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DTSTART:20191027T030000
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UID:calendar.19540.field_data.0@diag.uniroma1.it
DTSTAMP:20260404T175536Z
CREATED:20200224T153248Z
DESCRIPTION:** Il seminario è stato annullato a causa dei recenti sviluppi 
 dell'epidemia di coronavirus in Italia **In this seminar\, we will present
  the Web of Science Highly Cited Paper Daraio\, C.\, Simar\, L.\, & Wilson
 \, P. W. (2018). Central limit theorems for conditional efficiency measure
 s and tests of the ‘separability’ condition in non‐parametric\, two‐stage 
 models of production. The Econometrics Journal\, 21(2)\, 170-191.Abstract 
 In this paper\, we demonstrate that standard central limit theorem (CLT) r
 esults do not hold for means of nonparametric\, conditional efficiency est
 imators\, and we provide new CLTs that permit applied researchers to make 
 valid inference about mean conditional efficiency or to compare mean effic
 iency across groups of producers. The new CLTs are used to develop a test 
 of the restrictive ‘separability' condition that is necessary for second-s
 tage regressions of efficiency estimates on environmental variables. We sh
 ow that if this condition is violated\, not only are second-stage regressi
 ons difficult to interpret and perhaps meaningless\, but also first-stage\
 , unconditional efficiency estimates are misleading. As such\, the test de
 veloped here is of fundamental importance to applied researchers using non
 parametric methods for efficiency estimation. The test is shown to be cons
 istent and its local power is examined. Our simulation results indicate th
 at our tests perform well both in terms of size and power. We provide a re
 al-world empirical example by reexamining the paper by Aly et al. (1990\, 
 Review of Economics and Statistics 72\, 211-18) and rejecting the separabi
 lity assumption implicitly assumed by Aly et al.\, calling into question r
 esults that appear in hundreds of papers that have been published in recen
 t years. After that\, we will introduce recent challenges and work in prog
 ress. Joint work with Cinzia Daraio and Paul W. Wilson. Short bioLéopold S
 imar is Emeritus Professor of Statistics at the ISBA Institute\, Catholic 
 University of Louvain\, Louvain-la-Neuve\, Belgium.He is regularly visitin
 g professor at DIAG since 2012. He received various Awards including the f
 ollowing: i) “Professore di Chiara Fama” (2006 and 2007)\, Italian Ministr
 y of Research: Scuola Superiore Sant’Anna\, Pisa & University of Pisa\; ii
 ) “Chaire d’Excellence Pierre de Fermat” (2008 and 2009)\, Région Midi-Pyr
 énées\, Toulouse School of Economics\, Toulouse\; iii) Fellow of the Journ
 al of Econometrics\, 2015\, for  and iv) Econometric Theory Award (2016) i
 n . 
DTSTART;TZID=Europe/Paris:20200302T110000
DTEND;TZID=Europe/Paris:20200302T110000
LAST-MODIFIED:20200302T074034Z
LOCATION:Aula Magna\, DIAG
SUMMARY:MORE@DIAG Seminar Nonparametric Estimation of Efficiency in the Pre
 sence of Environmental Variables - Leopold Simar (Emeritus Professor of St
 atistics Institute of Statistics\, Biostatistics and Actuarial Sciences Ca
 tholic University of Louvain\, Louvain-la-Neuve\, Belgium)
URL;TYPE=URI:http://diag.uniroma1.it/node/19540
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