Do Americans View Financial Threats as Important Political Issues?

2015 ◽  
Author(s):  
Adam Seth Levine
Keyword(s):  
Time Series Data ◽  
Job Insecurity ◽  
Time Frame ◽  
Study Data ◽  
Series Data ◽  
Daily Lives ◽  
Political Issues ◽  
The People ◽  
National Election Study ◽  
The Cost

This chapter describes in greater detail the objective situation facing Americans in four major areas of financial threats: job insecurity, healthcare costs, retirement, and the cost of college. It analyzes the politics of such threats among the mass public. It examines the extent to which the people who consider such issues important are facing them in their own daily lives, as opposed to a situation in which their concerns are reflective of what others are facing. The data for this chapter are drawn from several sources, including time series data from Gallup beginning in the early 1950s as well as American National Election Study data from the past three decades that (broadly) match the time frame in which the objective situation in these four areas has become more insecure.

Political Voice across Issues

2015 ◽  
Author(s):  
Adam Seth Levine
Keyword(s):  
Political Participation ◽  
Labor Force ◽  
Study Data ◽  
Economic Insecurity ◽  
Political Organizations ◽  
Political Issues ◽  
The Past ◽  
The People ◽  
National Election Study ◽  
Look Back

This chapter examines patterns of political participation more broadly across time and space. It directly compares people's likelihood of becoming active based on which political issues they consider most important. The data for this analysis are drawn from the American National Election Study data from the past three decades. The chapter asks: If we look back over the past thirty years, have the people who consider insecurity issues to be most important also been less likely to spend resources on politics than those who consider other issues to be most important? Have they been less likely to donate money to political organizations? And, if they are in the labor force, have they been less likely to volunteer as well? Moreover, do these differences remain even after we take into account other differences between the types of people who prioritize economic insecurity issues versus those who consider other issues to be most important?

scholarly journals Investment Decisions through Total Asset Growth toward Price to Book Value on the Jakarta Islamic Index

2021 ◽  
Vol 12 (1) ◽  
pp. 63-74
Author(s):  
Syaugi Syaugi ◽  
Aulia Rahmah
Keyword(s):  
Stock Price ◽  
Time Series Data ◽  
Investment Decision ◽  
Investment Decisions ◽  
Study Data ◽  
Total Asset ◽  
Series Data ◽  
Book Value ◽  
Investment Decision Making ◽  
Asset Growth

This research analyzes the effect of investment decisions through Total Asset Growth (TAG) on Price to Book Value (PBV). Since PVB indicates stock measurement based on the ratio of stock price to book value, it is used by investors to assess the price offered. This research uses time-series data from 2014-2020 to examine seven companies selected using purposive sampling but based on fairly good asset developments from 2014 to 2020. Furthermore, this quantitative causal study data were collected using documentation from various sources and analyzed using a simple linear regression test. The results show that the TAG variable has no effect on PBV with a significance value of 0.89 0.05. This shows that TAG does not describe a stable company and is not always useful in investment decision-making.

Pendugaan Data Runtun Waktu Debit Aliran Sungai Cikeruh dengan Metode Thomas-Fiering

2021 ◽  
Vol 1 (1) ◽  
pp. 13-20
Author(s):  
Meiske Shabrina Pesik ◽  
Didi Suhaedi ◽  
M. Yusuf Fajar
Keyword(s):  
Time Series ◽  
River Flow ◽  
Time Series Data ◽  
Seasonal Pattern ◽  
Series Data ◽  
Discharge Data ◽  
Flow Discharge ◽  
Mean Error ◽  
The People ◽  
Monthly Period

