Literatura académica sobre el tema "Computational economics"
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Artículos de revistas sobre el tema "Computational economics"
Sadiku, Matthew N. O., Mahamadou Tembely y Sarhan M. Musa. "Computational Economics". International Journal of Engineering Research 6, n.º 11 (2017): 464. http://dx.doi.org/10.5958/2319-6890.2017.00065.4.
Texto completoJudd, Kenneth y Scott E. Page. "Computational Public Economics". Journal of Public Economic Theory 6, n.º 2 (mayo de 2004): 195–202. http://dx.doi.org/10.1111/j.1467-9779.2004.00164.x.
Texto completoTrisetyarso, Agung. "Quantum Computational Economics". Procedia Computer Science 216 (2023): 3. http://dx.doi.org/10.1016/j.procs.2022.12.103.
Texto completoJudd, Kenneth L. "Computational economics and economic theory: Substitutes or complements?" Journal of Economic Dynamics and Control 21, n.º 6 (junio de 1997): 907–42. http://dx.doi.org/10.1016/s0165-1889(97)00010-9.
Texto completoMcAdam, Peter. "Handbook of computational economics". Journal of Economic Dynamics and Control 22, n.º 3 (marzo de 1998): 483–87. http://dx.doi.org/10.1016/s0165-1889(97)00094-8.
Texto completoTesfatsion, Leigh. "Agent-based computational economics". Scholarpedia 2, n.º 2 (2007): 1970. http://dx.doi.org/10.4249/scholarpedia.1970.
Texto completoORUN, EMRE. "Complexity Economics And Agent- Based Computational Economics". Akademi Sosyal Bilimler Dergisi 7, n.º 19 (30 de enero de 2020): 48–62. http://dx.doi.org/10.34189/asbd.7.19.004.
Texto completoMiranda, Mario J. "Teaching Computational Economics in an Applied Economics Program". Computational Economics 25, n.º 3 (junio de 2005): 229–54. http://dx.doi.org/10.1007/s10614-005-2207-x.
Texto completoSchönbucher, Philipp. "Applied Computational Economics and Finance". Journal of the American Statistical Association 99, n.º 466 (junio de 2004): 565–66. http://dx.doi.org/10.1198/jasa.2004.s337.
Texto completoAmman, Hans M. "The JEDC and computational economics". Journal of Economic Dynamics and Control 21, n.º 6 (junio de 1997): 905–6. http://dx.doi.org/10.1016/s0165-1889(97)00009-2.
Texto completoTesis sobre el tema "Computational economics"
Pugh, David. "Essays in computational economics". Thesis, University of Edinburgh, 2014. http://hdl.handle.net/1842/9882.
Texto completoJelonek, Piotr Zbigniew. "Essays on computational economics". Thesis, University of Leicester, 2014. http://hdl.handle.net/2381/28644.
Texto completoGrinis, Inna. "Essays in applied computational economics". Thesis, London School of Economics and Political Science (University of London), 2017. http://etheses.lse.ac.uk/3580/.
Texto completoBalikcioglu, Metin. "Essays on Environmental and Computational Economics". NCSU, 2008. http://www.lib.ncsu.edu/theses/available/etd-12032008-210449/.
Texto completoSchuster, Stephan. "Applications in agent-based computational economics". Thesis, University of Surrey, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.556466.
Texto completoChong, Shi Kai. "A computational approach to urban economics". Thesis, Massachusetts Institute of Technology, 2018. https://hdl.handle.net/1721.1/122318.
Texto completoCataloged from PDF version of thesis.
Includes bibliographical references (pages 89-92).
Cities are home to more than half of the world population today and urbanization is one of this century's biggest drivers of global economic growth. The dynamics of the urban environment is thus an important question to investigate. In this thesis, techniques from statistical modeling, machine learning, data mining and econometrics are utilized to study digital traces of people's everyday lives. In particular, we investigated how people influence the economic growth of cities, as well as how the urban environment affect the decisions made by people. Focusing on the role of cities as centers of consumption, we found that a gravity model based on the availability of a large and diverse pool of amenities accurately explained human flows observed from credit card records. Investigation of the consumption patterns of individuals in Istanbul, Beijing and various metropolitan areas in the United States revealed a positive relationship between the diversity of urban amenities consumed and the city's economic growth. Taking the perspective of cities as hubs for information exchange, we modeled the interactions between individuals in the cities of Beijing and Istanbul using records of their home and work locations and demonstrated how cities which facilitate the mixing of diverse human capital are crucial to the flow of new ideas across communities and their productivity. This contributes to the body of evidence which supports the notion that efficient information exchange is the key factor that drives innovation. To investigate how urban environments shape people's decisions, we study the social influence city dwellers have on each other and showed how face-to-face interaction and information exchange across different residential communities can shape their behavior and increase the similarity of their financial habits and political views in Istanbul.
by Shi Kai Chong.
