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Relevant bibliographies by topics / Random allocation

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Academic literature on the topic 'Random allocation'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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Journal articles on the topic "Random allocation"

1

Akbarpour, Mohammad, and Afshin Nikzad. "Approximate Random Allocation Mechanisms." Review of Economic Studies 87, no. 6 (2020): 2473–510. http://dx.doi.org/10.1093/restud/rdz066.

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Abstract We generalize the scope of random allocation mechanisms, in which the mechanism first identifies a feasible “expected allocation” and then implements it by randomizing over nearby feasible integer allocations. The previous literature has shown that the cases in which this is possible are sharply limited. We show that if some of the feasibility constraints can be treated as goals rather than hard constraints, then, subject to weak conditions that we identify, any expected allocation that satisfies all the constraints and goals can be implemented by randomizing among nearby integer allo

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Budish, Eric, Yeon-Koo Che, Fuhito Kojima, and Paul Milgrom. "Designing Random Allocation Mechanisms: Theory and Applications." American Economic Review 103, no. 2 (2013): 585–623. http://dx.doi.org/10.1257/aer.103.2.585.

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Randomization is commonplace in everyday resource allocation. We generalize the theory of randomized assignment to accommodate multi-unit allocations and various real-world constraints, such as group-specific quotas (“controlled choice”) in school choice and house allocation, and scheduling and curriculum constraints in course allocation. We develop new mechanisms that are ex ante efficient and fair in these environments, and that incorporate certain non-additive substitutable preferences. We also develop a “utility guarantee” technique that limits ex post unfairness in random allocations, sup

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Sedgwick, P. "Random sampling versus random allocation." BMJ 343, no. 23 2 (2011): d7453. http://dx.doi.org/10.1136/bmj.d7453.

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Sedgwick, P. "Stratified random allocation." BMJ 346, feb08 1 (2013): f822. http://dx.doi.org/10.1136/bmj.f822.

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Sedgwick, P. "Random allocation I." BMJ 339, no. 18 1 (2009): b4719. http://dx.doi.org/10.1136/bmj.b4719.

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Sedgwick, P. "Random allocation II." BMJ 339, no. 25 2 (2009): b4924. http://dx.doi.org/10.1136/bmj.b4924.

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Sedgwick, P. "Random allocation III." BMJ 339, dec02 2 (2009): b5072. http://dx.doi.org/10.1136/bmj.b5072.

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Kang, Hyun. "Random allocation and dynamic allocation randomization." Anesthesia and Pain Medicine 12, no. 3 (2017): 201–12. http://dx.doi.org/10.17085/apm.2017.12.3.201.

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Sedgwick, P. "Controlled trials: allocation concealment, random allocation, and blinding." BMJ 350, may15 2 (2015): h2633. http://dx.doi.org/10.1136/bmj.h2633.

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Lei, Xiaoli. "Resource Sharing Algorithm of Ideological and Political Course Based on Random Forest." Mathematical Problems in Engineering 2022 (May 21, 2022): 1–8. http://dx.doi.org/10.1155/2022/8765166.

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Three aspects of the system’s online resource distribution and application are built around subject, object, and intermediary resources. The invention relates to a method for allocating resources based on the random forest algorithm. The resource allocation process entails the following steps: constructing a mathematical model of the resource allocation process, defining a mathematical model of the resource allocation process for the target object, and designing the cost function. The training data set for random forest is constructed using the classification concept. It is based on the mathem

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Dissertations / Theses on the topic "Random allocation"

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Cheung, Wing-Keung. "Monte Carlo simulation on 2D random point pattern : Potts model and its application to econophysics /." View abstract or full-text, 2005. http://library.ust.hk/cgi/db/thesis.pl?PHYS%202005%20CHEUNG.

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Shi, Yongsheng. "Resource Allocation in Cellular Networks with Coexisting Femtocells and Macrocells." Diss., Virginia Tech, 2010. http://hdl.handle.net/10919/37180.

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Over the last decade, cellular networks have grown rapidly from circuit-switch-based voice-only networks to IP-based data-dominant networks, embracing not only traditional mobile phones, but also smartphones and mobile computers. The ever-increasing demands for reliable and high-speed data services have challenged the capacity and coverage of cellular networks. Research and development on femtocells seeks to provide a solution to fill coverage holes and to increase the network capacity to accommodate more mobile terminals and applications that requires higher bandwidth. Among the challenges

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Yeung, Chi-Ho. "Application of statistical physics on agent dynamics in multi-agent systems and resource allocation in random networks /." View abstract or full-text, 2006. http://library.ust.hk/cgi/db/thesis.pl?PHYS%202006%20YEUNG.

