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Table 6 Variance decomposition: estimated firm effects and predicted wage from worker characteristics

From: The role of the firm in worker wage dispersion: an analysis of the Ghanaian manufacturing sector

 

Surge in inequality

Decline in inequality

 

1992 to <1998

1998 to 2003

 

(1)

(2)

All firms

  

Earnings dispersion: Var(lnw)

1.460

1.318

Individual characteristics: Var(κ)

0.235

0.331

Firm fixed effect: Var(δ)

0.595

0.385

Cov(κ,δ)

0.175

0.164

Sorting: worker–firm ρ δ

0.745

0.495

Residuals: Var(u)

0.498

0.385

Firms with private domestic ownership

  

Earnings dispersion: Var(lnw)

1.551

1.369

Individual characteristics: Var(κ)

0.308

0.400

Firm fixed effect: Var(δ)

0.387

0.232

Cov(κ,δ)

0.124

0.081

Sorting: worker–firm ρ δ

0.403

0.202

Residuals: Var(u)

0.580

0.535

Firms with any foreign ownership

  

Earnings dispersion: Var(lnw)

0.803

0.825

Individual characteristics: Var(κ)

0.139

0.214

Firm fixed effect: Var(δ)

0.134

0.441

Cov(κ,δ)

0.036

−0.075

Sorting: worker–firm ρ δ

0.259

−0.350

Residuals: Var(u)

0.808

1.413

  1. Data from CSAE-RPED on the Ghanaian manufacturing sector from 1992 to 2003. Regressions are extensions of Mincerian equations and include the following independent variables: age, age squared, education, education squared, experience and its squared, and firm fixed effects. Dependent variable is log real hourly earnings, κ is predicted wage from observed worker characteristics, δ is firm effect on earnings, and ρ δ is the correlation between the worker characteristics and firm effects