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Статті в журналах з теми "Billing data"
Barnett, Paul G. "Research Without Billing Data." Medical Care 35, no. 6 (June 1997): 553–63. http://dx.doi.org/10.1097/00005650-199706000-00002.
Повний текст джерелаLabrèche, France, Tom Kosatsky, and Raymond Przybysz. "Childhood Asthma Surveillance using Administrative Data: Consistency between Medical Billing and Hospital Discharge Diagnoses." Canadian Respiratory Journal 15, no. 4 (2008): 188–92. http://dx.doi.org/10.1155/2008/412809.
Повний текст джерелаWeyland, Tina. "Student Data Privacy and Automatic Textbook Billing." OLA Quarterly 27, no. 1 (March 22, 2022): 38–42. http://dx.doi.org/10.5399/osu/1093-7374.27.01.09.
Повний текст джерелаBamezai, Anil. "On weather normalizing customer-level billing data." Water Resources Research 33, no. 5 (May 1997): 1171–78. http://dx.doi.org/10.1029/97wr00302.
Повний текст джерелаMolnar, Andreea. "Video quality vs. mobile data billing plans." Telematics and Informatics 33, no. 1 (February 2016): 227–31. http://dx.doi.org/10.1016/j.tele.2015.07.009.
Повний текст джерелаEkin, Tahir, and Paul Damien. "Analysis of Health Care Billing via Quantile Variable Selection Models." Healthcare 9, no. 10 (September 27, 2021): 1274. http://dx.doi.org/10.3390/healthcare9101274.
Повний текст джерелаCeratti, A., F. H. Roger France, and C. Beguin. "Health data quality improvement by comparing administrative medical data and billing data." International Journal of Medical Informatics 77, no. 8 (August 2008): 527–33. http://dx.doi.org/10.1016/j.ijmedinf.2007.10.003.
Повний текст джерелаGlauser, Wendy. "Physician billing data reveal striking gender pay gap." Canadian Medical Association Journal 192, no. 36 (September 7, 2020): E1051—E1052. http://dx.doi.org/10.1503/cmaj.1095894.
Повний текст джерелаIrwin, G. W., W. Monteith, and W. C. Beattie. "Statistical electricity demand modelling from consumer billing data." IEE Proceedings C Generation, Transmission and Distribution 133, no. 6 (1986): 328. http://dx.doi.org/10.1049/ip-c.1986.0048.
Повний текст джерелаCOCHRAN, AUDREY, and NORMAN L. KELTNER. "Generating Home Health Agency Information From Billing Data." Nursing Management (Springhouse) 22, no. 7 (July 1991): 50–51. http://dx.doi.org/10.1097/00006247-199107000-00014.
Повний текст джерелаДисертації з теми "Billing data"
Seashore, Jonathan. "The automation of obtaining customer billing data." [Denver, Colo.] : Regis University, 2006. http://165.236.235.140/lib/JSeashore2006.pdf.
Повний текст джерелаLukalapu, Sushma. "Billing and receivables database application." CSUSB ScholarWorks, 2000. https://scholarworks.lib.csusb.edu/etd-project/1618.
Повний текст джерелаChan, Emily. "Evaluating the use of physician billing data for age and setting specific influenza surveillance." Thesis, McGill University, 2009. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=32402.
Повний текст джерелаLa surveillance syndromique a émergé comme une nouvelle approche automatisée pour le contrôle des maladies avec des sources de données pré-diagnostic, mais qui sont souvent non-spécifiques. Pourtant, il y a peu de consensus concernant les meilleures sources de données. En utilisant des factures médicales émises entre 1998 et 2003, et provenant de centres communautaire et de services d'urgence au Québec, Canada, nous avons évalué par tranche d'âge, le cadre des visites, et la saison de la grippe la relation d'avance-décalage entre les visites médicales ambulatoires pour le syndrome d'allure grippale (SAG) et les hospitalisations pour la pneumonie et la grippe. Pour ce faire, nous avons appliqué la méthodologie des modèles d'ARIMA et calculé la fonction de contre-corrélation (CCF) avec les résidus. Les visites communautaires reliée au SAG par des enfants âgés de 5-17 ans ont eu tendance à pourvoir les plus grandes avances (au moins 2 semaines, mais quelques fois jusqu'à 3 semaines) contre des hospitalisations pour la pneumonie et la grippe. Les avances ont varié chaque année, peut-être à cause de la circulation des souches différentes chaque saison. Ces résultats ont des implications importantes pour la surveillance syndromique de la grippe, ainsi que pour des stratégies de lutte contre l'épidémie, comme la vaccination et la fermeture d'écoles.
