Alternative sampling frames and administrative data. what is the best data source for agricultural statistics?

Agricultural Survey Methods

Volumn , Issue , 2010, Pages 45-61

  Carfagna, Elisabetta ^a   Carfagna, Andrea ^a  

^a UNIVERSITY OF BOLOGNA   (Italy)

Author keywords

Administrative data; Administrative registers; Agriculturalstatistics; Quality control; Tabulation

Indexed keywords

EID: 84886180321     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1002/9780470665480.ch3     Document Type: Chapter

References (31)

1. Carfagna, E. (1998) Area frame sample designs: a comparison with the MARS project. In T.E. Holland and M.P.R. Van den Broecke (eds) Proceedings of Agricultural Statistics 2000, pp. 261-277. Voorburg, Netherlands: International Statistical Institute.
2. Carfagna, E. (2001a) Multiple frame sample surveys: advantages, disadvantages and requirements. In International Statistical Institute, Proceedings, Invited papers, International Association of Survey Statisticians (IASS) Topics, Seoul, August 22-29, 2001, 253-270.
3. Carfagna, E. (2001b) Cost-effectiveness of remote sensing in agricultural and environmental statistics. In Proceedings of the Conference on Agricultural and Environmental Statistical Applications in Rome (CAESAR), 5-7 June, Vol. 3, pp. 618-627. http://www.ec-gis.org/.
4. Carfagna, E. (2004) List frames, area frames and administrative data: are they complementary or in competition? Invited paper presented to the Third International Conference on Agricultural Statistics, Cancun (Mexico), 2-4 November 2004. http://www.nass.usda. gov/mexsai/.
5. Carfagna, E. (2007) A comparison of area frame sample designs for agricultural statistics. Bulletin of the International Statistical Institute, 56th Session (Lisbon), Proceedings, Special Topics Contributed Paper Meetings (STCPM11), Agricultural and Rural Statistics, 1470, 22-29 August 22-29, pp. 1-4.
6. Consorzio ITA (2000) AGRIT 2000 Innovazione tecnologica. Studio per l’integrazione dati ADRIT-PAC, Ministero delle Politiche Agricole e Forestali.
7. De Gaetano, L. and Greco, M. (2009) Analisi di qualit dei dati amministrativi: confronto Clag e Agea. Comitato consultivo per la preparazione a livello regionale del sesto Censimento generale dell’agricoltura.
8. Deville, J.C. and Särndal, C.E. (1992) Calibration estimators in survey sampling, Journal of the American Statistical Association, 85, 376-382.
9. D’Orazio, M., Di Zio, M. and Scanu, M. (2006) Statistical Matching: Theory and Practice. Chichester:John Wiley & Sons, Ltd.
10. ESSnet ISAD (2008) Report of WP1. State of the art on statistical methodologies for integration of surveys and administrative data.
11. Ferraz, C. and Coelho, H.F.C. (2007) Ratio type estimators for stratified dual frame surveys. In Proceedings of the 56th Session of the ISI.
12. Fuller, W.A. and Burmeister, L.F. (1972) Estimators for samples from two overlapping frames. Proceedings of the Social Statistics Section, American Statistical Association, pp. 245-249.
13. Greco, M., Bianchi, G., Chialastri, L., Fusco, D. and Reale, A., (2009) Definizione di azienda agricola. Comitato consultivo per la preparazione a livello regionale del sesto Censimento generale dell’agricoltura.
14. Hartley, H.O. (1962) Multiple-frame surveys. Proceedings of the Social Statistics Section, American Statistical Association, pp. 203-206.
15. Hartley, H.O. (1974) Multiple Frame Methodology and Selected Applications, Sankhya, Series C, 36, 99-118.
16. Korporal, K.D. (2005) Respondent relations challenges for obtaining agricultural data. Proceedings of Statistics Canada Symposium 2005: Methodological Challenges for Future Information Needs. http://www.statcan.gc.ca/pub/11-522-x/11-522-x2005001-eng.htm.
17. Kott, P.S. and Vogel, F.A. (1995) Multiple-frame business surveys. In B.G. Cox, D.A. Binder, B.N. Chinnappa, A. Christianson, M.J. Colledge and P.S. Kott (eds), Business Survey Methods, pp. 185-201. New York: John Wiley & Sons, Inc.
18. Lavallée, P. (2005) Quality indicators when combining survey data and administrative data. In Proceedings of Statistics Canada Symposium 2005: Methodological Challenges for Future Information Needs. http://www.statcan.gc.ca/pub/11-522-x/11-522-x2005001- eng.htm.
19. Lohr, S.L. and Rao, J.N.K. (2000) Inference from dual frame surveys. Journal of the American Statistical Association, 95, 271-280.
20. Lohr, S.L. and Rao, J.N.K. (2006) Estimation in multiple-frame surveys. Journal of the American Statistical Association, 101, 1019-1030.
21. Lund, R.E. (1968) Estimators in multiple frame surveys. Proceedings of the Social Statistics Section, American Statistical Association, pp. 282-288.
22. Moriarity, C. and Scheuren, F. (2001) Statistical matching: a paradigm for assessing the uncertainty in the procedure. Journal of Official Statistics, 17, 407-422.
23. Rao, J.N.K. (2003) Small Area Estimation. Hoboken, NJ: John Wiley & Sons, Inc.
24. Särndal C.E. (2007) The calibration approach in survey theory and practice. Survey Methodology, 33, 99-119.
25. Scanu, M. and Conti, P.L. (2006) Matching noise: formalization of the problem and some examples. Rivista di Statistica Ufficiale, 1, 43-55.
26. Selander, R., Svensson, J., Wallgren, A. and Wallgren, B. (1998) How should we use IACS data? Statistics Sweden.
27. Skinner, C.J. and Rao, J.N.K. (1996) Estimation in dual frame surveys with complex designs. Journal of the American Statistical Association, 91, 349-356.
28. Vogel, F.A. (1975) Surveys with overlapping frames - problems in applications. Proceedings of the Social Statistics Section, American Statistical Association, pp. 694-699.
29. Wallgren, A. and Wallgren, B. (1999) How can we use multiple administrative sources? Statistics Sweden.
30. Wallgren, A. and Wallgren, B. (2007) Register-Based Statistics: Administrative Data for Statistical Purposes. Chichester: John Wiley & Sons, Ltd.
31. Winkler, W.E. (1995) Matching and record linkage. In B.G. Cox, D.A. Binder, B.N. Chinnappa, A. Christianson, M.J. Colledge and P.S. Kott (eds), Business Survey Methods, pp. 355-384. New York: John Wiley & Sons, Inc.