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Table 4 Perceptions of fairness and inequality in various subsamples

From: Inequality of opportunities in the labor market: evidence from life in transition surveys in Europe and Central Asia

 

Did better than peers

Did worse than peers

Favors redistribution

Does not favor redistribution

Satisfied with the economy

Not satisfied with the economy

Markets are better

Markets are worse

Democracy is better

Democracy is worse

 

Fairness

Fairness

Fairness

Fairness

Fairness

Fairness

Fairness

Fairness

Fairness

Fairness

Theil-L (within group)

-0.008

0.004

0.003

-0.009

-0.023***

0.010***

-0.027***

0.018***

-0.014***

0.020***

(0.007)

(0.004)

0.000

(0.008)

(0.009)

(0.003)

(0.005)

(0.004)

(0.004)

(0.005)

Theil-L (between group)

-0.095***

-0.094***

-0.089***

-0.115***

-0.062

-0.087***

-0.042***

-0.106***

-0.088***

-0.088***

(0.032)

(0.017)

0.000

(0.038)

(0.040)

(0.016)

(0.025)

(0.018)

(0.021)

(0.021)

D-Index (20 + hrs of work) [Share of circumstances]

-0.023*

-0.033***

-0.038***

0.001

-0.039***

-0.031***

-0.058***

-0.023***

-0.039***

-0.031***

 

(0.012)

(0.005)

0.000

(0.013)

(0.011)

(0.006)

(0.008)

(0.006)

(0.007)

(0.007)

  1. Note: Each cell represents a separate regression of either perception of fairness on the particular measure of inequality. The variables included in individual and household characteristics are whether one holds a job with 20+ hours of work, age, squared-age, educational level, education of the parents, self-reported minority status, parents’ participation in (or affiliation to) communist party, religious affiliation and household expenditure. Other individual beliefs include expressed opinions regarding democracy, the market economy, the need to reduce inequality through government action, financial situation of the country and whether one believes he/she is doing better than others in the country. The regressions also control for the average expenditure level for the country as well as five dummies, CI Middle, CI Low, EU, South East and Others to control for variation between different kinds of countries in the sample.