Abstract
Two sources of sample selection bias emerging simultaneously from panel attrition and residential relocation and their effect on activity participation are examined. The data used were from two time points (Wave 1 in 1989 and Wave 2 in 1990) of the Puget Sound Transportation Panel. Data regarding relocation decisions, taking place between Wave 1 and Wave 2, are available for the households that participated in both waves (participants) and are not available for the households that participated in the first wave only (dropouts). Double selection was associated with the possible simultaneous or sequential decision process underlying participation in the survey and household residential relocation. The method used is based on a bivariate probit model that accounts for selectivity. The method emerges from the unknown relocation status of the dropouts in Wave 2. Subsequent creation of correction terms, needed to account for the lack of data on dropout households' activity participation in Wave 2, uses the probit model. The method, called the Tunali method, is a two-step procedure that follows the usual Heckman method. The models estimated, that is, the bivariate probit model of double-selection and activity participation linear regressions corrected and uncorrected for selection, are provided.
| Original language | English |
|---|---|
| Pages (from-to) | 128-135 |
| Number of pages | 8 |
| Journal | Transportation Research Record |
| Issue number | 1493 |
| Publication status | Published - 1995 Jul 1 |
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All Science Journal Classification (ASJC) codes
- Civil and Structural Engineering
- Mechanical Engineering
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Sample selection bias with multiple selection rules : application with residential relocation, attrition, and activity participation in Puget sound transportation panel. / Chung, Jin Hyuk; Goulias, Konstadinos G.
In: Transportation Research Record, No. 1493, 01.07.1995, p. 128-135.Research output: Contribution to journal › Article
TY - JOUR
T1 - Sample selection bias with multiple selection rules
T2 - application with residential relocation, attrition, and activity participation in Puget sound transportation panel
AU - Chung, Jin Hyuk
AU - Goulias, Konstadinos G.
PY - 1995/7/1
Y1 - 1995/7/1
N2 - Two sources of sample selection bias emerging simultaneously from panel attrition and residential relocation and their effect on activity participation are examined. The data used were from two time points (Wave 1 in 1989 and Wave 2 in 1990) of the Puget Sound Transportation Panel. Data regarding relocation decisions, taking place between Wave 1 and Wave 2, are available for the households that participated in both waves (participants) and are not available for the households that participated in the first wave only (dropouts). Double selection was associated with the possible simultaneous or sequential decision process underlying participation in the survey and household residential relocation. The method used is based on a bivariate probit model that accounts for selectivity. The method emerges from the unknown relocation status of the dropouts in Wave 2. Subsequent creation of correction terms, needed to account for the lack of data on dropout households' activity participation in Wave 2, uses the probit model. The method, called the Tunali method, is a two-step procedure that follows the usual Heckman method. The models estimated, that is, the bivariate probit model of double-selection and activity participation linear regressions corrected and uncorrected for selection, are provided.
AB - Two sources of sample selection bias emerging simultaneously from panel attrition and residential relocation and their effect on activity participation are examined. The data used were from two time points (Wave 1 in 1989 and Wave 2 in 1990) of the Puget Sound Transportation Panel. Data regarding relocation decisions, taking place between Wave 1 and Wave 2, are available for the households that participated in both waves (participants) and are not available for the households that participated in the first wave only (dropouts). Double selection was associated with the possible simultaneous or sequential decision process underlying participation in the survey and household residential relocation. The method used is based on a bivariate probit model that accounts for selectivity. The method emerges from the unknown relocation status of the dropouts in Wave 2. Subsequent creation of correction terms, needed to account for the lack of data on dropout households' activity participation in Wave 2, uses the probit model. The method, called the Tunali method, is a two-step procedure that follows the usual Heckman method. The models estimated, that is, the bivariate probit model of double-selection and activity participation linear regressions corrected and uncorrected for selection, are provided.
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UR - http://www.scopus.com/inward/citedby.url?scp=0029332911&partnerID=8YFLogxK
M3 - Article
AN - SCOPUS:0029332911
SP - 128
EP - 135
JO - Transportation Research Record
JF - Transportation Research Record
SN - 0361-1981
IS - 1493
ER -