Relevant bibliographies by topics / Mobile coverage

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
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Academic literature on the topic 'Mobile coverage'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Mobile coverage"

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Koutroumpis, Pantelis, and Aija Leiponen. "Crowdsourcing mobile coverage." Telecommunications Policy 40, no. 6 (2016): 532–44. http://dx.doi.org/10.1016/j.telpol.2016.02.005.

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Mo Li, Weifang Cheng, Kebin Liu, Yuan He, Xiangyang Li, and Xiangke Liao. "Sweep Coverage with Mobile Sensors." IEEE Transactions on Mobile Computing 10, no. 11 (2011): 1534–45. http://dx.doi.org/10.1109/tmc.2010.237.

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Wu, Jie. "Collaborative Mobile Charging and Coverage." Journal of Computer Science and Technology 29, no. 4 (2014): 550–61. http://dx.doi.org/10.1007/s11390-014-1449-2.

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Pöllänen, Ossi, and Mikko Säily. "Mobile coverage investment model linked to mobile network design." NETNOMICS: Economic Research and Electronic Networking 8, no. 1-2 (2007): 49–70. http://dx.doi.org/10.1007/s11066-008-9015-0.

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Zeng, Xia Ling. "Coverage-Optimized Deployment Research for Maximizing the Sensor Network Coverage." Applied Mechanics and Materials 713-715 (January 2015): 1137–40. http://dx.doi.org/10.4028/www.scientific.net/amm.713-715.1137.

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For multilayer mobile sensor network, the issues of improving sensor network coverage by the use of mobile sensors are studied. A coverage-optimized deployment algorithm based on grid-division and bipartite graph matching is proposed. Firstly, the deployment area is divided into many grids and build distribution matrix of sensor nodes. Then construct a bipartite graph G based on the grid-division and solve a matching of maximum cardinality of G. It corresponds to an optimal deployment scheme which maximizes the network coverage and minimizes the total movement cost. Results show that after opt
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Lee, Chongdeuk. "HCCA for Wireless Mobile Coverage Networks." Indian Journal of Science and Technology 9, no. 1 (2016): 1–8. http://dx.doi.org/10.17485/ijst/2016/v9i46/107198.

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Liu, Benyuan, Olivier Dousse, Philippe Nain, and Don Towsley. "Dynamic Coverage of Mobile Sensor Networks." IEEE Transactions on Parallel and Distributed Systems 24, no. 2 (2013): 301–11. http://dx.doi.org/10.1109/tpds.2012.141.

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Shakhatreh, Hazim, Abdallah Khreishah, and Issa Khalil. "Indoor Mobile Coverage Problem Using UAVs." IEEE Systems Journal 12, no. 4 (2018): 3837–48. http://dx.doi.org/10.1109/jsyst.2018.2824802.

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Cortes, J., S. Martinez, T. Karatas, and F. Bullo. "Coverage Control for Mobile Sensing Networks." IEEE Transactions on Robotics and Automation 20, no. 2 (2004): 243–55. http://dx.doi.org/10.1109/tra.2004.824698.

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Wei Wang, V. Srinivasan, and Kee-Chaing Chua. "Coverage in Hybrid Mobile Sensor Networks." IEEE Transactions on Mobile Computing 7, no. 11 (2008): 1374–87. http://dx.doi.org/10.1109/tmc.2008.68.

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Dissertations / Theses on the topic "Mobile coverage"

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Deshpande, Ajay A. "Coverage problems in mobile sensing." Thesis, Massachusetts Institute of Technology, 2008. http://hdl.handle.net/1721.1/46485.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2008.<br>Includes bibliographical references (p. 177-183).<br>Sensor-networks can today measure physical phenomena at spatial and temporal scales that were not achievable earlier, and have shown promise in monitoring the environment, structures, agricultural fields and so on. A key challenge in sensor-networks is the coordination of four actions across the network: measurement (sensing), communication, motion and computation. The term coverage is applied to the central question of how well a sensor-network
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Söderlund, Gustaf. "Investigating Mobile Broadband Coverage in Rural Areas." Thesis, Karlstads universitet, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-67883.

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With an increasing demand of mobile data traffic, and a growing assumption of continuous Internet connectivity, it is important to investigate the characteristics of mobile cellular networks. The consequence of insufficient capacity will grow as the cloud and other Internet demanding services, not only makes us dependent, but becomes a way of living. The present study aims to identify areas without mobile network coverage in Värmland County in central Sweden. An additional aim is to find statistical relationships between network performance metrics such as throughput, signal strength and laten
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Lee, Jaeyong. "Deployment and coverage maintenance in mobile sensor networks." [College Station, Tex. : Texas A&M University, 2007. http://hdl.handle.net/1969.1/ETD-TAMU-1564.

