2004
DOI: 10.1086/424741
|View full text |Cite
|
Sign up to set email alerts
|

Distribution of Ability and Earnings in a Hierarchical Job Assignment Model

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
58
0
1

Year Published

2006
2006
2014
2014

Publication Types

Select...
8
1

Relationship

0
9

Authors

Journals

citations
Cited by 44 publications
(59 citation statements)
references
References 14 publications
0
58
0
1
Order By: Relevance
“…8 We make the following assumptions about the production function. First, to generate production in a unit, both managerial and non-managerial tasks must be performed, q(E, 0) = q(0, M) = 0.…”
Section: The Modelmentioning
confidence: 99%
See 1 more Smart Citation
“…8 We make the following assumptions about the production function. First, to generate production in a unit, both managerial and non-managerial tasks must be performed, q(E, 0) = q(0, M) = 0.…”
Section: The Modelmentioning
confidence: 99%
“…Assumption (2) assures that q(E, M) is not too concave, so that more able managers find it worthwhile to put in more managerial effort m s i,m than less able managers, see Proposition 1. 10 Lastly, we 8 Here, we use the result, derived in Section 4.1, that in equilibrium all workers in sector s exert the same level of effort. This allows us to write the total amount of effort exerted by workers in the unit as n s i e s w .…”
Section: The Modelmentioning
confidence: 99%
“…In labour economics, it has long been recognised that the assignment of workers to tasks affects wages (see the survey by Sattinger, 1993). For example, Teulings (1995) and Costrell and Loury (2004) provide general equilibrium models where, similar to the approach used here, high-ability workers have a comparative advantage in performing demanding jobs. As a main feature of assignment models, which the present paper shares, these contributions show that the wage differential obtained by high-ability workers does not only reflect productivity differences on any given job but depends on the matching between workers and tasks.…”
Section: Introductionmentioning
confidence: 99%
“…Given Equation (1), 1 Setting ln A = , a constant, we differentiate Equation (4) by WOM as α follows: the definition of WOM elasticity ( WOM ) is Equation (2), where ΔQ is the change in the amount of sales, ΔC is the change in the consumption, and ΔWOM is the change in WOM. E Finally, as in Equation (3), a basic function type is set as a Cobb-Douglas functional form, which is very easy to manipulate and has been widely used in prior studies in various fields (e.g., Costrell & Loury, 2004;Wirjanto, 2004); In Equation (3), where e is an exponential, A and β are constants, and ε is a random variable. We then take the natural logarithm (ln) to plus on both sides of Equation (3) to obtain a simple linear regression equation as Equation (4).…”
Section: Mathematical Notationsmentioning
confidence: 99%