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In the following two sections, we analyze, with a higher degree of disaggregation, whether the above mentioned changes in occupations could be understood in a polarization framework.
This question is relevant because one might want to use the observed changes in occupations over time to shed some light on the evolution of the demand for labour in the near future.
However, the polarisation of wages does not seem to be common in Spain, as there is no evidence that changes in pay followed the same pattern as changes in occupations.
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Using cross-sectional occupational data over time can present a challenge because of changes in occupation classifications.
These changes in occupation history appear to have resulted from political developments within the valley.
29% showed no changes in occupation over the 10-year period and were classified as "fixed careers".
These processes increasingly lead to discontinuous employment histories characterised by changes in occupation, precarious employment and periods out of work [18, 29].
These authors model individual occupation decisions and changes in occupation over time, taking account of individual characteristics such as wealth and wealth constraints, education levels, family background, prior work experience, preferences for independent work, and so on.
The unit of observation in the source data records the starting and ending date for any change in the individual's labour market status or job characteristics (including changes in occupation or remuneration within the same firm).
To test for this, we can decompose the observed changes in occupation shares into those which could be explained by changes in the sectoral structure of the Spanish economy (changes between sectors) and those changes which occurred within each of the sectors.
Whereas others, such as Ibbetson, considered caste to be best defined as based on occupation, he believed that changes in occupation within a community led to another instance of endogamy "being held by a sort of unconscious fiction to be equivalent to the difference of race, which is the true basis of the system".
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com