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Hans Amman

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Blog mentions

As found by EconAcademics.org, the blog aggregator for Economics research:
  1. Author Profile
    1. Volunteer recognition: Thomas Krichel
      by Christian Zimmermann in RePEc blog on 2008-02-21 22:30:00

Working papers

  1. Hans M. Amman & Marco Paolo Tucci, 2018. "How active is active learning: value function method vs an approximation method," Department of Economics University of Siena 788, Department of Economics, University of Siena.

    Cited by:

    1. D. Blueschke & I. Savin & V. Blueschke-Nikolaeva, 2020. "An Evolutionary Approach to Passive Learning in Optimal Control Problems," Computational Economics, Springer;Society for Computational Economics, vol. 56(3), pages 659-673, October.

  2. Hans M. Amman & Marco P. Tucci, 2017. "The DUAL Approach in an Infinite Horizon Model," Department of Economics University of Siena 766, Department of Economics, University of Siena.

    Cited by:

    1. Hans M. Amman & Marco Paolo Tucci, 2018. "How active is active learning: value function method vs an approximation method," Department of Economics University of Siena 788, Department of Economics, University of Siena.
    2. Amman, Hans M. & Kendrick, David A. & Tucci, Marco P., 2020. "Approximating The Value Function For Optimal Experimentation," Macroeconomic Dynamics, Cambridge University Press, vol. 24(5), pages 1073-1086, July.

  3. M.P. Tucci & D.A. Kendrick & H.M. Amman, 2011. "Expected optimal feedback with Time-Varying Parameters," Working Papers 11-18, Utrecht School of Economics.

    Cited by:

    1. Tucci, Marco P. & Kendrick, David A. & Amman, Hans M., 2010. "The parameter set in an adaptive control Monte Carlo experiment: Some considerations," Journal of Economic Dynamics and Control, Elsevier, vol. 34(9), pages 1531-1549, September.
    2. D.A. Kendrick & H.M. Amman & M.P. Tucci, 2008. "Learning About Learning in Dynamic Economic Models," Working Papers 08-20, Utrecht School of Economics.

  4. D.A. Kendrick & H.M. Amman, 2011. "A Taylor Rule for Fiscal Policy," Working Papers 11-17, Utrecht School of Economics.

    Cited by:

    1. Przybylska-Mazur Agnieszka, 2018. "Types of Government Deficit in Respect of Fiscal Decision-Making," Financial Sciences. Nauki o Finansach, Sciendo, vol. 23(2), pages 60-74, June.

  5. Marco P. Tucci & David A. Kendrick & Hans M. Amman, 2010. "The parameter set in an adaptive control Monte Carlo experiment: Some considerations," Post-Print hal-00732676, HAL.

    Cited by:

