Relevant bibliographies by topics / Endogenous learning

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
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Academic literature on the topic 'Endogenous learning'

Author: Grafiati
Published: 10 January 2023
Last updated: 31 July 2025

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Journal articles on the topic "Endogenous learning"

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Erutku, Can. "Endogenous Merger with Learning." B.E. Journal of Economic Analysis & Policy 14, no. 3 (2014): 1169–84. http://dx.doi.org/10.1515/bejeap-2013-0101.

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Abstract We look at a concentrated market structure to determine the more likely merger when firms are initially asymmetric. A feature of the analysis is that a high cost firm participating in a merger can learn from the low cost participant. The determination of the equilibrium ownership structure (EOS) rests on the size of the cost asymmetries and learning abilities. Using an endogenous merger model, we find that the EOS always involves a merger between the two most efficient firms. This result holds whether firms adopt a decentralized or centralized structure post-merger and whether learnin
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Easley, David, and Nicholas M. Kiefer. "Optimal Learning with Endogenous Data." International Economic Review 30, no. 4 (1989): 963. http://dx.doi.org/10.2307/2526761.

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Sturzenegger, Federico. "Endogenous learning and trade policy." Economics Letters 49, no. 4 (1995): 429–33. http://dx.doi.org/10.1016/0165-1765(95)00714-q.

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Song, Yangbo. "Social learning with endogenous observation." Journal of Economic Theory 166 (November 2016): 324–33. http://dx.doi.org/10.1016/j.jet.2016.09.005.

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Creane, Anthony. "Endogenous Learning, Learning by Doing and Information Sharing." International Economic Review 36, no. 4 (1995): 985. http://dx.doi.org/10.2307/2527269.

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Fudenberg, Drew, Giacomo Lanzani, and Philipp Strack. "Limit Points of Endogenous Misspecified Learning." Econometrica 89, no. 3 (2021): 1065–98. http://dx.doi.org/10.3982/ecta18508.

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We study how an agent learns from endogenous data when their prior belief is misspecified. We show that only uniform Berk–Nash equilibria can be long‐run outcomes, and that all uniformly strict Berk–Nash equilibria have an arbitrarily high probability of being the long‐run outcome for some initial beliefs. When the agent believes the outcome distribution is exogenous, every uniformly strict Berk–Nash equilibrium has positive probability of being the long‐run outcome for any initial belief. We generalize these results to settings where the agent observes a signal before acting.
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van Marrewijk, C. "Capital accumulation, learning, and endogenous growth." Oxford Economic Papers 51, no. 3 (1999): 453–75. http://dx.doi.org/10.1093/oep/51.3.453.

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CHO, IN-KOO, and KENNETH KASA. "LEARNING DYNAMICS AND ENDOGENOUS CURRENCY CRISES." Macroeconomic Dynamics 12, no. 2 (2008): 257–85. http://dx.doi.org/10.1017/s1365100507070046.

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This paper introduces adaptive learning into the third-generation currency crisis model of Aghion, Bacchetta, and Banerjee (2001, Currency crises and monetary policy in an economy with credit constraints,European Economic Review45, 1121–1150). Adaptive learning might reflect, for example, uncertainty about the economy's exposure to adverse balance sheet effects. Even when equilibrium is unique, we show that the learning algorithm's escape dynamics can produce the same kind of Markov-switching exchange rate behavior that is typically attributed to sunspots or herds. An advantage of our learning
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Börgers, Tilman, and Rajiv Sarin. "Naive Reinforcement Learning With Endogenous Aspirations." International Economic Review 41, no. 4 (2000): 921–50. http://dx.doi.org/10.1111/1468-2354.00090.

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Mandyam, Sridhar, and Usha Sridhar. "Endogenous control of DeGroot belief learning." Social Network Analysis and Mining 3, no. 4 (2013): 803–12. http://dx.doi.org/10.1007/s13278-013-0094-z.

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Dissertations / Theses on the topic "Endogenous learning"

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Gaus, Eric. "Macroeconomic models with endogenous learning." Thesis, University of Oregon, 2010. http://hdl.handle.net/1794/10868.

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xi, 87 p. : ill. A print copy of this thesis is available through the UO Libraries. Search the library catalog for the location and call number.<br>The behavior of the macroeconomy and monetary policy is heavily influenced by expectations. Recent research has explored how minor changes in expectation formation can change the stability properties of a model. One common way to alter expectation formation involves agents' use of econometrics to form forecasting equations. Agents update their forecasts based on new information that arises as the economy progresses through time. In this way agents
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Lutz, Ashley. "Propensity of Endogenous Alternative Splicing to Mediate Mutative Damage." Digital WPI, 2019. https://digitalcommons.wpi.edu/etd-theses/1294.

