The cosine geometric distribution with count data modeling

In this paper, a new two-parameter discrete distribution is introduced. It belongs to the family of the weighted geometric distribution (GD), with the feature of using a particular trigonometric weight. This configuration adds an oscillating property to the former GD which can be helpful in analyzing the data with over-dispersion, as developed in this study. First, we present the basic statistical properties of the new distribution, including the cumulative distribution function, hazard rate function and moment generating function. Estimation of the related model parameters is investigated using the maximum likelihood method. A simulation study is performed to illustrate the convergence of the estimators. Applications to two practical datasets are given to show that the new model performs at least as well as some competitors.     

Promoting Public Trust in Public Organizations: Explaining the Role of Public Accountability

This paper is aimed at explaining the role of public accountability in promoting public trust in public organizations. Initially a conceptual model was developed. Then, the model was tested empirically in Iran. The result shows that public accountability influences the public trust by improving citizens’ satisfaction. In other words, legal, ethical, financial, functional, and utmost political accountability affect public trust through influencing citizens’ satisfaction. This study also confirms that changes in social trust, citizens’ trust in government, and media will moderate trust in public organizations.

Work satisfaction, burnout, and turnover among social workers in Israel: a causal diagram

This study developed a causal diagram addressing the predictors of work satisfaction, burnout and turnover among professional social workers in Israel. A random sample of 218 social workers completed self-administered surveys. Multiple regression and canonical correlation analyses were conducted to estimate a causal model that best predicts work satisfaction, burnout, and turnover among social workers. The results indicated that higher satisfaction, lower burnout, and lower turnover were a function of higher collegial relationship, greater supervision, adequate working conditions, greater opportunities for promotion, and Jewish ethnicity. In addition, higher satisfaction and lower burnout were a function of higher education and greater autonomy, whereas higher turnover was related to a lower salary and the social worker's relative youth. Limitations of the study and recommendations are discussed.     

Trade liberalization and industry performance in Bangladesh

This paper analyzes trade liberalization's impact on Bangladesh's manufacturing sector performance. Using firm level input and output data and employing a nonparametric data envelopment analysis (DEA), we calculate technical, pure technical and allocative efficiencies for a sample of 82 firms collected over two periods of time: 1993 and 1998. Then, applying a Malmquist index method, we calculate indices of total factor productivity change and decompose them into technological change, technical efficiency change and scale efficiency change. Our results show that the majority of Bangladeshi manufacturing firms experienced a positive total factor productivity growth between 1993 and 1998, averaging 29% over a five-year period. Export-oriented firms have performed better than import-oriented firms in improving their technical efficiency relative to the best-practice firms in their own sub-group. When these results are compared with the official statistics on the output performance of manufacturing firms, we can conclude that trade liberalization in the 1990s did not adversely affect the Bangladeshi manufacturing industry.     

Lindley first-order autoregressive model with applications

ABSTRACT

A new stationary first-order autoregressive process with Lindley marginal distribution, denoted as LAR(1) is introduced. We derive the probability function for the innovation process. We consider many properties of this process, involving spectral density, some multi-step ahead conditional measures, run probabilities, stationary solution, uniqueness and ergodicity. We estimate the unknown parameters of the process using three methods of estimation and investigate properties of the estimators with some numerical results to illustrate them. Some applications of the process are discussed to two real data sets and it is shown that the LAR(1) model fits better than other known non Gaussian AR(1) models.     

Public Policy Diffusion: A Scoping Review

Public Organization Review - The purpose of this scoping review is to describe studies focusing on policy diffusion to elicit an overall picture of the research in this field. Although various...     

Investment Areas to Enhance Public Employee Resilience during the Coronavirus Disease 2019 (COVID-19): Evidence from Iran

Public Organization Review - This study aims to investigate the areas of investment that the human resources management of the Iranian public sector has invested in for improving employees'...