Intensive Margin Daily Labor Supply Adjustment

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In Simple Words

Adjusting labor supply on the intensive margin in a developing market is like a freelance handyman who cannot change his hourly rate or get a full-time contract; instead, he increases his total earnings by booking and working additional full workdays throughout the week whenever jobs become available.

Young male job applicants in Malawi

Without short work experience
Reference days-worked outcome
With short work experience
About one more day worked weekly

Eight-month instrumental-variable estimate from randomized fallback-job chances. Five days of initial work; result concerns days, not hours.

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Research question

In low-income labor markets characterized by severe underemployment, workers rarely have opportunities to alter their labor supply through hourly wage adjustments or full-time salaried agreements. Instead, labor supply adjustments occur primarily along discrete daily work schedules.

Participants

N = 227 urban Malawian male job seekers with secondary education in Lilongwe, Malawi (national benchmark sample: urban educated men working an average of 23.4 hours per week).

Study Design

Observational baseline survey combined with instrumental variables (IV) estimation evaluating the impact of short-term employment exposure on weekly days worked.

Results

Urban educated men worked only 23.4 hours per week conditional on employment; acquiring 5 days of work experience increased labor supply on the intensive margin by 1 additional day worked per week on average (p < 0.10).

Takeaway

Design active labor market policies and wage evaluations around days worked per week rather than hourly compensation rates in underemployed urban contexts.

Source and citation

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Plain-English glossary

Original explanations, informed by the references below. Examples are illustrations, not data from the studies above. The research text stays unchanged.

Baseline

The starting measurements in a study. Researchers use these to compare what participants were like at the start with what happens later.

ExampleBefore a training programme starts, researchers measure workers’ earnings. That first measurement is the baseline.

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