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Registros recuperados: 19
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Efficiency Analysis of Rural Hospitals: Parametric and Semi-parametric Approaches AgEcon
Nedelea, I. Cristian; Fannin, James Matthew.
This paper examined cost efficiency differences between rural hospitals participating in the Critical Access Hospital (CAH) Program and a group of non-converting, prospectively paid rural hospitals using both a two-stage semi-parametric approach as well as stochastic frontier analysis (SFA). CAHs receive Medicare cost-based reimbursement, in contrast with the rest of the hospitals reimbursed under Medicare prospective payment system (PPS). However, cost-based reimbursement has been associated with inefficiency in hospital operations and, consequently, concerns have been raised about the efficiency of CAHs. Results showed a positive and significant effect of CAH status on cost inefficiency under both model specifications suggesting that CAHs were less...
Tipo: Presentation Palavras-chave: Rural hospitals; Efficiency; SFA; Two-stage approach; Community/Rural/Urban Development; Health Economics and Policy; Production Economics; Productivity Analysis; Public Economics; Research Methods/ Statistical Methods; I18.
Ano: 2012 URL: http://purl.umn.edu/119725
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Determinants of Cost Inefficiency of Critical Access Hospitals: A Two-stage, Semi-parametric Approach AgEcon
Nedelea, I. Cristian; Fannin, James Matthew.
This study examines, post-conversion, cost inefficiency of Critical Access Hospitals (CAH) using a two-stage approach. While the results suggest that Medicare cost-based reimbursement and longer participation in the CAH program may increase the cost inefficiency of CAHs, the extent of this inefficiency increase is lower than what previous literature showed.
Tipo: Conference Paper or Presentation Palavras-chave: Critical Access Hospitals; Cost inefficiency; Two-stage approach; Bootstrap; Community/Rural/Urban Development; Health Economics and Policy; Production Economics; I18.
Ano: 2011 URL: http://purl.umn.edu/98643
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An application of the two-stage, semi-parametric approach with double bootstrap to analyze technical efficiency of Critical Access Hospitals AgEcon
Nedelea, I. Cristian; Fannin, James Matthew.
This study examines technical efficiency of Critical Access Hospitals (CAH) using a two-stage approach and bootstrap procedures for making valid inference about the impact of environmental variables on CAH efficiency. In the first stage, a data envelopment analysis (DEA) efficiency estimator is used to estimate technical efficiency of each hospital in the sample. In the second stage, efficiency scores are regressed on environmental variables using a truncated regression with bootstrap. Alternatively, a double bootstrap procedure is used, where bias-corrected DEA efficiency scores, obtained by means of bootstrap in the first stage, are used in the second stage bootstrapped truncated regression. While both procedures provide valid inference in the second...
Tipo: Conference Paper or Presentation Palavras-chave: Critical Access Hospitals; Efficiency; Two-stage approach; Bootstrap; Health Economics and Policy.
Ano: 2011 URL: http://purl.umn.edu/103606
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An Alternative Model for Analyzing the Physician-Hospital Relationship in Rural Areas AgEcon
Fannin, James Matthew; Barnes, James N..
We introduce a modeling framework called Transaction Cost Economics to help decision makers in rural health care markets choose among alternative organizational relationships in order to more cost-effectively deliver healthcare services. In particular, the hospital-physician relationship is analyzed and the transactional attributes, institutional environment, and market characteristics are identified as key variables influencing the organizational relationship between hospital and physician. As asset specfic investments are made by either the hospital or physician, vertically integrated relationships are more likely to occur. The degree of remoteness of rural areas is also considered to affect the impact of these asset-specific investments.
Tipo: Conference Paper or Presentation Palavras-chave: Community/Rural/Urban Development; Health Economics and Policy.
Ano: 2006 URL: http://purl.umn.edu/35255
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ECONOMIC IMPACT ESTIMATION USING BOOTSTRAP SAMPLES OBTAINED FROM INTERNET AND INTERCEPT SURVEY DATA AgEcon
Devkota, Nirmala; Fannin, James Matthew; Paudel, Krishna P..
One of the challenges in estimating economic impacts of recreational activity and natural resource use is collecting survey data when the underlying population is not perfectly known. We combine bootstrapping techniques with input output analysis to estimate impacts from recreational activity at a barrier island in Louisiana. Per capita expenditure point estimates are bootstrapped and the 1,000 bootstrapped samples are shocked into an input output model to develop confidence intervals of economic impacts between the two surveys. Results show that for many sectors of the economy, confidence intervals do not overlap between survey modes. These results suggest that researchers using multiple survey modes should think carefully about how both the mode and...
Tipo: Conference Paper or Presentation Palavras-chave: Resource /Energy Economics and Policy.