    1. Peter John Robinson & W.J.W. Botzen & F. Zhou, 2019. "An experimental study of charity hazard: The effect of risky and ambiguous government compensation on flood insurance demand," Working Papers 19-19, Utrecht School of Economics.
    2. Hans M. Amman & Marco Paolo Tucci, 2018. "How active is active learning: value function method vs an approximation method," Department of Economics University of Siena 788, Department of Economics, University of Siena.
    3. D.A. Kendrick & H.M. Amman & M.P. Tucci, 2008. "Learning About Learning in Dynamic Economic Models," Working Papers 08-20, Utrecht School of Economics.
    4. D.A. Kendrick & H.M. Amman, 2008. "Comparison of Policy Functions from the Optimal Learning and Adaptive Control Frameworks," Working Papers 08-19, Utrecht School of Economics.
    5. Amman, Hans M. & Kendrick, David A. & Tucci, Marco P., 2020. "Approximating The Value Function For Optimal Experimentation," Macroeconomic Dynamics, Cambridge University Press, vol. 24(5), pages 1073-1086, July.
    6. Hans M. Amman & Marco P. Tucci, 2020. "How Active is Active Learning: Value Function Method Versus an Approximation Method," Computational Economics, Springer;Society for Computational Economics, vol. 56(3), pages 675-693, October.
    7. Kwang Mong Sim, 2023. "An Incentive-Compatible and Computationally Efficient Fog Bargaining Mechanism," Computational Economics, Springer;Society for Computational Economics, vol. 62(4), pages 1883-1918, December.
    8. H.M. Amman & D.A. Kendrick, 2012. "Conjectures on the policy function in the presence of optimal experimentation," Working Papers 12-09, Utrecht School of Economics.
    9. D. Blueschke & I. Savin & V. Blueschke-Nikolaeva, 2020. "An Evolutionary Approach to Passive Learning in Optimal Control Problems," Computational Economics, Springer;Society for Computational Economics, vol. 56(3), pages 659-673, October.
    10. Ivan Savin & Dmitri Blueschke, 2013. "Solving nonlinear stochastic optimal control problems using evolutionary heuristic optimization," Jena Economics Research Papers 2013-051, Friedrich-Schiller-University Jena.
    11. Ivan Savin & Dmitri Blueschke, 2016. "Lost in Translation: Explicitly Solving Nonlinear Stochastic Optimal Control Problems Using the Median Objective Value," Computational Economics, Springer;Society for Computational Economics, vol. 48(2), pages 317-338, August.
    12. Hans M. Amman & Marco P. Tucci, 2017. "The DUAL Approach in an Infinite Horizon Model," Department of Economics University of Siena 766, Department of Economics, University of Siena.
    13. D. Blueschke & V. Blueschke-Nikolaeva & R. Neck, 2013. "Stochastic Control of Linear and Nonlinear Econometric Models: Some Computational Aspects," Computational Economics, Springer;Society for Computational Economics, vol. 42(1), pages 107-118, June.

  6. D.A. Kendrick & H.M. Amman, 2008. "Comparison of Policy Functions from the Optimal Learning and Adaptive Control Frameworks," Working Papers 08-19, Utrecht School of Economics.

    Cited by:

    1. Amman, Hans M. & Kendrick, David A. & Tucci, Marco P., 2020. "Approximating The Value Function For Optimal Experimentation," Macroeconomic Dynamics, Cambridge University Press, vol. 24(5), pages 1073-1086, July.
    2. H.M. Amman & D.A. Kendrick, 2012. "Conjectures on the policy function in the presence of optimal experimentation," Working Papers 12-09, Utrecht School of Economics.
    3. George E. Halkos & Kyriaki D. Tsilika, 2021. "Towards Better Computational Tools for Effective Environmental Policy Planning," Computational Economics, Springer;Society for Computational Economics, vol. 58(3), pages 555-572, October.

  7. D.A. Kendrick & H.M. Amman & M.P. Tucci, 2008. "Learning About Learning in Dynamic Economic Models," Working Papers 08-20, Utrecht School of Economics.

    Cited by:

    1. H.M. Amman & D.A. Kendrick, 2012. "Conjectures on the policy function in the presence of optimal experimentation," Working Papers 12-09, Utrecht School of Economics.
    2. Tim Willems, 2017. "Actively Learning by Pricing: A Model of an Experimenting Seller," Economic Journal, Royal Economic Society, vol. 127(604), pages 2216-2239, September.

  8. Hans Amman & David Kendrick & Ruben Mercado, 2004. "Computational Economics: Help for the Underestimated Undergraduate," Computing in Economics and Finance 2004 347, Society for Computational Economics.

    Cited by:

    1. Ann L Owen, 2007. "Integrating Computer Applications Into Economics Electives," International Review of Economic Education, Economics Network, University of Bristol, vol. 6(1), pages 77-92.

  9. Hans Amman & Floortje Alkemade & Han la Poutre, 2003. "Intermediaries in an Electronic Trade Network," Computing in Economics and Finance 2003 6, Society for Computational Economics.