Pidlaoan, Victorio P. "Use of Billing and Electronic Health Record Data to define an Alternative Payment Model for the Management of Acute Pancreatitis." The Ohio State University, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=osu1511807834086251.
Повний текст джерелаHandlon, Lauree E. "The Relationship of the Financial Condition of a Healthcare Organization and the Error Rate of Potentially Missed Coding/Billing of Select Outpatient Services." The Ohio State University, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=osu1204650548.
Повний текст джерелаStrmiska, Roman. "Hotspotový systém pro více operátorů." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2009. http://www.nusl.cz/ntk/nusl-218144.
Повний текст джерелаD'Elboux, Adriano FogaÃa. "O impacto da autuaÃÃo fiscal no comportamento dos contribuintes do ICMS no Estado do CearÃ." Universidade Federal do CearÃ, 2012. http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=9902.
Повний текст джерелаDiante da significativa importÃncia de se aferir a efetividade dos mecanismos de atuaÃÃo das administraÃÃes tributÃrias e o papel da auditoria fiscal no combate a evasÃo fiscal, analisa-se os impactos da AutuaÃÃo Fiscal imposta como puniÃÃo pela Auditoria Fiscal no Ãmbito da FiscalizaÃÃo TributÃria do ICMS sobre o comportamento dos contribuintes no Estado do CearÃ. Modelos com dados em painel com informaÃÃes sobre o grupo de tratamento formado por empresas fiscalizadas e autuadas por irregularidades no cumprimento de suas obrigaÃÃes tributÃrias no perÃodo de Julho de 2006 Ã Dezembro de 2006 foram contrastados com os de um grupo de controle composto por empresas que nÃo foram fiscalizadas e autuadas entre Janeiro de 2005 Ã Dezembro de 2007. Modelos para a elasticidade tributÃria do faturamento do contribuinte foram estimados tambÃm em segmentos de atividade para verificar efeitos setoriais da autuaÃÃo fiscal. Para o total das empresas nos diversos segmentos constatou-se um moderado impacto da autuaÃÃo fiscal sobre a elasticidade tributÃria do faturamento dos contribuintes autuados. Nos subgrupos, apenas o segmento Atacadista mostra o impacto positivo da autuaÃÃo fiscal.
Given the significant importance of measuring the effectiveness of the mechanisms of action of the tax administrations and the role of audit in combating tax evasion, we analyze the impacts of Tax Fine imposed as punishment for Tax Audit under the Tax Inspection of ICMS on behavior of taxpayers in the state of CearÃ. Models with panel data with information about the treatment group consists of companies audited and fined for irregularities in meeting their tax obligations in the period July 2006 to December 2006 were contrasted with a control group composed of companies that do not were audited and fined between January 2005 to December 2007. Models for the tax elasticity of the billing were estimated also in segments of activity to verify effects of sectoral tax fine. For the group of companies in various segments was found a moderate impact of the tax fine on the tax elasticity of billing from taxpayers fined. In subgroups, only the Wholesale segment shows the positive impact of tax fine.
Ericsson, Yvonne. "E-fakturans inverkan på integritetskänslig vårdinformation." Thesis, Jönköping University, JIBS, Business Informatics, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-170.
Повний текст джерелаDenna uppsats handlar om integritetskänslig vårdinformation på fakturor, ett ämne som aktualiserats under mitt arbete på landstingets kansli i Jönköping. När en person får vård i annat län än hemlandstinget så skickas en faktura till hemlandstinget och innan dessa fakturor betalas måste de granskas och attesteras. Hanteringen kring detta upplevdes som tidsödande och ineffektiv, vilket ledde mig in på funderingar kring elektronisk fakturering (e-fakturering). Eftersom fakturorna innehåller integritetskänslig information, som personuppgifter och vissa uppgifter som går att koppla till diagnos och behandling, är det inte bara viktigt att hanteringen blir effektiv utan också att sekretessen kan upprätthållas under hela faktureringsprocessen.
I denna undersökning studeras hur hanteringen av integritetskänslig vårdinformation påverkas om fakturahanteringen digitaliseras. Syftet är att göra en jämförelse avseende hantering av sekretess mellan pappersfakturor och digitala e-fakturor. Undersökningen genomfördes med en kvalitativ ansats där en organisation, Jönköpings läns landsting, studerades mer ingående och för datainsamlingen valdes litteraturstudier och intervjuer.
