GrowthMPP: Determinants of Economic Growth
In WALS: Weighted-Average Least Squares Model Averaging

GrowthMPP

R Documentation

Determinants of Economic Growth

Description

Growth regression data used in \insertCitemagnus2010growth;textualWALS.

Usage

GrowthMPP

Format

A data frame with 72 observations on 11 variables:

country: factor. Name of the country.
gdpgrowth: Average growth rate of GDP per capita from 1960 - 1996 at purchasing power parity.
lgdp60: Logarithm of GDP per capita in 1960.
equipinv: Average real equipment investment share of GDP from 1960 - 1985 comprising investments in electrical and nonelectrical machinery (in relative prices constant across countries).
school60: Enrollment rate for primary education in 1960.
life60: Life expectancy at age 0 in 1960.
popgrowth: Average growth rate of population from 1960 - 1996.
law: Index for the overall maintenance of the rule of law ('law and order tradition').
tropics: Proportion of country's land area within geographical tropics.
avelf: Average of five different indices of ethnolinguistic fragmentation which is measured as the probability of two random people in a country not sharing the same language.
confucian: Fraction of Confucian population in 1970 and 1980.

Details

The dataset is used in \insertCitemagnus2010growth;textualWALS to illustrate the WALS model averaging approach and combines the data used in \insertCitesala2004bace;textualWALS and \insertCitesala1997reg;textualWALS. See the references for more detailed descriptions and original sources of the variables.

Source

WALS package for MATLAB (and Stata) provided on Jan Magnus' personal website. https://www.janmagnus.nl/items/WALS.pdf.

References

\insertAllCited

Examples

## Replicate Table 2 in Magnus et al. (2010)
# NOTE: prescale = FALSE, still used old version of WALS in Magnus et al. (2010).
# Not recommended anymore!
fitMPP <- wals(gdpgrowth ~ lgdp60 + equipinv + school60 + life60 + popgrowth |
                  law + tropics + avelf + confucian, data = GrowthMPP,
                prior = laplace(), prescale = FALSE)
tableMPP <- cbind("coef" = coef(fitMPP), "se" = sqrt(diag(vcov(fitMPP))))
print(round(tableMPP, 4))

WALS documentation built on June 22, 2024, 9:42 a.m.