scholarly journals Consolidation in the dental industry: a closer look at dental payers and providers

2019 ◽  
Vol 20 (2) ◽  
pp. 145-162
Author(s):  
Kamyar Nasseh ◽  
John R. Bowblis ◽  
Marko Vujicic ◽  
Sean Shenghsiu Huang
Keyword(s):  
The United States ◽  
Market Concentration ◽  
Insurance Market ◽  
Service Organization ◽  
Management Service ◽  
Dental Insurance ◽  
Dental Management ◽  
Level Data ◽  
Dental Practices ◽  
Management Service Organization

Abstract We examine the effect of commercial dental insurance concentration on the size of dental practices, the decision of dentists to own a practice, and the choice of dentists to work at a dental management service organization—a type of corporate group practice that has become more prevalent in the United States in recent years. Using 2013–2015 dentist-level data from the American Dental Association, county-level data on firms and employment from the United States Census, and commercial dental insurance market concentration data from FAIR Health®, we find a modest effect of dental insurance market concentration on the size of dental practices. We also find that a higher level of commercial dental insurance market concentration is associated with a dentist’s decision not to own a practice. There is inconclusive evidence that higher levels of dental insurance market concentration impact a dentist’s decision to affiliate with a dental management service organization. Overall, our findings imply that dentists consolidate in response to increases in concentration among commercial dental insurers.

Indian Life Insurance Market and Corporate Performances: A Study of Selected Firms

2016 ◽  
Vol 4 (1) ◽  
Author(s):  
Joy Chakraborty ◽  
Partha Pratim Sengupta
Keyword(s):  
Market Share ◽  
Life Insurance ◽  
Market Concentration ◽  
Insurance Market ◽  
Insurance Companies ◽  
Insurance Company ◽  
Life Insurance Company ◽  
Insurance Sector ◽  
Life Insurers ◽  
Company Limited

In the pre-reform era, Life Insurance Corporation of India (LICI) dominated the Indian life insurance market with a market share close to 100 percent. But the situation drastically changed since the enactment of the IRDA Act in 1999. At the end of the FY 2012-13, the market share of LICI stood at around 73 percent with the number of players having risen to 24 in the countrys life insurance sector. One of the reasons for such a decline in the market share of LICI during the post-reform period could be attributed to the increasing competition prevailing in the countrys life insurance sector. At the same time, the liberalization of the life insurance sector for private participation has eventually raised issues about ensuring sound financial performance and solvency of the life insurance companies besides protection of the interest of policyholders. The present study is an attempt to evaluate and compare the financial performances, solvency, and the market concentration of the four leading life insurers in India namely the Life Insurance Corporation of India (LICI), ICICI Prudential Life Insurance Company Limited (ICICI PruLife), HDFC Standard Life Insurance Company Limited (HDFC Standard), and SBI Life Insurance Company Limited (SBI Life), over a span of five successive FYs 2008-09 to 2012-13. In this regard, the CARAMELS model has been used to evaluate the performances of the selected life insurers, based on the Financial Soundness Indicators (FSIs) as published by IMF. In addition to this, the Solvency and the Market Concentration Analyses were also presented for the selected life insurers for the given period. The present study revealed the preexisting dominance of LICI even after 15 years since the privatization of the countrys life insurance sector.

Estimating the Electoral Effects of Voter Turnout

2010 ◽  
Vol 104 (2) ◽  
pp. 268-288 ◽  
Author(s):  
THOMAS G. HANSFORD ◽  
BRAD T. GOMEZ
Keyword(s):  
Voter Turnout ◽  
Instrumental Variable ◽  
Presidential Elections ◽  
Empirical Test ◽  
The United States ◽  
Electoral Outcomes ◽  
Level Data ◽  
Electoral Choice ◽  
High Turnout ◽  
Specific Factors

This article examines the electoral consequences of variation in voter turnout in the United States. Existing scholarship focuses on the claim that high turnout benefits Democrats, but evidence supporting this conjecture is variable and controversial. Previous work, however, does not account for endogeneity between turnout and electoral choice, and thus, causal claims are questionable. Using election day rainfall as an instrumental variable for voter turnout, we are able to estimate the effect of variation in turnout due to across-the-board changes in the utility of voting. We re-examine the Partisan Effects and Two-Effects Hypotheses, provide an empirical test of an Anti-Incumbent Hypothesis, and propose a Volatility Hypothesis, which posits that high turnout produces less predictable electoral outcomes. Using county-level data from the 1948–2000 presidential elections, we find support for each hypothesis. Failing to address the endogeneity problem would lead researchers to incorrectly reject all but the Anti-Incumbent Hypothesis. The effect of variation in turnout on electoral outcomes appears quite meaningful. Although election-specific factors other than turnout have the greatest influence on who wins an election, variation in turnout significantly affects vote shares at the county, national, and Electoral College levels.

