Sources of Income Persistence: Evidence from Rural El Salvador
This article uses a unique panel data set of rural El Salvador to investigate the main sources of persistence and variability in incomes. Our econometric framework validly reduces a general panel model to a dynamic linear model with a covariance structure that can be estimated efficiently with short...
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okr-10986-49572021-04-23T14:02:20Z Sources of Income Persistence: Evidence from Rural El Salvador Sosa-Escudero, Walter Marchionni, Mariana Arias, Omar Personal Income, Wealth, and Their Distributions D310 Intertemporal Consumer Choice Life Cycle Models and Saving D910 Measurement and Analysis of Poverty I320 Economic Development: Human Resources Human Development Income Distribution Migration O150 This article uses a unique panel data set of rural El Salvador to investigate the main sources of persistence and variability in incomes. Our econometric framework validly reduces a general panel model to a dynamic linear model with a covariance structure that can be estimated efficiently with short panels. We find that life-cycle incomes are largely explained by the productive characteristics of families, such as education and access to public goods, and unobserved heterogeneity. Pure state dependence, arising from income shocks persistency, is of second order. In El Salvador, frequent transitory shocks are a more important source of income variation than in developed countries. 2012-03-30T07:30:34Z 2012-03-30T07:30:34Z 2011 Journal Article Journal of Income Distribution 09266437 http://hdl.handle.net/10986/4957 EN http://creativecommons.org/licenses/by-nc-nd/3.0/igo World Bank Journal Article El Salvador |
repository_type |
Digital Repository |
institution_category |
Foreign Institution |
institution |
Digital Repositories |
building |
World Bank Open Knowledge Repository |
collection |
World Bank |
language |
EN |
topic |
Personal Income, Wealth, and Their Distributions D310 Intertemporal Consumer Choice Life Cycle Models and Saving D910 Measurement and Analysis of Poverty I320 Economic Development: Human Resources Human Development Income Distribution Migration O150 |
spellingShingle |
Personal Income, Wealth, and Their Distributions D310 Intertemporal Consumer Choice Life Cycle Models and Saving D910 Measurement and Analysis of Poverty I320 Economic Development: Human Resources Human Development Income Distribution Migration O150 Sosa-Escudero, Walter Marchionni, Mariana Arias, Omar Sources of Income Persistence: Evidence from Rural El Salvador |
geographic_facet |
El Salvador |
relation |
http://creativecommons.org/licenses/by-nc-nd/3.0/igo |
description |
This article uses a unique panel data set of rural El Salvador to investigate the main sources of persistence and variability in incomes. Our econometric framework validly reduces a general panel model to a dynamic linear model with a covariance structure that can be estimated efficiently with short panels. We find that life-cycle incomes are largely explained by the productive characteristics of families, such as education and access to public goods, and unobserved heterogeneity. Pure state dependence, arising from income shocks persistency, is of second order. In El Salvador, frequent transitory shocks are a more important source of income variation than in developed countries. |
format |
Journal Article |
author |
Sosa-Escudero, Walter Marchionni, Mariana Arias, Omar |
author_facet |
Sosa-Escudero, Walter Marchionni, Mariana Arias, Omar |
author_sort |
Sosa-Escudero, Walter |
title |
Sources of Income Persistence: Evidence from Rural El Salvador |
title_short |
Sources of Income Persistence: Evidence from Rural El Salvador |
title_full |
Sources of Income Persistence: Evidence from Rural El Salvador |
title_fullStr |
Sources of Income Persistence: Evidence from Rural El Salvador |
title_full_unstemmed |
Sources of Income Persistence: Evidence from Rural El Salvador |
title_sort |
sources of income persistence: evidence from rural el salvador |
publishDate |
2012 |
url |
http://hdl.handle.net/10986/4957 |
_version_ |
1764393388259409920 |