S.M.
S.M. Massachusetts Institute of Technology, Computation for Design and Optimization Program
Hull, Isaiah. "Essays in Computational Macroeconomics and Finance". Thesis, Boston College, 2013. http://hdl.handle.net/2345/bc-ir:104376.
Texto completoThis dissertation examines three topics in computational macroeconomics and finance. The first two chapters are closely linked; and the third chapter covers a separate topic in finance. Throughout the dissertation, I place a strong emphasis on constructing computational tools and modeling devices; and using them in appropriate applications. The first chapter examines how a central banks choice of interest rate rule impacts the rate of mortgage default and welfare. In this chapter, a quantitative equilibrium (QE) model is constructed that incorporates incomplete markets, aggregate uncertainty, overlapping generations, and realistic mortgage structure. Through a series of counterfactual simulations, five things are demonstrated: 1) nominal interest rate rules that exhibit cyclical behavior increase the average default rate and lower average welfare; 2) welfare can be substantially improved by adopting a modified Taylor rule that stabilizes house prices; 3) a decrease in the length of the interest rate cycle will tend to increase the average default rate; 4) if the business and housing cycles are not aligned, then aggressive inflation targeting will tend to increase the mortgage default rate; and 5) placing a legal cap on loan-to-value ratios will lower the average default rate and lessen the intensity of extreme events. In addition to these findings, this paper also incorporates an important mechanism for default, which had not pre- viously been included in the QE literature: default spikes happen when income falls and home equity is degraded at the same time. The paper concludes with a policy recommendation for central banks: if they wish to crises where many households default simultaneously, they should either adopt a rule that generates interest rates with slow-moving cycles or use a modified Taylor rule that also targets house price growth. The second chapter generalizes the solution method used in the first and compares it to more common techniques used in the computational macroeconomics literature, including the parameterized expectations approach (PEA), projection methods, and value function iteration. In particular, this chapter compares the speed and accuracy of the aforementioned modifications to an alternative method that was introduced separately by Judd (1998), Sutton and Barto (1998), and Van Roy et al. (1997), but was not developed into a general solution method until Powell (2007) introduced it to the Operations Research literature. This approach involves rewriting the Bellman equation in terms of the post-decision state variables, rather than the pre-decision state variables, as is done in standard dynamic programming applications in economics. I show that this approach yields considerable performance benefits over common global solution methods when the state space is large; and has the added benefit of not forcing modelers to assume a data generating process for shocks. In addition to this, I construct two new algorithms that take advantage of this approach to solve heterogenous agent models. Finally, the third chapter imports the SIR model from mathematical epidemiol- ogy; and uses it to construct a model of financial epidemics. In particular, the paper demonstrates how the SIR model can be microfounded in an economic context to make predictions about financial epidemics, such as the spread of asset-backed securities (ABS) and exchange-traded funds (ETFs), the proliferation of zombie financial institutions, and the expansion of financial bubbles and mean-reverting fads. The paper proceeds by developing the 1-host SIR model for economic and financial contexts; and then moves on to demonstrate how to work with the multi-host version of the model. In addition to showing how the SIR framework can be used to model economic interactions, it will also: 1) show how it can be simulated; 2) use it to develop and estimate a sufficient statistic for the spread of a financial epidemic; and 3) show how policymakers can impose the financial analog of herd immunity-that is, prevent the spread of a financial epidemic without completely banning the asset or behavior associated with the epidemic. Importantly, the paper will focus on developing a neutral framework to describe financial epidemics that can be either bad or good. That is, the general framework can be applied to epidemics that constitute a mean-reverting fad or an informational bubble, but ultimately yield little value and shrink in importance; or epidemics that are long-lasting and yield a new financial in- strument that generates permanent efficiency gains or previously unrealized hedging opportunities
Thesis (PhD) — Boston College, 2013
Submitted to: Boston College. Graduate School of Arts and Sciences
Discipline: Economics
Wong, Yiu Kwong. "Application of computational models and qualitative reasoning to economics". Thesis, Heriot-Watt University, 1996. http://hdl.handle.net/10399/688.
Texto completoLupi, Paolo. "The evolution of collusion : three essays in computational economics". Thesis, University of York, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.341598.
Texto completoGao, Lili. "Applications of MachLearning and Computational Linguistics in Financial Economics". Research Showcase @ CMU, 2016. http://repository.cmu.edu/dissertations/815.
Texto completoLibros sobre el tema "Computational economics"
Ruben, Mercado P. y Amman Hans M, eds. Computational economics. Princeton: Princeton University Press, 2006.