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The identification of alternative splicing in the human genome elucidated the potential to several enduring genomic questions. Not only could this phenomenon explain why organism complexity was not at all correlated with the genome size, or explain how an organisms could be affected by experience and environment at the molecular level, but it was perhaps the most flexible and adaptive regulatory mechanism identified to date. While the pathogenic aberrations of this mechanism have generally been readily investigated and identified as potential therapeutic targets, its meditative or ad
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Borges, Vigil Fabio Antonio. "The roles of endogenous calcium/calmodulin-dependent kinase II inhibitors in learning and memory." Thesis, King's College London (University of London), 2015. http://kclpure.kcl.ac.uk/portal/en/theses/the-roles-of-endogenous-calciumcalmodulindependent-kinase-ii-inhibitors-in-learning-and-memory(3da1a6e8-261b-4ab5-b63d-3555f01aefef).html.

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Calcium/Calmodulin-dependent kinase II (CaMKII) is a serine/threonine kinase with a wide range of substrates. A number of studies have established that CaMKII is fundamentally important for various learning and memory processes. Given this importance the activity of CaMKII must be tightly regulated. Two endogenous inhibitor proteins of CaMKII, CaMK2N1 and CaMK2N2, have been identified. During contextual fear memory formation CaMK2N1 and CaMK2N2 expression increases in brain regions that are related to the task. However, the functions of CaMK2Ns are still unknown. Our aim was to study the physi
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Provost, Floriane. "Clayey landslide seismology : use of endogenous seismic catalog for understanding the deformation pattern." Thesis, Strasbourg, 2018. http://www.theses.fr/2018STRAH014/document.

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Ce projet de recherche vise à accroître les connaissances sur les mécanismes contrôlant la déformation des glissements de terrain argileux grâce à la combinaison de la surveillance sismique passive et de la surveillance géodésique. Des études récentes ont démontré que la surveillance sismique peut fournir des informations intéressantes sur la mécanique des glissements de terrain et, dans certains cas, fournir des précurseurs utiles pour la prévision des défaillances. L’installation récente de sismomètres sur les glissements de terrain a révélé une variété de signaux sismiques de magnitude (ML
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Kim, Sang-Choon. "Innovation and training in a closed and open economy : implications for learning and economic growth /." Thesis, Connect to this title online; UW restricted, 1999. http://hdl.handle.net/1773/7482.

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Rout, Ullash Kumar. "Modelling of endogenous technological learning of energy technologies - an analysis with a global multi-regional energy system model." [S.l. : s.n.], 2007. http://nbn-resolving.de/urn:nbn:de:bsz:93-opus-32266.

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Gaunersdorfer, Andrea. "Adaptive beliefs and the volatility of asset prices." SFB Adaptive Information Systems and Modelling in Economics and Management Science, WU Vienna University of Economics and Business, 2000. http://epub.wu.ac.at/1250/1/document.pdf.

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I present a simple model of an evolutionary financial market with heterogeneous agents, based on the concept of adaptive belief systems introduced by Brock and Hommes (1997a). Agents choose between different forecast rules based on past performance, resulting in an evolutionary dynamics across predictor choice coupled to the equilibrium dynamics. The model generates endogenous price fluctuations with similar statistical properties as those observed in real return data, such as fat tails and volatility clustering. These similarities are demonstrated for data from the British, German, and Austri
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Dorr, David L. "Enhanced learning performance in the middle school classroom through increased student motivation, by the use of educational software and question-based gaming technology." Thesis, University of North Texas, 2006. https://digital.library.unt.edu/ark:/67531/metadc5613/.

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The purpose of this research was to determine if the introduction of a competitive and collaborative computer-based gaming software system into middle school classrooms would result in improved attendance and grades, and motivate students to have a greater interest in their studies. This study was conducted over a 6 week period, with attendance and performance data being collected from 284 students. Two quantitative surveys were used to measure course interest and motivation: (a) the Course Interest Survey (CIS), and (b) the Instructional Materials Motivation Survey (IMMS). Participation in th
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Ebrahimvandi, Alireza. "Three Essays on Analysis of U.S. Infant Mortality Using Systems and Data Science Approaches." Diss., Virginia Tech, 2020. http://hdl.handle.net/10919/96266.

