Does quality influence choice of general practitioner? An analysis of matched doctor-patient panel data

The impact of quality on the demand facing health care providers has important implications for the industrial organization of health care markets. In this paper we study the consumers' choice of general practitioner (GP) assuming they are unable to observe the true quality of GP services. A panel data set for 484 Norwegian GPs, with summary information on their patient stocks, renders the opportunity to identify and measure the impact of GP quality on the demand, accounting for patient health heterogeneity in several ways. We apply modeling and estimation procedures involving latent structural variables, inter alia, a LISREL type of model, is used. The patient excess mortality rate at the GP level is one indicator of the quality. We estimate the effect of this quality variable on the demand for each GP's services. Our results, obtained from two different econometric model versions, indicate that GP quality has a clear positive effect on demand.GP services; Health care quality; Health care demand; Latent variables; LISREL; Panel data; Norway

Estimation of discrete choice and censoring models (in Russian)

This article provides an overview of difference-in-differences estimation, starting with a review of the basic methodology, discussing in some detail recent advances in inference, and concluding with new methods for estimating treatment effects in various nonlinear and semiparametric models.

The Rise in Absenteeism: Disentangling the Impacts of Cohort, Age and Time

We examine the remarkable rise in absenteeism among Norwegian employees since the early 1990's, with particular emphasis on disentangling the roles of cohort, age, and time. Based on a fixed effects model, we show that individual age-adjusted absence propensities have risen even more than aggregate absence rates from 1993 to 2005, debunking the popular hypothesis that the rise in absenteeism resulted from the inclusion of new cohorts – with weaker work-norms – into the workforce. We also reject the idea that the rise in absenteeism resulted from more successful integration of workers with poor health; on the contrary, a massive rise in disability rolls during the 1990’s suggest that poor-health workers have left the labor market in unprecedented numbers.sickness absence, endogenous selection, multicollinearity, fixed effects logit

The Effect of Activity-Based Financing on Hospital Efficiency: A Panel Data Analysis of DEA Efficiency Scores 1992-2000

Activity-based financing (ABF) was implemented in the Norwegian hospital sector from 1 July 1997. A fraction (30 to 50 per cent) of the block grant from the state to the county councils has been replaced by a matching grant depending upon the number and composition of hospital treatments. As a result of the reform, the majority of county councils have introduced activity-based contracts with their hospitals. This paper studies the effect of activity-based funding on hospital efficiency. We predict that hospital efficiency will increase because the benefit from cost-reducing efforts in terms of number of treated patients is increased under ABF compared with global budgets. The prediction is tested using a panel data set from the period 1992-2000. Efficiency indicators are estimated by means of data envelopment analysis (DEA) with multiple inputs and outputs. Using a variety of econometric methods, we find that the introduction of ABF has improved efficiency when measured as technical efficiency according to DEA analysis. Contrary to our prediction, the result is less uniform with respect to the effect on cost-efficiency. We suggest several reasons why this prediction fails. Keywords are poor information of costs, production-oriented drive, tight factor markets and soft budget constraints.Public Hospitals; Financing; Efficiency; DEA Scores; Panel Data; Norway

Does quality influence choice of general practitioner? An analysis of matched doctor-patient panel data

The impact of quality on the demand facing health care providers has important implications for the industrial organization of health care markets. In this paper we study the consumers' choice of general practitioner (GP) assuming they are unable to observe the true quality of GP services. A panel data set for 484 Norwegian GPs, with summary information on their patient stocks, renders the opportunity to identify and measure the impact of GP quality on the demand, accounting for patient health heterogeneity in several ways. We apply modeling and estimation procedures involving latent structural variables, inter alia, a LISREL type of model, is used. The patient excess mortality rate at the GP level is one indicator of the quality. We estimate the effect of this quality variable on the demand for each GP's services. Our results, obtained from two different econometric model versions, indicate that GP quality has a clear positive effect on demand

The Effect of Activity-Based Financing on Hospital Efficiency: A Panel Data Analysis of DEA Efficiency Scores 1992-2000

Activity-based financing (ABF) was implemented in the Norwegian hospital sector from 1 July 1997. A fraction (30 to 50 per cent) of the block grant from the state to the county councils has been replaced by a matching grant depending upon the number and composition of hospital treatments. As a result of the reform, the majority of county councils have introduced activity-based contracts with their hospitals. This paper studies the effect of activity-based funding on hospital efficiency. We predict that hospital efficiency will increase because the benefit from cost-reducing efforts in terms of number of treated patients is increased under ABF compared with global budgets. The prediction is tested using a panel data set from the period 1992-2000. Efficiency indicators are estimated by means of data envelopment analysis (DEA) with multiple inputs and outputs. Using a variety of econometric methods, we find that the introduction of ABF has improved efficiency when measured as technical efficiency according to DEA analysis. Contrary to our prediction, the result is less uniform with respect to the effect on cost-efficiency. We suggest several reasons why this prediction fails. Keywords are poor information of costs, production-oriented drive, tight factor markets and soft budget constraints

Heterogeneity in Hospitals' Responses to a Financial Reform: A Random Coefficient Analysis of The Impact of Activity-Based Financing on Efficiency

The paper examines the heterogeneity with respect to the impact of a financial reform - Activity Based Financing (ABF) - on hospital efficiency in Norway. Measures of technical efficiency and of cost-efficiency are considered. The data set is from a contiguous ten-year panel of 47 hospitals covering both pre-ABF years and years after its imposition. Substantial heterogeneity in the responses, as measured by both estimated and predicted coefficients, is found. Rank correlations between the estimated/predicted coefficients of the ABF dummy and the pre-ABF/post-ABF efficiencies are examined. Overall, improvement seems to be more pronounced in technical efficiency than in cost-efficiency

The Effect of Activity-Based Financing on Hospital Efficiency: A Panel Data Analysis of DEA Efficiency Scores 1992-2000

Activity-based financing (ABF) was implemented in the Norwegian hospital sector from 1 July 1997. A fraction (30 to 50 per cent) of the block grant from the state to the county councils has been replaced by a matching grant depending upon the number and composition of hospital treatments. As a result of the reform, the majority of county councils have introduced activity-based contracts with their hospitals. This paper studies the effect of activity-based funding on hospital efficiency. We predict that hospital efficiency will increase because the benefit from cost-reducing efforts in terms of number of treated patients is increased under ABF compared with global budgets. The prediction is tested using a panel data set from the period 1992-2000. Efficiency indicators are estimated by means of data envelopment analysis (DEA) with multiple inputs and outputs. Using a variety of econometric methods, we find that the introduction of ABF has improved efficiency when measured as technical efficiency according to DEA analysis. Contrary to our prediction, the result is less uniform with respect to the effect on cost-efficiency. We suggest several reasons why this prediction fails. Keywords are poor information of costs, production-oriented drive, tight factor markets and soft budget constraints

Heterogeneity in Hospitals' Responses to a Financial Reform: A Random Coefficient Analysis of The Impact of Activity-Based Financing on Efficiency

The paper examines the heterogeneity with respect to the impact of a financial reform - Activity Based Financing (ABF) - on hospital efficiency in Norway. Measures of technical efficiency and of cost-efficiency are considered. The data set is from a contiguous ten-year panel of 47 hospitals covering both pre-ABF years and years after its imposition. Substantial heterogeneity in the responses, as measured by both estimated and predicted coefficients, is found. Rank correlations between the estimated/predicted coefficients of the ABF dummy and the pre-ABF/post-ABF efficiencies are examined. Overall, improvement seems to be more pronounced in technical efficiency than in cost-efficiency