| Bayesian model averaging and weighted-average least squares: Equivariance, stability, and numerical issues G De Luca, JR Magnus The Stata Journal 11 (4), 518-544, 2011 | 152 | 2011 |
| SNP and SML estimation of univariate and bivariate binary-choice models G De Luca The Stata Journal 8 (2), 190-220, 2008 | 136 | 2008 |
| Survey participation in the survey of health, ageing and retirement in Europe (SHARE), Wave 1-6 M Bergmann, T Kneip, G De Luca, A Scherpenzeel Munich: Munich Center for the Economics of Aging, 2017 | 124 | 2017 |
| Estimation of ordered response models with sample selection G De Luca, V Perotti The Stata Journal 11 (2), 213-239, 2011 | 115 | 2011 |
| Survey participation in the first wave of SHARE G De Luca, F Peracchi The Survey of Health, Ageing and Retirement in Europe–Methodology, MEA …, 2005 | 63 | 2005 |
| Weighted‐average least squares (WALS): a survey JR Magnus, G De Luca Journal of Economic Surveys 30 (1), 117-148, 2016 | 54 | 2016 |
| Item non response and imputation strategies in SHARE Wave 5 G De Luca, M Celidoni, E Trevisan SHARE Wave 5, 85-100, 2015 | 28 | 2015 |
| A sample selection model for unit and item nonresponse in cross-sectional surveys G De Luca, F Peracchi CEIS Working Paper, 2007 | 27 | 2007 |
| In-work benefits for married couples: an ex-ante evaluation of EITC and WTC policies in Italy GD Luca, C Rossetti, D Vuri IZA Journal of Labor Policy 3, 1-24, 2014 | 23 | 2014 |
| Sample design and weighting strategies in SHARE Wave 5 G De Luca, C Rossetti, F Malter SHARE wave 5, 75-84, 2015 | 22 | 2015 |
| Balanced variable addition in linear models G De Luca, JR Magnus, F Peracchi Journal of Economic Surveys 32 (4), 1183-1200, 2018 | 20 | 2018 |
| Weighted-average least squares estimation of generalized linear models G De Luca, JR Magnus, F Peracchi Journal of econometrics 204 (1), 1-17, 2018 | 20 | 2018 |
| Estimating Engel curves under unit and item nonresponse G De Luca, F Peracchi Journal of Applied Econometrics 27 (7), 1076-1099, 2012 | 18 | 2012 |
| Model averaging estimation of generalized linear models with imputed covariates V Dardanoni, G De Luca, S Modica, F Peracchi Journal of Econometrics 184 (2), 452-463, 2015 | 17 | 2015 |
| Sample design in SHARE wave four P Lynn, G De Luca, M Ganninger, S Häder SHARE wave 4, 74-123, 2013 | 14 | 2013 |
| Fieldwork and survey management in SHARE G De Luca, O Lipps The Survey of Health, Aging, and Retirement in Europe–Methodology, 75, 2005 | 14 | 2005 |
| The Survey of Health, Ageing and Retirement in Europe–Methodology G De Luca, F Peracchi, A Börsch-Supan, H Jürges Mannheim Research Institute for the Economics of Aging, 85-100, 2005 | 13 | 2005 |
| Survey participation in the survey of health, ageing and retirement in Europe (SHARE) M Bergmann, T Kneip, G De Luca, A Scherpenzeel Share-ProjectOrg.[consultado 2021 jan 03]. Disponível em: http: www. share …, 2019 | 12 | 2019 |
| Stata program to compute calibrated weights from scientific usefile and additional database G De Luca, C Rossetti SERISS report, 1-30, 2018 | 11 | 2018 |
| Sampling design and weighting strategies in the second wave of SHARE G De Luca, C Rossetti First Results from the Survey of Health, Ageing and Retirement in Europe …, 2008 | 11 | 2008 |
Franco PeracchiEIEF and University of Rome Tor VergataVerified email at uniroma2.it