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Halmann, Marju. "Email Mining Classifier : The empirical study on combining the topic modelling with Random Forest classification." Thesis, Högskolan i Skövde, Institutionen för informationsteknologi, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-14710.

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Filtering out and replying automatically to emails are of interest to many but is hard due to the complexity of the language and to dependencies of background information that is not present in the email itself. This paper investigates whether Latent Dirichlet Allocation (LDA) combined with Random Forest classifier can be used for the more general email classification task and how it compares to other existing email classifiers. The comparison is based on the literature study and on the empirical experimentation using two real-life datasets. Firstly, a literature study is performed to gain ins

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Malik, Adeel. "Stochastic Coded Caching Networks : a Study of Cache-Load Imbalance and Random User Activity." Electronic Thesis or Diss., Sorbonne université, 2022. https://accesdistant.sorbonne-universite.fr/login?url=https://theses-intra.sorbonne-universite.fr/2022SORUS045.pdf.

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Dans cette thèse, nous élevons la mise en cache codée de son cadre purement théorique de l'information à un cadre stochastique où la stochasticité des réseaux provient de l'hétérogénéité des comportements de demande des utilisateurs. Nos résultats soulignent que la stochasticité des réseaux assistés par cache peut conduire à la disparition des gains de la mise en cache codée. Nous déterminons l'étendue exacte du goulot d'étranglement du déséquilibre de la charge du cache codé dans les réseaux stochastiques, ce qui n'a jamais été exploré auparavant. Notre travail fournit des techniques pour att

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Karlsson, Henrik. "Uplift Modeling : Identifying Optimal Treatment Group Allocation and Whom to Contact to Maximize Return on Investment." Thesis, Linköpings universitet, Statistik och maskininlärning, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-157962.

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This report investigates the possibilities to model the causal effect of treatment within the insurance domain to increase return on investment of sales through telemarketing. In order to capture the causal effect, two or more subgroups are required where one group receives control treatment. Two different uplift models model the causal effect of treatment, Class Transformation Method, and Modeling Uplift Directly with Random Forests. Both methods are evaluated by the Qini curve and the Qini coefficient. To model the causal effect of treatment, the comparison with a control group is a necessit

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Liv, Per. "Efficient strategies for collecting posture data using observation and direct measurement." Doctoral thesis, Umeå universitet, Yrkes- och miljömedicin, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-59132.

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Relationships between occupational physical exposures and risks of contracting musculoskeletal disorders are still not well understood; exposure-response relationships are scarce in the musculoskeletal epidemiology literature, and many epidemiological studies, including intervention studies, fail to reach conclusive results. Insufficient exposure assessment has been pointed out as a possible explanation for this deficiency. One important aspect of assessing exposure is the selected measurement strategy; this includes issues related to the necessary number of data required to give sufficient in

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Abdelalim, Kaoutar. "Study and optimisation of IEEE 802.11 PHY and MAC protocols towards a new generation integrated in 5G." Thesis, Ecole nationale supérieure Mines-Télécom Atlantique Bretagne Pays de la Loire, 2019. http://www.theses.fr/2019IMTA0163.

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L’évolution des réseaux sans fil et leur utilisation massive soulève de plus en plus de défis. Cela est particulièrement vrai pour les environnements denses pour lesquels la performance par utilisateur est un problème clé. Le standard IEEE 802.11ax a été lancé dans ce contexte, afin d’améliorer les protocoles des couches PHY(Physical) et MAC (Medium Access Control) en maintenant la rétrocompatibilité avec les standards précédents. Les travaux de cette thèse rejoignent les mêmes perspectives que le IEEE 802.11ax, à savoir l’amélioration des protocoles existants ou l’introduction de nouvelles te

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Victors, Mason Lemoyne. "A Classification Tool for Predictive Data Analysis in Healthcare." BYU ScholarsArchive, 2013. https://scholarsarchive.byu.edu/etd/5639.