Buscar texto completoKendrick, David A. Computational economics. Princeton, N.J: Princeton University Press, 2006.
Buscar texto completoTesfatsion, Leigh. Handbook of Computational Economics: Agent-Based Computational Economics. Burlington: Elsevier, 2006.
Buscar texto completo1959-, Chen Shu-Heng, Jain L. C y Tai Chung-Ching, eds. Computational economics: A perspective from computational intelligence. Hershey PA: Idea Group Pub., 2006.
Buscar texto completoM, Amman Hans, Belsley David A y Pau L. F. 1948-, eds. Computational economics and econometrics. Dordrecht: Kluwer Academic Publishers, 1992.
Buscar texto completoAmman, Hans M., David A. Belsley y Louis F. Pau, eds. Computational Economics and Econometrics. Dordrecht: Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-011-3162-9.
Texto completoVarian, Hal R., ed. Computational Economics and Finance. New York, NY: Springer New York, 1996. http://dx.doi.org/10.1007/978-1-4612-2340-5.
Texto completo1914-, Cooper William W. y Whinston Andrew B, eds. New directions in computational economics. Dordrecht: Kluwer Academic Publishers, 1994.
Buscar texto completoDadkhah, Kamran. Foundations of mathematical & computational economics. Mason, OH: Thomson South-Western, 2007.
Buscar texto completoCooper, W. W. y A. B. Whinston, eds. New Directions in Computational Economics. Dordrecht: Springer Netherlands, 1994. http://dx.doi.org/10.1007/978-94-011-0770-9.
Texto completoCapítulos de libros sobre el tema "Computational economics"
Andrášik, Ladislav. "Computational Qualitative Economics". En Computational Intelligence in Engineering, 247–61. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15220-7_20.
Texto completoMarino, Domenico. "Regional Economic Policy and Computational Economics". En Neural Nets WIRN Vietri-99, 376–90. London: Springer London, 1999. http://dx.doi.org/10.1007/978-1-4471-0877-1_43.
Texto completoLevy, Moshe. "Agent Based Computational Economics". En Computational Complexity, 18–38. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-1800-9_2.
Texto completoHerbert, Ric D. "Computational Programming Environments". En Advances in Computational Economics, 271–96. Boston, MA: Springer US, 2002. http://dx.doi.org/10.1007/978-1-4615-1049-9_10.
Texto completoLevy, Moshe. "Agent Based Computational Economics". En Complex Systems in Finance and Econometrics, 1–21. New York, NY: Springer New York, 2009. http://dx.doi.org/10.1007/978-1-4419-7701-4_1.
Texto completoLevy, Moshe. "Agent-Based Computational Economics". En Encyclopedia of Complexity and Systems Science, 1–30. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-3-642-27737-5_6-7.
Texto completoLevy, Moshe. "Agent Based Computational Economics". En Encyclopedia of Complexity and Systems Science, 92–112. New York, NY: Springer New York, 2009. http://dx.doi.org/10.1007/978-0-387-30440-3_6.
Texto completoLevy, Moshe. "Agent-Based Computational Economics". En Complex Social and Behavioral Systems, 825–49. New York, NY: Springer US, 2020. http://dx.doi.org/10.1007/978-1-0716-0368-0_6.
Texto completoChen, Shu-Heng. "Computational Intelligence in Agent-Based Computational Economics". En Studies in Computational Intelligence, 517–94. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-78293-3_13.
Texto completoDudek, Gregor. "Computational Evaluation". En Lecture Notes in Economics and Mathematical Systems, 165–213. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-662-05443-7_7.
Texto completoActas de conferencias sobre el tema "Computational economics"
Halpern, Joseph Y., Rafael Pass y Lior Seeman. "Computational Extensive-Form Games". En EC '16: ACM Conference on Economics and Computation. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2940716.2940733.
Texto completoYang, Jianhong. "Parametricization of Language Economics in Computational Advertising". En ICEIT 2019: 2019 8th International Conference on Educational and Information Technology. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3318396.3318397.
Texto completoCriner, O. "Control systems identification in finance and economics". En COMPUTATIONAL FINANCE 2008. Southampton, UK: WIT Press, 2008. http://dx.doi.org/10.2495/cf080011.
Texto completoHansen, Kristoffer Arnsfelt y Troels Bjerre Lund. "Computational Complexity of Proper Equilibrium". En EC '18: ACM Conference on Economics and Computation. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3219166.3219199.
Texto completoCai, Yang y Christos Papadimitriou. "Simultaneous bayesian auctions and computational complexity". En EC '14: ACM Conference on Economics and Computation. New York, NY, USA: ACM, 2014. http://dx.doi.org/10.1145/2600057.2602877.
