A theoretical and empirical analysis of an adverse selection model of wages and strikes
Notice bibliographique
Résumé
Traditional views are that strikes are the result of mistakes in bargaining [Reder and Neumann (1980), Kennan (1980)] or that they are due to irrational or politically motivated behaviour [Ashenfelter and Johnson (1969)]. However, according to recently developed models of strikes based on the theory of asymmetric information, strikes are not merely mistakes, nor are strikes the outcome of irrational behaviour. The two-type adverse-selection models of Morton (1983) and Hayes (1984) and the sequential bargaining models of Fudenberg, Levine and Ruud (1984) and Tracy (1987) assume that the firm is better-informed than the union about the firm's level of profitability. Since a more profitable firm can afford to pay higher wages, it may be in the interest of the union to elicit information about the level of profitability from the firm. In the asymmetric information models, the union uses strikes to elicit the information from the firm. One of the contributions of the present dissertation is to propose a variant of Hayes' adverse-selection model which may be generalized to an arbitrary number of firm types. Two key results are derived. First, wages and strikes are predicted to satisfy what is called a monotonicity property. Second, there are two kinds of equilibria in the model: a separating equilibrium, which includes the possibility that a strike is the outcome of negotiations, and a pooling equilibrium, which rules out the possibility of a strike. In addition, comparative statics results are derived for all the exogenous variables in the theoretical model, significantly extending the results of Hayes (1984). Without exception, exisiting empirical work examining the asymmetric information theory of strikes estimates separate reduced form equations for strike incidence, strike duration and, to a lesser degree, wage levels. According to the asymmetric information theory, however, wage levels and strike lengths are jointly endogenously determined given values for exogenous variables. A major contribution of the present dissertation is the derivation of a maximum likelihood procedure which allows for joint estimation of strike duration and wage level equations. This econometric model has several attractive features. First, the estimating equations are interpreted as linear approximations to the structural equations of the theoretical model. Second, the likelihood function is derived using the monotonicity property of wages and strikes predicted by the theoretical model. Third, the model allows the data to estimate which observations correspond to separating equilibria and which to pooling equilibria. Fourth, the estimates may be used to calculate the probability of a separating equilibrium at each observation. Finally, it is argued that since the endogenous variables in many models of adverse-selection exhibit a monotonicity property, the econometric model proposed here potentially has a much wider application than simply as a model of wages and strikes. Another contribution of the present dissertation is the assembly of a data set which merges information from 2,459 contracts in Canadian industries covering the period 1964-86 with data specific to the firm. Explanatory variables implied by the theoretical model are then used to test the comparative statics predictions in the econometric model of wages and strikes. The empirical results confirm all but one of the comparative statics predictions of the theory, and the econometric model fits the data well. Pooling equilibria are estimated to be present in approximately 13% of the contracts. In addition, the results are entirely consistent with the stylized facts concerning the behaviour of strikes over time, the business cycle and relative to other variables.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,006 | 0,027 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,001 |
| Bibliométrie | 0,002 | 0,003 |
| Études des sciences et des technologies | 0,002 | 0,003 |
| Communication savante | 0,005 | 0,006 |
| Science ouverte | 0,002 | 0,001 |
| Intégrité de la recherche | 0,003 | 0,005 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,028 | 0,002 |
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 source (Gemma direct ou Codex distillé), 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 ».