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Artykuły w czasopismach na temat "Computational economics"
Sadiku, Matthew N. O., Mahamadou Tembely i Sarhan M. Musa. "Computational Economics". International Journal of Engineering Research 6, nr 11 (2017): 464. http://dx.doi.org/10.5958/2319-6890.2017.00065.4.
Pełny tekst źródłaJudd, Kenneth, i Scott E. Page. "Computational Public Economics". Journal of Public Economic Theory 6, nr 2 (maj 2004): 195–202. http://dx.doi.org/10.1111/j.1467-9779.2004.00164.x.
Pełny tekst źródłaTrisetyarso, Agung. "Quantum Computational Economics". Procedia Computer Science 216 (2023): 3. http://dx.doi.org/10.1016/j.procs.2022.12.103.
Pełny tekst źródłaJudd, Kenneth L. "Computational economics and economic theory: Substitutes or complements?" Journal of Economic Dynamics and Control 21, nr 6 (czerwiec 1997): 907–42. http://dx.doi.org/10.1016/s0165-1889(97)00010-9.
Pełny tekst źródłaMcAdam, Peter. "Handbook of computational economics". Journal of Economic Dynamics and Control 22, nr 3 (marzec 1998): 483–87. http://dx.doi.org/10.1016/s0165-1889(97)00094-8.
Pełny tekst źródłaTesfatsion, Leigh. "Agent-based computational economics". Scholarpedia 2, nr 2 (2007): 1970. http://dx.doi.org/10.4249/scholarpedia.1970.
Pełny tekst źródłaORUN, EMRE. "Complexity Economics And Agent- Based Computational Economics". Akademi Sosyal Bilimler Dergisi 7, nr 19 (30.01.2020): 48–62. http://dx.doi.org/10.34189/asbd.7.19.004.
Pełny tekst źródłaMiranda, Mario J. "Teaching Computational Economics in an Applied Economics Program". Computational Economics 25, nr 3 (czerwiec 2005): 229–54. http://dx.doi.org/10.1007/s10614-005-2207-x.
Pełny tekst źródłaSchönbucher, Philipp. "Applied Computational Economics and Finance". Journal of the American Statistical Association 99, nr 466 (czerwiec 2004): 565–66. http://dx.doi.org/10.1198/jasa.2004.s337.
Pełny tekst źródłaAmman, Hans M. "The JEDC and computational economics". Journal of Economic Dynamics and Control 21, nr 6 (czerwiec 1997): 905–6. http://dx.doi.org/10.1016/s0165-1889(97)00009-2.
Pełny tekst źródłaRozprawy doktorskie na temat "Computational economics"
Pugh, David. "Essays in computational economics". Thesis, University of Edinburgh, 2014. http://hdl.handle.net/1842/9882.
Pełny tekst źródłaJelonek, Piotr Zbigniew. "Essays on computational economics". Thesis, University of Leicester, 2014. http://hdl.handle.net/2381/28644.
Pełny tekst źródłaGrinis, Inna. "Essays in applied computational economics". Thesis, London School of Economics and Political Science (University of London), 2017. http://etheses.lse.ac.uk/3580/.
Pełny tekst źródłaBalikcioglu, Metin. "Essays on Environmental and Computational Economics". NCSU, 2008. http://www.lib.ncsu.edu/theses/available/etd-12032008-210449/.
Pełny tekst źródłaSchuster, Stephan. "Applications in agent-based computational economics". Thesis, University of Surrey, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.556466.
Pełny tekst źródłaChong, Shi Kai. "A computational approach to urban economics". Thesis, Massachusetts Institute of Technology, 2018. https://hdl.handle.net/1721.1/122318.
Pełny tekst źródłaCataloged 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.
Pełny tekst źródłaThis 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.
Pełny tekst źródłaLupi, 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.
Pełny tekst źródłaGao, Lili. "Applications of MachLearning and Computational Linguistics in Financial Economics". Research Showcase @ CMU, 2016. http://repository.cmu.edu/dissertations/815.
Pełny tekst źródłaKsiążki na temat "Computational economics"
Ruben, Mercado P., i Amman Hans M, red. Computational economics. Princeton: Princeton University Press, 2006.
