Секция
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Экономика
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following factors (parameters) will be used to construct the regression
model:
1) Our explained (response) variable Y is the number representing
the working population (employed) in the country.
Assumption: For the sake of this observation, we consider the
time span of 2000 – 2019, or twenty years. We access the data on this
parameter via the National Committee of Statistics of Kazakhstan
(BNCRK, 2020).
2) Gross Foreign Investments in Kazakhstan in the period from 2000
to 2019.
Assumption: From the analytical part, it was found that the infl ow
of foreign capital allows local businesses to grow and provide means to
create new industrial facilities, which is associated with the increase of
job opportunities (The World Bank, 2019, p. 6).
3) Annual value of the net migration of population from 2000 to
2019.
Assumption: From the analytical section it was found that that the
negative migration balance should reduce the potential growth of the
workforce in Kazakhstan.
4) The average monthly salary taken in USD, in the range from 2000
– 2019.
Assumption: According to B orjas (2016, p. 68), on an unrestricted
labor market, there is a tendency that the higher wages are associated
with the higher number of people that are willing to enter labor market.
5) Annual volume of retail trade (sales) taken in USD in the period
from 2000 to 2019
Assumption: According to the methodology by the World Bank
(2019), the annual fi gures on retail trade (sales) can provide the growth
measures for the labor market of a country.
6) The annual volume of export trade in USD millions (2000 – 2019).
Assumption: Since the new employment opportunities are linked
to the economic growth, the growing amount of exported goods and
services has a positive correlation with the new jobs.
Now, let’s build the regression model using the parameters described
above. The equation for the multiple linear regression is as follows:
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