LupPon: Lupu and Pontusson (2011) Replication Data

In panelAR: Estimation of Linear AR(1) Panel Data Models with Cross-Sectional Heteroskedasticity and/or Correlation

Description

Replication data for Table 2, “Determinants of Redistribution”, in Lupu and Pontusson (2011). Data structure is panels of OECD countries from 1969 to 2005. Data contains measurements of redistribution, various summaries of the earnings distribution, and controls.

Usage

LupPon

Format

A dataframe with the following variables:

• country: country name.

• id: country identifier.

• year: time identifier.

• redist: percentage change in Gini coefficients as move from gross market income to disposable income.

• ratio9050: ratio of earnings of a worker in the 90th percentile of the earnings distribution to the earnings of the worker with median income.

• ratio5010: ratio of earnings of a worker with median income to the earnings of a worker in the 10th percentile of the earnings distribution.

• ratio9010: ratio of earnings of a worker in the 90th percentile of the earnings distribution to the earnings of a worker in the 10th percentile of the earnings distribution.

• skew: ratio of the 90-50 ratio to the 50-10 ratio.

• turnout: turnout (as a percentage of eligible voters) in the most recent national election.

• fempar: proportion of working-age women in the labor force.

• propind: electoral system proportionality index (between 0 and 1, where 1 is the highest level of proportionality).

• pvoc: enrollment in vocational training programs as percent of secondary school enrollment.

• union: annual net union density.

• unempl: annual rate of unemployment.

Source

Lupu, Noam and Jonas Pontusson. 2011. “The Structure of Inequality and the Politics of Redistribution.” APSR 105(2): 316-336.

Full dataset is available at: http://www.noamlupu.com/LupPon_APSR.dta.

See Appendix of Lupu and Pontusson (2011) for details of variable sources.

See Also

panelAR. Run demo(LupPon) for examples which use LupPon.

panelAR documentation built on May 1, 2019, 8:19 p.m.