Znajdź pełny tekst źródłaKendrick, David A. Computational economics. Princeton, N.J: Princeton University Press, 2006.
Znajdź pełny tekst źródłaTesfatsion, Leigh. Handbook of Computational Economics: Agent-Based Computational Economics. Burlington: Elsevier, 2006.
Znajdź pełny tekst źródła1959-, Chen Shu-Heng, Jain L. C i Tai Chung-Ching, red. Computational economics: A perspective from computational intelligence. Hershey PA: Idea Group Pub., 2006.
Znajdź pełny tekst źródłaM, Amman Hans, Belsley David A i Pau L. F. 1948-, red. Computational economics and econometrics. Dordrecht: Kluwer Academic Publishers, 1992.
Znajdź pełny tekst źródłaAmman, Hans M., David A. Belsley i Louis F. Pau, red. Computational Economics and Econometrics. Dordrecht: Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-011-3162-9.
Pełny tekst źródłaVarian, Hal R., red. Computational Economics and Finance. New York, NY: Springer New York, 1996. http://dx.doi.org/10.1007/978-1-4612-2340-5.
Pełny tekst źródła1914-, Cooper William W., i Whinston Andrew B, red. New directions in computational economics. Dordrecht: Kluwer Academic Publishers, 1994.
Znajdź pełny tekst źródłaDadkhah, Kamran. Foundations of mathematical & computational economics. Mason, OH: Thomson South-Western, 2007.
Znajdź pełny tekst źródłaCooper, W. W., i A. B. Whinston, red. New Directions in Computational Economics. Dordrecht: Springer Netherlands, 1994. http://dx.doi.org/10.1007/978-94-011-0770-9.
Pełny tekst źródłaCzęści książek na temat "Computational economics"
Andrášik, Ladislav. "Computational Qualitative Economics". W Computational Intelligence in Engineering, 247–61. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15220-7_20.
Pełny tekst źródłaMarino, Domenico. "Regional Economic Policy and Computational Economics". W Neural Nets WIRN Vietri-99, 376–90. London: Springer London, 1999. http://dx.doi.org/10.1007/978-1-4471-0877-1_43.
Pełny tekst źródłaLevy, Moshe. "Agent Based Computational Economics". W Computational Complexity, 18–38. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-1800-9_2.
Pełny tekst źródłaHerbert, Ric D. "Computational Programming Environments". W Advances in Computational Economics, 271–96. Boston, MA: Springer US, 2002. http://dx.doi.org/10.1007/978-1-4615-1049-9_10.
Pełny tekst źródłaLevy, Moshe. "Agent Based Computational Economics". W 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.
Pełny tekst źródłaLevy, Moshe. "Agent-Based Computational Economics". W 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.
Pełny tekst źródłaLevy, Moshe. "Agent Based Computational Economics". W 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.
Pełny tekst źródłaLevy, Moshe. "Agent-Based Computational Economics". W 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.
Pełny tekst źródłaChen, Shu-Heng. "Computational Intelligence in Agent-Based Computational Economics". W Studies in Computational Intelligence, 517–94. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-78293-3_13.
Pełny tekst źródłaDudek, Gregor. "Computational Evaluation". W 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.
Pełny tekst źródłaStreszczenia konferencji na temat "Computational economics"
Halpern, Joseph Y., Rafael Pass i Lior Seeman. "Computational Extensive-Form Games". W EC '16: ACM Conference on Economics and Computation. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2940716.2940733.
Pełny tekst źródłaYang, Jianhong. "Parametricization of Language Economics in Computational Advertising". W 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.
Pełny tekst źródłaCriner, O. "Control systems identification in finance and economics". W COMPUTATIONAL FINANCE 2008. Southampton, UK: WIT Press, 2008. http://dx.doi.org/10.2495/cf080011.
Pełny tekst źródłaHansen, Kristoffer Arnsfelt, i Troels Bjerre Lund. "Computational Complexity of Proper Equilibrium". W EC '18: ACM Conference on Economics and Computation. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3219166.3219199.
Pełny tekst źródłaCai, Yang, i Christos Papadimitriou. "Simultaneous bayesian auctions and computational complexity". W EC '14: ACM Conference on Economics and Computation. New York, NY, USA: ACM, 2014. http://dx.doi.org/10.1145/2600057.2602877.
