Solve this using Double-Log Only: The file LIFEEXPECTANCY contains data for Life
ID: 1105427 • Letter: S
Question
Solve this using Double-Log Only:
The file LIFEEXPECTANCY contains data for Life Expectancy across 145 countries (average for the years 1960-2015) and It is shared at
Data File Link :https://drive.google.com/file/d/0BwrnNVBanbKXRWU5RWxNYTFNbGs/view?usp=sharing
The variables used in this file are described below:
Lifeexp - Life expectancy at birth, total (years)
Literacy - Adult literacy rate, population 15+ years, both sexes (%)
GDPpc - GDP per capita (constant 2010 US$)
Hosbed - Hospital beds (per 1000 people)
Sanit - Improved sanitation facilities (% of population with access)
Water - Improved water source (% of population with access)
Physician - Physicians (per 1000 people)
Question : Use these data to examine the determinants of the Life Expectancy at birth. In doing so, first present your preferred specification results, explaining why you prefer this specification over the other specifications you may have considered, and then proceed to explore the hypothesis in question using your preferred specification.
If you want to use anyother software , you can , please post the answer as soon as possible. Can you please provide me below details:
1. Which variables should I omit ?
2. Which model should I use to do the analysis?
Share stata ( commands and results) with the answer. Do not directly copy and paste the commands and results here. if possible.
Explanation / Answer
Life expectancy is defined as the average number of years a person lives in his life time, based on the year of his birth, his current age and other demographic factor i.e. his gender.
In fact. life expectancy at birth reflects the overall mortality level of the population. It summarizes the mortality pattern that prevails across all age groups - children, adolescents and the elderly. Again, it is sex specific. The mortality condition of male sex is different from the female sex.
Thus, in a given cohort, the mortality condition is most important in studying the life expe,ctancy. For any population, age and sex specific mortality rates are taken from the vital statistics. A life table separate for males and females are prepared with an assumption that the population of the cohort will be exhausted. Here, we find out the probability of dying in each age group. Thereafter, from the vital statistics the the last parameter ex is determined.
Some countries have correct data of population of different age groups. They have correct data of mortality at different age groups. This makes the formation of life table easier. But in case of poor countries, the data are not reliable or the data of mortality is fake. In such cases a statistical modelling is done considering the common parameters of similar and identical countries.
We should use WHO model of Life expectancy which is most appropriate in analysing the mortality variation of poor countries.
In answering the question, we should discard other six parameters of demography and concentrate on only one which is life expectancy. As already discussed, we should look into the mortality condition of each age group which we can get from the vital staistics of each country. To cut short we can start with the probability of dying in each age group and then find the number of survivors,
In the lifetable given in the file, represents the life table of total population of the US in 2003. We should look for separate table for males and females to compute their life expectancy separately.