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Hidden Markov Models (HMMs) have seen widespread use in a variety of applications ranging from speech recognition to gene prediction. While developed over forty years ago, they remain a standard tool for sequential data analysis. More recently, Latent Dirichlet Allocation (LDA) was developed and soon gained widespread popularity as a powerful topic analysis tool for text corpora. We thoroughly develop LDA and a generalization of HMMs and demonstrate the conjunctive use of both methods in predictive data analysis for health care problems. While these two tools (LDA and HMM) have been used in co

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Sun, Xusheng. "Optimal distributed detection and estimation in static and mobile wireless sensor networks." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/44825.

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This dissertation develops optimal algorithms for distributed detection and estimation in static and mobile sensor networks. In distributed detection or estimation scenarios in clustered wireless sensor networks, sensor motes observe their local environment, make decisions or quantize these observations into local estimates of finite length, and send/relay them to a Cluster-Head (CH). For event detection tasks that are subject to both measurement errors and communication errors, we develop an algorithm that combines a Maximum a Posteriori (MAP) approach for local and global decisions with low-

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Books on the topic "Random allocation"

1

Edgington, Eugene S. Randomization tests. 3rd ed. M. Dekker, 1995.

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Patrick, Onghena, ed. Randomization tests. 4th ed. Taylor & Francis, 2007.

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Relles, Daniel A. Allocating research resources: The role of a data management core unit. Rand, 1986.

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E, Starzl Thomas. The puzzle people: Memoirs of a transplant surgeon. University of Pittsburgh Press, 1992.

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Nichols, Eve K. Expanding access to investigational therapies for HIV infection and AIDS: March 12-13, 1990, conference summary. National Academy Press, 1991.

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An Introduction to Random Sets. Chapman & Hall/CRC, 2006.

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The selection of control groups in case-control studies: Evaluation of control groups selected by random digit dialing and from hospitals. 1992.

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Edgington, Eugene, and Patrick Onghena. Randomization Tests. Taylor & Francis Group, 2007.

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Randomization tests. 2nd ed. M. Dekker, 1987.

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Randomization Tests. Taylor & Francis Group, 2007.

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Book chapters on the topic "Random allocation"

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Tullock, Gordon. "Random Allocation." In Economic Hierarchies, Organization and the Structure of Production. Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-011-2948-0_9.

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Sanders, Peter, and Berthold Vöcking. "Random Arc Allocation and Applications." In Algorithm Theory — SWAT 2002. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45471-3_13.

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Wang, Shuming, and Junzo Watada. "Fuzzy Random Redundancy Allocation Problems." In Fuzzy Optimization. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13935-2_20.

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Soleimanian, Azam. "Anonymous Random Allocation and Its Applications." In Cryptology and Network Security. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-20974-1_15.

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Hwang, Eui-Seok, Jeong-Jae Won, You-Chang Ko, Hyong-Woo Lee, and Choong-Ho Cho. "Random Channel Allocation Scheme in HIPERLAN/2." In Advances in Multimedia Information Processing - PCM 2004. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30541-5_4.

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Gani, J. "Random Allocation Methods in an Epidemic Model." In Stochastic Processes. Springer New York, 1993. http://dx.doi.org/10.1007/978-1-4615-7909-0_12.

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Brooks, David R. "Binary Files, Random Access, and Dynamic Allocation." In C Programming: The Essentials for Engineers and Scientists. Springer New York, 1999. http://dx.doi.org/10.1007/978-1-4612-1484-7_10.

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Rasmussen, Mikkel. "Quasi-Random Monte Carlo Simulated Asset Allocation (Qrmcsaa)." In Quantitative Portfolio Optimisation, Asset Allocation and Risk Management. Palgrave Macmillan UK, 2003. http://dx.doi.org/10.1057/9780230512856_10.

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Pourmiri, Ali. "Balanced Allocation on Graphs: A Random Walk Approach." In Lecture Notes in Computer Science. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-42634-1_27.

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Hough, J., Manjunath Krishnapur, Yuval Peres, and Bálint Virág. "Advanced topics: Dynamics and allocation to random zeros." In University Lecture Series. American Mathematical Society, 2009. http://dx.doi.org/10.1090/ulect/051/08.

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Conference papers on the topic "Random allocation"

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Zhou, Qianyu, Xiaohua Cao, and Peng Wang. "Deep Reinforcement Learning for Dynamic Berth Allocation with Random Ship Arrivals." In 2024 6th International Conference on Data-driven Optimization of Complex Systems (DOCS). IEEE, 2024. http://dx.doi.org/10.1109/docs63458.2024.10704490.

