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Volumn 26, Issue 3, 2009, Pages 273-278

Research note: Imputing large group averages for missing data, using rural-urban continuum codes for density driven industry sectors

Author keywords

Data quality; Imputation; Labor force; Measurement; Missing data; Rural; Urban

Indexed keywords

DATA QUALITY; LABOR MARKET; LABOR SUPPLY; RURAL AREA; THEORETICAL STUDY; URBAN AREA;

EID: 70449526186     PISSN: 14432447     EISSN: None     Source Type: Journal    
DOI: 10.1007/s12546-009-9018-1     Document Type: Article
Times cited : (4)

References (7)
  • 1
    • 0000828942 scopus 로고
    • Missing observations in multivariate statistics: Review of the literature
    • 10.2307/2282773
    • AA Afifi RM Elashoff 1966 Missing observations in multivariate statistics: Review of the literature Journal of the American Statistical Association 61 595 604 10.2307/2282773
    • (1966) Journal of the American Statistical Association , vol.61 , pp. 595-604
    • Afifi, A.A.1    Elashoff, R.M.2
  • 3
    • 0009109271 scopus 로고    scopus 로고
    • Economic Research Service (ERS) Retrieved April 28, 2004, from
    • Economic Research Service (ERS). (2004). Measuring rurality: Rural-urban continuum codes. Retrieved April 28, 2004, from http://www.ers.usda.gov/ Briefing/Rurality/RuralUrbCon/.
    • (2004) Measuring Rurality: Rural-urban Continuum Codes
  • 4
    • 0032331359 scopus 로고    scopus 로고
    • Not asked and not answered: Multiple imputation for multiple surveys
    • 10.2307/2669819
    • A Gelman G King C Liu 1998 Not asked and not answered: Multiple imputation for multiple surveys Journal of the American Statistical Association 93 846 874 10.2307/2669819
    • (1998) Journal of the American Statistical Association , vol.93 , pp. 846-874
    • Gelman, A.1    King, G.2    Liu, C.3
  • 5
    • 0000996385 scopus 로고
    • The analysis of incomplete data
    • 10.2307/2528820
    • HO Hartley RR Hocking 1971 The analysis of incomplete data Biometrics 27 783 808 10.2307/2528820
    • (1971) Biometrics , vol.27 , pp. 783-808
    • Hartley, H.O.1    Hocking, R.R.2
  • 7
    • 0035506257 scopus 로고    scopus 로고
    • Analyzing data sets with missing data: An empirical evaluation of imputation methods and likelihood-based methods
    • DOI 10.1109/32.965340
    • I Myrtveit E Stensrud UH Olsson 2001 Analyzing data sets with missing fata: An empirical evaluation of imputation methods and likelihood-based methods IEEE Transactions on Software Engineering 27 999 1013 10.1109/32.965340 (Pubitemid 33106028)
    • (2001) IEEE Transactions on Software Engineering , vol.27 , Issue.11 , pp. 999-1013
    • Myrtveit, I.1    Stensrud, E.2    Olsson, U.H.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.