[Alleva, G., and F. Petrarca. 2013. “New indicators for investigating the Integration of Sapienza graduates into the labor market.” Working papers n. 120/2013 del Dipartimento Memotef, ISSN 2239-608X.]Search in Google Scholar
[Alleva, G. 2017. “The new role of sample surveys in official statistics.” ITACOSM 2017, The 5th Italian Conference on Survey Methodology, June 14, 2017, Bologna, Italy. Available at: https://www.istat.it/it/files//2015/10/Alleva_ITACOSM_14062017.pdf (accesssed May 2021).]Search in Google Scholar
[Biemer, P.P. 2010. “Total Survey Error Design, implementation, and evaluation.” Public Opinion Quarterly 4(5) : 817–848. DOI: https://doi.org/10.1093/poq/nfq058.10.1093/poq/nfq058]Search in Google Scholar
[Binder, D.A., and Z. Patak. 1994. “Use of estimating functions for estimation from complex surveys.” Journal of the American Statistical Association 89: 1035–1043. DOI: https://doi.org/10.1080/01621459.1994.10476839.10.1080/01621459.1994.10476839]Search in Google Scholar
[Breidt, F.J., and J.D. Opsomer. 2017. “Model-Assisted Survey Estimation with Modern Prediction Techniques.” Statistical Science 32(2) : 190–205. DOI: https://doi.org/10.1214/16-STS589.10.1214/16-STS589]Search in Google Scholar
[Chambers, R.L., and R.G. Clark. 2015. “An Introduction to Model-Based Sampling with Applications.” Oxford Statistical Science. 37. DOI: https://doi.org/10.1093/acprof:oso/9780198566625.001.0001.10.1093/acprof:oso/9780198566625.001.0001]Search in Google Scholar
[Chen, S., and D. Haziza. 2017. “Multiply robust imputation procedures for the treatment of item nonresponse in surveys.” Biometrika 102: 439–453. DOI: https://doi.org/10.1007/s40300-017-0128-9.10.1007/s40300-017-0128-9]Search in Google Scholar
[Citro, C.F. 2014. “From multiple modes for surveys to multiple data sources for estimates.” Survey Methodology. Statistics Canada. Available at: https://www150.statcan.gc.ca/n1/en/pub/12-001-x/2014002/article/14128-eng.pdf?st=emZzAE9_ (accessed May 2021).]Search in Google Scholar
[Cochran, W.G. 1977. Sampling techniques, (Third edition). New York: Wiley. Available at: https://glad.geog.umd.edu/Potapov/_Library/Cochran_1977_Sampling_Techniques_Third_Edition.pdf (accessed May 2021).]Search in Google Scholar
[Deville, J.-C. 1999. “Variance estimation for complex statistics and estimators: Linearization and residual techniques.” Survey Methodology 25(2) : 193–203. Statistics Canada. Available at: https://www150.statcan.gc.ca/n1/en/pub/12-001-x/1999002/article/4882-eng.pdf?st=qNANeGtP (accessed May 2021).]Search in Google Scholar
[Deville, J.-C., and Y. Tillè. 2005. “Variance approximation under balanced sampling.” Journal of Statistical Planning and Inference 128(2) : 569–591. Available at: https://core.ac.uk/download/pdf/43673958.pdf (accessed May 2021).]Search in Google Scholar
[Eurostat. 2019. Available at: https://ec.europa.eu/eurostat/cros/content/essnet-quality-multisource-statistics-komuso_en (accessed May 2021).]Search in Google Scholar
[Falorsi, P.D., P. Lavallée, and P. Righi. 2019. “Cost Optimal Sampling for the Integrated Observation of Different Populations.” Survey Methodology. Available at: https://www150.statcan.gc.ca/n1/en/pub/12-001-x/2019003/article/00004-eng.pdf?st=qZIAruhQ (accessed May 2021).]Search in Google Scholar
[FAO. 2014. Technical Report on the Integrated Survey Framework, Technical Report Series GO-02-2014. Available at: http://gsars.org/wp-content/uploads/2014/07/Technical_report_on-ISF-Final.pdf (accessed May 2021).]Search in Google Scholar
[Graf, M. 2015. A Simplified Approach to Linearization Variance for Surveys. Technical Report, Institut De Statistique, Université de Neuchâtel. Available at: https://doc.rero.ch/record/324723/files/00002754.pdf (accessed May 20121).]Search in Google Scholar
[Gruppo UNI.CO. 2015. La Domanda di Lavoro per i laureati. I risultati dell’integrazione tra gli archivi amministrativi dell’Universita‘ Sapienza di Roma e del Ministero del Lavoro e delle Politiche Sociali, Edizioni Nuova Cultura-Roma. ISBN 9788868124816. DOI: https://doi.org/10.4458/4816.]Search in Google Scholar