Resultatet visade att sekretessen kring pappersfakturor är en känslig faktor då hanteringen av dessa inte går att spåra och att fakturor lätt kan försvinna inom organisationen. För e-fakturor finns däremot stor möjlighet till spårbarhet och kontroll över händelserna kring hanteringen. Det finns olika typer av e-fakturering och om ett system som till exempel EDI-fakturering väljs kan många uppgifter automatiseras vilket minskar risken för såväl avsiktliga som oavsiktliga sekretessbrott. Om vissa personuppgifter kan döljas innebär det dessutom en än större säkerhet för patienterna. Tekniskt sett finns det alltså många bra lösningar som kan förbättra sekretessen, men mycket av detta är dock endast en efterkontroll över att lagar och regler följs, till exempel sparade uppgifter om vad som har hänt en specifik faktura.
Det största hotet mot sekretess är dock den så kallade mänskliga faktorn. Det går inte att bygga ett informationssystem så att det inte finns den minsta risk för läckor, eftersom det alltid är de personer som hanterar de känsliga uppgifterna som gör att tanken blir till handling. Vissa typer av misstag eller slarv kan förebyggas med teknik, men personalens inställning till sitt eget arbete och det ansvar som det innebär är en grundläggande faktor såväl med pappers- som e-fakturor.
This thesis deals with integrity sensitive healthcare information on invoices, a subject that arose during my work at county council secretariat in Jönköping. When a person gets treatment in another county than the home county the invoice are sent to the home county, but before these invoices are paid, they have to be checked and attested. This handling was experienced as time consuming and ineffective which led me in to some thoughts around electronic billing (e-billing). The invoice contains integrity sensitive information, like personal code numbers and other kind of information, which is possible to connect with diagnosis and treatments. Therefore it is important that the handling becomes effective and that the secrecy can be maintained during the whole billing process.
In this study I discuss how the handling of integrity sensitive healthcare information is influenced if the invoice handling is digitalised. The purpose was to do a comparison the handling of secrecy between paper invoices and digital e-billing. The study was accomplished by a qualitative approach where one organisation, Jönköpings county council, was examined more thorough and for the data collection literature studies and interviews were chosen.
The result showed that the secrecy around paper invoices is a sensitive factor. It is not able to trace the handlings around these documents and an invoice could easily disappear within an organisation. On the contrary, for e-bills there is a large possibility to trace and control the handlings. There are different kinds of e-billing and if a system like for example EDI-billing is chosen, a lot of tasks could be automatized. That will decrease the risk for intentional as well as unintentional secrecy crimes. Furthermore, if some personal information could be hidden, it would mean a better safety for the patients. Technically there are a lot of good solutions that is able to improve the secrecy, but a lot of these are only a recheck that laws and rules are followed, for example saved information about what have happened with a specific invoice.
The biggest threat though is the so called human element. It is impossible to build an information system that contains no leaks, because it is always the persons that are handling the delicate information that makes the thoughts into actions. Some kind of mistakes or carelessness could be prevented by technical solutions, but the staffs’ attitude of their work and the responsibility is a fundamental factor with papers- as well as e-bills.
Тимчук, Микола Іванович, та Mykola Tymchuk. "Методи та засоби побудови білінгових систем з відмовостійкою архітектурою". Master's thesis, Тернопільський національний технічний університет імені Івана Пулюя, 2020. http://elartu.tntu.edu.ua/handle/lib/33328.
Повний текст джерелаThesis deals with the study of methods and means of constractimg a fault-tolerant architecture for billing systems. A comparative analysis of existing software environments and technologies to solve the problem was carried out. As a result, Oralce Golden Gate was selected. Features of installation of Oralce Golden Gate with a configuration of initial and target databases are resulted. The software mechanisms of database replication are described in detail, the procedure for creating an instance of the Oracle database is given. There are also ways to resolve issues and conflicts that may arise when using the development were proposed. Pre-configured Active-Active replication was done. This research work covers a number of important aspects, such as high availability and maximum data protection, fault tolerance, productivity, reduced deployment costs, management and system maintenance.