    Cited by:

    1. Davies, G.J. & Kendall, G. & Soane, Emma & Li, J. & Rocks, S.A. & Jude, S.R. & Pollard, S.J.T., 2014. "Regulators as agents: modelling personality and power as evidence is brokered to support decisions on environmental risk," LSE Research Online Documents on Economics 51229, London School of Economics and Political Science, LSE Library.
    2. Halkos, George & Tsilika, Kyriaki, 2016. "Assessing classical input output structures with trade networks: A graph theory approach," MPRA Paper 72511, University Library of Munich, Germany.
    3. George E. Halkos & Kyriaki D. Tsilika, 2016. "Trading Structures for Regional Economies in CAS Software," Computational Economics, Springer;Society for Computational Economics, vol. 48(3), pages 523-533, October.
    4. George Halkos & Shunsuke Managi & Kyriaki Tsilika, 2021. "Ranking Countries and Geographical Regions in the International Green Bond Transfer Network: A Computational Weighted Network Approach," Computational Economics, Springer;Society for Computational Economics, vol. 58(4), pages 1301-1346, December.
    5. George E. Halkos & Kyriaki D. Tsilika, 2018. "A New Vision of Classical Multi-regional Input–Output Models," Computational Economics, Springer;Society for Computational Economics, vol. 51(3), pages 571-594, March.

  10. Hans M. Amman & David A. Kendrick, 2003. "A Classification System for Economic Stochastic Control Models," Computing in Economics and Finance 2003 114, Society for Computational Economics.

    Cited by:

    1. Frank Hespeler, 2007. "Solution Algorithm to a Class of Monetary Rational Equilibrium Macromodels with Optimal Monetary Policy Design," EcoMod2007 23900036, EcoMod.
    2. Blueschke-Nikolaeva, V. & Blueschke, D. & Neck, R., 2012. "Optimal control of nonlinear dynamic econometric models: An algorithm and an application," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3230-3240.
    3. Tucci, Marco P. & Kendrick, David A. & Amman, Hans M., 2010. "The parameter set in an adaptive control Monte Carlo experiment: Some considerations," Journal of Economic Dynamics and Control, Elsevier, vol. 34(9), pages 1531-1549, September.
    4. D.A. Kendrick & H.M. Amman & M.P. Tucci, 2008. "Learning About Learning in Dynamic Economic Models," Working Papers 08-20, Utrecht School of Economics.
    5. Ilias Kostarakos & Stelios Kotsios, 2018. "Fiscal Policy Design in Greece in the Aftermath of the Crisis: An Algorithmic Approach," Computational Economics, Springer;Society for Computational Economics, vol. 51(4), pages 893-911, April.
    6. Seong-Hoon Kim, 2012. "Sequential Action and Beliefs Under Partially Observable DSGE Environments," Computational Economics, Springer;Society for Computational Economics, vol. 40(3), pages 219-244, October.
    7. Arnulfo Rodriguez, 2004. "Robust Control: A Note on the Timing of Model Uncertainty," Computing in Economics and Finance 2004 147, Society for Computational Economics.
    8. Crowley, Patrick M. & Hudgins, David, 2017. "Wavelet-based monetary and fiscal policy in the Euro area," Journal of Policy Modeling, Elsevier, vol. 39(2), pages 206-231.
    9. Crowley, Patrick M. & Hudgins, David, 2015. "Fiscal policy tracking design in the time–frequency domain using wavelet analysis," Economic Modelling, Elsevier, vol. 51(C), pages 502-514.
    10. Arnulfo Rodriguez, 2004. "Robust Control: A Note on the Timing of Model Uncertainty," Computational Economics, Springer;Society for Computational Economics, vol. 24(3), pages 209-221, July.
    11. Kendrick, David A., 2005. "Stochastic control for economic models: past, present and the paths ahead," Journal of Economic Dynamics and Control, Elsevier, vol. 29(1-2), pages 3-30, January.
    12. D. Blueschke & I. Savin & V. Blueschke-Nikolaeva, 2020. "An Evolutionary Approach to Passive Learning in Optimal Control Problems," Computational Economics, Springer;Society for Computational Economics, vol. 56(3), pages 659-673, October.
    13. Crowley, Patrick M. & Hudgins, David, 2015. "Euro area monetary and fiscal policy tracking design in the time-frequency domain," Bank of Finland Research Discussion Papers 12/2015, Bank of Finland.
    14. mercado, p. ruben & porta, fernando, 2012. "Development planning in the xxi century? a note on old and new methods and tools," MPRA Paper 58610, University Library of Munich, Germany.
    15. D. Blueschke & V. Blueschke-Nikolaeva & R. Neck, 2013. "Stochastic Control of Linear and Nonlinear Econometric Models: Some Computational Aspects," Computational Economics, Springer;Society for Computational Economics, vol. 42(1), pages 107-118, June.

