1982
DOI: 10.2307/145473
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Union/Nonunion Differentials: Membership or Coverage?

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Cited by 30 publications
(22 citation statements)
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“…Thus, consistent with the conclusions of Jones (1982), union status rnisclassification shown in section 3 not to hold true for the entire sample. If there have been structural changes between the year-pairs used in the first differencing, then resulting coefficient estimates may be biased (Baltagi 1995).…”
Section: The Probationary Period Of Initial Union Membership and Uniosupporting
confidence: 75%
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“…Thus, consistent with the conclusions of Jones (1982), union status rnisclassification shown in section 3 not to hold true for the entire sample. If there have been structural changes between the year-pairs used in the first differencing, then resulting coefficient estimates may be biased (Baltagi 1995).…”
Section: The Probationary Period Of Initial Union Membership and Uniosupporting
confidence: 75%
“…Table 1 suggests, if anything, the opposite is the case. Jones (1982) argues this is due to a high degree of mi sclassification among covered nonmembers. Using NLS data, she shows that freeriders are much more likely not to name their covering union, suggesting many of these workers are mi sclassified as covered rather than uncovered.…”
Section: Union Density and Wage Diff Erentialsmentioning
confidence: 99%
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“…Although Jones (1982) using the National Longitudinal Survey (NLS) finds a very small member/non-member covered worker wage premium, subsequent investigation typically finds quite large effectssee for example the studies using the NLS by Blakemore et al (1986), and Hunt, Kiker and Williams (1987); the more recent studies using the Current Population Survey (CPS) by Hundley (1993), Schumacher (1999), and Budd and Na (2000);and Hildreth (2000) who uses the British Household Panel Survey (BHPS).…”
Section: What Might Explain the Member/non-member Covered Wage Premium?mentioning
confidence: 99%
“…It is commonly suggested (see for example Jones, 1982) that in individual-level surveys union 10 We lose 10% of our employees in the covered sector by dropping these smaller establishments. We also estimated all our models retaining workers in these smaller workplaces, and the main results of the paper are unchanged.…”
mentioning
confidence: 99%