A5047540980- COVID-19 Pandemic Impacts
- Health and Lifestyle Studies
- Psychological Well-being and Life Satisfaction
- Child Nutrition and Water Access
- Income, Poverty, and Inequality
- Latin American rural development
- Agricultural and Food Production Studies
- Food Security and Health in Diverse Populations
- Economics of Agriculture and Food Markets
- Economic theories and models
- Global Trade and Competitiveness
- Climate change impacts on agriculture
- Agricultural Economics and Policy
- Innovation and Socioeconomic Development
- Wastewater Treatment and Reuse
- Regional Development and Innovation
- Agricultural risk and resilience
- Environmental and Cultural Studies in Latin America and Beyond
- Labor market dynamics and wage inequality
- COVID-19 impact on air quality
- Microfinance and Financial Inclusion
- Poverty, Education, and Child Welfare
- Economic Theory and Policy
- Fiscal Policy and Economic Growth
- Smart Materials for Construction
Ibero American University
2021-2024
Instituto de Investigaciones en Ciencias de la Salud
2019
Background Household food insecurity (HFI) increased in Latin America by 9% between 2019 and 2020. Scant evidence shows who was unable to recover from the COVID-19 pandemic. Our aim use a Machine Learning (ML) approach identify consistent influential predictors of persistent moderate or severe HFI over 2 years. Methods We three-wave longitudinal telephone survey with probabilistic sample representative Mexican population. With response rate 51.3 60.8% for second third waves, final size...
In this study, we explore how to use household expenditures and income surveys (HEIS) provide replicable comparable measures of nutrients availability at the population level. Our method formalizes common practice in literature consists three steps: identification relevant food categories, pairing contents groups HEIS data, calculation typical amount by group. We illustrate usage with Mexican data a publicly available set readily convert purchases into six nutrients: calories, proteins,...
Approaches to the estimation of shadow prices generally assume that all but one market function correctly. However, multiple failures are common in developing countries. We present a theoretical model and an empirical strategy estimate price subsistence good economy where labor markets fail. Our results show that: 1) among producers, this must be greater than or equal price, it for surplus growers; 2) current methods create biases when otherwise-perfect-markets assumption is violated. The...
Market failures are frequent in the rural sector of less developed countries, so, economic agents that face high transaction costs take their decisions based on implicit or shadow prices. Failing to consider this feature may generate, amongst others, misleading results for policy evaluation and recommendations. In paper we develop a theoretical agricultural household model considers market subsistence crop land labor markets. We apply estimate econometrically price households Mexico using...
This article analyzes the possible impacts of climate change (CC) and its adaptation measures on maize trade surplus/deficit, production, real income households established in rural Mexico. The analysis is based an Applied Microeconomic General Equilibrium Model estimates direct effects CC yields obtained from related literature. results show that will reduce by 6.23% affect corn production to extent area being a surplus deficit. In addition, it found while analyzed paper help negative...
We perform a systematic review of the literature on association between income, employment, and urban poverty from multidisciplinary perspective. Our results, derived analysis 243 articles, confirm significant role employment in poor's lives, highlighting several factors that constrain their ability to improve labour market outcomes: lack access public transport, geographical segregation, informality, among others. Furthermore, paper finds different strategies used by poor promote inclusion...