Page 33 - Revista del Centro de Investigación y Desarrollo del INEI - Economía, Sociedad y Estadística N° 9

On the other hand, an aspect that has not been - Identify if these different emigration patterns have
addressed, in Peru or other countries, is the aging caused generated changes in the demographic composition
by migration. To the extent that it has long tended to of the senders districts. In particular, analyze
favor the migration of young people, who seek better whether there has been an accelerated aging process
opportunities through study and work. Thus, it is adults, (concerning the rest of the country).
and more importantly, older adults who have chosen
to stay in the rural areas of origin. This phenomenon Hypothesis 1: The district migration dynamics has
could further damage the vulnerable situation in which identifiable patterns.
an important part of older adults is found.
Hypothesis 2: These patterns are related to geographical
In summary, what are the patterns of internal migration features and local policies.
in Peru during the last 40 years? Have they changed over
time or remain constant? Is this migration from rural Hypothesis 3: The patterns of emigration and
areas to urban areas concentrated? What geographic, immigration have generated accelerated aging in the
political, or social variables (among others) influence population.
more / less immigration and emigration? Are these
migratory patterns causing major demographic changes
in immigration or emigration zones?

The present study seeks to give initial evidence on all
these questions by combining the information from
the microdata of the last four population censuses of The main objective of the
1981, 1993, 2007 and 2017.
research is to give evidence on
the dynamics of migration in
districts of Peru since 1981 and
how emigration is correlated with
2. OBJECTIVES AND HYPOTHESES
geographical and institutional

The main objective of the research is to give evidence factors.
on the dynamics of migration in districts of Peru since
1981 and how emigration is correlated with geographical
and institutional factors.

Specific objectives:

- Create a database with the emigration rate of the
district population in 1981, 1993, 2007, and 2017 in
which it is possible to analyze the migration patterns
of the last 40 years.

- Build a typology with these migratory patterns, for
example, by identifying those districts that changed
their role from “sender” to “receiver” and vice
versa, and those districts that always maintained
the same role.

- Explore using multivariate statistical methods in
which variables are more correlated with more
significant emigration and immigration, as well as
in the different types proposed in the typology.

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