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balakrishnan, mohanakrishnan. "COVERAGE PATH PLANNING AND CONTROL FOR AUTONOMOUS MOBILE ROBOTS." Master's thesis, University of Central Florida, 2005. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/2769.

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Coverage control has many applications such as security patrolling, land mine detectors, and automatic vacuum cleaners. This Thesis presents an analytical approach for generation of control inputs for a non-holonomic mobile robot in coverage control. Neural Network approach is used for complete coverage of a given area in the presence of stationary and dynamic obstacles. A complete coverage algorithm is used to determine the sequence of points. Once the sequences of points are determined a smooth trajectory characterized by fifth order polynomial having second order continuity is generated. An
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VASQUEZ, EDUARDO JAVIER ARANCIBIA. "COVERAGE STUDY OF CELLULAR MOBILE SYSTEMS ON URBAN REGION." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 1996. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=8634@1.

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FINANCIADORA DE ESTUDOS E PROJETOS<br>TELECOMUNICAÇÕES BRASILEIRAS S/A<br>Este trabalho consiste de um estudo do comportamento de sinais de rádio propagando-se em um ambiente móvel celular com características urbanas. Este estudo é dividido em duas partes: realização de medidas de cobertura e análise dos dados obtidos. Na primeira parte, uma portadora em 900MHz, sem modulação, é transmitida. Um laboratório móvel, especialmente montado para este trabalho, é utilizado para medir e armazenar o valor instantâneo da potência do sinal recebido. Na segunda parte, realiza-se análise dos dados.
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Zheng, Zizhan. "Sparse Deployment of Large Scale Wireless Networks for Mobile Targets." The Ohio State University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=osu1275444923.

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Aslan, Ali Umut. "The Effects Of Hierarchy On Mobile Wireless Sensor Network Coverage." Master's thesis, METU, 2006. http://etd.lib.metu.edu.tr/upload/2/12607141/index.pdf.

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Due to their economic potential and widespread application areas, wireless sensor networks have emerged as an active research topic during the last five years. One of the fundamental challenges in wireless sensor network research is the provision of sufficient coverage while maintaining energy efficiency and longevity under sensor mobility. The purpose of this thesis is to observe the coverage and energy consumption dynamics of a mobile wireless sensor network in a hierarchical architecture. To achieve this goal iv we implemented a simulation environment with flat and hierarchical topologies.
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Monrad-Hansen, Jens Wiel. "Radio Planning and Coverage Prediction of Mobile WiMAX in Trondheim." Thesis, Norwegian University of Science and Technology, Department of Electronics and Telecommunications, 2009. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-9892.

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<p>Challenged by the LTE system, Mobile WiMAX is set to be the next generation broadband wireless system. Providing high data rates over large distances gives unlimited possibilities for services provided to the end users. As for all undeveloped systems, Mobile WiMAX has also been exposed to rumors and hypes. This thesis is based on the work performed in cite{prosjekt}, and aims to provide radio planning of a Mobile WiMAX network in the populated areas of Trondheim, Norway. Moreover, preparatory work and suggestions for field testing of the deployed system have been provided. The coverage pre
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Wu, Jiay. "Coverage-based cooperative radio resource allocation in mobile communication systems." Thesis, Queen Mary, University of London, 2012. http://qmro.qmul.ac.uk/xmlui/handle/123456789/3164.

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This thesis focuses on applying adaptive system level cooperative coverage to wireless communication networks and proposes an Adaptive Coverage System (ACS) for flexible and resilient radio coverage to handle time-varying geographic traffic distribution, providing better than conventional radio resource allocation results. The ACS utilises antenna arrays called Semi-Smart Antennas to shape cell coverage to alleviate cell overloading and balance loads as equally as possible among cells. Previously work in this field used a Bubble Oscillation Algorithm (BOA) to solve the load balancing problem i
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Ek, Patrik. "Deployment of Indoor Small-Cells for 4G mobile Broadband." Thesis, Uppsala universitet, Signaler och System, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-208569.