  11. F. Alkemade & H. M. Amman & J. A. La Poutre, 2002. "The Role of Information in an Electronic Trade Network," Computing in Economics and Finance 2002 376, Society for Computational Economics.

    Cited by:

    1. Halkos, George & Tsilika, Kyriaki, 2016. "Climate change impacts: Understanding the synergetic interactions using graph computing," MPRA Paper 75037, University Library of Munich, Germany.
    2. Halkos, George & Tsilika, Kyriaki, 2016. "Assessing classical input output structures with trade networks: A graph theory approach," MPRA Paper 72511, University Library of Munich, Germany.
    3. George E. Halkos & Kyriaki D. Tsilika, 2016. "Trading Structures for Regional Economies in CAS Software," Computational Economics, Springer;Society for Computational Economics, vol. 48(3), pages 523-533, October.
    4. George E. Halkos & Kyriaki D. Tsilika, 2018. "A New Vision of Classical Multi-regional Input–Output Models," Computational Economics, Springer;Society for Computational Economics, vol. 51(3), pages 571-594, March.

  12. Hans Amman & David Kendrick, 2000. "Mitigation Of The Lucas Critique With Stochastic Control Methods," Computing in Economics and Finance 2000 182, Society for Computational Economics.

    Cited by:

    1. Halkos, George E. & Tsilika, Kyriaki D., 2017. "Climate change effects and their interactions: An analysis aiming at policy implications," Economic Analysis and Policy, Elsevier, vol. 53(C), pages 140-146.
    2. Stephen J. Turnovsky, 2011. "Stabilization Theory and Policy: 50 Years after the Phillips Curve," Economica, London School of Economics and Political Science, vol. 78(309), pages 67-88, January.
    3. D.A. Kendrick & H.M. Amman & M.P. Tucci, 2008. "Learning About Learning in Dynamic Economic Models," Working Papers 08-20, Utrecht School of Economics.
    4. Amman, Hans M. & Kendrick, David A. & Tucci, Marco P., 2020. "Approximating The Value Function For Optimal Experimentation," Macroeconomic Dynamics, Cambridge University Press, vol. 24(5), pages 1073-1086, July.
    5. Guhl, Daniel & Baumgartner, Bernhard & Kneib, Thomas & Steiner, Winfried J., 2018. "Estimating time-varying parameters in brand choice models: A semiparametric approach," International Journal of Research in Marketing, Elsevier, vol. 35(3), pages 394-414.
    6. David Kendrick & George Shoukry, 2014. "Quarterly Fiscal Policy Experiments with a Multiplier-Accelerator Model," Computational Economics, Springer;Society for Computational Economics, vol. 44(3), pages 269-293, October.
    7. Halkos, George & Tsilika, Kyriaki, 2016. "Climate change impacts: Understanding the synergetic interactions using graph computing," MPRA Paper 75037, University Library of Munich, Germany.
    8. H.M. Amman & D.A. Kendrick, 2012. "Conjectures on the policy function in the presence of optimal experimentation," Working Papers 12-09, Utrecht School of Economics.
    9. D. Blueschke & I. Savin & V. Blueschke-Nikolaeva, 2020. "An Evolutionary Approach to Passive Learning in Optimal Control Problems," Computational Economics, Springer;Society for Computational Economics, vol. 56(3), pages 659-673, October.
    10. Athanasiou, George & Kotsios, Stelios, 2008. "An algorithmic approach to exchange rate stabilization," Economic Modelling, Elsevier, vol. 25(6), pages 1246-1260, November.
    11. Ilias Kostarakos & Stelios Kotsios, 2017. "Feedback policy rules for government spending: an algorithmic approach," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 6(1), pages 1-10, December.

