<abstract xmlns="http://www.w3.org/1999/xhtml">We investigate the regional dynamic of nosocomial infections in Romanian hospitals, and find potential predictors. Our data covers 13 years, and refer to the incidence of nosocomial infections for each of the 42 Romanian administrative units every year. A preliminary cluster analysis reveals that there is heterogeneity across counties both in terms of average, and variability of nosocomial infections incidence. The heterogeneity can be explained to an important degree by the local level of healthcare infrastructure, urbanization rate and economic development. Supporting programs and clear standards for quality assurance must accompany the investment in health infrastructure, and the development of new out – care units should be prioritized</abstract>

Department of Economic and Administrative Sciences)

Evidence Based Relationship Between Healthcare Infrastructure and Nosocomial Infections in Romania

<abstract xmlns="http://www.w3.org/1999/xhtml">The mortality rate is a global indicator that reflects the standard of living and the population health condition, but also a variable that shows the social-economic development of a society. This paper proposes the investigation of some economic conditions and their influence on mortality by literature reviewing and also through a statistic analysis based on 28 European Union countries.In order to study the tendencies of this phenomenon, it was analyzed the influence of some economic factors like the GDP per capita, income discrepancies, inflation rate, budget deficit and also the “snowball” effect for 16 years (from 2000 to 2016) using a panel regression model with fixed effects. The resulted regression model captures the major changes on a long term of mortality rate trend for the population aged 15 and 65 years.</abstract>

Mortality Phenomenon Analysis on Adult Population Under the Influence of Economic Factors in European Context

<abstract xmlns="http://www.w3.org/1999/xhtml">This study attempts to analyze the impact of climate change on crop production using household consumption survey collected by the national institute of statistics and data imported from the department of statistics of ministry of agriculture and rural development. The main research question is: what is the relationship between climate change and crop production? Methodologically, used is made of instrumental variable and control function models to compute for the data. We realized that to a lesser extent climate change has an effect on agricultural production and more of a fishing phenomenon. In terms of policy, mainstreaming climate change adaptation into national development strategy and budgets could promote proactive engagement on the formulation and implementation of climate change adaptation strategy; this is a wise step towards increasing crop production and malnutrition reduction.</abstract>

Quantifying the Effects of Climate Change on Crop Production

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Journal of Social and Economic Statistics

 The Journal of Social and Economic Statistics (JSES) is an electronic open access journal that aims to publish original papers that make interesting and novel contributions to statistical theory and its applications to real life problems.  JSES is a publication of the Department of Statistics and Econometrics of the Bucharest Academy of Economic Studies.  The journal is published two times a year (Summer and Winter issues).  The Journal is indexed in the following databases: EBSCO, RePEc, and ERIHPLUS.  As information is increasingly gaining prominence in today’s globalised society, statistical methods represent a tool of constant interest and usage. There is a multitude of issues which deserve to be studied theoretically and empirically, which are useful for researchers, managers and policy makers alike.  To gain a more comprehensive and deeper understanding on how statistical methods can be conceptualized and understood, the Journal of Social and Economic Statistics aims to present new research on the theory and practice of statistics.  The goal of JSES is to bring together articles which contribute new research ideas in all areas of statistical science, the latest theoretical and applied research in statistics. JSES calls for contributions on how statistical methods can be conceptualized, developed and applied in social and economic practical settings. We welcome empirical papers, especially papers addressing insights from case study research, which can contribute to advancing our knowledge in this important area.  Theoretical, methodological and/or empirical research papers in any sector of the economy and society, qualitative and quantitative studies, as well as conceptual approaches are invited. Suitable topics include but are not limited to:   Theoretical, applied, computational or conceptual papers related to statistics and econometrics  Modelling and simulation  Studies that focus on how statistical methods can be employed to investigate microeconomic, macroeconomic, forecasting, business, and finance related topics  Decision analysis and decision techniques  Research methods   Archiving  Sciendo archives the contents of this journal in Portico - digital long-term preservation service of scholarly books, journals and collections.  Plagiarism Policy  The editorial board is participating in a growing community of Similarity Check System's users in order to ensure that the content published is original and trustworthy. Similarity Check is a medium that allows for comprehensive manuscripts screening, aimed to eliminate plagiarism and provide a high standard and quality peer-review process. 

Journal of Social and Economic Statistics

Volume 8 (2019): Issue 1 (July 2019)

Evidence Based Relationship Between Healthcare Infrastructure and Nosocomial Infections in Romania

Mortality Phenomenon Analysis on Adult Population Under the Influence of Economic Factors in European Context

Quantifying the Effects of Climate Change on Crop Production

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