Using a sample of skilled workers from a cross section of
establishments in four metropolitan areas of the United States, l
present evidence suggesting that promotions are determined by relative
worker performance. I then estimate a structural model of promotion
tournaments (treating as endogenous promotions, worker performance, and
the wage spread from promotion) that simultaneously accounts for worker
and firm behavior and how the interaction of these behaviors gives rise
to promotions. The results are consistent with the predictions of
tournament theory that employers set wage spreads to induce optimal
performance levels, and that workers are motivated by larger spreads.
1. Introduction
* Since the seminal work on tournament theory by Lazear and Rosen
(1981), an extensive theoretical literature has emerged on the subject
of promotions as incentive mechanisms. (1) In the tournament model,
workers of a given rank in an organization compete for promotion to the
next level of the job hierarchy, with the promotion (and associated wage
increase) awarded to the worker with the highest performance. The prize
is the difference in wages between the post-promotion and pre-promotion
jobs, and this is chosen by the employer to induce the optimal level of
worker effort in the pre-promotion job. Tournament theory has important
implications for the compensation structure of the firm and its relation
to worker effort and performance. It provides a theory of career
advancement and promotions within firms. Despite the theoretical appeal
of the tournament model, its practical relevance as an explanation for
promotions remains an open empirical question. Empirical tests of
tournament theory have been of two main types. The first type focuses
only on the behavior of workers (or agents), testing to see whether
tournaments have incentive effects in that larger prizes imply higher
levels of performance, usually in the context of sporting events rather
than promotion decisions in typical firms. The second type focuses only
on the behavior of the firm (or principal), testing to see whether
compensation spreads appear to be structured to produce incentives in
the manner predicted by tournament theory. In this article I diverge
from both streams of previous empirical literature by considering the
behavior of workers and firms jointly rather than in isolation. I do
this in the context of greatest interest, namely promotion decisions in
typical firms. Using a cross-sectional employer dataset containing
information on promotions, wage spreads from promotion, worker
performance, and worker, firm, and job characteristics, I estimate a
structural model treating performance, the wage spread, and promotions
as endogenous variables. In contrast to the studies in the first branch
of empirical literature that regress a measure of the agent's
performance on a spread that is assumed to be exogenous, I treat this
spread as endogenous in the performance equation, since it is chosen by
the firm to induce the optimal worker effort choice. To my knowledge,
this is the first study of tournament theory in which the empirical
methodology accounts for the optimizing behavior of both workers and
firms, and how these behaviors jointly determine promotion outcomes. I
describe how the interaction of worker and firm behavior has testable
implications that would be missed by considering only worker behavior or
firm behavior individually.
Central to tournament theory is the idea that promotions are
determined by relative performance. Competitions based on relative
performance, with the highest performer of a given rank winning the
promotion, arise when internal hiring policies are combined with fixed
job hierarchies. Throughout this article I refer to such situations as
internal promotion competitions. Tournament theory takes the notion of
an internal promotion competition and adds stronger implications arising
from the optimizing behavior of workers and firms, in particular that
firms optimally set wages to create incentives. Thus, a promotion
tournament is a special case of an internal promotion competition, with
additional testable implications.
I present two sets of empirical results in this article. In the
first, I provide evidence suggesting that promotions are determined by
relative performance for workers in a cross section of establishments.
In the second, I estimate a three-equation structural model, finding
support for the stronger predictions of tournament theory. A
distinguishing feature of the data is the presence of employer-reported
worker performance ratings. Such information is rare in datasets that
span many establishments. The performance data allow a test of the
incentive effects of tournaments in the context of greatest interest,
namely promotion decisions in conventional firms. Prendergast (1999)
criticizes the empirical incentives literature for what he perceives as
its excessive focus on the contracts of workers for whom objective
measures of output are readily available (e.g., CEOs, golfers, mutual
fund managers, tree cutters, windshield installers, etc.). As
Prendergast argues, most people do not work in such jobs. Instead, most
workers are evaluated on subjective criteria. Since the analysis in this
article is based on a broad cross section of workers for whom the
relevant output measure is a subjective performance rating, it
contributes results to the empirical incentives literature on the types
of "typical jobs" that are rarely studied.
A common approach in empirical analyses of promotions is to study
comprehensive data on all of the workers in a single firm, the identity
of which is often undisclosed. Examples of such studies include Lazear
(1992), Baker, Gibbs, and Holmstrom (1994a, 1994b), Audas, Barmby, and
Treble (2004), and DeVaro and Waldman (2005). A small number of
influential studies in this vein, most notably those of Baker, Gibbs,
and Holmstrom, have significantly shaped the development of new theory
on careers, as in the recent studies by Gibbons and Waldman (1999,
2006). In addition to large sample sizes and rich sets of consistently
measured variables, the great advantage of single-firm datasets is that
there is only one set of firm-specific institutions and procedures
operating rather than a multitude of different processes, as is the case
in a cross section. Such single-firm studies are useful in identifying
the empirical regularities that hold simultaneously in one environment.
Their advantages notwithstanding, since case studies are based only on
single firms, there is no way of knowing how representative the
firm's behavior is. In addition, the single firms that are analyzed
tend to be selected nonrandomly, making it difficult to draw general
inferences about employer behavior even when pooling the results from
multiple case studies. An alternative approach, and the one taken in
this article, is to use broader cross sections or panels of employers.
Examples of this approach include McCue (1996), DeVaro and Brookshire
(2007), and Belzil and Boganno (2005). Empirical work based on such
broader samples of workers in a range of firms provides important
information that complements the more detailed case studies of
individual firms. In estimating a structural model using data spanning
the full spectrum of firm sizes and types, industries, and distinct
geographic labor markets, I aim to shed light on how well tournament
theory describes the general tendencies of employer behavior.
2. Background and previous literature
* Lazear and Rosen (1981) showed that compensation schemes based on
workers' ranks within an organization are attractive alternatives
to output-contingent contracts, particularly when an employer cannot
easily measure a worker's output. More precisely, tournaments
induce the same efficient allocation of resources as output-contingent
contracts such as piece rates and quotas, when the principal and agents
are risk-neutral. In the model, two identical, risk-neutral workers in a
firm compete in a low-level job for promotion to a high-level job. (2)
The promotion (and its associated higher pay) is awarded to the worker
who performs the best in the low-level job during some observation
period. The prize from winning the promotion, commonly referred to as
the "spread" is the wage difference between the two jobs. The
firm chooses the spread before observing worker performance, with the
knowledge that workers will then choose effort levels accordingly.
Worker performance is a function of effort and a stochastic
"luck" component that is independent across workers, with mean
zero and variance [theta]. Having observed the wage spread, the worker
chooses an effort level to maximize expected utility. The resulting
optimal labor supply condition states that the worker chooses the effort
level that equates the marginal return of effort to its marginal cost.
This optimal labor supply condition and the assumed convexity of the
effort cost function give rise to two implications about the optimal
effort level. First, effort is increasing in the wage spread. (3)
Second, effort is decreasing in [theta]. Intuitively, when random
factors over which the worker has no control become more important
determinants of the promotion probability, the marginal return to effort
declines and the worker's incentives to exert effort are depressed.
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