scholarly journals Firm Size and Employment during the Pandemic

2021 ◽  
Vol 7 ◽  
pp. 237802312199260
Author(s):  
Ken-Hou Lin ◽  
Carolina Aragão ◽  
Guillermo Dominguez
Keyword(s):  
United States ◽  
Labor Market ◽  
Firm Size ◽  
The United States ◽  
Market Concentration ◽  
Job Security ◽  
Wage Premium ◽  
Small Enterprises ◽  
Policy Responses ◽  
Industrial Context

Previous studies have established that firm size is associated with a wage premium, but the wage premium has declined in recent decades. The authors examine the risk for unemployment by firm size during the initial outbreak of coronavirus disease 2019 in the United States. Using both yearly and state-month variation, the authors find greater excess unemployment among workers in small enterprises than among those in larger firms. The gaps cannot be entirely attributed to the sorting of workers or to industrial context. The firm size advantage is most pronounced in sectors with high remotability but reverses in the sectors most affected by the pandemic. Overall, these findings suggest that firm size is linked to greater job security and that the pandemic may have accelerated prior trends regarding product and labor market concentration. They also point out that the initial policy responses did not provide sufficient protection for workers in small and medium-sized businesses.

scholarly journals Timing of social distancing policies and COVID-19 mortality: county-level evidence from the U.S.

2021 ◽  
Author(s):  
Catalina Amuedo-Dorantes ◽  
Neeraj Kaushal ◽  
Ashley N. Muchow
Keyword(s):  
New York ◽  
Political Ideology ◽  
Death Rate ◽  
The United States ◽  
County Level ◽  
Level Data ◽  
Level Information ◽  
Alternative Measures ◽  
The U.S ◽  
Pharmaceutical Interventions

AbstractUsing county-level data on COVID-19 mortality and infections, along with county-level information on the adoption of non-pharmaceutical interventions (NPIs), we examine how the speed of NPI adoption affected COVID-19 mortality in the United States. Our estimates suggest that adopting safer-at-home orders or non-essential business closures 1 day before infections double can curtail the COVID-19 death rate by 1.9%. This finding proves robust to alternative measures of NPI adoption speed, model specifications that control for testing, other NPIs, and mobility and across various samples (national, the Northeast, excluding New York, and excluding the Northeast). We also find that the adoption speed of NPIs is associated with lower infections and is unrelated to non-COVID deaths, suggesting these measures slowed contagion. Finally, NPI adoption speed appears to have been less effective in Republican counties, suggesting that political ideology might have compromised their efficacy.

scholarly journals Economic Competition and Racial/Ethnic Disparities in Sentencing: A Test of Economic Threat Perspective

2021 ◽  
Vol 10 (6) ◽  
pp. 206
Author(s):  
Christopher D’Amato ◽  
Bryan Holmes ◽  
Ben Feldmeyer
Keyword(s):  
Ethnic Disparities ◽  
The United States ◽  
Sentence Length ◽  
Multilevel Regression ◽  
United States Census ◽  
United States Census Bureau ◽  
Economic Competition ◽  
Economic Threat ◽  
Level Data ◽  
Racial Ethnic

Economic threat arguments within the broader racial/ethnic threat theory suggest that economic competition between minorities and Whites encourages the majority group to apply formal social controls on minorities to maintain their advantaged positions. Prior sentencing research has given limited attention to economic threat and has only done so using cross-sectional measures, which does not capture changing economic circumstances (a key element of racial/ethnic threat). The goal of this study is to provide a test of economic threat—and racial/ethnic threat more broadly—utilizing time variant measures. To achieve this goal, we use case-level data from the Minnesota Sentencing Guidelines Commission (N = 122,666) and county-level data from the United States Census Bureau. Multilevel regression models reveal partial but limited support for economic threat. Specifically, counties with a growing portion of minorities living above the poverty line between 2000 and 2010 had larger minority disadvantages (in comparison to Whites) at incarceration. However, economic threat measures do not significantly contextualize minority–White sentence length differences, while the broader racial/ethnic threat measures do not significantly influence minority–White outcomes at the incarceration or sentencing length decision. The results suggest that economic threat may explain a small but limited portion of the racial disparities identified.

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