Burden of Disease Between Two Time Frames: Mexico Perspectives

Rodríguez-Abrego, Gabriela; Peña, Jorge Escobedo–de la; Garza, Ray; Ramírez-Sánchez, Teresita De J.

doi:10.1007/978-0-387-78665-0_29

Cited by 2 publications

(4 citation statements)

References 10 publications

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“…We use hospital discharge data to construct a measure of ACS conditions using the list provided by Rodriguez et al (2012), which has been used previously in the Latin American context.…”

Section: G Effect Of Rba On the Effectiveness Of Primary Carementioning

confidence: 99%

“…* p < 0.10, ** p < 0.05, *** p < 0.01. Notes: ACS are ambulatory care sensitive hospitalizations as defined in Rodriguez et al (2012) using the ICD-10 code for primary diagnosis in hospital discharges. Women and children ACS hospitalizations are defined as those discharges from the sex and age-group that are ACS according to their primary diagnosis and the broad list used in Rodriguez et al (2012).…”

Section: External Surveys In Households Expenditurementioning

confidence: 99%

“…Notes: ACS are ambulatory care sensitive hospitalizations as defined in Rodriguez et al (2012) using the ICD-10 code for primary diagnosis in hospital discharges. Women and children ACS hospitalizations are defined as those discharges from the sex and age-group that are ACS according to their primary diagnosis and the broad list used in Rodriguez et al (2012). This table reports the estimates of the treatment effect estimated from an OLS regressions of the dependent variable on the interaction of an indicator variable for RBA status with a binary indicator that equals one for the quarter in which the municipality enrolled 10% of its eligible population and after; equals zero for quarters before; and, (2) an indicator variable for Aid status, which works in the same manner as the previous variable.…”

Section: External Surveys In Households Expenditurementioning

confidence: 99%

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Is Results-Based Aid More Effective than Conventional Aid?: Evidence from the Health Sector in El Salvador

Bernal¹,

Martínez²,

Celhay³

2018

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work is licensed under a Creative Commons IGO 3.0 AttributionNonCommercial-NoDerivatives (CC-IGO BY-NC-ND 3.0 IGO) license (http://creativecommons.org/licenses/by-nc-nd/3.0/igo/ legalcode) and may be reproduced with attribution to the IDB and for any non-commercial purpose, as provided below. No derivative work is allowed.Any dispute related to the use of the works of the IDB that cannot be settled amicably shall be submitted to arbitration pursuant to the UNCITRAL rules. The use of the IDB's name for any purpose other than for attribution, and the use of IDB's logo shall be subject to a separate written license agreement between the IDB and the user and is not authorized as part of this CC-IGO license.Following a peer review process, and with previous written consent by the Inter-American Development Bank (IDB), a revised version of this work may also be reproduced in any academic journal, including those indexed by the American Economic Association's EconLit, provided that the IDB is credited and that the author(s) receive no income from the publication. Therefore, the restriction to receive income from such publication shall only extend to the publication's author(s). With regard to such restriction, in case of any inconsistency between the Creative Commons IGO 3.0 Attribution-NonCommercial-NoDerivatives license and these statements, the latter shall prevail.Note that link provided above includes additional terms and conditions of the license.The opinions expressed in this publication are those of the authors and do not necessarily reflect the views of the Inter-American Development Bank, its Board of Directors, or the countries they represent. AbstractResults-based aid (RBA) models link funds to outcomes, rather than paying for inputs. Despite their theoretical appeal and recent adoption by donors and multilateral development banks, there is limited empirical evidence supporting this form of aid for national governments. We estimate the effects of a RBA model using a natural experiment in El Salvador, where the same community health intervention was implemented in 98 municipalities using one of three financing models. The Salud Mesoamerica Initiative funded fourteen municipalities with a RBA model that partially conditions funds on the attainment of externally measured maternal and child health targets. Fiftyfour municipalities funded inputs using conventional aid and thirty had national funds. Using a difference-in-difference approach and national health systems data we find that preventive health services increased by 19.8% in conventional aid municipalities and by 42% in RBA municipalities compared to national funds, suggesting that the results-based conditionality roughly doubled aid effectiveness. Effects are driven by increases in maternal and child preventive services incentivized by the RBA model. Rather than diverting resources from other populations, we find that the expansion of health services under RBA also benefited men and the elderly, not explicitly incentivized by the results model. While d...

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“…We use hospital discharge data to construct a measure of ACS conditions using the list provided by Rodriguez et al (2012), which has been used previously in the Latin American context.…”

Section: G Effect Of Rba On the Effectiveness Of Primary Carementioning

confidence: 99%

Section: External Surveys In Households Expenditurementioning

confidence: 99%

Section: External Surveys In Households Expenditurementioning

confidence: 99%

See 1 more Smart Citation

Is Results-Based Aid More Effective than Conventional Aid?: Evidence from the Health Sector in El Salvador

Bernal¹,

Martínez²,

Celhay³

2018

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“…Beyond the temperate center, warm areas in the north and the south were less conducive to growing crops (Guerrero Compean 2013). For example, when Fogel (1989: 318) evaluated the warm areas of north Mexico he said that “the arid lands acquired from Mexico were unsuitable for cotton and of dubious value for other crops.” Warm areas in the south were also more prone to dengue fever and malaria (Rodriguez-Abrego et al 2010). However, the negative relationship disappeared temporarily after the Revolution and the Cristero War, a period that was followed by the development of the welfare system, expansion of trade, and 40 years of sustained economic growth.…”

Section: Climate Effects On Staturementioning

confidence: 99%

Climate Effects and Stature since 1800

Galofré-Vilà¹,

Guntupalli²,

Harris³

et al. 2018

Soc. sci. hist.

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During the last 30 years, economic and social historians have collected and analyzed large amounts of anthropometric data to explore key aspects of the human past. Attention has also been devoted to the examination of factors that can exert an influence on stature. This article outlines the different ways in which climate might influence stature, either directly or indirectly. It then uses geographical information system software to explore the relationship between variations in temperature and precipitation and the average heights of men in France, India, Mexico, Spain, and the United States over the last two centuries. It is possible to observe an influence of climate on stature in some countries, especially during the nineteenth century, but the relationship weakens across time and largely disappears in recent decades. The attenuation of this relationship is attributed to a process of “technophysio evolution” as countries modernized and developed economically.

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Burden of Disease Between Two Time Frames: Mexico Perspectives

Cited by 2 publications

References 10 publications

Is Results-Based Aid More Effective than Conventional Aid?: Evidence from the Health Sector in El Salvador

Is Results-Based Aid More Effective than Conventional Aid?: Evidence from the Health Sector in El Salvador

Climate Effects and Stature since 1800

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