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This thesis presents an investigation of the impact of indoor small-cells. It is expected that small-cells will be able to increase the throughput and capacity for the existing networks. A deployment algorithm is presented with focus on offloading traffic from the macro layer. The performance of the deployments created with the proposed algorithm, is compared with a reference deployment. The different deployments are then simulated in a real network simulator, which performs static simulations in 3 dimension using the theory of multiple knife-edge diffraction. The small-cells increased the thr
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Books on the topic "Mobile coverage"

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Hess, Garry C. Handbook of land-mobile radio system coverage. Artech House, 1998.

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Ali, Haider. Mobile network coverage and capacity optimisation for third generation universal mobile telecommunications system. De Montfort University, 2004.

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Savkin, Andrey V., Teddy M. Cheng, Zhiyu Xi, Faizan Javed, Alexey S. Matveev, and Hung Nguyen, eds. Decentralized Coverage Control Problems for Mobile Robotic Sensor and Actuator Networks. John Wiley & Sons, Inc., 2015. http://dx.doi.org/10.1002/9781119058052.

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Beady, Charles H. The role of the Black media in disaster reporting to the Black community. Institute of Behavioral Science, University of Colorado, 1986.

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Beady, Charles H. The role of the black media in disaster reporting to the black community. University of Colorado, Institute of Behavioral Science, 1986.

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Aker, Jenny C., and Marcel Fafchamps. Mobile Phone Coverage and Producer Markets: Evidence from West Africa. The World Bank, 2014. http://dx.doi.org/10.1596/1813-9450-6986.

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In-building Cellular Coverage Solutions. John Wiley & Sons Inc, 2008.

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Matveev, Alexey S., Andrey V. Savkin, Teddy M. Cheng, Faizan Javed, and Zhiyu Xi. Decentralized Coverage Control Problems for Mobile Robotic Sensor and Actuator Networks. Wiley & Sons, Incorporated, John, 2015.

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Matveev, Alexey S., Andrey V. Savkin, Hung Nguyen, Teddy M. Cheng, and Faizan Javed. Decentralized Coverage Control Problems for Mobile Robotic Sensor and Actuator Networks. Wiley & Sons, Incorporated, John, 2015.

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Mukherjee, Sayandev. Analytical Modeling of Heterogeneous Cellular Networks: Geometry, Coverage, and Capacity. Cambridge University Press, 2014.

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Book chapters on the topic "Mobile coverage"

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Kim, Hyunbum. "Mobile Coverage." In Mission-Oriented Sensor Networks and Systems: Art and Science. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-91146-5_5.

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Stüber, Gordon L. "Cellular Coverage Planning." In Principles of Mobile Communication. Springer US, 1996. http://dx.doi.org/10.1007/978-1-4757-6268-6_9.

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Wu, Weili, Zhao Zhang, Wonjun Lee, and Ding-Zhu Du. "Mobile Sensors." In Optimal Coverage in Wireless Sensor Networks. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-52824-9_14.

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Han, Shuangfeng, Youzheng Wang, Jing Wang, Osamu Kato, and Akihiko Nishio. "Capacity and Coverage of TD-SCDMA System with Smart Antenna." In Mobile Communications. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-36555-9_9.

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Bar-Noy, Amotz, Dror Rawitz, and Peter Terlecky. "“Green” Barrier Coverage with Mobile Sensors." In Lecture Notes in Computer Science. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-18173-8_2.

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Siamantas, Georgios, Konstantinos Gatsis, and Antony Tzes. "Mobile Robot-Assisted Cellular Environment Coverage." In IFIP Advances in Information and Communication Technology. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16239-8_34.

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Patwary, Mohammad N., Predrag Rapajic, and Ian Oppermann. "Capacity and Coverage Increase with Repeaters in UMTS." In Mobile and Wireless Communications. Springer US, 2003. http://dx.doi.org/10.1007/978-0-387-35618-1_20.

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Su, Lu, Qing Yang, Quanlong Li, and Xiaofei Xu. "Coverage Algorithm and Protocol in Heterogeneous Sensor Networks." In Networking and Mobile Computing. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11534310_8.

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Ghosh, Amitabha, and Sajal K. Das. "Coverage and Connectivity Issues in Wireless Sensor Networks." In Mobile, Wireless, and Sensor Networks. John Wiley & Sons, Inc., 2006. http://dx.doi.org/10.1002/0471755591.ch9.

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Mazdin, Petra, and Bernhard Rinner. "Coordination of Mobile Agents for Simultaneous Coverage." In PRIMA 2019: Principles and Practice of Multi-Agent Systems. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-33792-6_11.

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Conference papers on the topic "Mobile coverage"

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Shen, Changxiang, Weifang Cheng, Xiangke Liao, and Shaoliang Peng. "Barrier Coverage with Mobile Sensors." In 2008 International Symposium on parallel Architectures, Algorighms and Networks I-SPAN. IEEE, 2008. http://dx.doi.org/10.1109/i-span.2008.8.