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High infant mortality (IM) rates in the U.S. have been a major public health concern for decades. Many studies have focused on understanding causes, risk factors, and interventions that can reduce IM. However, death of an infant is the result of the interplay between many risk factors, which in some cases can be traced to the infancy of their parents. Consequently, these complex interactions challenge the effectiveness of many interventions. The long-term goal of this study is to advance the common understanding of effective interventions for improving health outcomes and, in particular, infan
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Faissol, Daniel Mello. "Technology adoption and inequality." Thesis, Atlanta, Ga. : Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/22710.

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Books on the topic "Endogenous learning"

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Kapur, Sandeep. Technological diffusion with endogenous learning. University of Cambridge, Department of Applied Economic s, 1992.

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Trefler, Daniel. The ignorant monopolist: Optimal learning with endogenous information. Dept. of Economics and Institute for Policy Analysis, University of Toronto, 1990.

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(Project), COMPAS, ed. Learning endogenous development: Building on bio-cultural diversity. Practical Action Publishing, 2007.

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Epskamp, Kees P. Learning by performing arts: From indigenous to endogenous cultural development. CESO, 1992.

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Epskamp, Kees. Learning by performing arts: From indigenous to endogenous cultural development. Center for the Study of Education in Developing Countries (CESO), 1992.

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Karshenas, Massoud. The role of exogenous and endogenous learning and economic factors in the diffusion of new technology: An epidemicbased study of the spread of colour television ownership in the UK. University of Warwick Department of Economics, 1990.

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Karshenas, Massoud. The role of exogenous and endogenous learning and economic factors in the diffusion of new technology: Anepidemic based study of the spread of colour television ownership in the UK. University of Warwick, Dept. of Economics, 1990.

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Göcke, Matthias. Learning-by-doing und endogenes Wachstum. Physica-Verlag HD, 2000. http://dx.doi.org/10.1007/978-3-642-57680-5.

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Martinez, Joe L. Jr. Endogenous Peptides and Learning and Memory Processes. Elsevier Science & Technology Books, 2012.

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COMPAS and COMPAS (Project). Learning Endogenous Development: Culture and Worldviews in Practice. Practical Action, 2007.

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Book chapters on the topic "Endogenous learning"

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McNally, Gavan P., and Sindy Cole. "Endogenous Opioids in Fear Learning." In Encyclopedia of the Sciences of Learning. Springer US, 2012. http://dx.doi.org/10.1007/978-1-4419-1428-6_786.

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Mandyam, Sridhar, and Usha Sridhar. "Endogenous Control of DeGroot Learning." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24704-0_8.

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Dannenberg, Dave R., and Michael A. Evans. "Endogenous Learning in Multi User Virtual Environments." In Serious Educational Game Assessment. SensePublishers, 2011. http://dx.doi.org/10.1007/978-94-6091-329-7_12.

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Fagiolo, Giorgio, Luigi Marengo, and Marco Valente. "Population Learning in Random Games with Endogenous Network Formation." In Lecture Notes in Economics and Mathematical Systems. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/3-540-27296-8_11.

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O’Neill, B., Y. Ermoliev, and T. Ermolieva. "Endogenous Risks and Learning in Climate Change Decision Analysis." In Lecture Notes in Economics and Mathematical Systems. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/3-540-35262-7_16.

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Ou, Zhaozun, Yijun Zhao, Jinfeng Wang, and Xiaomei Chen. "Endogenous Group Relationship-Based Graph Contrastive Learning for Recommendation." In Lecture Notes in Computer Science. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-9881-3_2.

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Collard, Fabrice. "Business Cycle and Endogenous Growth: Learning by Doing versus Rationalizing." In Advances in Business Cycle Research. Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/978-3-642-57817-5_10.

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Jungreis, David, Noah Capp, Meysam Golmohammadi, and Joseph Picone. "Predicting Endogenous Bank Health from FDIC Statistics on Depository Institutions Using Deep Learning." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-22871-2_38.

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Lupi, Paolo. "The Propagation of Cooperation in a Spatial Model of Learning with Endogenous Aspirations." In Lecture Notes in Economics and Mathematical Systems. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-642-57005-6_12.

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Nguyen, Hanh thi. "3. Developing Interactional Competence in a Lingua Franca at the Workplace: An Ethnomethodologically Endogenous Account." In Conversation Analytic Perspectives on English Language Learning, Teaching and Testing in Global Contexts, edited by Hanh thi Nguyen and Taiane Malabarba. Multilingual Matters, 2019. http://dx.doi.org/10.21832/9781788922890-005.