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Zhang, Ying. "Reinforcement learning-based MTC random access and heterogeneous network resource allocation." In International Conference on Signal Processing and Neural Network Application (SPNNA 2024), edited by Tao Lei and Lei Chen. SPIE, 2025. https://doi.org/10.1117/12.3064986.

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Nishant, Potula Radha, and Beena B M. "Analyzing Facility Servers Using Random Forest and XGBoost for Optimized Job Allocation." In International Conference on Intelligent and Sustainable Power and Energy Systems. SCITEPRESS - Science and Technology Publications, 2024. https://doi.org/10.5220/0013577100004639.

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Goiz, Giselle, Claudio M. de Farias, and Flavia C. Delicato. "SNSM - Dynamic Resource Allocation for Network Slices with LSTM, GRU and Random Forest." In 2024 IEEE 13th International Conference on Cloud Networking (CloudNet). IEEE, 2024. https://doi.org/10.1109/cloudnet62863.2024.10815784.

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Wbaid, Saef, T. Ilakkia, Aslin Jerusha, Lakshmi Priya M, and G. Swarnalakshmi. "Traffic Prediction Based on Random Forest Regressor for Efficient Resource Allocation in Cellular Networks." In 2025 3rd International Conference on Integrated Circuits and Communication Systems (ICICACS). IEEE, 2025. https://doi.org/10.1109/icicacs65178.2025.10968900.

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Cheng, Fangyuan. "Analysis and Optimization of Influential Factors of Cloud Computing Resource Allocation Based on Random Forests." In 2024 IEEE 2nd International Conference on Electrical, Automation and Computer Engineering (ICEACE). IEEE, 2024. https://doi.org/10.1109/iceace63551.2024.10898366.

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Zhao, Tianhang, Jingjing Huang, Lianyuan Ma, and Shuo Wang. "Research on Capacity Optimization Allocation Strategy of Photovoltaic Multi-Component Energy Storage System in Random Scenario." In 2025 Joint International Conference on Automation-Intelligence-Safety (ICAIS) & International Symposium on Autonomous Systems (ISAS). IEEE, 2025. https://doi.org/10.1109/icaisisas64483.2025.11051671.

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George, Angelina, and B. M. Beena. "Rack Sensor Metrics Odyssey: Analyzing Sensor Behavior with Random Forest and kNN for Strategic Job Allocation Insights." In 2025 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS). IEEE, 2025. https://doi.org/10.1109/sceecs64059.2025.10940953.

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Bai, Yushi, and Paul Gölz. "Envy-Free and Pareto-Optimal Allocations for Agents with Asymmetric Random Valuations." In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/8.

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We study the problem of allocating m indivisible items to n agents with additive utilities. It is desirable for the allocation to be both fair and efficient, which we formalize through the notions of envy-freeness and Pareto-optimality. While envy-free and Pareto-optimal allocations may not exist for arbitrary utility profiles, previous work has shown that such allocations exist with high probability assuming that all agents’ values for all items are independently drawn from a common distribution. In this paper, we consider a generalization of this model where each agent’s utilities are drawn

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Stavrakakis, I. "Capacity allocation under random slot assignment policy." In IEEE INFCOM '91. The conference on Computer Communications. Tenth Annual Joint Comference of the IEEE Computer and Communications Societies Proceedings. IEEE, 1991. http://dx.doi.org/10.1109/infcom.1991.147510.

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Reports on the topic "Random allocation"

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Peters, Amanda, and Linda Zeger. Efficient Resource Allocation for Broadcasting Multi-Slot Messages With Random Access with Capture. Defense Technical Information Center, 2011. http://dx.doi.org/10.21236/ada541058.

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Harris, B., M. Marden, and C. J. Park. The Distribution of the Number of Empty Cells in a Generalized Random Allocation Scheme. Defense Technical Information Center, 1985. http://dx.doi.org/10.21236/ada154806.

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Cristia, Julian P., Paulo Bastos, Kim Beomsoo, and Ofer Malamud. Good schools or good students?: evidence on school effects from universal random assignment of students to high schools. Inter-American Development Bank, 2022. http://dx.doi.org/10.18235/0004380.

