scholarly journals The Distribution of the Insurance Market Effects of Tort Liability Reforms

1998 ◽  
Vol 1998 ◽  
pp. 55 ◽  
Author(s):  
Patricia H. Born ◽  
W. Kip Viscusi ◽  
Dennis W. Carlton
Keyword(s):  
Insurance Market ◽  
Tort Liability ◽  
Market Effects

Hospital prices and market structure in the hospital and insurance industries

2010 ◽  
Vol 5 (4) ◽  
pp. 459-479 ◽  
Author(s):  
Asako S. Moriya ◽  
William B. Vogt ◽  
Martin Gaynor
Keyword(s):  
Health Care ◽  
Health Care Services ◽  
Market Concentration ◽  
Insurance Market ◽  
Hospital Services ◽  
Hospital Market ◽  
Market Effects ◽  
Transaction Prices ◽  
Care Services ◽  
The Relationship

AbstractThere has been substantial consolidation among health insurers and hospitals, recently, raising questions about the effects of this consolidation on the exercise of market power. We analyze the relationship between insurer and hospital market concentration and the prices of hospital services. We use a national US dataset containing transaction prices for health care services for over 11 million privately insured Americans. Using three years of panel data, we estimate how insurer and hospital market concentration are related to hospital prices, while controlling for unobserved market effects. We find that increases in insurance market concentration are significantly associated with decreases in hospital prices, whereas increases in hospital concentration are non-significantly associated with increases in prices. A hypothetical merger between two of five equally sized insurers is estimated to decrease hospital prices by 6.7%.

scholarly journals Insurance Market Effects of Risk Management Metrics

2010 ◽  
Vol 35 (1) ◽  
pp. 47-80 ◽  
Author(s):  
Carole Bernard ◽  
Weidong Tian
Keyword(s):  
Risk Management ◽  
Insurance Market ◽  
Market Effects

Prediction of Technical Reserves Based on Grey Model — GM(1,1): Evidence from Non-life Egyptian Insurance Market

2019 ◽  
Vol 10 (9) ◽  
pp. 852-860
Author(s):  
Mahmoud Elsayed ◽  
◽  
Amr Soliman ◽  
Keyword(s):  
System Theory ◽  
Grey System Theory ◽  
Insurance Market ◽  
Grey Model ◽  
Loss Ratio ◽  
Grey System ◽  
Mathematical Technique ◽  
Supervisory Authority ◽  
Error Ratio ◽  
Using Data

Grey system theory is a mathematical technique used to predict data with known and unknown characteristics. The aim of our research is to forecast the future amount of technical reserves (outstanding claims reserve, loss ratio fluctuations reserve and unearned premiums reserve) up to 2029/2030. This study applies the Grey Model GM(1,1) using data obtained from the Egyptian Financial Supervisory Authority (EFSA) over the period from 2005/2006 to 2015/2016 for non-life Egyptian insurance market. We found that the predicted amounts of outstanding claims reserve and loss ratio fluctuations reserve are highly significant than the unearned premiums reserve according to the value of Posterior Error Ratio (PER).

State Approaches to Premium Rate Reforms in the Individual Health Insurance Market

2014 ◽  
Author(s):  
Sabrina Corlette Corlette ◽  
Kevin W. Lucia Lucia ◽  
Justin Giovannelli Giovannelli
Keyword(s):  
Health Insurance ◽  
Insurance Market ◽  
Premium Rate ◽  
Individual Health ◽  
Health Insurance Market ◽  
The Individual

Implementing the Affordable Care Act: State Action to Reform the Individual Health Insurance Market

2014 ◽  
Author(s):  
Sabrina Corlette Corlette ◽  
Kevin W. Lucia Lucia ◽  
Justin Giovannelli Giovannelli
Keyword(s):  
Health Insurance ◽  
Affordable Care Act ◽  
Insurance Market ◽  
State Action ◽  
Individual Health ◽  
Health Insurance Market ◽  
The Affordable Care Act ◽  
The Individual

Analyzing the Insurance Market—Internal and External Factors

1992 ◽  
Vol 1992 (4) ◽  
pp. 72-80
Author(s):  
A. Michael Frinquelli
Keyword(s):  
External Factors ◽  
Insurance Market ◽  
Internal And External Factors

Studying the factors of regional insurance market development using the correlation and regression analysis

2020 ◽  
Vol 26 (7) ◽  
pp. 1610-1630
Author(s):  
E.L. Prokop'eva
Keyword(s):  
Regression Analysis ◽  
Federal District ◽  
Insurance Market ◽  
Market Development ◽  
Insurance Markets ◽  
Regression Equations ◽  
Factors Affecting ◽  
Correlation And Regression Analysis ◽  
Country Level ◽  
Inverse Effect

Subject. The article investigates and quantifies factors of insurance markets functioning in Russian regions, and reveals possibilities to manage them. Objectives. The purpose of the study is to substantiate regional factors that determine the specifics of regional insurance market development; to quantify them to increase the efficiency of regional insurance. Methods. The study draws on statistical methods, functional analysis, algorithm development, correlation and regression analysis. Results. I calculated coefficients of pair and multiple correlation with the indicators of insurance markets in the context of the subjects of the Russian Federation, and composed regression equations. Based on the analysis, I determined the algorithm for inverse effect of the insurance market on the economic, social, fiscal and environmental performance of the region, offered appropriate measures aimed at developing the economic potential of the region and its social sphere. Conclusions. The paper considers the case of the Republic of Khakassia, one of depressed subjects in the Siberian Federal District. The developed models can be used for other regions of Russia, given the geographical and economic features of development. The findings may help generate regional strategies for socio-economic development at the country level. The scientific contribution and the novelty of the work consist of systematizing and quantifying the factors affecting the insurance mechanisms of regional markets, and assessing the inverse effect of insurance mechanisms on integrated development of the region.

Sign in / Sign up

Export Citation Format

Share Document