Abstract. The Cikeruh River is a source of water for the people who live in the watershed area. The shift in land management has resulted in problems in the availability of water resources. As a policy to overcome this problem, an estimation of the flow rate of the Cikeruh river was carried out. Cikeruh river flow discharge data is observational data with a monthly period included in time series data or time series data. This data has a seasonal pattern so that the method that can be used to predict the discharge data is the Thomas-Fiering Method. To estimate the discharge data for 2018, the Cikeruh river flow discharge data were used every month from 2011 to 2017 as many as 84 historical data. Then after getting the results of the 2018 debit data estimation, the mean error value calculated using Thomas-Fiering was 0.0291. Abstrak. Sungai Cikeruh merupakan sumber air bagi masyarakat yang bermukim di wilayah daerah aliran sungai. Terjadinya pergeseran tata kelola lahan mengakibatkan permasalahan ketersediaan sumber daya air. Sebagai suatu kebijakan untuk mengatasi permasalahan tersebut maka dilakukan pendugaan debit aliran sungai Cikeruh. Data debit aliran sungai Cikeruh merupakan data pengamatan dengan periode bulanan yang termasuk dalam data time series atau data runtun waktu. Data ini memiliki pola  musiman sehingga metode yang dapat digunakan untuk membuat pendugaan data debit adalah Metode Thomas-Fiering. Untuk menduga data debit tahun 2018 digunakan data debit aliran sungai Cikeruh setiap bulannya dari tahun 2011 sampai 2017 sebanyak 84 data historis. Kemudian setelah mendapatkan hasil pendugaan data debit tahun 2018 didapatkan nilai Mean Error perhitungan menggunakan Thomas-Fiering adalah 0.0291.

scholarly journals Characteristics Of Neglected Fractures In Ujung Berung General Hospital, Bandung, January-December 2018

2020 ◽  
Vol 8 (5_suppl5) ◽  
pp. 2325967120S0009
Author(s):  
Dimas Harendra S Putra ◽  
R. Dadan Gardea G
Keyword(s):  
General Hospital ◽  
Traffic Accidents ◽  
High Mobility ◽  
Study Data ◽  
Education Level ◽  
Payment System ◽  
Cost Of Care ◽  
Day Length ◽  
Daily Lives ◽  
The People

Introduction: The high mobility of Indonesian people in their daily lives increases the risk of accidents that can cause fractures. However, the people still believe in the handling of fractures by bone setter. Patients come with various complications,mild to severe. It also has an effect on the high total cost of care. This study aims to determine the characteristics and prevalence of neglected fractures in Ujung Berung General Hospital, Bandung, January-December 2018. Method: This study is a descriptive retrospective study, data taken from medical records of neglected fractures patients treated in Ujung Berung General Hospital in Bandung in 2018. Results: Neglected fractures sufferers treated in Ujung Berung General Hospital in Bandung in 2018 were more prevalent in men 68% and productive age 76%. With a low education level of 8%, and got the handling of a bone setter 68%. The cause of a fracture is a traffic accident 76% with the location of the most neglected fractures being the femur bone 36%. With a 3-6 day length of stay of 64%, there are 84% of patients using the BPJS payment system. Conclusion: The characteristics found in neglected fractures sufferers are more inmen, productive age, secondary education level, have been handled by bone setter, causes of fractures due to traffic accidents and femurs are the bones that have the most neglected fractures, with a maximum period of 3-6 days and BPJS payment system is most widely used by the patients.

scholarly journals Monitoring the Impact of COVID-19 Lockdown on the Production of Nitrogen Dioxide (NO2) Pollutants Using Satellite Imagery: A Case Study of South Asia

2021 ◽  
Vol 13 (13) ◽  
pp. 7184
Author(s):  
Farhad Hassan ◽  
Muhammad Umar Chaudhry ◽  
Muhammad Yasir ◽  
Muhammad Nabeel Asghar ◽  
Samuel Asumadu Sarkodie
Keyword(s):  
Nitrogen Dioxide ◽  
South Asia ◽  
Satellite Imagery ◽  
Fossil Fuels ◽  
Time Series Data ◽  
Time Frame ◽  
Series Data ◽  
Anthropogenic Pollutants ◽  
Time Frames ◽  
The Impact

