Publication:
A Vulnerability Approach to the Definition of the Middle Class

Loading...
Thumbnail Image
Files in English
English PDF (1.83 MB)
2,784 downloads
English Text (88.27 KB)
167 downloads
Published
2011-12-01
ISSN
Date
2012-03-19
Author(s)
Ortiz-Juarez, Eduardo
Editor(s)
Abstract
Measurement of the middle class has recently come to the center of policy debate in middle-income countries as they search for the potential engines of growth and good governance. This debate assumes, first, that there is a meaningful definition of class, and second, that thresholds that define relatively homogeneous groups in terms of pre-determined sociological characteristics can be found empirically. This paper aims at proposing a view of the middle class based on vulnerability to poverty. Following this approach the paper exploits panel data to determine the amount of comparable income -- associated with a low probability of falling into poverty -- which could define the lower bound of the middle class. The paper looks at absolute thresholds, challenging the view that people above the poverty line are actually part of the middle class. The estimated lower threshold is used in cross-section surveys to quantify the size and the evolution of middle classes in Chile, Mexico, and Peru over the past two decades. The first relevant feature relates to the fact that the proposed thresholds lie around the 60th percentile of the distribution. The evidence also shows that the middle class has increased significantly in all three countries, suggesting that a higher number of households face lower probabilities of falling into poverty than they did in the 1990s. There is an important group of people, however, which cannot be defined as middle class from this perspective, but are not eligible for poverty programs according to traditional definitions of poverty.
Link to Data Set
Citation
Ortiz-Juarez, Eduardo; Lopez-Calva, Luis F.. 2011. A Vulnerability Approach to the Definition of the Middle Class. Policy Research working paper ; no. WPS 5902. © World Bank. http://hdl.handle.net/10986/3669 License: CC BY 3.0 IGO.
Associated URLs
Associated content
Report Series
Report Series
Other publications in this report series
  • Publication
    The Economic Value of Weather Forecasts: A Quantitative Systematic Literature Review
    (Washington, DC: World Bank, 2025-09-10) Farkas, Hannah; Linsenmeier, Manuel; Talevi, Marta; Avner, Paolo; Jafino, Bramka Arga; Sidibe, Moussa
    This study systematically reviews the literature that quantifies the economic benefits of weather observations and forecasts in four weather-dependent economic sectors: agriculture, energy, transport, and disaster-risk management. The review covers 175 peer-reviewed journal articles and 15 policy reports. Findings show that the literature is concentrated in high-income countries and most studies use theoretical models, followed by observational and then experimental research designs. Forecast horizons studied, meteorological variables and services, and monetization techniques vary markedly by sector. Estimated benefits even within specific subsectors span several orders of magnitude and broad uncertainty ranges. An econometric meta-analysis suggests that theoretical studies and studies in richer countries tend to report significantly larger values. Barriers that hinder value realization are identified on both the provider and user sides, with inadequate relevance, weak dissemination, and limited ability to act recurring across sectors. Policy reports rely heavily on back-of-the-envelope or recursive benefit-transfer estimates, rather than on the methods and results of the peer-reviewed literature, revealing a science-to-policy gap. These findings suggest substantial socioeconomic potential of hydrometeorological services around the world, but also knowledge gaps that require more valuation studies focusing on low- and middle-income countries, addressing provider- and user-side barriers and employing rigorous empirical valuation methods to complement and validate theoretical models.