Pełny tekst źródłaEchenique, Federico, Daniel Golovin i Adam Wierman. "A revealed preference approach to computational complexity in economics". W the 12th ACM conference. New York, New York, USA: ACM Press, 2011. http://dx.doi.org/10.1145/1993574.1993591.
Pełny tekst źródłaHu, Chenrui, i Ming Zhang. "Fractional High Frequency Cosine and Sine Higher Order Neural Network for Economics". W 2019 International Conference on Computational Science and Computational Intelligence (CSCI). IEEE, 2019. http://dx.doi.org/10.1109/csci49370.2019.00102.
Pełny tekst źródłaSANDHOLM, THOMAS, i KEVIN LAI. "EVALUATING DEMAND PREDICTION TECHNIQUES FOR COMPUTATIONAL MARKETS". W Proceedings of the 3rd International Workshop on Grid Economics and Business Models. WORLD SCIENTIFIC, 2006. http://dx.doi.org/10.1142/9789812773470_0001.
Pełny tekst źródłaCarroll, Christopher, Alexander Kaufman, Jacqueline Kazil, Nathan Palmer i Matthew White. "The Econ-ARK and HARK: Open Source Tools for Computational Economics". W Python in Science Conference. SciPy, 2018. http://dx.doi.org/10.25080/majora-4af1f417-004.
Pełny tekst źródłaCai, Rangjia, i Haiying Ma. "Thoughts on the Teaching and Methods of Agent-based Computational Economics". W 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.
Pełny tekst źródłaRaporty organizacyjne na temat "Computational economics"
Judd, Kenneth. Computational Economics and Economic Theory: Substitutes or Complements. Cambridge, MA: National Bureau of Economic Research, luty 1997. http://dx.doi.org/10.3386/t0208.
Pełny tekst źródłaHayashi, Tadateru, Sanchita Basu Das, Manbar Singh Khadka, Ikumo Isono, Souknilanh Keola, Kenmei Tsubota i Kazunobu Hayakawa. Economic Impact Analysis of Improved Connectivity in Nepal. Asian Development Bank, listopad 2020. http://dx.doi.org/10.22617/wps200312-2.
Pełny tekst źródłaMermelstein, Ben, Volker Nocke, Mark Satterthwaite i 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, kwiecień 2014. http://dx.doi.org/10.3386/w20051.
Pełny tekst źródłaMoreno Pérez, Carlos, i Marco Minozzo. “Making Text Talk”: The Minutes of the Central Bank of Brazil and the Real Economy. Madrid: Banco de España, listopad 2022. http://dx.doi.org/10.53479/23646.
Pełny tekst źródłaMehmood, Hamid, Surya Karthik Mukkavilli, Ingmar Weber, Atsushi Koshio, Chinaporn Meechaiya, Thanapon Piman, Kenneth Mubea, Cecilia Tortajada, Kimberly Mahadeo i 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, kwiecień 2020. http://dx.doi.org/10.53328/lotc2968.
Pełny tekst źródłaWu, Yingjie, Selim Gunay i Khalid Mosalam. Hybrid Simulations for the Seismic Evaluation of Resilient Highway Bridge Systems. Pacific Earthquake Engineering Research Center, University of California, Berkeley, CA, listopad 2020. http://dx.doi.org/10.55461/ytgv8834.
Pełny tekst źródłaOr, Etti, David Galbraith i 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, grudzień 2002. http://dx.doi.org/10.32747/2002.7587232.bard.
Pełny tekst źródłaCOMPLETE SET ROTATION-LIFTING CONSTRUCTION TECHNOLOGY FOR FREE-FORM SURFACE ROOF STRUCTURES WITH LARGE ELEVATION DIFFERENCE. The Hong Kong Institute of Steel Construction, sierpień 2022. http://dx.doi.org/10.18057/icass2020.p.618.
Pełny tekst źródłaSECOND-ORDER DIRECT ANALYSIS FOR STEEL H-PILES ACCOUNTING FOR POST-DRIVING RESIDUAL STRESSES. The Hong Kong Institute of Steel Construction, sierpień 2022. http://dx.doi.org/10.18057/icass2020.p.349.
Pełny tekst źródłaAfrican 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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