scholarly journals The comparative analysis of the welfare attitude in accordance with the dual status of taxpayer and welfare recipient by using data linkage

2017 ◽  
Vol 1 (1) ◽  
Author(s):  
Miae Oh ◽  
Hyunsoo Choi
Keyword(s):  
Welfare Recipient ◽  
Tax Burden ◽  
Welfare Programs ◽  
Welfare Benefit ◽  
Negative Thinking ◽  
Data Files ◽  
Dual Status ◽  
Using Data ◽  
Break Even Point ◽  
Matched Data

ABSTRACT BackgroundData linkage is a method to form a complete data that can provide more abundant information by combining a plurality of different data files. In this study, we construct the matched data combined with Korea Welfare Panel Survey and National Survey of Tax and Benefit by using statistical matching methodology. We aim to provide the empirical and advisable evidence for tax and welfare policy by analyzing about the welfare attitude in accordance with the welfare status of taxpayer or welfare recipient using matched data.  ResultsAccording to the analysis results, people with dual status of taxpayer above the tax break-even point and welfare recipient due to recent enlargement of welfare programs are relatively more positive about the expansion of the universal welfare than taxpayers who never receive welfare benefit. Also, in the group with dual status, the recognition that the current tax burden of middle class is low is relatively higher and the negative thinking about the need to increase tax burden for the enlargement of the universal welfare programs is relatively lower than the group who pay tax but never receive welfare benefit.

scholarly journals Fast Proteome Identification and Quantification from Data-Dependent Acquisition–Tandem Mass Spectrometry (DDA MS/MS) Using Free Software Tools

2019 ◽  
Vol 2 (1) ◽  
pp. 8 ◽  
Author(s):  
Jesse Meyer
Keyword(s):  
Mass Spectrometry ◽  
Tandem Mass Spectrometry ◽  
Gene Knockout ◽  
Tandem Mass ◽  
Label Free ◽  
Software Packages ◽  
Complex Process ◽  
Data Files ◽  
Using Data ◽  
Free Quantification

The identification of nearly all proteins in a biological system using data-dependent acquisition (DDA) tandem mass spectrometry has become routine for organisms with relatively small genomes such as bacteria and yeast. Still, the quantification of the identified proteins may be a complex process and often requires multiple different software packages. In this protocol, I describe a flexible strategy for the identification and label-free quantification of proteins from bottom-up proteomics experiments. This method can be used to quantify all the detectable proteins in any DDA dataset collected with high-resolution precursor scans and may be used to quantify proteome remodeling in response to drug treatment or a gene knockout. Notably, the method is statistically rigorous, uses the latest and fastest freely-available software, and the entire protocol can be completed in a few hours with a small number of data files from the analysis of yeast.

scholarly journals Food away from home and the reversal of the calorie intake decline in India

Food Security ◽  
2020 ◽  
Author(s):  
Deepthi E. Kolady ◽  
Shivendra Kumar Srivastava ◽  
David Just ◽  
Jaspal Singh
Keyword(s):  
Data Collection ◽  
Poverty Line ◽  
Calorie Intake ◽  
Welfare Programs ◽  
Household Level ◽  
Food Away From Home ◽  
Social Welfare Programs ◽  
Food And Nutrition ◽  
Per Capita ◽  
Using Data

Abstract India experienced a consumption puzzle since the 1970s, whereby households’ calorie intakes declined over time, despite significant economic growth. This declining trend in calorie intake (consumption puzzle) was reversed for the first time in 2011–12. This is the first empirical study that investigates the relationship between refinements in data collection on food away from home (FAFH) and the trend reversal in per capita calorie intake decline in India. Findings from the study showed that the declining trend in calorie intake in India has been partly due to measurement issues and that correcting for these issues through refinements in data collection for FAFH in 2011–12 had a positive effect on the reversal of the calorie intake decline. India uses per capita calorie intake estimated using data from HCES to define the official poverty line, a benchmark used in designing many social welfare programs. Incorrect estimates of calorie intake will have negative implications on the effectiveness of welfare programs aimed at reducing food insecurity. Findings from this study provide insights for further improvement in data collection regarding household-level consumption expenditures. The study has implications not only for India but also for other countries that use household-level consumption data to understand diets and to design food and nutrition programs.

