expenditure data
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Author(s):  
Mohammad Mehdi Alemi ◽  
Athulya A. Simon ◽  
Jack Geissinger ◽  
Alan T. Asbeck

Despite several attempts to quantify the metabolic savings resulting from the use of passive back-support exoskeletons (BSEs), no study has modeled the metabolic change while wearing an exoskeleton during lifting. The objectives of this study were to: 1) quantify the metabolic reductions due to the VT-Lowe's exoskeleton during lifting; and 2) provide a comprehensive model to estimate the metabolic reductions from using a passive BSE. In this study, 15 healthy adults (13M, 2F) of ages 20 to 34 years (mean=25.33, SD=4.43) performed repeated freestyle lifting and lowering of an empty box and a box with 20% of their bodyweight. Oxygen consumption and metabolic expenditure data were collected. A model for metabolic expenditure was developed and fitted with the experimental data of two prior studies and the without-exoskeleton experimental results. The metabolic cost model was then modified to reflect the effect of the exoskeleton. The experimental results revealed that VT-Lowe's exoskeleton significantly lowered the oxygen consumption by ~9% for an empty box and 8% for a 20% bodyweight box, which corresponds to a net metabolic cost reduction of ~12% and ~9%, respectively. The mean metabolic difference (i.e., without-exo minus with-exo) and the 95% confidence interval were 0.36 and (0.2-0.52) [Watts/kg] for 0% bodyweight, and 0.43 and (0.18-0.69) [Watts/kg] for 20% bodyweight. Our modeling predictions for with-exoskeleton conditions were precise, with absolute freestyle prediction errors of <2.1%. The model developed in this study can be modified based on different study designs, and can assist researchers in enhancing designs of future lifting exoskeletons.


Author(s):  
Chayanika Mitra

This article attempts to capture gender bias in education expenditure among the religious (Hindu, Muslim and others) and the social groups (SC, ST and General) in West Bengal. Oaxaca–Blinder decomposition technique is used to obtain gender bias for a specific demographic group. Further, an attempt has been made to identify the religious or social groups with the acute problem of gender bias. In this work, 71st round (January–June 2014) education expenditure data (individual level) provided by NSSO (National Sample Survey Office) is used. JEL: I24, R1, C55


Author(s):  
David da Silva Nunes

This project aims to carry out a more specific field of Public Administration research in the studies on the measures of effectiveness measurement of public policies. Its objective is to verify whether there is a correlation between the HDI-M (municipal human development index) and IFDM (Firjan municipal development index) indices and the various municipal public expenditure groups. For this study, we will use public expenditure data and cited indicators from all 78 municipalities of Espírito Santo (ES), seeking, through the Pearson correlation statistic, to highlight the level of correlation between the volume of expenses. specific public policies applied between 2002 and 2010 and the results obtained in the HDI-M and IFDM 2010.


2021 ◽  
Author(s):  
Omid Mirzaei ◽  
David C. Natcher ◽  
Eric T. Micheels

Since 1973, 535 specific claims valued at more than $6 billion have been settled between the Government of Canada and First Nations governments for outstanding treaty obligations. Critics of specific land claims point to the absence of statistical evidence that shows a positive impact on First Nations economies and characterize specific claims as a multi-billion-dollar liability for Canadian taxpayers. This research shows that the economic benefits of specific claims are being lost to First Nations economies through high rates of economic leakage, especially in cases in which large proportions of the settlement funds are disbursed on a per capita basis. Collaborating with the Little Red River Cree Nation (LRRCN) in Alberta (a recent recipient of a $239 million settlement), we use household expenditure data, band-owned businesses’ financial statements, and band administration audit reports to estimate their rate of economic leakage and the economic impact of their specific claims settlement. Results indicate that the economic leakage rate for the LRRCN is 83.5 percent. Using household expenditure data and input–output models, we estimate the economic impact of the LRRCN settlement. Assuming a 100 percent per capita disbursal of the funds, the settlement would contribute $275–$339 million in provincial output, $172–$212 million in gross domestic product, and $110–$127 billion in labour income, and it would create 2,393–2,714 full-time jobs. The results of this research may be of value to First Nations leaders in making decisions concerning the distribution and investment of specific claims settlements in the future.


2021 ◽  
pp. 004728752110545
Author(s):  
Consuelo Rubina Nava ◽  
Linda Osti ◽  
Maria Grazia Zoia

Many tourism destinations aim at expanding their market share of high spending visitors by shifting from quantity to quality. The COVID-19 pandemic has forced the introduction of social distancing requiring hotspots and mass destinations to reduce their capacity. This paper proposes a two-step approach for identifying top spending European countries over time, distinguishing between leisure and business travelers. The methodology employs the Country Product Dummy index with a hierarchical clusterization, enriched by a convergence analysis. This approach overcomes general shortcomings of descriptive statistics and cluster analyses directly applied to raw expenditure data. The outcomes of this analysis provide a detailed picture of the European travelers’ expenditure across time and geographical area. The identified top spending countries of leisure and business travelers can be targeted through ad-hoc marketing campaigns and specific packages for privileging quality tourism and planning economic recovery in the post-COVID-19 reopening phase, while shifting away from mass tourism.