ЗМІСТ ПЕРЕЛІК УМОВНИХ ПОЗНАЧЕНЬ, СИМВОЛІВ, ОДИНИЦЬ СКОРОЧЕНЬ І ТЕРМІНІВ 6 ВСТУП 9 РОЗДІЛ 1. АНАЛІТИЧНА ЧАСТИНА 12 1.1. Роль білінгу в ІС. 12 1.2. Аналіз основних понять досліджуваної області 16 1.3. Огляд існуючих технологій 20 1.4. Висновки до розділу 23 РОЗДІЛ 2. ТЕОРЕТИЧНА ЧАСТИНА 24 2.1. Характеристика середовища OGG 24 2.1.1. Ключові можливості і технологічні відмінності 25 2.1.2. Використовувані топології 25 2.1.3. Проміжне ПЗ Oracle для BI і ODI 26 2.1.4. Застосування для сховищ даних в режимі РЧ 27 2.1.5. Використання для СУБД Oracle 28 2.1.6. Відмовостійкість 29 2.1.7. Вимоги до системи 30 2.2. Огляд архітектури OGG 30 2.2.1. OGG Capture 32 2.2.2. OGG Trail Files 32 2.2.3. OGG Delivery 33 2.2.4. OGG Manager 34 2.3. Встановлення OGG 35 2.4. Конфігурація вихідної і цільової Oracle БД 37 2.5. Висновки до розділу 38 РОЗДІЛ 3. ПРАКТИЧНА РЕАЛІЗАЦІЯ. 39 3.1. Архітектура БД БС 39 3.2. Захоплення змін та реплікація 40 3.3. Створення OGG екземпляру 47 3.4. Вирішення проблем 51 3.5. Попереднє налаштування Active-Active реплікації 54 3.6. Висновки до розділу 56 РОЗДІЛ 4. ОХОРОНА ПРАЦІ ТА БЕЗПЕКА В НАДЗВИЧАЙНИХ СИТУАЦІЯХ 57 4.1. Охорона праці 57 4.2. Комп’ютерне забезпечення процесу оцінки радіаційної та хімічної обстановки 60 4.3. Висновки до розділу 62 ВИСНОВКИ 63 СПИСОК ВИКОРИСТАНИХ ДЖЕРЕЛ 65 ДОДАТОК А. Тези конференції
Feuchte, Beate. "Billig Nähen für den Weltmarkt - Lebens- und Arbeitsbedingungen der Beschäftigten der bangladeschischen Bekleidungsindustrie eine sozialgeographische Studie." Berlin wvb, Wiss. Verl, 2007. http://www.wvberlin.de/data/inhalt/feuchte.html.
Повний текст джерелаКниги з теми "Billing data"
Coslick, Merlin B. Setting up your medical billing business. 2nd ed. Scotch Plains, N.J: Electronic Medical Billing Network of America, 2001.
Знайти повний текст джерелаE, Thiebaud Maud, ed. Telecommunications billing systems: Implementing and upgrading for profitability. New York: McGraw-Hill, 2003.
Знайти повний текст джерелаTheo, Plesser, and Wittenburg Peter, eds. Forschung und wissenschaftliches Rechnen: Beiträge zum Heinz-Billing-Preis 1994. Göttingen: Gesellschaft für Wissenschaftliche Datenverarbeitung, 1995.
Знайти повний текст джерелаNielsen, Debra M. Medical billing: How to start your own business. [Lakeside, CA: Accuracy Healthcare Billing, 1998.
Знайти повний текст джерелаOffice, General Accounting. Medicare claims: Commercial technology could save billions lost to billing abuse : report to Congressional requesters. Washington, D.C: The Office, 1995.
Знайти повний текст джерелаPress, Entrepreneur, ed. Start your own medical claims billing service. 3rd ed. Irvine, Calif: Entrepreneur Media, 2012.
Знайти повний текст джерелаHallenbeck, Mark E. Ferry systems data, scheduling and billing.: Final report, research project Y-3399-11. [Olympia?, Wash.]: Washington State Dept. of Transportation, Planning, Research and Public Transportation Division, in cooperation with the U.S. Dept. of Transportation, Federal Highway Administration, 1987.
Знайти повний текст джерелаMetcalf, Gilbert E. Measuring the energy savings from home improvement investments: Evidence from monthly billing data. Cambridge, MA: National Bureau of Economic Research, 1997.
Знайти повний текст джерелаAroonruengsawat, Anin, and Maximilian Auffhammer. Impacts of climate change on residential electricity consumption: Evidence from billing data : final paper. Sacramento, Calif.]: California Energy Commission, 2009.
Знайти повний текст джерелаJacobsen, Grant D. Are building codes effective at saving energy?: Evidence from residential billing data in Florida. Cambridge, MA: National Bureau of Economic Research, 2010.
