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Labour economics

Economics (BA) · Development, public and environmental economics · free study notes for exams, placements and interviews

In short

Labour economics studies how wages, employment and working conditions are determined by the decisions of workers (supply) and firms (demand), and how institutions — unions, minimum wages, labour codes, social security — change those outcomes. It matters in India because roughly half the workforce is still in agriculture or informal work, female participation is low, and policy debates on the four Labour Codes, rural employment-guarantee wages and skilling turn on exactly this analysis. It is examined in BA/MA Economics papers on labour and development economics, in UGC-NET and Indian Economic Service papers, and in RBI Grade B / NABARD / SEBI phase-II descriptive papers. Employers test it in roles at policy think-tanks, HR analytics, consulting and data teams that read PLFS, EPFO and NSS data.

Explained

Labour supply: the individual and the aggregate

Labour demand and wage determination

Human capital and earnings

Unemployment, search and segmentation

Institutions, discrimination and Indian labour law

Key points

Formulas and examples

Budget constraint: C = wH + V; time constraint T = H + L (T = total hours, H = work hours, L = leisure hours)
Optimum: MRS(L for C) = MU_L / MU_C = w (real wage, ₹/hour)
MRP_L = MR × MP_L = P × MP_L (₹ per worker per period); hiring rule MRP_L = W
Elasticity of labour demand: E_D = (%ΔL) / (%ΔW), negative
Marginal cost of labour (monopsony): MC_L = W + L·(dW/dL)
Labour force = employed + unemployed (persons seeking or available for work)
LFPR = (labour force / population) × 100; WPR = (employed / population) × 100; UR = (unemployed / labour force) × 100
Mincer: ln W = β₀ + β₁S + β₂X + β₃X² + u (S = years of schooling, X = years of experience)
Net present value of schooling: NPV = Σ_{t=1..n} ΔE_t / (1+r)t − (direct costs + foregone earnings)
Expected urban wage (Harris–Todaro): W_e = W_u × (E_u / L_u), where E_u/L_u = probability of formal employment
Oaxaca–Blinder: (W̄_m − W̄_f) = β_m(X̄_m − X̄_f) + X̄_f(β_m − β_f) [explained + unexplained]
Wage share in output = (W × L) / (P × Q)

Example 1 — Labour force rates. A district of 10,000 persons aged 15+: 4,200 employed, 300 unemployed and seeking work, 5,500 outside the labour force.

Example 2 — Profit-maximising employment. Output price ₹50 per unit; the marginal product schedule and a market wage of ₹1,000 per worker per day:

Workers LTotal productMP_L (units)MRP_L = ₹50 × MP_LWage ₹Hire?
140402,0001,000Yes
275351,7501,000Yes
3105301,5001,000Yes
4130251,2501,000Yes
5150201,0001,000Marginal — hire
6164147001,000No

Example 3 — Monopsony. Labour supply W = 200 + 20L (₹/day); MRP_L = 1,000 − 10L.

Example 4 — Returns to schooling (Mincer). Estimated ln W = 2.9 + 0.08S + 0.05X − 0.0008X².

Example 5 — Schooling investment decision. Three extra years of college cost ₹60,000/year in fees and ₹1,80,000/year in foregone earnings; it raises annual earnings by ₹1,20,000 for 30 working years. Discount rate 8%.

ConceptCompetitive marketMonopsonyWith union/minimum wage
Wage= MRP_L< MRP_Lset above equilibrium
EmploymentEfficientBelow efficientFalls (competitive) / may rise (monopsony)
Supply faced by firmHorizontal at WUpward slopingHorizontal at the floor
Indian exampleUrban casual construction labourIsolated plantations, company townsScheduled-employment minimum wages, PSU pay scales

Where it is used

Interview questions

Common mistakes

Related topics

Economic growth and development · Measuring inequality and poverty · Health and education economics · Urban and regional economics · Public finance and taxation · Industrial economics and market structure

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