  • Publication
    Direct and Indirect Impacts of Transport Mobility on Access to Jobs: Evidence from South Africa
    (Washington, DC: World Bank, 2025-11-12) Iimi, Atsushi
    Access to jobs is essential for economic growth. In Africa, unemployment rates are notably high. This paper reexamines the relationship between transport mobility and labor market outcomes, with a particular focus on the direct and indirect effects of transport connectivity. As predicted by theory, wages are influenced by the level of commuting deterrence. Generally, higher earnings are associated with longer commute times and/or higher commuting costs. Local accessibility is also important, especially for individuals with time constraints. Both direct and indirect impacts are found to be significant in South Africa, where job accessibility has been challenging since the end of apartheid. For the direct impact, the wage elasticity associated with commuting costs is significant. Returns on commute are particularly high for women. Local accessibility to socioeconomic facilities, such as shops and health services, is also found to have a significant impact, consistent with the concept of mobility of care. To enhance employment, therefore, it is crucial to connect people not only to job locations but also to various socioeconomic points of interest, such as markets and hospitals, in an integrated manner. This integration will enable individuals to spend more time working and commuting longer distances.
  • Publication
    The Macroeconomic Implications of Climate Change Impacts and Adaptation Options
    (Washington, DC: World Bank, 2025-05-29) Abalo, Kodzovi; Boehlert, Brent; Bui, Thanh; Burns, Andrew; Castillo, Diego; Chewpreecha, Unnada; Haider, Alexander; Hallegatte, Stephane; Jooste, Charl; McIsaac, Florent; Ruberl, Heather; Smet, Kim; Strzepek, Ken
    Estimating the macroeconomic implications of climate change impacts and adaptation options is a topic of intense research. This paper presents a framework in the World Bank's macrostructural model to assess climate-related damages. This approach has been used in many Country Climate and Development Reports, a World Bank diagnostic that identifies priorities to ensure continued development in spite of climate change and climate policy objectives. The methodology captures a set of impact channels through which climate change affects the economy by (1) connecting a set of biophysical models to the macroeconomic model and (2) exploring a set of development and climate scenarios. The paper summarizes the results for five countries, highlighting the sources and magnitudes of their vulnerability --- with estimated gross domestic product losses in 2050 exceeding 10 percent of gross domestic product in some countries and scenarios, although only a small set of impact channels is included. The paper also presents estimates of the macroeconomic gains from sector-level adaptation interventions, considering their upfront costs and avoided climate impacts and finding significant net gross domestic product gains from adaptation opportunities identified in the Country Climate and Development Reports. Finally, the paper discusses the limits of current modeling approaches, and their complementarity with empirical approaches based on historical data series. The integrated modeling approach proposed in this paper can inform policymakers as they make proactive decisions on climate change adaptation and resilience.
  • Publication
    From Policy to Practice: Lessons from the Implementation of the Refugee Work Rights Policy in Ethiopia
    (Washington, DC: World Bank, 2025-11-10) Perez, Ana Maria; Rozo, Sandra V.
    This paper examines the early implementation of Ethiopia’s refugee work rights policy, with a focus on the issuance of permits that enable refugees to engage in economic activities. Building on significant legal and institutional advances under the 2019 Refugee Proclamation and subsequent directives, the analysis explores how these reforms are being operationalized in practice. Using a mixed-methods approach, combining document review, administrative data analysis, and semi-structured interviews, the paper identifies both progress and remaining challenges. Permit issuance has increased since the adoption of detailed operational guidance in 2024, reflecting the Government of Ethiopia’s commitment to operationalizing its progressive legal framework and ensuring that refugees can exercise their right to work. However, take-up remains modest, with about 5.2 percent of the working-age population holding a permit. Preliminary evidence suggests that coordination gaps, limited subnational capacity, low awareness among refugees and employers, and disincentives to formalize in a largely informal labor market are contributing to the low take-up. The paper offers policy suggestions, grounded in the Ethiopian context and emerging evidence, to help translate legal commitments into improved labor market outcomes for refugees.
