FIRST MARRIAGE AND REMARRiAGE RATES
o The first marriage rates measure the intensity of the transition from the
never married rate to the married state.
0 It can be defined similarly as above, with only first marriages are included
in the numerator.
MARRIAGE AND THE CURRENT STATUS DATA
0 Each marriage rate we discussed so far were based on conventional demo-
graphic data. Typically, the numerator is the number of event of interest
and the denominator is some estimate of the person year exposed to ris
THE LIFE TABLE
0 The life table is probably most widely used method of analysis in demog-
o The first life table appeared in John Graunts work based on the bills of
mortality in London.
a However, the credit of producing a more mathematically rig
WHAT IS DEMOGRAPHY?
o The word demography literally means description of people. It was
first used by a Belgian statistician Achille Guilard in 1855.
c There are various definitions of demography.
o In short demography is the study of population process
VARIOUS TYPES OF GROWTH
o A growth can be of many types:
1. Arithmetic growth: A population growing arithmetically would in
crease by a constant number in each period. Does not happen in
demographic problems. Historically it is assumed that world food
o The word mortality relates with the event of death.
a Rates and probabilities measuring mortality describes the nature of nat
ural decrease in the population.
0 The crude and age specific mortality rates are regularly calculated for
RELATION BETWEEN CAUSE SPECIFIC DEPENDENT AND INDEPENDENT
0 Recall that 1qu is the dependent qtype mortality due to the ith cause
between the ages a: and a: + 1.
0 We denote the corresponding independent mortality rate as g;
0 An approximate e
ABRIDGED LIFE TABLES
o The complete life tables for humans are very long and laborious to com-
0 They have around 120 rows. Even though they are very detailed, often
at least for demographic purposes such a detailed information is not
COMPARING MORTALITY EXPERIENCES
0 Mortality varies significantly with age, gender, occupation, marital status,
race, region etc. It is important that we try to measure how different
they are and what particular reason causes such differences.
o In order t