Using Panel Data Analysis to Estimate DEA Confidence Intervals Adjusted for the Environment

Autor:	John M. Gleason, Darold T. Barnum, Brendon Hemily
Rok vydání:	2008
Předmět:	Set (abstract data type) Computer science Econometrics Data envelopment analysis Transportation Statistical model Economic model Regression analysis Paratransit Confidence interval Civil and Structural Engineering Panel data
Zdroj:	Journal of Transportation Engineering. 134:215-223
ISSN:	1943-5436 0733-947X
DOI:	10.1061/(asce)0733-947x(2008)134:5(215)
Popis:	This paper illustrates three concepts new to the data envelopment analysis (DEA) literature, and applies them to data from Canadian paratransit agencies. First, it predicts valid confidence intervals and trends for each agency's true efficiency. Second, it uses panel data analysis methodology, a set of statistical procedures that are more likely to produce valid estimates than those commonly used in DEA studies. Third, it uses a new method of identifying and adjusting for environmental effects that has more power than conventional procedures.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::8f7edd0477597b31824e401a8bf70e71 https://doi.org/10.1061/(asce)0733-947x(2008)134:5(215) Zobrazit plný text záznamu Plný text ve formátu PDF