Знайти повний текст джерелаЧастини книг з теми "Billing data"
Bethge, Joseph. "Billing Processes in Personalized Medicine." In High-Performance In-Memory Genome Data Analysis, 101–23. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-03035-7_5.
Повний текст джерелаCrandall, R., K. J. Lynagh, T. Mehoke, and N. Pepper. "Automated Classification of Medical-Billing Data." In IFIP Advances in Information and Communication Technology, 389–99. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23960-1_46.
Повний текст джерелаBęben, Łukasz, and Bartłomiej Śnieżyński. "Multiagent System for Pattern Searching in Billing Data." In Communications in Computer and Information Science, 13–24. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38559-9_2.
Повний текст джерелаViloria, Amelec, Jesús García Guiliany, Nataly Orellano Llinás, Hugo Hernandez-P, Ernesto Steffens Sanabria, and Omar Bonerge Pineda Lezama. "Selecting Electrical Billing Attributes: Big Data Preprocessing Improvements." In Lecture Notes in Electrical Engineering, 455–61. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3125-5_44.
Повний текст джерелаDhianeswar, R., M. Gowtham, and S. Sumathi. "Smart Trolley with Automatic Master Follower and Billing System." In Lecture Notes on Data Engineering and Communications Technologies, 778–91. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-24643-3_92.
Повний текст джерелаHuang, Wenhao, Zhengbin Dong, Nan Zhao, Hao Tian, Guojie Song, Guanhua Chen, Yun Jiang, and Kunqing Xie. "Anchor Points Seeking of Large Urban Crowd Based on the Mobile Billing Data." In Advanced Data Mining and Applications, 346–57. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-17316-5_34.
Повний текст джерелаKwan, Matthew, William Cartwright, and Colin Arrowsmith. "Tracking Movements with Mobile Phone Billing Data: A Case Study with Publicly-Available Data." In Advances in Location-Based Services, 109–17. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-24198-7_7.
Повний текст джерелаHuang, Haowei, Tao Jin, and Jianmin Wang. "Extracting Clinical-event-packages from Billing Data for Clinical Pathway Mining." In Smart Health, 19–31. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-59858-1_3.
Повний текст джерелаMejía-Lavalle, Manuel, and Eduardo F. Morales. "Feature Selection in an Electric Billing Database Considering Attribute Inter-dependencies." In Advances in Data Mining. Applications in Medicine, Web Mining, Marketing, Image and Signal Mining, 284–96. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11790853_23.
Повний текст джерелаBertl, Markus, Peeter Ross, and Dirk Draheim. "Predicting Psychiatric Diseases Using AutoAI: A Performance Analysis Based on Health Insurance Billing Data." In Lecture Notes in Computer Science, 104–11. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-86472-9_9.
Повний текст джерелаТези доповідей конференцій з теми "Billing data"
Xing, Xingxing, Wenhao Huang, Guojie Song, and Kunqing Xie. "Traffic zone division using mobile billing data." In 2014 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD). IEEE, 2014. http://dx.doi.org/10.1109/fskd.2014.6980919.
Повний текст джерелаChrimes, Dillon. "Big data analytics of predicting annual US Medicare billing claims with health services." In 2022 IEEE International Conference on Big Data (Big Data). IEEE, 2022. http://dx.doi.org/10.1109/bigdata55660.2022.10020524.
Повний текст джерелаKolupov, A. E., S. V. Melnik, and N. I. Smirnov. "Time Synchronization and Metrology Aspects for Data Transmission Billing." In 2018 Systems of Signal Synchronization, Generating and Processing in Telecommunications (SYNCHROINFO). IEEE, 2018. http://dx.doi.org/10.1109/synchroinfo.2018.8457038.
Повний текст джерелаFang, Wei, Yali Lin, Juan Yang, and Haoshuang Wang. "A Dynamic Billing Model on Massive Data Analysis Platform." In 2015 IEEE Globecom Workshops (GC Wkshps). IEEE, 2015. http://dx.doi.org/10.1109/glocomw.2015.7414090.
Повний текст джерелаChadha, Raghav, Srishti Kakkar, and Garima Aggarwal. "Automated Shopping and Billing System Using Radio-Frequency Identification." In 2019 9th International Conference on Cloud Computing, Data Science & Engineering (Confluence). IEEE, 2019. http://dx.doi.org/10.1109/confluence.2019.8776944.
