KEEP UP TO DATE

CONNECT  facebook youtube instagram twitter soundcloud
search advanced search
117 items found

Modélisation

Methodological Briefs

2016     4 Mar 2016
Un modèle est une représentation verbale, graphique ou mathématique de relations sociales ou économiques. Les modèles fournissent un cadre simplifié en privilégiant les liens essentiels et en ignorant certains facteurs considérés comme moins importants. Les modèles mathématiques décrivent les relations sociales et économiques sous forme de notation algébrique. Les plus simples sont les modèles à équation unique.

AUTHOR(S)

Howard White; Shagun Sabarwal
LANGUAGES:

El ensayo controlado aleatorio es un método de evaluación de impacto en el que la población beneficiaria de la intervención del programa o la política y el grupo de control se eligen de manera aleatoria entre la población que cumple los criterios. Evalúa en qué medida se están alcanzando los impactos específicos planeados.

AUTHOR(S)

Howard White; Shagun Sabarwal; Thomas de Hoop
LANGUAGES:

L’essai contrôlé randomisé (ECR) est une méthode suivie dans le cadre de l’évaluation d’impact. À partir d’une population admissible, cette méthode permet de sélectionner de façon aléatoire le groupe expérimental qui bénéficiera d’une intervention programmatique ou politique et le groupe contrôle qui servira de point de comparaison. L’ECR permet d’évaluer dans quelle mesure les impacts escomptés sont obtenus.

AUTHOR(S)

Howard White; Shagun Sabarwal; Thomas de Hoop
LANGUAGES:

Among policymakers, a common perception surrounding the effects of cash transfer programmes, particularly unconditional programmes targeted to families with children, is that they will induce increased fertility. Yet results from an evaluation of the Zambian Child Grant Programme indicate there are no programme impacts on overall fertility. In addition, among young women under 25 years and among women who have access to family planning, fertility actually decreased and use of modern contraceptives increased.

AUTHOR(S)

Tia Palermo; Sudhanshu Handa; Amber Peterman; Leah Prencipe; David Seidenfeld
LANGUAGES:

Many of the coping strategies the rural poor use to cope with failed harvests and other negative income shocks, such as reducing food consumption, selling off productive assets, and pulling children out of school, can mire households in poverty traps – the self-reinforcing conditions that cause poverty to persist. This study investigates whether cash transfers enable households facing weather and other negative shocks to avoid coping strategies that lead to poverty traps.

AUTHOR(S)

Kathleen Lawlor; Sudhanshu Handa; David Seidenfeld; Zambia Cash Transfer Evaluation Team

This paper reports the impact on child schooling and work of the Government of Zambia’s Child Grant Programme (CGP), an unconditional cash transfer programme targeted to households with children aged under 3 years in three districts of the country. The impacts reported here lead to the conclusion that unconditional cash transfers in Africa have significant positive impacts on children’s human capital.

AUTHOR(S)

Sudhanshu Handa; Luisa Natali; David Seidenfeld; Gelson Tembo; Zambia Cash Transfer Evaluation Team
LANGUAGES:

This publication seeks to develop a research agenda on family support and parenting support globally. An integrated and life-course approach to children is taken, considering their situation and a range of outcomes for them at different stages of their growth and development. Part 2 consists of nine country case studies.

AUTHOR(S)

Mary Daly

CO-AUTHOR(S)

Zlata Bruckhauf; Jasmina Byrne; Ninoslava Pecnik; Maureen Samms-Vaughan; Rachel Bray; Alice Margaria
LANGUAGES:

Indicators can be used at all levels of the results framework from inputs to impacts, and should be linked to the programme’s theory of change.

CO-AUTHOR(S)

Howard White; Shagun Sabarwal
LANGUAGES:

Modelling in impact evaluation uses mathematical models to infer causality from an intervention to an outcome, and/or between an outcome and its determinants.

CO-AUTHOR(S)

Howard White; Shagun Sabarwal
LANGUAGES:

Quasi-experimental research designs test causal hypotheses but by definition lack random assignment. They estimate impacts by comparing the results of an intervention group to a statistically constructed comparison group.

CO-AUTHOR(S)

Howard White; Shagun Sabarwal
LANGUAGES:

117 items found