Pharmacy ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 157
Author(s):  
Prashant Sakharkar ◽  
Thanh Mai

The existing literature is limited on the prevalence of depression among people with respiratory conditions and person-level factors that are associated with increased healthcare utilization and expenditures. The aim of this study was to explore the prevalence, pattern of healthcare use, and expenditures in noninstitutionalized individuals having co-occurring depression with respiratory conditions. The Medical Expenditure Panel Survey (MEPS) data from 2011 to 2017 was used in this study. Our sample included individuals having respiratory conditions (asthma, emphysema, and chronic bronchitis) with and without depression. Healthcare use and expenditure data were analyzed using a chi-square test, t-tests, and multiple linear regression analyses. There were 8848 individuals in the study. The prevalence of comorbid depression was 20%. Individuals with co-occurring depression with respiratory conditions differed significantly from individuals without co-occurring depression for age ≥ 45 years, white, and with ≤2 chronic disease conditions. Depressed individuals with respiratory conditions had higher healthcare utilization and expenditures. The presence of co-occurring depression with respiratory conditions increases the treatment complexity, healthcare utilization, and expenditure. Better treatment and management of these patients may reduce healthcare use and expenditures in the future.


2021 ◽  
pp. 150-172
Author(s):  
Cathal O'Donoghue

Indirect taxation refers to taxation that is levied on expenditure rather than on income and is one of the most important sources of revenue for governments, particularly in middle- and low-income countries. As a result, indirect taxation is frequently included in microsimulation models. These models differ from those described thus far in that they involve the use of data that contains expenditures in addition to incomes. This chapter describes the theoretical structure of a number of different types of indirect taxation. A challenge to the simulation of indirect taxation arises in that the base datasets of microsimulation models typically do not include expenditure data. A relatively simple method for combining income and expenditure data is described. As changes in indirect taxation affect the relative prices of goods, there will either be a change in consumption patterns or a change in savings. A method to model behavioural response when modelling indirect taxation is discussed. These methods are then utilized to describe some descriptive measures for the distributional attributes of consumption and some directions for policy reform. The framework developed in this chapter is then used to model the welfare impact of changes to indirect taxation in an example simulation.


2021 ◽  
Vol 19 (9) ◽  
pp. 1021-1026
Author(s):  
Terrell Johnson ◽  
Michelle McMurry-Heath ◽  
Ted Okon ◽  
David Rubin ◽  
Robert W. Carlson

The cost of delivering high-quality healthcare in America now consumes 17.7% of the nation’s gross domestic product according to Centers for Medicare & Medicaid Services National Health Expenditure Data. With costs threatening to disrupt accessible and equitable care for patients, policymakers are reassessing all matters and functions of the healthcare system to excise waste, redundancies, and costly services. To explore this subjects’ impact on oncology, NCCN hosted the NCCN Policy Summit: Innovative Solutions to Drive Down Healthcare Costs: Implications for Access to High Quality Cancer Care. This virtual summit featured multidisciplinary panel discussions and keynote addresses. Seeking to address barriers to low-cost, high-quality cancer care, panelists and keynotes presented innovative policy solutions to sustain high-quality oncologic care at lower costs to the health system. This article encapsulates the discussions held during the summit and expounds upon salient points where appropriate.


2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Xin Zhang ◽  
Ju-Fang Shi ◽  
Guo-Xiang Liu ◽  
Jian-Song Ren ◽  
Lan-Wei Guo ◽  
...  

Abstract Background Lung cancer is the most prevalent cancer, and the leading cause of cancer-related deaths in China. The aim of this study was to estimate the direct medical expenditure incurred for lung cancer care and analyze the trend therein for the period 2002–2011 using nationally representative data in China Methods This study was based on 10-year, multicenter retrospective expenditure data collected from hospital records, covering 15,437 lung cancer patients from 13 provinces diagnosed during the period 2002–2011. All expenditure data were adjusted to 2011 to eliminate the effects of inflation using China’s annual consumer price index. Results The direct medical expenditure for lung cancer care (in 2011) was 39,015 CNY (US$6,041) per case, with an annual growth rate of 7.55% from 2002 to 2011. Drug costs were the highest proportionally in the total medical expenditure (54.27%), followed by treatment expenditure (14.32%) and surgical expenditure (8.10%). Medical expenditures for the disease varied based on region, hospital level, type, and stage. Conclusion The medical expenditure for lung cancer care is substantial in China. Drug costs and laboratory test are the main factors increasing medical costs.


Mathematics ◽  
2021 ◽  
Vol 9 (15) ◽  
pp. 1816
Author(s):  
María Concepción Vega-Hernández ◽  
Carmen Patino-Alonso

Governments serve a variety of purposes, and where governments spend their money has always been of concern to society. In particular, spending on public education is of great interest. However, the volume of this information can be difficult to manage. Therefore, the purpose of this work is to compare the COSTATIS method and generalized Procrustes analysis (GPA) when working with multi-way data. Despite the particular characteristics of each of them, they present similarities and differences that, when analyzed together, can provide complementary results to researchers. The COSTATIS consists of a co-inertia analysis of the compromise of two k-table analyses. The GPA method provides an optimal superimposed representation of individual configurations, and a common consensus configuration is constructed as the mean of all transformed configurations. In addition, the GPA method includes the translation, rotation and scaling of coordinates. In this study, both methods were applied, and the advantages and disadvantages of each are presented. The treated data are a sequence of tables from various countries where different public expenditures on education have been measured over time.


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