Porovnat metody

	Social Cost-Benefit Analysis for Development	Cash Transfer Evaluation
Obor	Development Studies	Development Studies
Rodina	Process / pipeline	Process / pipeline
Rok vzniku	1974	1997
Tvůrce	Ian Little & James Mirrlees (OECD/UNIDO appraisal traditions)	PROGRESA/Oportunidades (Mexico); Santiago Levy; World Bank evaluation programmes
Typ	Economic project appraisal method	Programme impact evaluation
Původní zdroj	Little, I. M. D., & Mirrlees, J. A. (1974). Project Appraisal and Planning for Developing Countries. London: Heinemann / New York: Basic Books. ISBN: 9780465064106	Fiszbein, A., & Schady, N. (2009). Conditional Cash Transfers: Reducing Present and Future Poverty. World Bank Policy Research Report. Washington, DC: World Bank. ISBN: 9780821373521
Další názvy	Social CBA, Economic Cost-Benefit Analysis, Project Economic Appraisal, Shadow-Price Cost-Benefit Analysis	CCT/UCT Impact Evaluation, Conditional Cash Transfer Evaluation, Cash Transfer Impact Assessment, Social Cash Transfer Evaluation
Příbuzné	4	4
Shrnutí	Social cost-benefit analysis (social CBA) is the economic appraisal of development projects from the standpoint of society as a whole rather than the private investor. It values every input and output at its shadow (economic) price — the true opportunity cost or social worth, which in distorted developing-country markets diverges from observed market prices — then discounts the resulting net benefit stream at a social discount rate to compute an economic net present value (ENPV) and economic internal rate of return (EIRR). The method was systematised for developing countries by Ian Little and James Mirrlees and by the parallel UNIDO guidelines.	Cash transfer evaluation is the body of impact-evaluation practice used to measure the effects of giving money directly to poor households — conditional on behaviours such as school enrolment and clinic visits (CCTs) or unconditional (UCTs) — on consumption, schooling, nutrition, health, and broader welfare. Pioneered by Mexico's PROGRESA/Oportunidades programme in the late 1990s, which built a randomised phase-in into its rollout, the field has produced some of the most influential causal evidence in development economics and now spans dozens of countries and hundreds of studies.