Union pay premium in China: an individual-level analysis
Notice bibliographique
Résumé
Purpose – The purpose of this paper is to estimate the union-nonunion pay gap impact separately for wages and bonuses as well as total compensation to include both wages and bonuses in China. The way in which the impact varies as control variables are added is illustrated as is how the impact varies by the type of firm ownership. The overall pay gap is also decomposed into a component due to differences in their pay determining characteristics as well as a component due to differences in their returns to those characteristics. These separate components are also calculated throughout the pay distribution. Design/methodology/approach – Using the 2010 China Family Panel Studies Survey, a nationally representative survey in China, the methodology involves different estimation procedures as appropriate for the nature of the data and the dependent variables. First the authors estimate a single equation to determine the union-nonunion pay gap. Then the authors estimate the union impact on the various components of compensation (wages and bonuses). Next the authors decompose the relative contribution of each factor in explaining the wage gap. Finally, quantile regressions are used to examine the union impact across various levels of the pay distribution. Findings – The authors find a gross union-nonunion pay gap (wages + bonuses) of 42 percent, dropping to 12 percent after controlling for the effect of other pay determining factors. The union impact on wages is only 8 percent, but bonuses are about twice as high for union workers. The union impact is essentially zero for (state-owned firms) SOEs and for foreign-owned firms but it is large at 16 percent for private firms and even larger at 22 percent for government agencies. Of the overall pay gap of 42 percent, about three-quarters is attributable to differences in their endowments of pay determining characteristics and about one-quarter to differences in the returns for the same endowments of characteristics. Quantile regressions reveal that the pure or adjusted union wage premium exhibits a u-shaped pattern being highest in the bottom and to a lesser extent the top of the pay distribution. Originality/value – There are a dearth of studies examining the union-nonunion pay gap in China. Of the studies that examine this issue, all of them are at the enterprise level with no studies at the individual level. Taking a nationally representative dataset at the individual level, the authors are able to estimate the union-nonunion pay gap in China. The authors identify the portion of the gap that reflects differences in endowments of pay determining characteristics and the portion that reflects different returns to those characteristics, and the relative contribution of the different variables to those components; and how these components change over the pay distribution. The authors also offer explanations for many of these patterns.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».