Повний текст джерелаPatil, Nikhil V., Rohan S. Kanase, Dnyaneshwar R. Bondar, and P. D. Bamane. "Intelligent energy meter with advanced billing system and electricity theft detection." In 2017 International Conference on Data Management, Analytics and Innovation (ICDMAI). IEEE, 2017. http://dx.doi.org/10.1109/icdmai.2017.8073482.
Повний текст джерелаThummar, Harsh B., Jijesh M. Jangid, and Ashish Patel. "E-Billing System using Smart Energy Meter for Domestic Application." In 2023 International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT). IEEE, 2023. http://dx.doi.org/10.1109/idciot56793.2023.10053452.
Повний текст джерелаAbdullah, Umair, Jamil Ahmad, and Aftab Ahmed. "Analysis of effectiveness of apriori algorithm in medical billing data mining." In 2008 International Conference on Emerging Technologies (ICET). IEEE, 2008. http://dx.doi.org/10.1109/icet.2008.4777523.
Повний текст джерелаHong, Yunguo. "Research and Application of Big Data Technology in Mobile Communication Billing." In Proceedings of the 2018 3rd International Conference on Advances in Materials, Mechatronics and Civil Engineering (ICAMMCE 2018). Paris, France: Atlantis Press, 2018. http://dx.doi.org/10.2991/icammce-18.2018.36.
Повний текст джерелаHong, Yunguo. "Research and Application of Big Data Technology in Mobile Communication Billing." In 2018 3rd International Conference on Humanities Science, Management and Education Technology (HSMET 2018). Paris, France: Atlantis Press, 2018. http://dx.doi.org/10.2991/hsmet-18.2018.161.
Повний текст джерелаЗвіти організацій з теми "Billing data"
Metcalf, Gilbert, and Kevin Hassett. Measuring the Energy Savings from Home Improvement Investments: Evidence from Monthly Billing Data. Cambridge, MA: National Bureau of Economic Research, June 1997. http://dx.doi.org/10.3386/w6074.
Повний текст джерелаJacobsen, Grant, and Matthew Kotchen. Are Building Codes Effective at Saving Energy? Evidence from Residential Billing Data in Florida. Cambridge, MA: National Bureau of Economic Research, July 2010. http://dx.doi.org/10.3386/w16194.
Повний текст джерелаKotchen, Matthew. Do Building Energy Codes Have a Lasting Effect on Energy Consumption? New Evidence From Residential Billing Data in Florida. Cambridge, MA: National Bureau of Economic Research, July 2015. http://dx.doi.org/10.3386/w21398.
Повний текст джерелаHirst, E., and D. White. Indoor temperature changes after retrofit: inferences based on electricity billing data for nonparticipants and participants in the BPA Residential Weatherization Program. Office of Scientific and Technical Information (OSTI), July 1985. http://dx.doi.org/10.2172/5621103.
Повний текст джерелаLeal, Laura, Haaris Mateen, Makoto Nirei, and José Scheinkman. Repricing Avalanches in the Billion-Prices Data. Cambridge, MA: National Bureau of Economic Research, September 2021. http://dx.doi.org/10.3386/w29236.
Повний текст джерелаMascagni, Giulia, Roel Dom, and Fabrizio Santoro. The VAT in Practice: Equity, Enforcement and Complexity. Institute of Development Studies (IDS), January 2021. http://dx.doi.org/10.19088/ictd.2021.002.
Повний текст джерелаCastillo Parrilla, José Antonio. The Legal Regulation of Digital Wealth: Commerce, Ownership and Inheritance of Data. Universitätsbibliothek J. C. Senckenberg, Frankfurt am Main, 2021. http://dx.doi.org/10.21248/gups.64581.
Повний текст джерелаKim, Jinwon, and Jucheol Moon. Congestion Costs and Scheduling Preferences of Car Commuters in California: Estimates Using Big Data. Mineta Transportation Institute, March 2022. http://dx.doi.org/10.31979/mti.2022.2031.
Повний текст джерелаThomas, Catherine, and Lynne Koontz. 2020 national park visitor spending effects: Economic contributions to local communities, states, and the nation. National Park Service, May 2021. http://dx.doi.org/10.36967/nrr-2286547.
Повний текст джерелаTian, Nan, Aude Fleurant, Alexandra Kuimova, Pieter Wezeman, and Siemon Wezeman. Trends in World Military Expenditure, 2018. Stockholm International Peace Research Institute, April 2019. http://dx.doi.org/10.55163/ufdk7864.
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