreconditioned creep data were used to demonstrate the approach for normal bovine articular cartilage. Values for mechanical parameters in the analytical models were determined using a generalized least squares method.

scholarly journals A new method to estimate genetic gain in annual crops

1998 ◽  
Vol 21 (4) ◽  
pp. 551-555 ◽  
Author(s):  
Flávio Breseghello ◽  
Orlando Peixoto de Morais ◽  
Paulo Hideo Nakano Rangel
Keyword(s):  
Genetic Gain ◽  
Least Squares Method ◽  
Generalized Least Squares ◽  
Joint Analysis ◽  
Weighted Estimate ◽  
Arithmetic Means ◽  
Breeding Programs ◽  
Generalized Least Squares Method ◽  
In Series ◽  
Using Data

The genetic gain obtained by breeding programs to improve quantitative traits may be estimated by using data from regional trials. A new statistical method for this estimate is proposed and includes four steps: a) joint analysis of regional trial data using a generalized linear model to obtain adjusted genotype means and covariance matrix of these means for the whole studied period; b) calculation of the arithmetic mean of the adjusted genotype means, exclusively for the group of genotypes evaluated each year; c) direct year comparison of the arithmetic means calculated, and d) estimation of mean genetic gain by regression. Using the generalized least squares method, a weighted estimate of mean genetic gain during the period is calculated. This method permits a better cancellation of genotype x year and genotype x trial/year interactions, thus resulting in more precise estimates. This method can be applied to unbalanced data, allowing the estimation of genetic gain in series of multilocational trials.

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