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The impact of inequality on the informal economy in Latin America and Caribbean with a MIMIC model
by
Takanohashi, Marcos
, Ribeiro, Marcel
, Schneider, Friedrich
in
Comparative studies
/ Data
/ Datasets
/ Economic theory
/ Estimates
/ GDP
/ Gross Domestic Product
/ Income inequality
/ Informal economy
/ Measurement
/ Productivity
/ Statistical significance
/ Taxation
/ Variables
2025
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The impact of inequality on the informal economy in Latin America and Caribbean with a MIMIC model
by
Takanohashi, Marcos
, Ribeiro, Marcel
, Schneider, Friedrich
in
Comparative studies
/ Data
/ Datasets
/ Economic theory
/ Estimates
/ GDP
/ Gross Domestic Product
/ Income inequality
/ Informal economy
/ Measurement
/ Productivity
/ Statistical significance
/ Taxation
/ Variables
2025
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Do you wish to request the book?
The impact of inequality on the informal economy in Latin America and Caribbean with a MIMIC model
by
Takanohashi, Marcos
, Ribeiro, Marcel
, Schneider, Friedrich
in
Comparative studies
/ Data
/ Datasets
/ Economic theory
/ Estimates
/ GDP
/ Gross Domestic Product
/ Income inequality
/ Informal economy
/ Measurement
/ Productivity
/ Statistical significance
/ Taxation
/ Variables
2025
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The impact of inequality on the informal economy in Latin America and Caribbean with a MIMIC model
Journal Article
The impact of inequality on the informal economy in Latin America and Caribbean with a MIMIC model
2025
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Overview
Informality is a major issue in Latin America and the Caribbean (LAC). The literature estimating its size has been primarily limited to worldwide models applied to the region. This paper proposes a Multiple Indicators Multiple Causes (MIMIC) model using a data set composed of 41 countries in LAC. The model introduces income inequality and total factor productivity in addition to traditional variables. The results indicate that income inequality is a key determinant of IE, both in terms of statistical significance and measurement. Compared to a model using data from 188 countries, some causal variables have an impact ten times greater on the level of informality, highlighting the importance of tailor-made data set selection when modeling IE with MIMIC.
Publisher
Springer Nature B.V
Subject
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