[Isaki, C., and W.A. Fuller. 1982. “Survey design under the regression superpopulation model.” Journal of the American Statistical Association 77: 89–96.10.1080/01621459.1982.10477770]Search in Google Scholar
[ISCO 1-ISCO 2. Available at: https://www.ilo.org/wcmsp5/groups/public/@dgre-ports/@dcomm/@publ/documents/publication/wcms_172572.pdf]Search in Google Scholar
[Istat. 2016. Istat’s Modernisation Programme. Available at: https://www.istat.it/en/files/2011/04/IstatsModernistionProgramme_EN.pdf (accessed May 2021).]Search in Google Scholar
[Kendall, M.G, and A. Stuart. 1976. The Advanced Theory of Statistics: Design and analysis, and time-series. Hafner.]Search in Google Scholar
[Kim, J.K., and J.N.K. Rao. 2012. “Combining data from two independent surveys: a model-assisted approach.” Biometrika 99(1) : 85–100. DOI: https://doi.org/10.1093/-biomet/asr063.]Search in Google Scholar
[Nedyalkova, D., and Y. Tillé. 2008. “Optimal sampling and estimation strategies under the linear model.” Biometrika 95: 521–537. DOI: https://doi.org/10.1093/biomet/asn027.10.1093/biomet/asn027]Search in Google Scholar
[Nirel, R., and H. Glickman. 2009. “Chapter 21 – Sample Surveys and Censuses.” In Handbook of Statistics, edited by C.R. Rao.: Elsevier.10.1016/S0169-7161(08)00021-7]Search in Google Scholar
[Petrarca, F. 2014a. “Non-metric PLS path modeling: Integration into the labour market of Sapienza graduates.” In Advances in latent variables. Studies in theoretical and applied statistics: 159–170. Berlin: Springer. DOI: https://doi.org/10.1007/10104_2014_1610.1007/10104_2014_16]Search in Google Scholar
[Petrarca, F. 2014b. Assessing Sapienza University alumni job careers: Enhanced partial least squares latent variable path models for the analysis of the UNI.CO administrative archive. PhD diss., Dipartimento di Economia dell’Universita‘ degli studi Roma Tre. Available at: http://hdl.handle.net/2307/4167 (accessed May 2021).]Search in Google Scholar
[Pfeffermann, D. 2015. “Methodological Issues and Challenges in the Production of Official Statistics: 24th Annual Morris Hansen Lecture.” Journal of Survey Statistics and Methodology 3(4) : 425–483. DOI: https://doi.org/10.1093/jssam/smv035.10.1093/jssam/smv035]Search in Google Scholar
[Righi, P., P.D. Falorsi, S. Daddi, E. Fiorello, P. Massoli, and M.D. Terribili. 2021. “Optimal sampling for the Population Coverage Survey of the new Italian Register Based Census.” Journal of Official Statistics (September 2021)10.2478/jos-2021-0029]Search in Google Scholar
[Särndal, C.E., B. Swensson, and J. Wretman. 1992. Model Assisted Survey Sampling. Springer-Verlag.10.1007/978-1-4612-4378-6]Search in Google Scholar
[Scholtus, S. 2019. “A bootstrap method for estimators based on combined administrative and survey data.” In NTTS Conference 2019. Brussels, Belgium. Available at: https://slidetodoc.com/download.php?id=4386.]Search in Google Scholar
[Statistics Canada. 2009. Statistics Canada Quality Guidelines, (6th edition). Available at: https://www150.statcan.gc.ca/n1/en/pub/12-539-x/12-539-x2019001-eng.pdf?st=y2AqFuiY.]Search in Google Scholar
[Wallgren, A., and B. Wallgren. 2014. Register-based Statistics: statistical methods for administrative data, (2nd Edition). Chichester: Wiley.10.1002/9781118855959]Search in Google Scholar
[Wolter, K.M. 1985. Introduction to Variance Estimation. New York: Springer.]Search in Google Scholar
[Wolter, K.M. 1986. “Some Coverage Error Models for Census Data.” Journal of the American Statistical Association 81: 338–346. DOI: https://doi.org/10.2307/2289222.10.2307/2289222]Search in Google Scholar
[Vaillant, R. 2009. “Model based predictions of finite population totals.” In Chapter 23 in Handbook of statistics 29: Design, Methods and Applications, edited by P. Pfefferman and C.R. Rao. Amsterdam: North Holland.]Search in Google Scholar
[Vallée, A.A., and Y. Tillé. 2019. “Linearisation for Variance Estimation by Means of Sampling Indicators: Application to Non-response.” International Statistical Review 0(0) : 1–21. DOI: https://doi.org/10.1111/insr.12313.10.1111/insr.12313]Search in Google Scholar
[Ziegler, A. 2015. Generalized Estimating Expressions, Springer and Verlag. Lecture Notes in statistics.]Search in Google Scholar