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Weifang Cheng, Mo Li, Kebin Liu, Yunhao Liu, Xiangyang Li, and Xiangke Liao. "Sweep coverage with mobile sensors." In Distributed Processing Symposium (IPDPS). IEEE, 2008. http://dx.doi.org/10.1109/ipdps.2008.4536245.

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Zhou, Zude, and Sheng Wang. "Centroid Optimization Coverage and Polling the Sets of the "Coverage" Nodes: An Improved Coverage Scheme." In 2006 International Conference on Wireless Communications, Networking and Mobile Computing. IEEE, 2006. http://dx.doi.org/10.1109/wicom.2006.292.

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Poduri, S., and G. S. Sukhatme. "Constrained coverage for mobile sensor networks." In IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004. IEEE, 2004. http://dx.doi.org/10.1109/robot.2004.1307146.

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Chauhan, Aishwarya, and Sangeeta Mittal. "Efficient field coverage using mobile sensors." In 2016 International Conference on Signal Processing and Communication (ICSC). IEEE, 2016. http://dx.doi.org/10.1109/icspcom.2016.7980539.

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Gupta, Vijay, David E. Jeffcoat, and Richard M. Murray. "On Sensor Coverage by Mobile Sensors." In Proceedings of the 45th IEEE Conference on Decision and Control. IEEE, 2006. http://dx.doi.org/10.1109/cdc.2006.377220.

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Jinlin, Wan, Wen Jianguo, and Liu Hao. "Barrier Coverage with Mobile Sensor Network." In 2013 Fourth International Conference on Digital Manufacturing & Automation (ICDMA). IEEE, 2013. http://dx.doi.org/10.1109/icdma.2013.77.

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Li, Xu, Hannes Frey, Nicola Santoro, and Ivan Stojmenovic. "Focused-coverage by mobile sensor networks." In 2009 IEEE 6th International Conference on Mobile Adhoc and Sensor Systems. IEEE, 2009. http://dx.doi.org/10.1109/mobhoc.2009.5336967.

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Silvestri, S. "MobiBar: Barrier Coverage with Mobile Sensors." In 2011 IEEE Global Communications Conference (GLOBECOM 2011). IEEE, 2011. http://dx.doi.org/10.1109/glocom.2011.6133536.

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Mathew, George, and Igor Mezic. "Spectral Multiscale Coverage: A uniform coverage algorithm for mobile sensor networks." In 2009 Joint 48th IEEE Conference on Decision and Control (CDC) and 28th Chinese Control Conference (CCC). IEEE, 2009. http://dx.doi.org/10.1109/cdc.2009.5400401.

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Reports on the topic "Mobile coverage"

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VanderHeide, J. R. Terrain coverage of an unknown room by an autonomous mobile robot. Office of Scientific and Technical Information (OSTI), 1995. http://dx.doi.org/10.2172/196477.

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Garrity, John, and Arndt Husar. Digital Connectivity and Low Earth Orbit Satellite: Constellations Opportunities for Asia and the Pacific. Asian Development Bank, 2021. http://dx.doi.org/10.22617/wps210156-2.

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Satellite communication plays an important role in the global connectivity ecosystem. It connects rural and remote populations, provides backhaul connectivity to mobile cellular networks, and enables rapid communications for emergency and disaster responses. Low Earth orbit constellations may prove to be transformational to the connectivity landscape based on their global coverage and their suitability for areas not served by fiber optic cable networks. The Asian Development Bank’s developing member countries are well placed to benefit from this expansion of internet connectivity. It will be p
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Mateo Díaz, Mercedes, Laura Becerra Luna, Juan Manuel Hernández-Agramonte, Florencia López, Marcelo Pérez Alfaro, and Alejandro Vasquez Echeverria. Nudging Parents to Improve Preschool Attendance in Uruguay. Inter-American Development Bank, 2020. http://dx.doi.org/10.18235/0002901.

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Uruguay has increased it preschool enrollment, reaching almost universal coverage among four- and five-year-olds. However, more than a third of children enrolled in preschool programs have insufficient attendance, with absenteeism higher in schools in lower socioeconomic areas and among younger preschool children. This paper presents the results of a behavioral intervention to increase preschool attendance nationwide. Most previous experiments using behavioral sciences have looked at the impact of nudging parents on attendance and learning for school-age children; this is the first experiment
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