scholarly journals Fertility and women's employment reconsidered: A macro-level time-series analysis for developed countries, 1960–2000

2004 ◽  
Vol 58 (1) ◽  
pp. 109-120 ◽  
Author(s):  
Henriette Engelhardt ◽  
Tomas Kögel ◽  
Alexia Prskawetz
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
Developed Countries ◽  
Macro Level ◽  
Women's Employment ◽  
Women’S Employment ◽  
Series Analysis

scholarly journals INTERACTION BETWEEN THE ECONOMIC GROWTH AND THE CONSTRUCTION INDUSTRY: A TIME SERIES ANALYSIS ON TURKEY (2000-2012)

2013 ◽  
Vol 3 (1) ◽  
pp. 20-34 ◽  
Author(s):  
Bilal Kargı
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Time Series Analysis ◽  
Construction Industry ◽  
Developed Countries ◽  
The Other ◽  
Gdp Growth ◽  
Quarterly Data ◽  
Series Analysis ◽  
Gdp Growth Rate

In this study the relation between the economic growth and the construction industry has been tackled. While the growth the rate of the construction industry in the developing countries is more than the GDP growth rate, it is detected that the percent age it takes in the GDP of developed countries relatively diminishes. On the other hand the construction industry’s growth in the economic fluctuation periods, in the aftermath of a recession, is more than the GDP. These two proposals are tested by the quarterly data of 2000:01-2012:03 for Turkey. Additionally the relation between the economic growth and the construction industry is subjected to the Granger causality test.Keywords: Economic growth, construction industry, time series analysis.

scholarly journals Is There Too Much Government in Developed Countries? A Time-Series Analysis of 24 OECD-Economies

2014 ◽  
Vol 1 (1) ◽  
pp. 1-30
Author(s):  
Sebastian Coll
Keyword(s):  
Time Series ◽  
Public Sector ◽  
Time Series Analysis ◽  
Panel Data Analysis ◽  
Developed Countries ◽  
Simultaneous Equation ◽  
Equation Model ◽  
Cross Sectional ◽  
Series Analysis ◽  
Time Series Analyses

AbstractThe economic consequences of public sector oversizing have been analyzed in hundreds of scientific contributions. The empirical branch of this literature tries to measure these effects through the use of three main tools: cross-sectional analysis of countries’ samples, time-series analysis of individual economies, and panel-data analysis. Most authors conclude that the current size of the public sector is too big in their analyzed economies, thus leading to reduced output. For different reasons, however, the results of both cross-sectional and time-series analyses are open to criticism. This article aims to check the validity of the converging conclusions obtained by time-series analyses. To this end, a simultaneous-equation model is designed, which evades the critiques addressed to prior contributions. Application of this model to 24 OECD countries during the 1975-to-2007 period suggests that at least most of these have indeed let their public sector grow beyond the level that is optimum for their economic performance.

scholarly journals TIME SERIES ANALYSIS FOR FORESCASTING THE NUMBER OF TUBERCULOSIS IN KENDARI CITY 2018-2023

2019 ◽  
Vol 1 (1) ◽  
pp. 72-79
Author(s):  
Noviati Novi
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
Linear Trend ◽  
Health Agency ◽  
Developed Countries ◽  
Quadratic Model ◽  
Pulmonary Tb ◽  
Average Decrease ◽  
Series Analysis ◽  
Quantitative Descriptive

Tuberculosis is a contagious disease that is still a problem in the world today, not only in developing countries but also in developed countries. That is what happened in Kendari City in 2012 - 2017. Efforts made to prevent the increasing number of tuberculosis in the future is to make predictions. This study aims to study time series analysis in predicting the incidence of tuberculosis based on sex and working area of ​​health centers in Kendari City in 2018-2022. This type of research is quantitative descriptive using the series analysis. Sources of research data obtained from the Kendari City Health Agency in Southeast Sulawesi Province consisted of data on pulmonary TB cases in which sex and working area of ​​Puskesmas in 2012 - 2017 in Kendari City would be processed and analyzed by time series using the trend method into 3 linear trend models, quadratic trends and exponential trends. The results showed the best model for prediction of pulmonary TB cases in Kendari City was the quadratic model. Based on the number of cases predicted to increase in the period 2018 to 2022, with an average decline with an average decrease of 79 cases in men and 286 cases in women. Pulmonary TB cases based on puskesmas area are predicted to increase in 2018 until 2022 with the highest average increase in Kemaraya puskesmas area. While the average decline in cases is highest in the Mata Puskesmas area. It is expected to be able to be information for policy makers, so that prevention and early promotion efforts can be made for the community.

Dynamical Peculiarities of Concatenational Changes in Functional Cardiovascular Parameters

2018 ◽  
Vol 3 (82) ◽  
Author(s):  
Eurelija Venskaitytė ◽  
Jonas Poderys ◽  
Tadas Česnaitis
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
Functional State ◽  
The Body ◽  
Functional Changes ◽  
High Intensity Training ◽  
Series Analysis ◽  
Greco Roman ◽  
St Segment ◽  
Standard Lead

Research  background  and  hypothesis.  Traditional  time  series  analysis  techniques,  which  are  also  used  for the analysis of cardiovascular signals, do not reveal the relationship between the  changes in the indices recorded associated with the multiscale and chaotic structure of the tested object, which allows establishing short-and long-term structural and functional changes.Research aim was to reveal the dynamical peculiarities of interactions of cardiovascular system indices while evaluating the functional state of track-and-field athletes and Greco-Roman wrestlers.Research methods. Twenty two subjects participated in the study, their average age of 23.5 ± 1.7 years. During the study standard 12 lead electrocardiograms (ECG) were recorded. The following ECG parameters were used in the study: duration of RR interval taken from the II standard lead, duration of QRS complex, duration of JT interval and amplitude of ST segment taken from the V standard lead.Research  results.  Significant  differences  were  found  between  inter-parametric  connections  of  ST  segment amplitude and JT interval duration at the pre and post-training testing. Observed changes at different hierarchical levels of the body systems revealed inadequate cardiac metabolic processes, leading to changes in the metabolic rate of the myocardium and reflected in the dynamics of all investigated interactions.Discussion and conclusions. It has been found that peculiarities of the interactions of ECG indices interactions show the exposure of the  functional changes in the body at the onset of the workload. The alterations of the functional state of the body and the signs of fatigue, after athletes performed two high intensity training sessions per day, can be assessed using the approach of the evaluation of interactions between functional variables. Therefore the evaluation of the interactions of physiological signals by using time series analysis methods is suitable for the observation of these processes and the functional state of the body.Keywords: electrocardiogram, time series, functional state.

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