The Determination of the Rating Regression Model in Construction

Import 22/07/2015Tématem diplomové práce je stanovení regresního ratingového modelu ve stavebnictví. Model je stanovován pomocí metody logistické regrese v programu SPSS. V diplomové práci je odhadován co nejvhodnější model pro predikci bankrotu ve stavebnictví. K odhadu vhodného regresního ratingového modelu je použit vzorek 100 vybraných firem z České republiky, které podnikají v oblasti stavebnictví. Diplomová práce je rozdělena na pět částí včetně úvodu a úvěru. Teoretická východiska regresních metod jsou popsána ve druhé kapitole práce. Třetí kapitola je věnována charakteristice odvětví stavebnictví. Ve čtvrté části práce je provedeno stanovení regresních ratingových modelů a zároveň je vybrán nejvhodnější model.The topic of this Thesis is to determinate the rating regression model in construction. The model is determined using logistic regression in the programm SPSS. To estimate an appropriate regression rating model is used a sample of 100 selected companies from the Czech Republic that operate in the field of construction. The thesis is divided into five parts, including the introduction and a conclusion. Theoretical basis of regression methods are described in the second chapter of the thesis. The third chapter is devoted the characteristics of the construction sector. The fourth section is conducted to determine the rating of regression models, and selected the most suitable model.154 - Katedra financívýborn

Economic burden of cancer in India: Evidence from cross-sectional nationally representative household survey, 2014

<div><p>With the ongoing demographic and epidemiological transition, cancer is emerging as a major public health concern in India. This paper uses nationally representative household survey to examine the overall prevalence and economic burden of cancer in India. The age-standardized prevalence of cancer is estimated to be 97 per 100,000 persons with greater prevalence in urban areas. The evidence suggests that cancer prevalence is highest among the elderly and also among females in the reproductive age groups. Cancer displays a significant socioeconomic gradient even after adjusting for age-sex specifics and clustering in a multilevel regression framework. We find that out of pocket expenditure on cancer treatment is among the highest for any ailment. The average out of pocket spending on inpatient care in private facilities is about three-times that of public facilities. Furthermore, treatment for about 40 percent of cancer hospitalization cases is financed mainly through borrowings, sale of assets and contributions from friends and relatives. Also, over 60 percent of the households who seek care from the private sector incur out of pocket expenditure in excess of 20 percent of their annual per capita household expenditure. Given the catastrophic implications, this study calls for a disease-based approach towards financing such high-cost ailment. It is suggested that universal cancer care insurance should be envisaged and combined with existing accident and life insurance policies for the poorer sections in India. In concluding, we call for policies to improve cancer survivorship through effective prevention and early detection. In particular, greater public health investments in infrastructure, human resources and quality of care deserve priority attention.</p></div

Percentage of households incurring catastrophic expenditure (> 10, >20 and >40 percent of annual per capita household expenditure) on cancer hospitalization by demographic and socioeconomic background characteristics, India: NSS 2014.

<p>Percentage of households incurring catastrophic expenditure (> 10, >20 and >40 percent of annual per capita household expenditure) on cancer hospitalization by demographic and socioeconomic background characteristics, India: NSS 2014.</p

Cancer prevalence per 100,000 persons by background characteristics and place of residence, India, National Sample Survey, 2014.

<p>Cancer prevalence per 100,000 persons by background characteristics and place of residence, India, National Sample Survey, 2014.</p

Multilevel logistic regression estimates regarding association of socio-economic background with cancer prevalence and cancer hospitalization in private sector in India, NSS 2014.

<p>Multilevel logistic regression estimates regarding association of socio-economic background with cancer prevalence and cancer hospitalization in private sector in India, NSS 2014.</p

Percentage of cancer patient households reporting use of distressed financing as a major source, by wealth quintiles and public and private sector treatment, India, 2014.

<p>Percentage of cancer patient households reporting use of distressed financing as a major source, by wealth quintiles and public and private sector treatment, India, 2014.</p

Average OOP hospitalization expenditure per cancer patient by background characteristics and public and private sector treatment, India National Sample Survey 2014.

<p>Average OOP hospitalization expenditure per cancer patient by background characteristics and public and private sector treatment, India National Sample Survey 2014.</p

Percentage coverage of different ICDS services among mothers of SAM and Non-SAM children, NFHS 5.

Percentage coverage of different ICDS services among mothers of SAM and Non-SAM children, NFHS 5.</p

Determinants of SAM coverage under ICDS and total coverage under ICDS, NFHS 5.

Determinants of SAM coverage under ICDS and total coverage under ICDS, NFHS 5.</p

Percentage coverage of different ICDS services among SAM and Non-SAM children, NFHS 5.

Percentage coverage of different ICDS services among SAM and Non-SAM children, NFHS 5.</p