MARC Record from marc_columbia

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001 4249592
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008 000807s1996 caua ob 000 0 eng d
010 $a 95032527
035 $a(OCoLC)ocm44962427
035 $a(NNC)4249592
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020 $a0585217106$q(electronic bk.)
020 $a9780585217109$q(electronic bk.)
020 $a0803957106$q(pbk. ;$qacid-free paper)
020 $a9780803957107$q(pbk. ;$qacid-free paper)
020 $z9781412985611
020 $z1412985617
035 $a(OCoLC)44962427$z(OCoLC)999411475$z(OCoLC)1057973367$z(OCoLC)1066440736$z(OCoLC)1107326159$z(OCoLC)1126156939$z(OCoLC)1228526432
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100 1 $aBreen, Richard,$d1954-
245 10 $aRegression models :$bcensored, sample selected or truncated data /$cRichard Breen.
260 $aThousand Oaks, Calif. :$bSage Publications,$c©1996.
300 $a1 online resource (viii, 80 pages) :$billustrations.
336 $atext$btxt$2rdacontent
337 $acomputer$bc$2rdamedia
338 $aonline resource$bcr$2rdacarrier
490 1 $aSage university papers series. Quantitative applications in the social sciences ;$vno. 07-111
504 $aIncludes bibliographical references (pages 76-79).
588 0 $aPrint version record.
505 0 $a1. Introduction -- Censoring, sample selection, and truncation -- Two-stage modeling -- Problems of censoring, sample selection, and truncation in the social sciences -- Theoretical basis -- Contents of the book -- 2. The Tobit model for censored data -- Censored latent variables -- Two-stage modeling -- Selection -- Outcome -- Maximum likelihood estimation -- Maximum likelihood estimation of the Tobit model -- Interpretation of Tobit parameters -- An empirical example -- 3. Sample-selection models and the truncated regression model -- Sample-selection models -- Parameter interpretation -- Some practical issues -- Empirical examples -- Truncated regression models -- 4. Extensions of the basic models -- Selection processes with multiple thresholds -- Sample-selection models with endogenous selection and outcome -- 5. Caveat emptor -- Sensitivity to distributional assumptions -- Heteroscedasticity -- Nonnormality -- Identification and robustness -- Sample-selection models in evaluation research -- Some guidelines for the use of censored and sample-selection models -- Concluding remarks.
520 $a"What techniques can social scientists use when an outcome variable for a sample (for example, y) is not representative of the population for which generalized results are preferred? Author Richard Breen provides an introduction to regression models for such data, including censored, sample-selected, and truncated data. Regression Models begins with a discussion of the Tobit model and examines issues such as maximum likelihood estimation and the interpretation of parameters. The author next discusses the basic sample selection model and the truncated regression model. Elaborating on the modeling of censored and sample-selected data via maximum likelihood, he shows the close links between the models introduced and other regression models for non-continuous dependent variables, such as the ordered probit. Concluding with an exploration of some of the criticisms of these approaches and difficulties associated with them, this volume gives readers a guide to the practical utility of these models."--Publisher description.
650 0 $aRegression analysis.
650 0 $aSocial sciences$xStatistical methods.
650 6 $aAnalyse de régression.
650 6 $aSciences sociales$xMéthodes statistiques.
650 7 $aSOCIAL SCIENCE$xEssays.$2bisacsh
650 7 $aRegression analysis.$2fast$0(OCoLC)fst01432090
650 7 $aSocial sciences$xStatistical methods.$2fast$0(OCoLC)fst01122983
650 17 $aRegressieanalyse.$2gtt
650 17 $aRegressiemodellen.$0(NL-LeOCL)078647886$2gtt
650 17 $aSociale wetenschappen.$2gtt
650 17 $aStatistische methoden.$2gtt
650 7 $aRegressionsmodell$2gnd
650 7 $aEstatistica aplicada as ciencias sociais.$2larpcal
650 7 $aAnalyse de régression.$2ram
650 7 $aSciences sociales$xMéthodes statistiques.$2ram
650 12 $aSocial Sciences$xstatistics & numerical data
650 12 $aModels, Statistical
655 4 $aElectronic books.
655 0 $aElectronic books.
776 08 $iPrint version:$aBreen, Richard, 1954-$tRegression models.$dThousand Oaks, Ca. : Sage Publications, ©1996$z0803957106$w(DLC) 95032527$w(OCoLC)33165023
830 0 $aQuantitative applications in the social sciences ;$vno. 07-111.
856 40 $uhttp://www.columbia.edu/cgi-bin/cul/resolve?clio4249592$zAll EBSCO eBooks
852 8 $blweb$hEBOOKS