Ano: 2006 URL: http://purl.umn.edu/21150
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Incorporating State Elementary and Secondary School Funding Formulas in Community Impact Models AgEcon
Adhikari, Arun; Fannin, James Matthew.
Tipo: Conference Paper or Presentation Palavras-chave: COMPAS modeling; Public school finance; Labor markets; Revenue capacity; Community/Rural/Urban Development; Public Economics; I22.
Ano: 2010 URL: http://purl.umn.edu/56690
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Factors Affecting Outsourcing for Information Technology Services in Rural Hospitals: Theory and Evidence AgEcon
Whitacre, Brian E.; Fannin, James Matthew; Barnes, James N..
As health information technology becomes more prevalent for most healthcare facilities, hospitals across the nation are choosing between performing this service in-house and outsourcing to a technology firm in the health industry. This paper examines factors affecting the information technology (IT) outsource decision for various hospitals. Using 2004 data from the American Hospital Association, logistic regression models find that governmental ownership and a proxy variable for hospitals that treat more severe injuries positively impact the probability of outsourcing for IT services.
Tipo: Conference Paper or Presentation Palavras-chave: Health Information Technology; Outsourcing; Hospital; Health Economics and Policy; Labor and Human Capital; Research and Development/Tech Change/Emerging Technologies; I12; C140.
Ano: 2008 URL: http://purl.umn.edu/6393
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Calibrating Online Survey Sample for Economic Impact Analysis AgEcon
Devkota, Nirmala; Paudel, Krishna P.; Fannin, James Matthew; Hall, Larry M.; Caffey, Rex H..
Online surveys have emerged as low-cost data collection approach in empirical researches; however, the validity of data remains questionable. Therefore, we employed a stochastic frontier estimation method to calibrate online recreational expenditure. Study results suggested the presence of inefficiency on online surveys. Analysis was extended to estimate economic impact of nature based recreation on a local economy.
Tipo: Conference Paper or Presentation Palavras-chave: Calibration; Online survey; Onsite survey; Stochastic frontier approach; Research Methods/ Statistical Methods; Resource /Energy Economics and Policy.
Ano: 2007 URL: http://purl.umn.edu/34997
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Impacts of a Changing Rural Economy on Farm Businesses and Households (PowerPoint) AgEcon
Fannin, James Matthew.
Tipo: Conference Paper or Presentation Palavras-chave: Community/Rural/Urban Development.
Ano: 2009 URL: http://purl.umn.edu/50604
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Measuring the Relative Profitability of Mid-South Cotton Production from an Alternative Gin Seed Rebate Model AgEcon
Fannin, James Matthew; Paxton, Kenneth W..
The purpose of this paper is to assess the opportunity returns forgone to cotton producers in the lower Mid-South region of the United States for growing cotton, compared to alternative commodities. We calculate the actual net returns per acre for selected cotton-producing counties in Arkansas, Louisiana, and Mississippi. In addition, we calculate the opportunity returns per acre if the acres planted in cotton were planted in the highest net return commodity per acre between corn and soybeans during the period 1997 through 2008. Our results find that producers in these cotton producing-counties faced sizeable opportunity revenues foregone averaging 43% between 2003 and 2008. Most observers of the cotton industry would argue that these foregone revenues are...
Tipo: Conference Paper or Presentation Palavras-chave: Cotton ginning; Returns above variable costs; Cotton; Corn; Soybeans; Production Economics; Q10.
Ano: 2011 URL: http://purl.umn.edu/98794
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New Estimation Strategies for Demand Threshold Models in the Southern United States AgEcon
Hong, Junpyo; Fannin, James Matthew.
This paper estimates demand threshold models using both first generation log-log models and second generation Tobit models to zip code areas in the Southern US. Results of own-place demographic and economic variables were consistent with previous studies but impacts of neighboring zip codes contrasted previous studies.
Tipo: Conference Paper or Presentation Palavras-chave: Demand Threshold Analysis; Central Place Theory; Demand and Price Analysis; R120.
Ano: 2007 URL: http://purl.umn.edu/34869
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On the Uniqueness of Hybrids, Market Exchanges, and Vertical Integration: Evidence from Physician-Hospital Marketing Relationships AgEcon
Barnes, James N.; Fannin, James Matthew; James, Harvey S., Jr.; Klein, Peter G..
Tipo: Conference Paper or Presentation Palavras-chave: Physician arrangements; Vertical integration; Hybrid contracts; Cannonical discriminant analysis; Health Economics and Policy; Institutional and Behavioral Economics; I11.
Ano: 2010 URL: http://purl.umn.edu/56539
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Red Light Ahead: Preparing Local Governments Financially for the Next Disaster AgEcon
Fannin, James Matthew; Detre, Joshua D..
Tipo: Article Palavras-chave: Disaster Resiliency; Financial Health; Local Government; Public Wealth; Community/Rural/Urban Development; Public Economics; H83; H84.