Texto completoEchenique, Federico, Daniel Golovin y Adam Wierman. "A revealed preference approach to computational complexity in economics". En the 12th ACM conference. New York, New York, USA: ACM Press, 2011. http://dx.doi.org/10.1145/1993574.1993591.
Texto completoHu, Chenrui y Ming Zhang. "Fractional High Frequency Cosine and Sine Higher Order Neural Network for Economics". En 2019 International Conference on Computational Science and Computational Intelligence (CSCI). IEEE, 2019. http://dx.doi.org/10.1109/csci49370.2019.00102.
Texto completoSANDHOLM, THOMAS y KEVIN LAI. "EVALUATING DEMAND PREDICTION TECHNIQUES FOR COMPUTATIONAL MARKETS". En Proceedings of the 3rd International Workshop on Grid Economics and Business Models. WORLD SCIENTIFIC, 2006. http://dx.doi.org/10.1142/9789812773470_0001.
Texto completoCarroll, Christopher, Alexander Kaufman, Jacqueline Kazil, Nathan Palmer y Matthew White. "The Econ-ARK and HARK: Open Source Tools for Computational Economics". En Python in Science Conference. SciPy, 2018. http://dx.doi.org/10.25080/majora-4af1f417-004.
Texto completoCai, Rangjia y Haiying Ma. "Thoughts on the Teaching and Methods of Agent-based Computational Economics". En CIPAE 2021: 2021 2nd International Conference on Computers, Information Processing and Advanced Education. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3456887.3456907.
Texto completoInformes sobre el tema "Computational economics"
Judd, Kenneth. Computational Economics and Economic Theory: Substitutes or Complements. Cambridge, MA: National Bureau of Economic Research, febrero de 1997. http://dx.doi.org/10.3386/t0208.
Texto completoHayashi, Tadateru, Sanchita Basu Das, Manbar Singh Khadka, Ikumo Isono, Souknilanh Keola, Kenmei Tsubota y Kazunobu Hayakawa. Economic Impact Analysis of Improved Connectivity in Nepal. Asian Development Bank, noviembre de 2020. http://dx.doi.org/10.22617/wps200312-2.
Texto completoMermelstein, Ben, Volker Nocke, Mark Satterthwaite y Michael Whinston. Internal versus External Growth in Industries with Scale Economies: A Computational Model of Optimal Merger Policy. Cambridge, MA: National Bureau of Economic Research, abril de 2014. http://dx.doi.org/10.3386/w20051.
Texto completoMoreno Pérez, Carlos y Marco Minozzo. “Making Text Talk”: The Minutes of the Central Bank of Brazil and the Real Economy. Madrid: Banco de España, noviembre de 2022. http://dx.doi.org/10.53479/23646.
Texto completoMehmood, Hamid, Surya Karthik Mukkavilli, Ingmar Weber, Atsushi Koshio, Chinaporn Meechaiya, Thanapon Piman, Kenneth Mubea, Cecilia Tortajada, Kimberly Mahadeo y Danielle Liao. Strategic Foresight to Applications of Artificial Intelligence to Achieve Water-related Sustainable Development Goals. United Nations University Institute for Water, Environment and Health, abril de 2020. http://dx.doi.org/10.53328/lotc2968.
Texto completoWu, Yingjie, Selim Gunay y Khalid Mosalam. Hybrid Simulations for the Seismic Evaluation of Resilient Highway Bridge Systems. Pacific Earthquake Engineering Research Center, University of California, Berkeley, CA, noviembre de 2020. http://dx.doi.org/10.55461/ytgv8834.
Texto completoOr, Etti, David Galbraith y Anne Fennell. Exploring mechanisms involved in grape bud dormancy: Large-scale analysis of expression reprogramming following controlled dormancy induction and dormancy release. United States Department of Agriculture, diciembre de 2002. http://dx.doi.org/10.32747/2002.7587232.bard.
Texto completoCOMPLETE SET ROTATION-LIFTING CONSTRUCTION TECHNOLOGY FOR FREE-FORM SURFACE ROOF STRUCTURES WITH LARGE ELEVATION DIFFERENCE. The Hong Kong Institute of Steel Construction, agosto de 2022. http://dx.doi.org/10.18057/icass2020.p.618.
Texto completoSECOND-ORDER DIRECT ANALYSIS FOR STEEL H-PILES ACCOUNTING FOR POST-DRIVING RESIDUAL STRESSES. The Hong Kong Institute of Steel Construction, agosto de 2022. http://dx.doi.org/10.18057/icass2020.p.349.
Texto completoAfrican Open Science Platform Part 1: Landscape Study. Academy of Science of South Africa (ASSAf), 2019. http://dx.doi.org/10.17159/assaf.2019/0047.
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