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High Unemployment Yet Few Small Firms: Appendix: Model, Maps, and Auxilliary Tables

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Jeremy R. Magruder (2000). High Unemployment Yet Few Small Firms: Appendix: Model, Maps, and Auxilliary Tables. Online appendix to the paper 'High Unemployment Yet Few Small Firms'.

Type working paper
Scope Post-1994 South African economy
Method econometric
Period studied 2000–2003
Regions South Africa (magisterial districts), Furniture manufacturing, construction, retail trade, hotels and restaurants
Themes labour markets wages, inequality poverty unemployment, unions strikes, methods data sources, transition post apartheid
Citation key magruder2000

Argument

The appendix supports the main paper's claim that industry-level bargaining council agreements in post-apartheid South Africa raise wages and reduce employment, especially in small firms. A partial-equilibrium model has bargaining council wages set above the market-clearing wage but below the private union wage, so small firms and non-unionized large firms cut employment. Large unionized firms may expand, and total employment effects depend on firm composition. The appendix describes how bargaining council coverage is mapped and instrumented with district-council eligibility. It then reports robustness checks: worker composition, spatial-industry-year fixed effects, and weighted spatial fixed effects. These show that the employment and wage patterns hold across a wide range of assumptions about spatial heterogeneity.

Evidence and method

Magisterial-district-level coding of bargaining council coverage from labour law for four industries over 2000-2003. Labour force survey data on wages, employment, tenure, worker characteristics and unionization rates. The appendix does not name the survey series beyond 'labour force surveys'. Firm-size categories and population controls are also used.

Findings

  • The instrument (bargaining council eligibility) strongly predicts actual bargaining council status. (p. 2)

    In all specifications, the t-statistic of Bargaining council status on bargaining council eligibility is at least 9.8.

  • The model predicts that small firms will employ fewer workers under a bargaining council, while the net effect on large firms and total employment is ambiguous. (p. 6)

    small firms will overall employ fewer workers under the bargaining council regime, while the direction of the large firm employment effect will depend on λ and the production function.

  • Controlling for worker composition reduces the estimated wage effect somewhat, and the clearest compositional change is a higher male share of the workforce. (p. 6)

    controlling for these observable characteristics attenuates the effect of bargaining councils on wages somewhat, with estimated effects dropping by about 5 percentage points.

  • Bargaining councils are associated with longer average tenure, consistent with hiring and firing regulation. (p. 7)

    Mean tenures are increasing by about 18-19% in response to bargaining council regulations

  • Using only spatial variation (spatial-industry-year FEs) gives much larger employment effects than the main specification. (p. 8)

    using only spatial variation, we would conclude that employment effects were 10-23% and small firm employment effects were 26-37% rather than the 8-12% estimates using the main specification.

  • Wage effects under spatial-industry-year FEs are also larger and concentrated among small-firm employees, with small or no effects on large firms. (p. 9)

    large wage effects overall and on small firm employees, and small or nonexistent wage effects on large firm employees.

  • Employment effect estimates are stable across spatial weighting schemes, but significance depends on the weight placed on local comparisons. (p. 11)

    coefficient estimates of the effect of bargaining councils on employment are very stable to spatial heterogeneity, ranging from about a 7% to an 8% effect

  • Small-firm employment effects remain significant under all spatial weights. (p. 12)

    point estimates range from about 7% to 12% depending on the spatial heterogeneity, and point estimates are always statistically significant.

  • Coverage changes over time are limited in some industries; hotels and restaurants barely change. (p. 14)

    Magisterial Districts with a BC 31 32 32 32