Performance Analysis of Data Mining Algorithms

2019 ◽  
Vol 16 (9) ◽  
pp. 3849-3853
Author(s):  
Dar Masroof Amin ◽  
Atul Garg
Keyword(s):  
Data Mining ◽  
Big Data ◽  
Future Trend ◽  
Easy Access ◽  
Support Vector ◽  
Linear Discriminant ◽  
Data Mining Algorithms ◽  
Data Files ◽  
Using Data ◽  
Mining Algorithms

The globalisation of Internet is creating enormous amount of data on servers. The data created during last two years is itself equivalent to the data created during all these years. This exponential creation of data is due to the easy access to devices based on Internet of things. This information has become a source of predictive analysis for future happenings. The versatile use of computing devices is creating data of diverse nature and the analysts are predicting the future trend using data of their respective domain. The technology used to analyse the data has become a bottleneck over the time. The main reason behind this is that the rate with which the data is getting created is much more than the technology used to access the same. There are various mining techniques used to explore the useful information. In this research there is detailed analysis of how data is used and perceived by various data mining algorithms. Mining algorithms like Naïve Bayes, Support Vector Machines, Linear Discriminant Analysis Algorithm, Artificial Neural Networks, C4.5, C5.0, K-Nearest Neighbour are analysed. The input data used in these algorithms is big data files. This research mainly focuses on how the existing data algorithms are interacting with big data files. The research has been done on twitter comments.

Racialized Debts: Racial Exclusion From Credit Tools and Information Networks

2020 ◽  
pp. 089692051989463 ◽  
Author(s):  
Raphaël Charron-Chénier ◽  
Louise Seamster
Keyword(s):  
Racial Differences ◽  
Financial Literacy ◽  
Information Networks ◽  
Financial Health ◽  
Welfare Programs ◽  
Consumer Finances ◽  
Racial Exclusion ◽  
Using Data ◽  
Black Households ◽  
Debt Levels

Research on debt highlights its use as a tool for investment and a substitute for public welfare programs. Use of debt, however, is not equal across social groups. Black households in particular have lower debt levels than white households. In this paper, we explore the context behind massive racial disparities in household debt. Conceptually, we propose that personal debt is an indicator of integration in the financial system. As such, we argue that black households’ lower debt levels can be understood as financial isolation rather than financial health. We support this argument by using data from the Survey of Consumer Finances to estimate racial differences in access to financial tools net of racial differences in socioeconomic status, asset levels, and financial literacy. We also show that black households’ financial information networks are different from white households’ in ways that suggest restricted access to formal financial institutions.

CR10—A PUBLIC DATABASE OF COSMIC RADIATION MEASUREMENTS AT AVIATION ALTITUDES OF ABOUT 10 KM

2019 ◽  
Vol 186 (2-3) ◽  
pp. 224-228
Author(s):  
Martin Kákona ◽  
Dagmar Kyselová ◽  
Iva Ambrožová ◽  
Ján Kubančák ◽  
Václav Štěpán ◽  
...  
Keyword(s):  
Time Window ◽  
Radiation Detectors ◽  
Commercial Aircraft ◽  
Web Based ◽  
Model Calculations ◽  
Individual Measurement ◽  
Data Files ◽  
Using Data ◽  
Radiation Measurements

Abstract Long-term measurements using silicon radiation spectrometer Liulin on board commercial aircraft have been performed since 2001; results were put into a new database, which covers more than 4500 flights with more than 130 000 measurements. Methodology and tools were developed to normalize the data with respect to latitude and altitude and thus enable comparison with other radiation detectors and with model calculations. This capability is demonstrated using data from the neutron monitor at Lomnický štít. Instead of providing data files for individual measurement period, two software solutions are delivered. First is a web-based user interface for visualizing and downloading arbitrary time window of interest from the database hosted at http://cr10.odz.ujf.cas.cz. The second is a set of interactive Python notebooks available at GitHub. Those implement the calibration, normalization and visualization methods—so the outputs can be tailored to user needs. The software and data are provided under GNU/CC license.

scholarly journals ANALISIS MARGIN OF SAFETY USAHA PETERNAKAN PUYUH “MERRYLAND” DI DESA KALI KECAMATAN PINELENG KABUPATN MINAHASA

ZOOTEC ◽  
2018 ◽  
Vol 38 (1) ◽  
pp. 183
Author(s):  
Lisa Wangefela ◽  
N M Santa ◽  
A H.S Salendu ◽  
L S Kalangi
Keyword(s):  
Safety Margin ◽  
Secondary Data ◽  
Animal Husbandry ◽  
Primary Data ◽  
Economic Losses ◽  
Poultry Farm ◽  
District Office ◽  
Margin Of Safety ◽  
Using Data ◽  
Break Even Point