  • Publication
    Monitoring Global Aid Flows: A Novel Approach Using Large Language Models
    (Washington, DC: World Bank, 2025-11-04) Luo, Xubei; Rajasekaran, Arvind Balaji; Scruggs, Andrew Conner
    Effective monitoring of development aid is the foundation for assessing the alignment of flows with their intended development objectives. Existing reporting systems, such as the Organisation for Economic Co-operation and Development’s Creditor Reporting System, provide standardized classification of aid activities but have limitations when it comes to capturing new areas like climate change, digitalization, and other cross-cutting themes. This paper proposes a bottom-up, unsupervised machine learning framework that leverages textual descriptions of aid projects to generate highly granular activity clusters. Using the 2021 Creditor Reporting System data set of nearly 400,000 records, the model produces 841 clusters, which are then grouped into 80 subsectors. These clusters reveal 36 emerging aid areas not tracked in the current Creditor Reporting System taxonomy, allow unpacking of “multi-sectoral” and “sector not specified” classifications, and enable estimation of flows to new themes, including World Bank Global Challenge Programs, International Development Association–20 Special Themes, and Cross-Cutting Issues. Validation against both Creditor Reporting System benchmarks and International Development Association commitment data demonstrates robustness. This approach illustrates how machine learning and the new advances in large language models can enhance the monitoring of global aid flows and inform future improvements in aid classification and reporting. It offers a useful tool that can support more responsive and evidence-based decision-making, helping to better align resources with evolving development priorities.
Journal
Journal Volume
Journal Issue

Related items

Showing items related by metadata.

  • Publication
    Why Don’t We See Poverty Convergence?
    (2009-06-01) Ravallion, Martin
    We are not seeing faster progress against poverty amongst the poorest developing countries. Yet this is implied by widely accepted "stylized facts" about the development process. The paper tries to explain what is missing from those stylized facts. Consistently with models of economic growth incorporating borrowing constraints, the analysis of a new data set for 100 developing countries reveals an adverse effect on consumption growth of high initial poverty incidence at a given initial mean. A high incidence of poverty also entails a lower subsequent rate of progress against poverty at any given growth rate (and poor countries tend to experience less steep increases in poverty during recessions). Thus, for many poor countries, the growth advantage of starting out with a low mean ("conditional convergence") is lost due to their high poverty rates. The size of the middle class--measured by developing-country, not Western, standards--appears to be an important channel linking current poverty to subsequent growth and poverty reduction. However, high current inequality is only a handicap if it entails a high incidence of poverty relative to mean consumption.
  • Publication
    Living on the Edge : Vulnerability to Poverty and Public Transfers in Mexico
    (World Bank Group, Washington, DC, 2015-01) Ortiz-Juarez, Eduardo; de la Fuente, Alejandro; Rodriguez Castelan, Carlos
    Social policy in Mexico has focused on identifying and supporting chronically poor households. Yet, Mexico has a significant number of households that are just above the poverty line who are not eligible, by definition, for antipoverty programs and are at risk of falling back into poverty in the event of an economic crisis or shocks like loss of employment and natural disasters. These shocks can have serious negative effects on welfare in the absence of social safety nets targeted to these households. This study uses household survey data to better understand these "vulnerable" households, including their profile and risk exposure and, more importantly, to document the extent to which these households are covered by public transfers and insurance mechanisms. The analysis shows that until 2010 most social programs, including the few with productive components, such as vocational training and productive investment grants, barely covered the vulnerable. The study concludes that public policies need to pay attention to the vulnerable households and find the right policy mix between targeted interventions and universal insurance schemes to serve this economic group.
  • Publication
    A Counterfactual Analysis of the Poverty Impact of Economic Growth in Cameroon
    (2010-03-01) Bassole, Leandre; Essama-Nssah, B.