  13. Hans M. Amman & David A. Kendrick, 1997. "Linear Quadratic Optimization for Models with Rational Expectations," CARE Working Papers 9708, The University of Texas at Austin, Center for Applied Research in Economics.

    Cited by:

    1. Mercado, Ruben & Kendrick, David, 1998. "Hall and Taylor´s and John Taylor´s Model in DUALI," MPRA Paper 111974, University Library of Munich, Germany.
    2. George Halkos & Kyriaki Tsilika, 2016. "Dynamic Input–Output Models in Environmental Problems: A Computational Approach with CAS Software," Computational Economics, Springer;Society for Computational Economics, vol. 47(3), pages 489-497, March.
    3. D.A. Kendrick & H.M. Amman & M.P. Tucci, 2008. "Learning About Learning in Dynamic Economic Models," Working Papers 08-20, Utrecht School of Economics.
    4. Amman, Hans M. & Kendrick, David A. & Tucci, Marco P., 2020. "Approximating The Value Function For Optimal Experimentation," Macroeconomic Dynamics, Cambridge University Press, vol. 24(5), pages 1073-1086, July.
    5. David Kendrick & George Shoukry, 2014. "Quarterly Fiscal Policy Experiments with a Multiplier-Accelerator Model," Computational Economics, Springer;Society for Computational Economics, vol. 44(3), pages 269-293, October.
    6. Amman, Hans M. & Kendrick, David A., 2003. "Mitigation of the Lucas critique with stochastic control methods," Journal of Economic Dynamics and Control, Elsevier, vol. 27(11), pages 2035-2057.
    7. Ray Fair, 2001. "Optimal Control and Stochastic Simulation of Large Nonlinear Models with Rational Expectations," Yale School of Management Working Papers ysm202, Yale School of Management, revised 24 Sep 2001.
    8. Kendrick, David A., 2005. "Stochastic control for economic models: past, present and the paths ahead," Journal of Economic Dynamics and Control, Elsevier, vol. 29(1-2), pages 3-30, January.
    9. Ray Fair, 2003. "Optimal Control and Stochastic Simulation of Large Nonlinear Models with Rational Expectations," Computational Economics, Springer;Society for Computational Economics, vol. 21(3), pages 245-256, June.
    10. Hans M. Amman & David A. Kendrick, 1997. "Computing the Steady State of Linear Quadratic Optimization Models with Rational Expectations," CARE Working Papers 9707, The University of Texas at Austin, Center for Applied Research in Economics.
    11. Pedro Francisco Páez, 2005. "Are the Washington Consensus Policies Sustainable? Game Theoretical Assessment for the Case of Ecuador," Working Paper Series, Department of Economics, University of Utah 2005_07, University of Utah, Department of Economics.
    12. Richard Dennis, 2001. "Optimal policy in rational-expectations models: new solution algorithms," Working Paper Series 2001-09, Federal Reserve Bank of San Francisco.
    13. Francesco Carravetta & Marco Sorge, 2010. "A “Nearly Ideal” Solution to Linear Time-Varying Rational Expectations Models," Computational Economics, Springer;Society for Computational Economics, vol. 35(4), pages 331-353, April.
    14. H. M. Amman & D. A. Kendrick, 2000. "Stochastic Policy Design in a Learning Environment with Rational Expectations," Journal of Optimization Theory and Applications, Springer, vol. 105(3), pages 509-520, June.

  14. Hans M. Amman & David A. Kendrick, 1997. "Computing the Steady State of Linear Quadratic Optimization Models with Rational Expectations," CARE Working Papers 9707, The University of Texas at Austin, Center for Applied Research in Economics.

