Person:
Andres, Luis A.

Global Practice on Water
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Infrastructure economics
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Global Practice on Water
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Last updated January 31, 2023
Biography
Luis Andrés is Lead Economist in the Water Global Practice at the World Bank. Earlier, Dr. Andres held positions in the Sustainable Development Department for the Latin America and the Caribbean, and the South Asia Regions. His work at the World Bank involves both analytical and advisory services, with a focus on infrastructure, mainly in water and energy sectors, impact evaluations, private sector participation, regulation, and empirical microeconomics. He worked with numerous Latin American, South Asian, and East Europe governments. Before joining the World Bank, he was the Chief of Staff for the Secretary of Fiscal and Social Equity for the Government of Argentina and held other positions in the Chief of Cabinet of Ministries and the Ministry of Economy. He holds a Ph.D. in Economics from the University of Chicago and he has authored books, chapters in several books, monographs, and articles on development policy issues.

Publication Search Results

Now showing 1 - 4 of 4
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    Beyond Money: Does Migration Experience Transfer Gender Norms? Empirical Evidence from Kerala, India
    (Washington, DC: World Bank, 2022-03-14) Joseph, George ; Wang, Qiao ; Chellaraj, Gnanaraj ; Tas, Emcet Oktay ; Andres, Luis Alberto ; Javaid, Syed Usman ; Rajan, Irudaya
    This paper examines the impact of return migration from Saudi Arabia and the Gulf on the transfer of gender norms to the Indian state of Kerala. Migration to countries in the Middle East has led to significant remittance flows and economic prosperity, although the effects on social norms and attitudes remain largely unexplored. The paper finds that returning migrants from Saudi Arabia tend to exhibit conservative values regarding gender-based violence and extreme attitudes pertaining to the perpetration of physical violence against women. Compared with those who have no migration experience, the attitudes of returning migrants from Saudi Arabia toward gender-based violence were more conservative by three standard deviations, while the attitudes of those returning from the Gulf were less conservative by 0.5 standard deviation. Similarly, compared with those with no migration experience, returning migrants from Saudi Arabia were more conservative by 2.6 standard deviations regarding extreme attitudes related to gender norms, such as sexual assault, while those returning from the Gulf were less conservative by 0.7 standard deviation. These results show that migration experience can have a substantial impact on the gender attitudes of returning migrants, with potential implications for migration and gender policies in Kerala and for countries that send a large share of temporary migrants overseas for work.
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    Doing More with Less: Smarter Subsidies for Water Supply and Sanitation
    (World Bank, Washington, DC, 2019-08-28) Andres, Luis A. ; Thibert, Michael ; Lombana Cordoba, Camilo ; Danilenko, Alexander V. ; Joseph, George ; Borja-Vega, Christian
    This report explores how scarce public resources can be used most effectively to achieve universal delivery of water supply and sanitation services. It analyzes the prevalence and performance of subsidies in the sector, then guide policymakers on improving subsidy design and implementation to improve their efficacy and efficiency in attaining their objectives.
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    Precarious Drop: Reassessing Patterns of Female Labor Force Participation in India
    (World Bank, Washington, DC, 2017-04) Andres, Luis A. ; Dasgupta, Basab ; Joseph, George ; Abraham, Vinoj ; Correia, Maria
    This paper uses successive rounds of National Sample Survey Organization data from 1993-94 to 2011-12, and draws from census data. This paper (i) provides a description of nearly two decades of patterns and trends in female labor force participation in India; (ii) estimates the extent of the recent decline in female labor force participation; and (iii) examines and assesses the contribution of various demographic and socioeconomic factors in explaining the female labor force participation decision and the recent the drop. The analysis finds that female labor force participation dropped by 19.6 million women from 2004–05 to 2011–12. Participation declined by 11.4 percent, from 42.6 to 31.2 percent during 1993–94 to 2011–12. Approximately 53 percent of this drop occurred in rural India, among those ages 15 to 24 years. Factors such as educational attainment, socioeconomic status, and household composition largely contributed to the drop, although their effects were more pronounced in rural areas. Specifically, the analysis finds a U-shaped relationship between levels of educational attainment and female labor force participation. The decomposition of the contribution of these various determinants to the female labor force participation decision suggests that stability in family income, as indicated by the increasing share of regular wage earners and declining share of casual labor in the composition of family labor supply, has led female family members to choose dropping out of, rather than joining, the labor force. The findings of this paper suggest that conventional approaches to increasing female labor force participation (such as education and skills and legal provisions) will be insufficient. Policies should center on promoting the acceptability of female employment and investing in growing economic sectors that are more attractive for female employment.
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    Geo-Spatial Modeling of Access to Water and Sanitation in Nigeria
    (World Bank, Washington, DC, 2018-02) Andres, Luis A. ; Bhatt, Samir ; Dasgupta, Basab ; Echenique, Juan A. ; Gething, Peter W. ; Grabinsky Zabludovsky, Jonathan ; Joseph, George
    The paper presents the development and implementation of a geo-spatial model for mapping populations' access to specified types of water and sanitation services in Nigeria. The analysis uses geo-located, population-representative data from the National Water and Sanitation Survey 2015, along with relevant geo-spatial covariates. The model generates predictions for levels of access to seven indicators of water and sanitation services across Nigeria at a resolution of 1×1 square kilometers. The predictions promise to hone the targeting of policies meant to improve access to basic services in various regions of the country.