    The Government of Cameroon has declared poverty reduction through strong and sustainable economic growth the central objective of its socioeconomic policy. This paper uses available household survey data to assess the performance of the economy with respect to this objective over the period 1996-2007. The authors use counterfactual decompositions based on both the Shapley method and the generalized Oaxaca-Blinder framework to identify proximate factors that might explain differences in observed outcomes over time, across regions and households. The concept of pro-poorness provides a basis for a normative evaluation of these outcomes. The analysis of changes in the size distribution of economic welfare reveals that formal sector employment, access to credit, education, and urban residence are characteristics that bring significantly high returns to households. Employment in smallholder agriculture has a negative impact on welfare across quantiles. Economic growth was accompanied by significant poverty reduction between 1996 and 2001. But poverty barely decreased between 2001 and 2007 due to very weak growth. Over the same period, household investment in human capital took a serious hit. Given the additional finding that the pattern of growth is characterized by urban bias and regional disparity, the overall assessment is that economic growth has been weakly pro-poor in Cameroon. There is therefore a need to re-examine and possibly reform the mechanisms governing the allocation of public resources designed to support individuals' efforts to improve their standard of living.
  • Publication
    Rising Income Inequality in China : A Race to the Top
    (World Bank, Washington, DC, 2008-08) Luo, Xubei; Zhu, Nong
    Income inequality in China has risen rapidly in the past decades across regions, between rural and urban sectors, and within provinces. The dynamics of divergence across these sub-national areas have taken the form of a "race to the top" - meaning that all segments of the population, including the poor with low education in lagging inland rural areas, have experienced gains in average income. The largest gains have been registered by those with higher income and education in leading coastal urban areas. Using the China Economic, Population, Nutrition and Health Survey data of 1989 and 2004, we show that the most important factors explaining overall inequality are differential returns to schooling and sector of employment. A decomposition analysis based on household income determination shows that the increase in returns to education explains two-thirds of income changes in urban areas and one-sixth in rural areas. The widening income gaps are the consequence of higher growth in leading urban and coastal areas and that the skilled population has benefited more from the economic reforms carried out during the last 25 years. The authors argue that rising income inequality can be part of a normal process of development at a certain stage, and that the dynamics of spatial income divergence in the form of "a race to the top" can be desirable to some extent as it unleashes competitive pressure and creates incentives for investment in skills. Continuing to improve market efficiency and investing in people, in particular improving education service in lagging areas to poor people, are important for sustainable growth and equitable distribution in the long run.
  • Publication
    Economic Inequality in the Arab Region
    (World Bank, Washington, DC, 2014-06) Hassine, Nadia Belhaj
    The paper uses harmonized household survey micro-data to assess the levels and determinants of economic inequality in 12 Arab countries. It focuses on the sources of rural-urban, as well as metropolitan-nonmetropolitan, inequalities and applies the unconditional quantile regression decomposition technique to analyze the welfare gaps across the entire distribution. The analysis finds moderate inequality levels, with the Gini coefficient for the distribution of household real per capita total expenditures ranging between 30.7 in Libya and 45 in Mauritania. Differences in households' endowments, such as demographic composition, human capital, and community characteristics, appear as the main sources of the urban-rural welfare gap. There is inequality between metropolitan and non-metropolitan regions in many countries, mainly because of differences in returns to households' characteristics and particularly returns to human capital.

Users also downloaded

Showing related downloaded files

  • Publication
    Governance Matters VIII : Aggregate and Individual Governance Indicators 1996–2008
    (2009-06-01) Kaufmann, Daniel; Kraay, Aart; Mastruzzi, Massimo
    This paper reports on the 2009 update of the Worldwide Governance Indicators (WGI) research project, covering 212 countries and territories and measuring six dimensions of governance between 1996 and 2008: Voice and Accountability, Political Stability and Absence of Violence/Terrorism, Government Effectiveness, Regulatory Quality, Rule of Law, and Control of Corruption. These aggregate indicators are based on hundreds of specific and disaggregated individual variables measuring various dimensions of governance, taken from 35 data sources provided by 33 different organizations. The data reflect the views on governance of public sector, private sector and NGO experts, as well as thousands of citizen and firm survey respondents worldwide. The authors also explicitly report the margins of error accompanying each country estimate. These reflect the inherent difficulties in measuring governance using any kind of data. They find that even after taking margins of error into account, the WGI permit meaningful cross-country comparisons as well as monitoring progress over time. The aggregate indicators, together with the disaggregated underlying indicators, are available at www.govindicators.org.