    Cited by:

    1. Frank Hespeler, 2007. "Solution Algorithm to a Class of Monetary Rational Equilibrium Macromodels with Optimal Monetary Policy Design," EcoMod2007 23900036, EcoMod.
    2. Mercado, Ruben & Kendrick, David, 1998. "Hall and Taylor´s and John Taylor´s Model in DUALI," MPRA Paper 111974, University Library of Munich, Germany.
    3. George Halkos & Kyriaki Tsilika, 2016. "Dynamic Input–Output Models in Environmental Problems: A Computational Approach with CAS Software," Computational Economics, Springer;Society for Computational Economics, vol. 47(3), pages 489-497, March.
    4. Amman, Hans M. & Kendrick, David A., 2003. "Mitigation of the Lucas critique with stochastic control methods," Journal of Economic Dynamics and Control, Elsevier, vol. 27(11), pages 2035-2057.
    5. Hans M. Amman & David A. Kendrick, 1997. "Linear Quadratic Optimization for Models with Rational Expectations," CARE Working Papers 9708, The University of Texas at Austin, Center for Applied Research in Economics.
    6. Walter Alt & C. Yalçın Kaya & Christopher Schneider, 2016. "Dualization and discretization of linear-quadratic control problems with bang–bang solutions," EURO Journal on Computational Optimization, Springer;EURO - The Association of European Operational Research Societies, vol. 4(1), pages 47-77, February.
    7. H. M. Amman & D. A. Kendrick, 2000. "Stochastic Policy Design in a Learning Environment with Rational Expectations," Journal of Optimization Theory and Applications, Springer, vol. 105(3), pages 509-520, June.

  15. Hans M. Amman & David A. Kendrick, 1997. "Teaching Macroeconomics with Gams," CARE Working Papers 9702, The University of Texas at Austin, Center for Applied Research in Economics.

    Cited by:

    1. Mercado, Ruben & Kendrick, David, 1998. "Hall and Taylor´s and John Taylor´s Model in DUALI," MPRA Paper 111974, University Library of Munich, Germany.
    2. David A. Kendrick, 2006. "Teaching Computational Economics to Graduate Students," Computing in Economics and Finance 2006 36, Society for Computational Economics.
    3. David Kendrick & P. Mercado & Hans Amman, 2006. "Computational Economics: Help for the Underestimated Undergraduate," Computational Economics, Springer;Society for Computational Economics, vol. 27(2), pages 261-271, May.
    4. Angel Asensio & Sébastien Charles & Edwin Le Héron & Dany Lang, 2011. "Recent developments in Post-Keynesian modeling [Los desarrollos recientes de la macroeconomía post-keynesiana]," Post-Print halshs-00664867, HAL.
    5. Kendrick, David A., 2005. "Stochastic control for economic models: past, present and the paths ahead," Journal of Economic Dynamics and Control, Elsevier, vol. 29(1-2), pages 3-30, January.
    6. Aftab, Ashar & Hanley, Nick & Baiocchi, Giovanni, 2017. "Transferability of Policies to Control Agricultural Nonpoint Pollution in Relatively Similar Catchments," Ecological Economics, Elsevier, vol. 134(C), pages 11-21.
    7. Asensio, Angel & Charles, Sébastien & Lang, Dany & Le Heron, Edwin, 2011. "Les développements récents de la macroéconomie post-keynésienne," Revue de la Régulation - Capitalisme, institutions, pouvoirs, Association Recherche et Régulation, vol. 10.
    8. P. Ruben Mercado, 2001. "Macroeconomic Volatility during Argentina's Import Substitution Stage," International Review of Applied Economics, Taylor & Francis Journals, vol. 15(2), pages 151-161.

  16. Hans M. Amman & David A. Kendrick, 1996. "The DUALI/DUALPC Software for Optimal Control Models: Introduction," CARE Working Papers 9602, The University of Texas at Austin, Center for Applied Research in Economics.

    Cited by:

