Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Anna Mergoni"'
Autor:
Alice Bertoletti, Marta Cannistrà, Melisa Diaz Lema, Chiara Masci, Anna Mergoni, Lidia Rossi, Mara Soncin
Publikováno v:
Economies, Vol 11, Iss 2, p 32 (2023)
This paper investigates the determinants of mathematics performance by gender, exploiting a multilevel random forest approach. OECD PISA 2018 data from 28 European countries are employed to explore the performance of male and female students as a fun
Externí odkaz:
https://doaj.org/article/92a1133a8e8d4b059664b1724fdbc173
Publikováno v:
Omega. 119:102891
Autor:
Anna Mergoni, Kristof De Witte
Publikováno v:
Journal of the Operational Research Society, 73(10), 2275-2293. Nature Publishing Group
This paper develops a novel methodology to estimate in a dynamic setting the causal impact of a policy on efficiency. Classical efficiency techniques evaluate multidimensional performance but ignore the endogeneity issues in policy evaluations. We de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::00394bc14b4eca781fe77cb3a918056f
https://cris.maastrichtuniversity.nl/en/publications/93310dad-3b65-4567-98f1-8ba3eb06d7bc
https://cris.maastrichtuniversity.nl/en/publications/93310dad-3b65-4567-98f1-8ba3eb06d7bc
Autor:
Anna Mergoni, Kristof De Witte
Publikováno v:
International Transactions in Operational Research. 29:1337-1359
This paper provides a systematic literature review of studies investigating the effect of an intervention on the efficiency of a decision-making unit, when efficiency is computed using nonparametric frontier approaches. This paper offers a guide for
The aim of this paper is to measure and benchmark the environmental performance of Portuguese utilities jointly active in the three sectors of water supply, wastewater collection and solid waste management. To do so, we suggest the use of a tradition
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::520e964775e77269994afe481a75dbe2
https://lirias.kuleuven.be/handle/123456789/684059
https://lirias.kuleuven.be/handle/123456789/684059
Publikováno v:
SSRN Electronic Journal.
Autor:
Melisa Diaz Lema, Anna Mergoni, Mara Soncin, CHIARA MASCI, Marta Cannistrà, Alice Bertoletti, Lidia Rossi
Publikováno v:
Economies; Volume 11; Issue 2; Pages: 32
This paper investigates the determinants of mathematics performance by gender, exploiting a multilevel random forest approach. OECD PISA 2018 data from 28 European countries are employed to explore the performance of male and female students as a fun