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Books on the topic 'Foresight model'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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1

Inshakova, Agnessa O., and Elena I. Inshakova, eds. Competitive Russia: Foresight Model of Economic and Legal Development in the Digital Age. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-45913-0.

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2

Sheen, Jeffrey. Inflation, debt and fiscal policy attitudes in a perfect foresight model with transactions costs. University of Essex, Dept. of Economics, 1985.

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3

Rankin, Neil. On the extension of the "correspondence principle" to perfect foresight models. University of London.Queen Mary College. Department of Economics, 1986.

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4

LugoSantiago, José A. Leadership and Strategic Foresight in Smart Cities: A Futures Thinking Model. Palgrave Macmillan, 2020.

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5

LugoSantiago, José A. Leadership and Strategic Foresight in Smart Cities: A Futures Thinking Model. Springer International Publishing AG, 2021.

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6

Rohrbeck, René. Corporate Foresight: Towards a Maturity Model for the Future Orientation of a Firm. Physica-Verlag, 2010.

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7

Corporate Foresight: Towards a Maturity Model for the Future Orientation of a Firm. Physica, 2013.

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8

Inshakova, Agnessa O., and Elena I. Inshakova. Competitive Russia : Foresight Model of Economic and Legal Development in the Digital Age: Proceedings of the International Scientific Conference in ... Springer, 2020.

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9

Chang, Myong-Hun. Computational Industrial Economics. Edited by Shu-Heng Chen, Mak Kaboudan, and Ye-Rong Du. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780199844371.013.42.

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Approach to Dynamic Analysis in Industrial Organization This chapter offers a basic agent-based computational model of industry dynamics that allows us to study the evolving industry structure through entry and exit of heterogeneous firms. The field of modern industrial economics focuses on the structure and performance of the industry in equilibrium when firms make decisions in an optimizing way, typically with perfect foresight. The patterns that arise in the process of adjustment, induced by persistent external shocks, are often ignored for lack of a proper tool for analysis. The model intr
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10

Juillard, Michel. Dynamic Stochastic General Equilibrium Models. Edited by Shu-Heng Chen, Mak Kaboudan, and Ye-Rong Du. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780199844371.013.4.

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Dynamic Stochastic General Equilibrium (DSGE) models have become popular in macroeconomics, but the combination of nonlinear microeconomic behavior of the agents and model-consistent expectations raise intricate computational issues; this chapter reviews solution methods and estimation of DSGE models. Perfect foresight deterministic models can easily be solved with a great degree of accuracy. In practice, medium-sized stochastic models can only be solved by local approximation or the perturbation approach. The Bayesian approach to estimation is privileged. It provides a convenient way to commu
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11

Environmental foresight and models: A manifesto. Elsevier, 2002.

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12

Environmental Foresight and Models - A Manifesto. Elsevier, 2002. http://dx.doi.org/10.1016/s0167-8892(02)x8001-4.

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13

Beck, M. B. Environmental Foresight and Models: A Manifesto. Elsevier Science & Technology Books, 2002.

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14

Beck, M. B. Environmental Foresight and Models (Developments in Environmental Modelling). Elsevier Science, 2002.

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15

Beck, M. B. Environmental Foresight and Models (Developments in Environmental Modelling). Elsevier Science, 2002.

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