    1. Benigno, Pierpaolo & Woodford, Michael, 2012. "Linear-quadratic approximation of optimal policy problems," Journal of Economic Theory, Elsevier, vol. 147(1), pages 1-42.
    2. P. Ruben Mercado, 2001. "The Timing of Uncertainty and The Intensity of Policy," Computing in Economics and Finance 2001 55, Society for Computational Economics.
    3. D.A. Kendrick & H.M. Amman & M.P. Tucci, 2008. "Learning About Learning in Dynamic Economic Models," Working Papers 08-20, Utrecht School of Economics.
    4. D.A. Kendrick & H.M. Amman, 2008. "Comparison of Policy Functions from the Optimal Learning and Adaptive Control Frameworks," Working Papers 08-19, Utrecht School of Economics.
    5. Arnulfo Rodriguez, 2004. "Robust Control: A Note on the Timing of Model Uncertainty," Computing in Economics and Finance 2004 147, Society for Computational Economics.
    6. Fidel Gonzalez & Arnulfo Rodriguez, 2004. "Robust Control: A Note on the Response of the Control to Changes in the “Free” Parameter Conditional on the Character of Nature," Computational Economics, Springer;Society for Computational Economics, vol. 24(3), pages 223-238, March.
    7. Hans M. Amman & David A. Kendrick, 1997. "Teaching Macroeconomics with Gams," CARE Working Papers 9702, The University of Texas at Austin, Center for Applied Research in Economics.
    8. Hans M. Amman & David A. Kendrick, 1997. "Linear Quadratic Optimization for Models with Rational Expectations," CARE Working Papers 9708, The University of Texas at Austin, Center for Applied Research in Economics.
    9. P. Ruben Mercado & David A. Kendrick, 1997. "TAYGAMS: John Taylor's Two-Country Model in GAMS," CARE Working Papers 9703, The University of Texas at Austin, Center for Applied Research in Economics.
    10. Mercado, P. Ruben & Kendrick, David A., 2000. "Caution in macroeconomic policy: uncertainty and the relative intensity of policy," Economics Letters, Elsevier, vol. 68(1), pages 37-41, July.

  17. Hans M. Amman & David A. Kendrick, 1995. "Programming Languages in Economics," CARE Working Papers 9504, The University of Texas at Austin, Center for Applied Research in Economics.

    Cited by:

    1. Rodolphe Buda, 2013. "SIMUL 3.2: An Econometric Tool for Multidimensional Modelling," Computational Economics, Springer;Society for Computational Economics, vol. 41(4), pages 517-524, April.
    2. Buda, Rodolphe, 2005. "Numerical Analysis in Econom(etr)ic Softwares: the Data-Memory Shortage Management," MPRA Paper 9145, University Library of Munich, Germany, revised 2007.
    3. Charles G. Renfro, 2009. "The Practice of Econometric Theory," Advanced Studies in Theoretical and Applied Econometrics, Springer, number 978-3-540-75571-5.
    4. Vieira, Wilson da Cruz & Lelis, Levi H. Santana de, 2005. "Programming languages in economics: a comparison among Fortran77, C++, and Java," Revista de Economia e Agronegócio / Brazilian Review of Economics and Agribusiness, Federal University of Vicosa, Department of Agricultural Economics, vol. 3(3), pages 1-16.
    5. Francisco Cribari-Neto & Spyros Zarkos, 2003. "Econometric and Statistical Computing Using Ox," Computational Economics, Springer;Society for Computational Economics, vol. 21(3), pages 277-295, June.
    6. Kendrick, David A., 2005. "Stochastic control for economic models: past, present and the paths ahead," Journal of Economic Dynamics and Control, Elsevier, vol. 29(1-2), pages 3-30, January.
    7. mercado, p. ruben, 2003. "Empirical economywide modeling in argentina," MPRA Paper 58611, University Library of Munich, Germany.
    8. Álvaro Andrés PERDOMO STRAUCH, 2008. "Modelo Estándar de Equilibrio General Computable," Archivos de Economía 4943, Departamento Nacional de Planeación.
    9. Halkos, George & Tsilika, Kyriaki, 2016. "Measures of correlation and computer algebra," MPRA Paper 70200, University Library of Munich, Germany.
    10. Buda, Rodolphe, 2001. "Les algorithmes de la modélisation : une analyse critique pour la modélisation économique," MPRA Paper 3926, University Library of Munich, Germany, revised Jul 2004.
    11. George E. Halkos & Kyriaki D. Tsilika, 2018. "Programming Correlation Criteria with free CAS Software," Computational Economics, Springer;Society for Computational Economics, vol. 52(1), pages 299-311, June.
    12. Rodolphe Buda, 2015. "Data Checking and Econometric Software Development: A Technique of Traceability by Fictive Data Encoding," Computational Economics, Springer;Society for Computational Economics, vol. 46(2), pages 325-357, August.
    13. Simon Peters & Ken Clark & Pascal Ekin & Anja Le Blanc & Stephen Pickles, 2007. "Grid Enabling Empirical Economics: A Microdata Application," Computational Economics, Springer;Society for Computational Economics, vol. 30(4), pages 349-370, November.

