Data object containing two tables with ρ coefficients for the
Pattern Mortality Decline method as implemented in the
data(PMDrho) loads two objects into memory:
RhoMales. They both are data frames with 22 rows corresponding to age groups,
and 17 columns corresponding to different levels of life expectancy in 5-years intervals
(from 50 to 135). The names of the columns reflect the middle of the respective interval.
Andreev, K. Gu, D., Gerland, P. (2013). Age Patterns of Mortality Improvement by Level of Life Expectancy at Birth with Applications to Mortality Projections. Paper presented at the Annual Meeting of the Population Association of America, New Orleans, LA. https://paa2013.princeton.edu/papers/132554.
Gu, D., Pelletier, F. and Sawyer, C. (2017). Projecting Age-sex-specific Mortality: A Comparison of the Modified Lee-Carter and Pattern of Mortality Decline Methods, UN Population Division, Technical Paper No. 6. New York: United Nations. https://population.un.org/wpp/Publications/Files/WPP2017_TechnicalPaperNo6.pdf
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data(PMDrho) head(RhoFemales) head(RhoMales) # plot a few male patterns e0lev <- colnames(RhoMales)[c(1, 5, 9, 13, 17)] plot(RhoMales[, e0lev], type="l", log="y", ylim=range(RhoMales[,e0lev]), ylab="male rho", xlab="Age") for(i in 2:length(e0lev)) lines(RhoMales[,e0lev[i]], lty = i) legend("bottomleft", legend = e0lev, lty = 1:length(e0lev), bty= "n")
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