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When Life Gives You Lemons: Using Cross-Sectional Surveys to Identify Chronic Poverty in the Absence of Panel Data

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When Life Gives You Lemons: Using Cross-Sectional Surveys to Identify Chronic Poverty in the Absence of Panel Data. / Bolch, Kimberly; López-Calva, Luis F.; Ortiz Juarez, Eduardo.

In: REVIEW OF INCOME AND WEALTH, 10.01.2022.

Research output: Contribution to journalArticlepeer-review

Harvard

Bolch, K, López-Calva, LF & Ortiz Juarez, E 2022, 'When Life Gives You Lemons: Using Cross-Sectional Surveys to Identify Chronic Poverty in the Absence of Panel Data', REVIEW OF INCOME AND WEALTH. https://doi.org/10.1111/roiw.12566

APA

Bolch, K., López-Calva, L. F., & Ortiz Juarez, E. (2022). When Life Gives You Lemons: Using Cross-Sectional Surveys to Identify Chronic Poverty in the Absence of Panel Data. REVIEW OF INCOME AND WEALTH. https://doi.org/10.1111/roiw.12566

Vancouver

Bolch K, López-Calva LF, Ortiz Juarez E. When Life Gives You Lemons: Using Cross-Sectional Surveys to Identify Chronic Poverty in the Absence of Panel Data. REVIEW OF INCOME AND WEALTH. 2022 Jan 10. https://doi.org/10.1111/roiw.12566

Author

Bolch, Kimberly ; López-Calva, Luis F. ; Ortiz Juarez, Eduardo. / When Life Gives You Lemons: Using Cross-Sectional Surveys to Identify Chronic Poverty in the Absence of Panel Data. In: REVIEW OF INCOME AND WEALTH. 2022.

Bibtex Download

@article{9b2dc2ff7f75424e8f9340df21d68d71,
title = "When Life Gives You Lemons: Using Cross-Sectional Surveys to Identify Chronic Poverty in the Absence of Panel Data",
abstract = "At the core of poverty eradication is the need to eliminate that poverty that is persistent over time (chronic poverty). Unfortunately, traditional approaches to identifying chronic poverty require longitudinal data that is rarely available. In its absence, this paper proposes an alternative approach that only requires 1 year of cross-sectional data on monetary and non-monetary poverty. It puts forth two conjectures and contends that the combined profile of a household as both income poor and multidimensionally poor can be used as a proxy of that household being chronically income poor. To explore the viability of this approach, we use a probit model and longitudinal data for three Latin American countries to estimate households{\textquoteright} probabilities of remaining in income poverty based on their past income and multidimensional poverty statuses. We find empirical support for the approach that is significant, consistent across countries, and robust to various controls and periods of analysis.",
author = "Kimberly Bolch and L{\'o}pez-Calva, {Luis F.} and {Ortiz Juarez}, Eduardo",
year = "2022",
month = jan,
day = "10",
doi = "10.1111/roiw.12566",
language = "English",
journal = "REVIEW OF INCOME AND WEALTH",
issn = "0034-6586",
publisher = "Wiley-Blackwell",

}

RIS (suitable for import to EndNote) Download

TY - JOUR

T1 - When Life Gives You Lemons: Using Cross-Sectional Surveys to Identify Chronic Poverty in the Absence of Panel Data

AU - Bolch, Kimberly

AU - López-Calva, Luis F.

AU - Ortiz Juarez, Eduardo

PY - 2022/1/10

Y1 - 2022/1/10

N2 - At the core of poverty eradication is the need to eliminate that poverty that is persistent over time (chronic poverty). Unfortunately, traditional approaches to identifying chronic poverty require longitudinal data that is rarely available. In its absence, this paper proposes an alternative approach that only requires 1 year of cross-sectional data on monetary and non-monetary poverty. It puts forth two conjectures and contends that the combined profile of a household as both income poor and multidimensionally poor can be used as a proxy of that household being chronically income poor. To explore the viability of this approach, we use a probit model and longitudinal data for three Latin American countries to estimate households’ probabilities of remaining in income poverty based on their past income and multidimensional poverty statuses. We find empirical support for the approach that is significant, consistent across countries, and robust to various controls and periods of analysis.

AB - At the core of poverty eradication is the need to eliminate that poverty that is persistent over time (chronic poverty). Unfortunately, traditional approaches to identifying chronic poverty require longitudinal data that is rarely available. In its absence, this paper proposes an alternative approach that only requires 1 year of cross-sectional data on monetary and non-monetary poverty. It puts forth two conjectures and contends that the combined profile of a household as both income poor and multidimensionally poor can be used as a proxy of that household being chronically income poor. To explore the viability of this approach, we use a probit model and longitudinal data for three Latin American countries to estimate households’ probabilities of remaining in income poverty based on their past income and multidimensional poverty statuses. We find empirical support for the approach that is significant, consistent across countries, and robust to various controls and periods of analysis.

UR - http://www.scopus.com/inward/record.url?scp=85122656777&partnerID=8YFLogxK

U2 - 10.1111/roiw.12566

DO - 10.1111/roiw.12566

M3 - Article

JO - REVIEW OF INCOME AND WEALTH

JF - REVIEW OF INCOME AND WEALTH

SN - 0034-6586

ER -

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