  • Publication
    Design Thinking for Social Innovation
    (2010-07) Brown, Tim; Wyatt, Jocelyn
    Designers have traditionally focused on enchancing the look and functionality of products.
  • Publication
    Governance Matters IV : Governance Indicators for 1996-2004
    (World Bank, Washington, DC, 2005-06) Kaufmann, Daniel; Kraay, Aart; Mastruzzi, Massimo
    The authors present the latest update of their aggregate governance indicators, together with new analysis of several issues related to the use of these measures. The governance indicators measure the following six dimensions of governance: (1) voice and accountability; (2) political instability and violence; (3) government effectiveness; (4) regulatory quality; (5) rule of law, and (6) control of corruption. They cover 209 countries and territories for 1996, 1998, 2000, 2002, and 2004. They are based on several hundred individual variables measuring perceptions of governance, drawn from 37 separate data sources constructed by 31 organizations. The authors present estimates of the six dimensions of governance for each period, as well as margins of error capturing the range of likely values for each country. These margins of error are not unique to perceptions-based measures of governance, but are an important feature of all efforts to measure governance, including objective indicators. In fact, the authors give examples of how individual objective measures provide an incomplete picture of even the quite particular dimensions of governance that they are intended to measure. The authors also analyze in detail changes over time in their estimates of governance; provide a framework for assessing the statistical significance of changes in governance; and suggest a simple rule of thumb for identifying statistically significant changes in country governance over time. The ability to identify significant changes in governance over time is much higher for aggregate indicators than for any individual indicator. While the authors find that the quality of governance in a number of countries has changed significantly (in both directions), they also provide evidence suggesting that there are no trends, for better or worse, in global averages of governance. Finally, they interpret the strong observed correlation between income and governance, and argue against recent efforts to apply a discount to governance performance in low-income countries.
  • Publication
    Measuring Financial Inclusion : The Global Findex Database
    (World Bank, Washington, DC, 2012-04) Demirguc-Kunt, Asli; Klapper, Leora
    This paper provides the first analysis of the Global Financial Inclusion (Global Findex) Database, a new set of indicators that measure how adults in 148 economies save, borrow, make payments, and manage risk. The data show that 50 percent of adults worldwide have an account at a formal financial institution, though account penetration varies widely across regions, income groups and individual characteristics. In addition, 22 percent of adults report having saved at a formal financial institution in the past 12 months, and 9 percent report having taken out a new loan from a bank, credit union or microfinance institution in the past year. Although half of adults around the world remain unbanked, at least 35 percent of them report barriers to account use that might be addressed by public policy. Among the most commonly reported barriers are high cost, physical distance, and lack of proper documentation, though there are significant differences across regions and individual characteristics.
  • Publication
    Government Matters III : Governance Indicators for 1996-2002
    (World Bank, Washington, DC, 2003-08) Kaufmann, Daniel; Kraay, Aart; Mastruzzi, Massimo
    The authors present estimates of six dimensions of governance covering 199 countries and territories for four time periods: 1996, 1998, 2000, and 2002. These indicators are based on several hundred individual variables measuring perceptions of governance, drawn from 25 separate data sources constructed by 18 different organizations. The authors assign these individual measures of governance to categories capturing key dimensions of governance and use an unobserved components model to construct six aggregate governance indicators in each of the four periods. They present the point estimates of the dimensions of governance as well as the margins of errors for each country for the four periods. The governance indicators reported here are an update and expansion of previous research work on indicators initiated in 1998 (Kaufmann, Kraay, and Zoido-Lobat 1999a,b and 2002). The authors also address various methodological issues, including the interpretation and use of the data given the estimated margins of errors.