Open Access
With contributions from
Terence Roopnaraine,Natalia Smith,Elif Altinok,Sema Cemal,Wahid Quabili,Tugba Atalar,Ozlem Agaoglu,Selahattin Erhan +7 more
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The article was published on 2007-01-01 and is currently open access. It has received 742 citations till now.read more
Citations
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Random matrix application to correlations amongst the volatility of assets
Ajay Singh,Dinghai Xu +1 more
TL;DR: In this article, the authors apply tools from random matrix theory (RMT) to estimates of correlations across the volatility of various assets in the S&P 500, where the volatility inputs are estimated by modelling price fluctuations as a GARCH(1,1) process.
Dissertation
Grassroots Social Action and the National Museum of the American Indian
TL;DR: In this paper, a case study of the grassroots social action of Native Americans that uses Charles Vert Willie's theory of social action to illuminate how and why Native Americans were successful in fulfilling the goal to reform museum practice through the enactment of federal law is presented.
Journal ArticleDOI
Geospatial landscape permeability modeling for archaeology: A case study of food storage in northern Michigan
TL;DR: In this article, a case study is presented that uses a resistant-kernel permeability model to examine food storage suitability in an inland lake landscape in northern Michigan during Late Precontact (ca. AD 1100/1200-1600) and how people in their intimate, day-to-day, encounters with this landscape understood the storage potential(s) of this matrix.
Vascular flora of the ancient olive groves of Apulia (southern Italy)
TL;DR: In this article, the topography of the collecting site, plant community, population density and relationships with the habi tats are recorded, according to Directive 92/43/EEC.
Journal ArticleDOI
Improving confidence in complex ecosystem models: The sensitivity analysis of an Atlantis ecosystem model
TL;DR: In this paper, the authors present the results of a sensitivity analysis of growth, mortality, and recruitment parameters, which are parameters particularly difficult to measure and thus commonly tuned through model calibration.
References
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Journal ArticleDOI
Impact Evaluation of a Conditional Cash Transfer Program: The Nicaraguan Red de Proteccion Social
John A. Maluccio,Rafael Flores +1 more
TL;DR: The impact evaluation of a conditional cash transfer program was performed by the Nicaraguan Red de Proteccion Social (RPS) as discussed by the authors, which evaluated the effectiveness of the program.
Journal ArticleDOI
The Case for Randomized Field Trials in Economic and Policy Research
TL;DR: The advantages and disadvantages of experiments in comparison with other research techniques are examined and the circumstances where randomized trials should be preferred over other methods are described.
Posted ContentDOI
An evaluation of the impact of progresa on pre-school child height
Jere R. Behrman,John Hoddinott +1 more
TL;DR: One of the major components of the PROGRESA program has been directed toward improving the nutritional status of small children in poor rural communities in Mexico as mentioned in this paper, which has been shown to have a substantial effect on lifetime productivities and earnings of currently small children.
Posted ContentDOI
Progressing through progresa: an impact assessment of a school subsidy experiment
TL;DR: The authors used a Markov schooling transition model applied to the experimental data to assess the impact of the educational subsidy program along several dimensions, including effects on initial ages of school entry, dropout rates, grade repetition rates, and school reentry rates.
Posted Content
A New Approach to Social Assistance: Latin America’s Experience with Conditional Cash Transfer Programs
TL;DR: Conditional cash transfer as discussed by the authors is a departure from more traditional approaches to social assistance, that represents an innovative, and increasingly popular channel for the delivery of social services that represents a demand-side complement to the supply of health, and education services.