R: Determinants of Economic Growth

GrowthDJ {AER} | R Documentation

## Determinants of Economic Growth

### Description

Growth regression data as provided by Durlauf & Johnson (1995).

### Usage

    data("GrowthDJ")

### Format

A data frame containing 121 observations on 10 variables.

oil

  factor. Is the country an oil-producing country?

inter

  factor. Does the country have better quality data?

oecd

  factor. Is the country a member of the OECD?

gdp60

  Per capita GDP in 1960.

gdp85

  Per capita GDP in 1985.

gdpgrowth

  Average growth rate of per capita GDP from 1960 to 1985 (in percent).

popgrowth

  Average growth rate of working-age population 1960 to 1985 (in percent).

invest

  Average ratio of investment (including Government Investment) to GDP from 1960 to 1985 (in percent).

school

  Average fraction of working-age population enrolled in secondary school from 1960 to 1985 (in percent).

literacy60

  Fraction of the population over 15 years old that is able to read and write in 1960 (in percent).

### Details

The data are derived from the Penn World Table 4.0 and are given in Mankiw, Romer and Weil (1992), except `literacy60` that is from the World Bank's World Development Report.

### Source

Journal of Applied Econometrics Data Archive.

http://qed.econ.queensu.ca/jae/1995-v10.4/durlauf-johnson/

### References

Durlauf, S.N., and Johnson, P.A. (1995). Multiple Regimes and Cross-Country Growth Behavior. Journal of Applied Econometrics, 10, 365–384.

Koenker, R., and Zeileis, A. (2009). On Reproducible Econometric Research. Journal of Applied Econometrics, 24(5), 833–847.

Mankiw, N.G, Romer, D., and Weil, D.N. (1992). A Contribution to the Empirics of Economic Growth. Quarterly Journal of Economics, 107, 407–437.

Masanjala, W.H., and Papageorgiou, C. (2004). The Solow Model with CES Technology: Nonlinearities and Parameter Heterogeneity. Journal of Applied Econometrics, 19, 171–201.

### See Also

`OECDGrowth`, `GrowthSW`

### Examples

    ## data for non-oil-producing countries
    data("GrowthDJ")
    dj <- subset(GrowthDJ, oil == "no")
    ## Different scalings have been used by different authors,
    ## different types of standard errors, etc.,
    ## see Koenker & Zeileis (2009) for an overview

    ## Durlauf & Johnson (1995), Table II
    mrw_model <- I(log(gdp85) - log(gdp60)) ~ log(gdp60) +
      log(invest/100) + log(popgrowth/100 + 0.05) + log(school/100)
    dj_mrw <- lm(mrw_model, data = dj)
    coeftest(dj_mrw)

    dj_model <- I(log(gdp85) - log(gdp60)) ~ log(gdp60) +
      log(invest) + log(popgrowth/100 + 0.05) + log(school)
    dj_sub1 <- lm(dj_model, data = dj, subset = gdp60 < 1800 & literacy60 < 50)
    coeftest(dj_sub1, vcov = sandwich)

    dj_sub2 <- lm(dj_model, data = dj, subset = gdp60 >= 1800 & literacy60 >= 50)
    coeftest(dj_sub2, vcov = sandwich)

[Package AER version 1.2-5 Index]