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How much do schools differ in their effectiveness? Recent studies that seek to answer this question account for student sorting using random assignment generated by central allocation mechanisms or oversubscribed schools. However, the resulting estimates, while causal, may also reflect peer effects due to differences in peer quality of non-randomized students. We exploit universal random assignment of students to high schools in certain areas of South Korea to provide estimates of school effects that may better reflect the effects of school practices. We find significant effects of schools on

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Graziano, Alejandro, Christian Volpe Martincus, and Jerónimo Carballo. Customs. Inter-American Development Bank, 2016. http://dx.doi.org/10.18235/0011743.

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In this paper, we estimate the effects of custom-related delays on firms'exports. In so doing, we use a unique dataset that consists of the universe of Uruguay's export transactions over the period 2002-2011 and includes precise information on the actual time it took for each of these transactions to go through customs. We account for potential endogeneity of these processing times by exploiting the conditional random allocation of shipments to different verification channels associated with the use of riskbased control procedures. Results suggest that delays have a significant negative impact

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Attanasio, Orazio, and Elisa Cavatorta. Complements and Alternatives to RCTs in evaluation in development. Centre for Excellence and Development Impact and Learning (CEDIL), 2017. http://dx.doi.org/10.51744/cpip1.

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Randomised control trials (RCTs) have attracted increasing attention in evaluation of public policy. They have become some sort of gold standard to determine “what works” in international development. However, in some cases, the key feature of RCTs – the random allocation of treatment(s) – may be unethical, politically infeasible, or simply impossible. This paper discusses the main barriers to answer causal questions of key interest in policy evaluation. It then reviews approaches complement to RCTs which can be used to answer evaluation questions in conjunction with RCTs and alternatives usef

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Busso, Matías, and Verónica Frisancho. Good Peers Have Asymmetric Gendered Effects on Female Educational Outcomes: Experimental Evidence from Mexico. Inter-American Development Bank, 2021. http://dx.doi.org/10.18235/0003247.

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This study examines the gendered effects of early and sustained exposure to high-performing peers on female educational trajectories. Exploiting random allocation to classrooms within middle schools, we measure the effect of male and female high performers on girls' high school placement outcomes. We disentangle two channels through which peers of either sex can play a role: academic performance and school preferences. We also focus on the effects of peers along the distribution of baseline academic performance. Exposure to good peers of either sex reduces the degree to which high-achieving gi

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van der Mensbrugghe, Dominique. A Summary Guide to the Latin Hypercube Sampling (LHS) Utility. GTAP Working Paper, 2023. http://dx.doi.org/10.21642/gtap.wp94.

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Latin Hypercube Sampling (LHS) is one method of Monte Carlo-type sampling, which is useful for limiting sample size yet maximizing the range of sampling of the underlying distributions. The LHS utility, for which this document describes the usage, also allows for user-specified correlations between two or more of the sampled distributions. The LHS utility described herein is a full re-coding using C/C++ of the original LHS utility—developed at Sandia National Labs (Swiler and Wyss (2004)), written in FORTRAN and freely available. The re-coding hones close to the original FORTRAN code, but allo

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McPhedran, R., K. Patel, B. Toombs, et al. Food allergen communication in businesses feasibility trial. Food Standards Agency, 2021. http://dx.doi.org/10.46756/sci.fsa.tpf160.

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Background: Clear allergen communication in food business operators (FBOs) has been shown to have a positive impact on customers’ perceptions of businesses (Barnett et al., 2013). However, the precise size and nature of this effect is not known: there is a paucity of quantitative evidence in this area, particularly in the form of randomised controlled trials (RCTs). The Food Standards Agency (FSA), in collaboration with Kantar’s Behavioural Practice, conducted a feasibility trial to investigate whether a randomised cluster trial – involving the proactive communication of allergen information a

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Miller, Benjamin M. The National Institute of Standards and Technology’s Impact on Fire Safety Standards. National Institute of Standards and Technology, 2022. https://doi.org/10.6028/nist.gcr.25-061.

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Standards provide critical benefits across a wide variety of contexts, including safety and health, environmental protection, and quality of products and services. However, while these benefits are generally acknowledged, estimating the social and economic value of standards and determining how specific entities and activities influence their development require careful analysis. In October of 2018, the National Institute of Standards and Technology (NIST) asked the RAND Corporation to estimate the benefit of NIST’s research contributing to particular fire safety standards. The original object

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