Ano: 2012 URL: http://purl.umn.edu/122804
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Analyzing Differences in Rural Hospital Efficiency: A Data Envelopment Analysis Approach AgEcon
Nedelea, I. Cristian; Fannin, James Matthew; Barnes, James N..
This study analyzes difference in efficiency among the U.S. rural hospitals using a two-stage, semi-parametric approach. Data Envelopment Analysis is used in the first stage to calculate cost, technical and allocative efficiencies of Critical Access Hospitals (CAH) and non-CAH rural hospitals. Following Simar and Wilson (2007), bootstrapped truncated regressions are used in the second stage to infer on relationship between the cost, technical and allocative inefficiencies of hospitals and some environmental variables. The estimated results show that CAHs are less cost, technical and allocative efficient than non-CAH rural hospitals. The results also show that Medicare cost-based reimbursement for CAHs has a negative effect on the efficiency of these...
Tipo: Conference Paper or Presentation Palavras-chave: Efficiency; Two-stage; Semi-parametric; Bootstrap; Data envelopment analysis; Health Economics and Policy; I12; I18.
Ano: 2010 URL: http://purl.umn.edu/61391
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Understanding the Interaction Between Cotton Ginning and Rural Economics in the Mid-South Under A Changing Cotton Environment AgEcon
Fannin, James Matthew; Paxton, Kenneth W.; Valco, Thomas.
This study estimates economic impact of ginning on Mid-South states applying input-output analysis to gin cost data. Results indicated that cotton ginning activity in the Mid-South generated over $258 million in direct output effects during 2007 and $438 million in total effects with a multiplier of 2.39.
Tipo: Conference Paper or Presentation Palavras-chave: Cotton; Cotton ginning; Economic impact; Multiplier; Mid-South; Input-output; Agribusiness; Community/Rural/Urban Development; R15.
Ano: 2009 URL: http://purl.umn.edu/46823
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Cost Efficiency of Critical Access Hospitals AgEcon
Nedelea, I. Cristian; Fannin, James Matthew; Barnes, James N..
This study used a stochastic frontier cost model to analyze whether the policy changes that created Critical Access Hospitals (CAHs) caused an increase in the cost inefficiency of these hospitals or their cost inefficiency was brought about by other factors that were similar to all rural hospitals. The estimated mean cost inefficiency of CAH was 25 percent while that of non-CAH rural hospitals was 17.6 percent. However, the estimated results did not provide sufficient evidence to conclude that Medicare cost-based reimbursement was the main cause of higher cost inefficiency of CAHs. There might be other causes that can explain the higher cost inefficiency of CAHs such as the larger number of Medicaid and uninsured patients and the higher levels of...
Tipo: Conference Paper or Presentation Palavras-chave: Critical access hospital; Rural hospital; Cost efficiency; Stochastic frontier model; Community/Rural/Urban Development; Health Economics and Policy; I18.
Ano: 2010 URL: http://purl.umn.edu/56228
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Reform of Physician Ownership Restrictions and the Cost of Health Care in Rural and Urban Markets AgEcon
Barnes, James N.; Fannin, James Matthew.
Tipo: Journal Article Palavras-chave: Health Economics and Policy; Labor and Human Capital.
Ano: 2009 URL: http://purl.umn.edu/93842
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Estimating Labor and Fiscal Impacts using Louisiana Community Impact Model: Comparing Panel Model and Three Stage Least Squares (3SLS) AgEcon
Adhikari, Arun; Fannin, James Matthew.
Tipo: Conference Paper or Presentation Palavras-chave: Labor market; COMPAS model; Forecasting performance; 3sls; Panel; Community/Rural/Urban Development; R1.
Ano: 2011 URL: http://purl.umn.edu/103831
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Measuring Fiscal Effects Based on Changes in Deepwater Off-Shore Drilling Activities AgEcon
Boen, Caroline; Adhikari, Arun; Fannin, James Matthew; Keithly, Walter R., Jr..
This paper accomplishes two objectives. First, this paper estimates a model for oil wells drilled in the Gulf of Mexico using specific time series models. In the second objective, the number of wells drilled are applied to the COMPAS model for Louisiana. Wells drilled are treated as final demand in an input-output model framework to estimate exogenous changes in employment demand. This demand is then applied to a block recursive labor force module that measures changes in key labor market variables. These variables then serve as exogenous variables in revenue capacity equations. These revenue capacity variables are finally applied to local government expenditure demand equations. Per capita demand changes for key local government variables are then...
Tipo: Conference Paper or Presentation Palavras-chave: Oil and gas drilling; Fiscal effects; Public expenditure demands; COMPAS models; Time series models; Public Economics; Resource /Energy Economics and Policy; Q43.
Ano: 2011 URL: http://purl.umn.edu/98799
Registros recuperados: 19
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