Estimating and bootstrapping Malmquist indices

Simar, Léopold; Wilson, Paul W.

doi:10.1016/s0377-2217(97)00450-5

Cited by 424 publications

(326 citation statements)

References 11 publications

Supporting

Mentioning

318

Contrasting

Unclassified

Order By: Relevance

“…where y is the marginal CO 2 abatement cost; x is the carbon intensity (CO 2 /GDP), estimation errors and confidence intervals for the non-parametric DEA and the parametric linear programming methods respectively (Simar and Wilson, 1999;Zhang and Choi, 2014;Zhou et al, 2010). 6 An anonymous reviewer has pointed out that it would be interesting for future research to conduct comparative studies on the MACC internationally e.g.…”

Section: Empirical Specificationsmentioning

confidence: 99%

Estimating the Marginal Abatement Cost Curve of CO2 Emissions in China: Provincial Panel Data Analysis

Hanley

Wei

2015

Energy Economics

View full text Add to dashboard Cite

show abstract

Section: Empirical Specificationsmentioning

confidence: 99%

Estimating the Marginal Abatement Cost Curve of CO2 Emissions in China: Provincial Panel Data Analysis

Hanley

Wei

2015

Energy Economics

View full text Add to dashboard Cite

show abstract

“…These studies either don't consider the factors that influence police performance or consider these variables in the second stage by regressing the efficiency estimates on the environmental variables using Tobit regression analysis (e.g., Drake and Simper 2005). Simar and Wilson (1999) show that the efficiency scores are correlated with the explanatory variables and the estimates obtained using Tobit model will be inconsistent and biased. Simar and Wilson (2007) propose bootstrapped DEA scores with a truncated regression.…”

Section: Literature Surveymentioning

confidence: 98%

Does modernization improve performance: evidence from Indian police

Kumar

Kumar²

2013

Eur J Law Econ

View full text Add to dashboard Cite

This paper aims to measure the role of police modernization scheme in its performance in crime repression. We use output distance function as an analytical tool and estimate it using stochastic frontier analysis (SFA) framework in a 'single stage'. We find that the police modernization scheme is helping the state police departments in enhancing their performance, i.e., the police departments which have more modern communication equipments and which are spending more money on the training of their police personnel are doing better relative to the others. The police density is found to be one of the major determinants of its efficiency along with the factors that create more social cohesion. The total factor productivity (TFP) is governed by the catch-up effect which is worsening over time though the technological progress has been observed in most of the states.JEL Classification: H83, K42, D61

show abstract

“…A new DEA frontier is then estimated on these pseudo observations ( , ) Bias correction in DEA using bootstrapping, following Simar and Wilson (1999), is based on an assumption by analogy on the distributions of the estimators, implying that the difference between the Malmquist estimator based on pseudo data and the DEA-based estimator is distributed like the distribution between the DEA estimator and the true Malmquist index, assuming estimators to be consistent: This problem motivated Simar and Wilson (1999) to suggest a direct way to calculate the confidence intervals so that they could be centred around the original DEA estimates rather than the bias-corrected estimates if the former had a lower mean square error. The confidence interval limits may be defined by…”

Section: Kde Tmentioning

confidence: 99%

“…Testing hypothesis whether an office has had a significant decline or increase in productivity, as stated in Simar and Wilson (1999) is the benefit of bootstrapping. Instead of commenting further on the confidence intervals shown in Figure 2 we have in In Panel (a) we have that in the group having significant productivity decrease there are 25 units representing 38% of the man-years.…”

Section: Productivity Developmentmentioning

confidence: 99%

Productivity of tax offices in Norway

Førsund

Edvardsen²,

Kittelsen

2015

J Prod Anal

View full text Add to dashboard Cite

Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. The Frisch Centre Terms of use: Documents in Frode LindsethThe Norwegian Directorate of Taxes Abstract: The performance of local tax offices of Norway is studied over a three-year period using Data Envelopment Efficiency analysis and calculating Malmquist productivity indices. One input, labour, is used, and six output categories of the main service activities carried out by tax offices are specified. A bootstrap approach recently developed for DEA models is applied to establish confidence intervals for the individual indices enabling an identification of units that have either significant productivity decline or growth, or no change. A specially developed graphic display gives a visual test and grouping into the three possible categories. Looking at change in labour use and productivity change together the productivity development of individual offices is classified into the four categories efficient labour increase, efficient labour savings, inefficient labour savings and inefficient labour increase.Key words: Tax office, Malmquist productivity index, DEA, bootstrap JEL classification: C60, D24, L89 * The paper is written within a project, undertaken by the Frisch Centre for the Directorate of Taxes, on evaluating whether a recent reorganisation of the Directorate leads to a more efficient use of resources.2

show abstract

Estimating and bootstrapping Malmquist indices

Cited by 424 publications

References 11 publications

Estimating the Marginal Abatement Cost Curve of CO2 Emissions in China: Provincial Panel Data Analysis

Estimating the Marginal Abatement Cost Curve of CO2 Emissions in China: Provincial Panel Data Analysis

Does modernization improve performance: evidence from Indian police

Productivity of tax offices in Norway

Contact Info

Product

Resources

About