Among the numerous anthropogenic pollutants, nitrogen dioxide (NO2) is one of the leading contaminants mainly released by burning fossil fuels in industrial and transport sectors. This study evaluates the impact of COVID-19 lockdown on the growing trend of NO2 emissions in South Asia. Satellite imagery data of Sentinel-5 Precursor with Tropomi instrument was employed in this study. The analysis was performed using time series data from February–May 2019 and February–May 2020. The time frame from February–May 2020 was further divided into two sub-time-frames, i.e., from 1 February–20 March (pre-lockdown) and from 21 March–May 2020 (lockdown). Results show the concentration of NO2 pollutants over the region declined by 6.41% from February–May 2019 to February–May 2020. Interestingly, an increasing trend of NO2 concentration by 6.58% occurred during the pre-lockdown phase in 2020 (1 February–20 March) compared to 2019 (February–May). However, the concentration of NO2 pollutants reduced considerably by 21.10% during the lockdown phase (21 March–10 May) compared to the pre-lockdown phase in 2020. Furthermore, the country-specific detailed analysis demonstrates the significant impact of COVID-19-attributed lockdown on NO2 concentration in South Asia.

scholarly journals Total Factor Productivity Growth in Indian Agriculture

2010 ◽  
Vol 6 (4) ◽  
pp. 286-298 ◽  
Author(s):  
Amarnath Tripathi
Keyword(s):  
Total Factor Productivity ◽  
Economies Of Scale ◽  
Time Series Data ◽  
Market Access ◽  
Output Growth ◽  
Series Data ◽  
Factor Productivity ◽  
Indian Agriculture ◽  
The People ◽  
Future Growth

n this study, time series data has been related to broad agricultural outputs which included farming, livestock, forestry, and fisheries and 3 conventional inputs: labour, land, and capital, to construct an index of total factor productivity (TFP) between 1969-70 to 2005-06. A TFP index is simply the ratio of an output index to an input index. Therefore, growth in TFP is the residual share of output growth after accounting for changes in land, labor, and other conventional agricultural inputs. Changes in TFP can be interpreted as a measure of the collective contribution of non-conventional inputs in agriculture, such as improvements in input quality, market access, economies of scale, and technology. What emerges from this exercise is a picture that raises concern about future growth in Indian agriculture, and the welfare of the people who depend on agriculture for their livelihood. Agricultural productivity in India appeared to stagnate in the late 1990s after enjoying two decades of rapid growth.

scholarly journals Analyzing the Effectiveness of Modern Irrigation Methods in Iraq

2021 ◽  
Vol 11 (3) ◽  
Author(s):  
Ismail I. AOthman ◽  
Redvan Ghasemlounia
Keyword(s):  
Irrigation Water ◽  
Time Series Data ◽  
Study Data ◽  
Series Data ◽  
Estimation Model ◽  
Climate Effect ◽  
Irrigation Methods ◽  
Water Problem ◽  
Temperature Climate ◽  
The Impact

Iraq is one of the countries that have water scarcity problem. Many reasons have made this problem to be more complex. The modern irrigation methods have used as one solution to the water problem in Iraq. This paper investigates the effectiveness of modern irrigation methods in Iraq. The paper tests the impact of using modern irrigation methods on the amount of water used for irrigation. The study uses Liner Regression Model (LRM) as a statistical estimation model. The study data were taken from the ministry of water resources, and the ministry of agriculture in Iraq. This study uses weekly time series data from 2000 -2010. The results show that using modern irrigation methods in Iraq has negative and insignificant impact on the total amount of irrigation water. The results shows that temperature (climate effect) has positive and significant impact on total irrigation water. The results shows that stored water has positive and significant impact on irrigation water.

scholarly journals Study on The Physical Characteristics and Hydrology of 15 Watershed in East Java

2013 ◽  
Vol 27 (2) ◽  
pp. 159
Author(s):  
Indarto Indarto
Keyword(s):  
Time Series ◽  
Time Series Data ◽  
Daily Rainfall ◽  
Study Data ◽  
Series Data ◽  
Simple Arithmetic ◽  
Discharge Data ◽  
Average Value ◽  
Physical Data ◽  
Areal Rainfall