ABSTRACT ANALYSIS OF SAFETY  MARGIN ON “MERRYLAND” QUAIL POULTRY FARM AT KALI VILLAGE PINELENG DISTRICT OF MINAHASA REGENCY. The purpose of this study was to determine the break-even point of "Merryland" quail poultry farm and to determine the margin of safety of this farm. The research location was at the "Merryland" quail poultry farm on Kali village Pineleng district of Minahasa regency, with the consideration that the venture is a private farm enterprise. This farm enterprise had been operated more than 3 years. The number of birds held were 5000 chicken quail. This study was conducted during one month from December 10, 2016 to January 10, 2017. The method was applied using the case study method, in the form of primary data and secondary data. Primary data were using data obtained from interviews with the respondents through a list of questions that had been provided. Secondary data were obtained using variables at the office related to research data, including the Village Office, District Office, and Office of the Department of Agriculture / Animal Husbandry. Based on the survey, results indicated that quail poultry farm of "Merryland" had reached breakeven sales of 690,732 quail eggs or on sale of IDR259,589,665. If the breeder declined in egg sales, the number of eggs tolerated of farmers not sufferin economic losses were 58.8% of the total sales. Keywords : Quail, Margin Of Safety 

scholarly journals Perceptions of Welfare Recipient Fraud and Provider Fraud: A 20-Year Follow-Up

10.18060/194 ◽  
2001 ◽  
Vol 2 (1) ◽  
pp. 75-81
Author(s):  
Lucinda Lee Roff ◽  
David L. Klemmack ◽  
Debra M. McCallum ◽  
Michael B. Conaway
Keyword(s):  
Social Workers ◽  
Welfare Recipient ◽  
Index Score ◽  
Welfare Recipients ◽  
Welfare Programs ◽  
Government Programs ◽  
The Mean ◽  
The Government

This study replicated Roff & Klemmack's (1983) investigation of adult Alabamians' opinions regarding the degree to which welfare recipients and welfare employees defraud the government. The majority of the current respondents continue to see recipients as dishonest, but the mean recipient fraud index score dropped from 13.34 to 11.34. As was the case in the earlier study, beliefs that recipients defraud the government predicted lower support for government programs. The percentage of respondents who believed welfare employees to be dishonest doubled from 15.4% to 30.0% from 1981 to 2000, and the mean worker fraud index score increased from 4.14 to 7.02. Consistent with the previous study, beliefs that welfare employees are dishonest predicted higher, not lower, support for government programs and services. Social workers should be aware that a growing proportion of the population questions the integrity of those running welfare programs.

Tax Avoidance and Transfer Pricing

2021 ◽  
Vol 8 (2) ◽  
pp. 28-39
Author(s):  
Nikolaos Eriotis ◽  
Spyros Missiakoulis ◽  
Ioannis Dokas ◽  
Marios Tzavaras ◽  
Dimitrios Vasiliou
Keyword(s):  
Causal Relationship ◽  
Transfer Pricing ◽  
Tax Avoidance ◽  
Multinational Companies ◽  
Tax Burden ◽  
Tax Havens ◽  
The Past ◽  
Extensive Analysis ◽  
Using Data ◽  
International Character

Globalization has led multinational companies, beyond intensifying their competitiveness, to seek ways to maximize profits through tax avoidance. The international character enables them to transfer profits to tax havens or seek transactions that will enable them to avoid, postpone, or pay lower taxes. Although the previous allegations have been hypothesized by researchers, tax audits, and governments, it is difficult to prove due to the chaotic data and the causal relationship between variables. The present study compared the tax burden of 971 multinationals and 1,160 independent companies for the years 2010-2017 in Greece, using data from the Amadeus Tp-Catalyst database and confirmed previous research on significant differences in terms of profits and tax burdens. To the authors' knowledge, there has not been attempted such an extensive analysis for Greece in the past.

scholarly journals Brazilian Evidence on Tax Evasion and Enforcement: A Case Study of Global North–South Comparison

2021 ◽  
pp. 073401682110380
Author(s):  
Felippe Clemente ◽  
Viviani Silva Lírio ◽  
Temidayo James Aransiola
Keyword(s):  
Latin American ◽  
Tax Evasion ◽  
Special Focus ◽  
Tax Burden ◽  
Bayesian Games ◽  
Global North ◽  
Using Data ◽  
North And South ◽  
Latin American Countries

This study investigates the differences observed in the rate of tax evasion between the Global North and South countries, with special focus on Brazil, by comparing key parameters of their tax systems, namely, tax burden, audit cost, and fines. This is achieved by extending and applying Graetz, Reinganun, and Wilde’s model using data from tax authorities from European and Latin American countries, which produced parameters that are used for Bayesian games. The results show that tax evasion is directly associated with tax burden and audit cost, but the effect of fines is unclear. Overall, findings pointed to shortcomings in the tax system of Latin American countries that create the avenue for high tax evasion.

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