KAT.TAL.322 Advanced Course in Labour Economics
August 27, 2025
How people choose
maxC,hU(C,L0−h)subject toC≤wh+Y
First-order conditions of the Lagrangian are
UC(C,L)=λUL(C,L)=λw
Solution pair C∗(w,Y) and h∗(w,Y) satisfies
UL(C∗,L∗)UC(C∗,L∗)=wandC∗=wh∗+Y
How does optimal labour supply change with w?
Marshallian (uncompensated) wage elasticity: εhw=∂lnh∗∂lnw
Hicksian (compensated) wage elasticity: ηhw=∂lnˆh∂lnw
Decomposition into substitution and income effects:
εhw=ηhw+whYεhY
Source: Wikipedia
Source: Wikipedia
Household represented by single utility function U(C,L1,L2)
Budget constraint C+w1L1+w2L2≤Y1+Y2+(w1+w2)L0
Simple extension of static model
Consumption depends on total resources only
Not consistent with empirical studies
Individual utility functions U1(C1,L1),U2(C2,L2)
Budget constraint C1+C2+w1L1+w2L2≤R1+R2+(w1+w2)L0
maxC1,C2,L1,L2U1(C1,L1)s.t.budget constraintU2(C2,L2)≥ˉU2
Chiappori (1992): equivalent to
maxCi,LiUi(Ci,Li)s.t.Ci+wiLi≤wiL0+Φi
where Φi describes how resources R1+R2 are shared in the household.
General utility function U(C0,…,CT;L0,…,LT) (intractable)
Separable utility function ∑Tt=0U(Ct,Lt,t)
Budget constraint At=(1+rt)At−1+Bt+wt(1−Lt)−Ct
L=∑tU(Ct,Lt,t)−∑tνt[At−(1+rt)At−1−Bt−wt(1−Lt)+Ct]
First-order conditions:
UL(Ct,Lt,t)UC(Ct,Lt,t)=wtνt=(1+rt+1)νt+1∀t∈[0,T]
Iterating over all periods: lnνt=−∑tτ=1ln(1+rτ)+lnν0
Frisch elasticity ψhw (holding νt constant)
Marshallian elasticity εhw (takes into account νt)
Hicksian elasticity ηhw (holding lifetime utility constant)
It is possible to show that ψhw≥ηhw≥εhw
Interpretation
Transitory changes in wages affect labour supply more than permanent changes.
Period utility U(Ct,Lt,t)=C1+ρt1+ρ−βtH1+γt1+γ
FOC: Hγt=1βtνtwt⇒lnHt=1γ(−lnβt+lnνt+lnwt)
Basic regression equation
lnHit=αwlnwit+αRRit+θXit+vit
Interpretation of αw: Frisch, Marshallian or Hicksian? Depends on Rit!
Two-stage budgeting
Solution method of lifecycle labour supply models (Blundell and Macurdy 1999)
lnHit=αwlnwit+αR(Cit−witHit)+θXit+vit
Marshallian wage elasticity: αw
Income effect: αRwH
Hicksian wage elasticity: αw−αRwH
Recall that lnνt=−∑tτ=1ln(1+rτ)+lnν0≡−ln(1+r)t+lnν0 (if rτ=r ∀τ)
Substitute αRRit=ρt+αRlnν0,i into basic equation:
lnHit=ρt+αwlnwit+αRlnν0,i+θXit+vitΔlnHit=ρ+αwΔlnwit+θΔXit+Δvit
Frisch wage elasticity: αw
Wages and hours worked are endogeneous
Hours (H|H>0) and participation (H>0)
Measurement errors
Measures of Cit
Individual vs aggregate labour supply
Source: Pencavel (1986)
Source: Blundell, Duncan, and Meghir (1998)
Source: Chetty et al. (2012)
Also some research on work effort for given hours of work (Dickinson 1999)
Classical measurement error in wit attenuates the estimate of αw
“Denominator bias” ↓αw if wages are computed as ratio of earning and hours with measurement errors. M. P. Keane (2011) computes average Hicksian elasticity
among all papers: 0.31
among papers with direct measure of wit: 0.43
PSID (US) dataset only includes food consumption data
Consumption measure | Marshall | Hicks | Income | Frisch |
---|---|---|---|---|
PSID unadjusted | -0.442 | 0.094 | -0.536 | 0.148 |
Food + imputed (food prices, demographics) | -0.468 | 0.328 | -0.796 | 0.535 |
Food + imputed (house value, rent) | -0.313 | 0.220 | -0.533 | 0.246 |
Source: (M. P. Keane 2011, Table 5)
Macro elasticities of labour supply typically higher than micro estimates
M. Keane and Rogerson (2012) highlight:
Incorporate discrete choices into model of labour supply
M. P. Keane and Wolpin (2010) combine all + school and welfare participation choices
Next lecture: Labour Demand on 01 Sep