The study demonstrated the application of statistical method to describe physical and hydro-meteorological characteristics by means of time series analysis.  Fifteen(15) watersheds in East Java were selected for this study. Data input for the analysis include: physical data, rainfall and discharge. Physical data of the watershed (topography, river network, land use, and soil type) are extracted from existing database and treated using GIS Software. Daily rainfall data were collected from existing pluviometers around the region. Daily discharge data were obtained from measurement station located at the outlet of each watershed. Areal Rainfall for each watershed was determined using average value of existing pluviometers around the watershed and determined using simple arithmetic method. These time series data are then imported to RAP (River Analysis Package).  Analysis on the RAP, include: general statistical, flow duration curve (FDC), and baseflow analysis. The result then presented in graphic and tables. Research shows that among the watersheds have different physical and hydrological characteristics.

scholarly journals Vibration Anomaly Detection using Deep Neural Network and Convolutional Neural Network

2021 ◽  
pp. 19-28
Author(s):  
Crina Deac ◽  
◽  
Gicu Călin Deac ◽  
Radu Constantin Parpală ◽  
Cicerone Laurentiu Popa ◽  
...  
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Deep Neural Network ◽  
Time Series Data ◽  
Real Data ◽  
Series Data ◽  
Health State ◽  
Optimal Learning ◽  
Accuracy And Precision ◽  
The Cost

Identifying the “health state” of the equipment is the domain of condition monitoring. The paper proposes a study of two models: DNN (Deep Neural Network) and CNN (Convolutional Neural Network) over an existent dataset provided by Case Western Reserve University for analyzing vibrations in fault diagnosis. After the model is trained on the windowed dataset using an optimal learning rate, minimizing the cost function, and is tested by computing the loss, accuracy and precision across the results, the weights are saved, and the models can be tested on other real data. The trained model recognizes raw time series data collected by micro electro-mechanical accelerometer sensors and detects anomalies based on former times series entries.

scholarly journals PENGARUH JUMLAH PERCEPATAN RESTITUSI PAJAK PERTAMBAHAN NILAI TERHADAP PENERIMAAN PAJAK PERTAMBAHAN NILAI (Studi pada Kantor Pelayanan Pajak Pratama Malang Utara)

Profit ◽  
2021 ◽  
Vol 15 (01) ◽  
pp. 120-129
Author(s):  
Astri Warih Anjarwi ◽  
Linda Kharisma
Keyword(s):  
Time Series ◽  
Data Analysis ◽  
Time Series Data ◽  
Value Added ◽  
Secondary Data ◽  
Variable Number ◽  
Series Data ◽  
Value Added Tax ◽  
Analysis Technique ◽  
The Cost

The Accelerated of Value Added Tax Restitution is Indonesian government’s policy to a preliminary refund of value added tax overpayment. The simplification or the acceleration of the provision of restitution is done without strict examination and long process, but by simple research. Accelerated restitution policy is given to the Taxpayer who fulfills certain requirements (certain amount of restitution as mentioned above), certain criteria (Taxpayers who comply) and they are low risk Taxable Entrepreneurs that determined by the Minister of Finance. The Acceleration of Value Added Tax restitution is expected to reduce the cost compliance because the provision of restitution is done without examination and it is hoped that this policy could increase cash flow and liquidity of the economy. The research’s purpose is determine to impact the number of acceleration of value added tax restitution to the acceptance of value added tax. The type of research is explanatory research with a quantitative approach. The research’s data is secondary data that obtaine from the Pratama Tax Office Malang Utara. The research’s data is time series data during the periode of April 2018 – November 2019. The data analysis technique on the research is a simple regresi linier analysis. The results of this research is variable number of acceleration restitution on value added tax impact and significant for the revenue value added tax in the Pratama Tax Office Malang Utara. The value of R Square earned is 0.374 which means that the number of accelerated restitution of value added tax has an impact on the variable revenue of value added tax is 37.4%.

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