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Conference papers on the topic "Endogenous learning"

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Lerede, Daniele, Valeria Di Cosmo, Davide Segantini, and Laura Savoldi. "Endogenous Technology Learning in TEMOA-Europe." In 2024 20th International Conference on the European Energy Market (EEM). IEEE, 2024. http://dx.doi.org/10.1109/eem60825.2024.10608839.

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Sen, Diptangshu, Jingyan Wang, and Juba Ziani. "Equilibria of Data Marketplaces with Privacy-Aware Sellers under Endogenous Privacy Costs." In 2025 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML). IEEE, 2025. https://doi.org/10.1109/satml64287.2025.00037.

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McDonald, Molly A., and Christos T. Maravelias. "Stochastic Programming Models for Long-Term Energy Transition Planning." In Foundations of Computer-Aided Process Design. PSE Press, 2024. http://dx.doi.org/10.69997/sct.107593.

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With growing concern over the effects of green-house gas emissions, there has been an increase in emission-reducing policies by governments around the world, with over 70 countries having set net-zero emission goals by 2050-2060. These are ambitious goals that will require large investments into the expansion of renewable and low-carbon technologies. The decisions about which technologies should be invested in can be difficult to make since they are based on information about the future, which is uncertain. When considering emerging technologies, a source of uncertainty to consider is how the
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Altmeyer, Patrick, Giovan Angela, Aleksander Buszydlik, Karol Dobiczek, Arie van Deursen, and Cynthia C. S. Liem. "Endogenous Macrodynamics in Algorithmic Recourse." In 2023 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML). IEEE, 2023. http://dx.doi.org/10.1109/satml54575.2023.00036.

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Guo, Junli, and Shiyu Yang. "Research on Endogenous Safety and Security Trust." In ICMLCA 2023: 2023 4th International Conference on Machine Learning and Computer Application. ACM, 2023. http://dx.doi.org/10.1145/3650215.3650291.

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Lu, Zhiping, Hongchao Hu, Shumin Huo, and Shuyi Li. "Ensemble Learning Methods of Adversarial Attacks and Defenses in Computer Vision: Recent Progress." In 2021 International Conference on Advanced Computing and Endogenous Security. IEEE, 2022. http://dx.doi.org/10.1109/ieeeconf52377.2022.10013347.

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Jo, YoungJu, Hyungjoo Cho, Wei Sun Park, et al. "Label-free multiplexed microtomography of endogenous subcellular dynamics using generalizable deep learning." In CLEO: Applications and Technology. Optica Publishing Group, 2022. http://dx.doi.org/10.1364/cleo_at.2022.ath2i.6.

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We report a deep-learning-based imaging technique to predict 3D multiplexed fluorescence signals based on label-free refractive index measurements. We demonstrate the retrieval of specific subcellular information without exogenous labeling or staining, enabling multiplexed molecular imaging across various spatiotemporal scales.
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Yao, Zijia, Sunxuan Zhang, Ziqi Yu, Zhenyu Zhou, Shahid Mumtaz, and Xiaoyan Wang. "Endogenous Security-Aware Device Scheduling for Federated Learning-Assisted Low-Carbon Smart Park." In ICC 2023 - IEEE International Conference on Communications. IEEE, 2023. http://dx.doi.org/10.1109/icc45041.2023.10279197.

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Angell, Katherine. "AN EXOGENOUS THREAT THAT LED TO ENDOGENOUS CHANGE: THREE INNOVATIVE PEDAGOGICAL RESPONSES TO TEACHING PRACTICAL COURSES ONLINE DURING COVID-19 LOCKDOWNS." In 14th International Conference on Education and New Learning Technologies. IATED, 2022. http://dx.doi.org/10.21125/edulearn.2022.0084.

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Jianping, Dai. "Mechanism and Path of Integrated Development of Industrial Internet and Manufacturing from the Perspective of Endogenous Growth Theory." In IC4E 2023: 2023 the 14th International Conference on E-Education, E-Business, E-Management and E-Learning. ACM, 2023. http://dx.doi.org/10.1145/3588243.3588244.

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Reports on the topic "Endogenous learning"

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Nordhaus, William. The Perils of the Learning Model For Modeling Endogenous Technological Change. National Bureau of Economic Research, 2009. http://dx.doi.org/10.3386/w14638.

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