  18. Hans M. Amman & David Kendrick, "undated". "Should Macroeconomic Policy Makers Consider Parameter Covariances?," Computing in Economics and Finance 1997 8, Society for Computational Economics.

    Cited by:

    1. Blueschke-Nikolaeva, V. & Blueschke, D. & Neck, R., 2012. "Optimal control of nonlinear dynamic econometric models: An algorithm and an application," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3230-3240.
    2. P. Ruben Mercado, 2001. "The Timing of Uncertainty and The Intensity of Policy," Computing in Economics and Finance 2001 55, Society for Computational Economics.
    3. Halkos, George E. & Tsilika, Kyriaki D., 2017. "Climate change effects and their interactions: An analysis aiming at policy implications," Economic Analysis and Policy, Elsevier, vol. 53(C), pages 140-146.
    4. Mercado, Ruben & Kendrick, David, 1998. "Hall and Taylor´s and John Taylor´s Model in DUALI," MPRA Paper 111974, University Library of Munich, Germany.
    5. D.A. Kendrick & H.M. Amman & M.P. Tucci, 2008. "Learning About Learning in Dynamic Economic Models," Working Papers 08-20, Utrecht School of Economics.
    6. Fidel Gonzalez, 2008. "Optimal Policy Response with Control Parameter and Intercept Covariance," Computational Economics, Springer;Society for Computational Economics, vol. 31(1), pages 1-20, February.
    7. Hans M. Amman & David A. Kendrick, 2003. "A Classification System for Economic Stochastic Control Models," Computing in Economics and Finance 2003 114, Society for Computational Economics.
    8. P. Mercado & David Kendrick, 2006. "Parameter Uncertainty and Policy Intensity: Some Extensions and Suggestions for Further Work," Computational Economics, Springer;Society for Computational Economics, vol. 27(4), pages 483-496, June.
    9. Reinhard Neck & Sohbet Karbuz, 2017. "Dynamic Optimization under Uncertainty: A Case Study for Austrian Macroeconomic Policies," Proceedings of International Academic Conferences 5808250, International Institute of Social and Economic Sciences.
    10. Kendrick, David A., 2005. "Stochastic control for economic models: past, present and the paths ahead," Journal of Economic Dynamics and Control, Elsevier, vol. 29(1-2), pages 3-30, January.
    11. Halkos, George & Tsilika, Kyriaki, 2016. "Climate change impacts: Understanding the synergetic interactions using graph computing," MPRA Paper 75037, University Library of Munich, Germany.
    12. Dag Kolsrud, 2008. "Stochastic Ceteris Paribus Simulations," Computational Economics, Springer;Society for Computational Economics, vol. 31(1), pages 21-43, February.
    13. Mercado, P. Ruben & Kendrick, David A., 2000. "Caution in macroeconomic policy: uncertainty and the relative intensity of policy," Economics Letters, Elsevier, vol. 68(1), pages 37-41, July.
    14. George E. Halkos & Kyriaki D. Tsilika, 2021. "Towards Better Computational Tools for Effective Environmental Policy Planning," Computational Economics, Springer;Society for Computational Economics, vol. 58(3), pages 555-572, October.
    15. D.A. Kendrick & H.M. Amman, 2011. "A Taylor Rule for Fiscal Policy," Working Papers 11-17, Utrecht School of Economics.
    16. Pedro Francisco Páez, 2005. "Are the Washington Consensus Policies Sustainable? Game Theoretical Assessment for the Case of Ecuador," Working Paper Series, Department of Economics, University of Utah 2005_07, University of Utah, Department of Economics.
    17. George Halkos & Georgia Argyropoulou, 2021. "Pollution and Health Effects: A Nonparametric Approach," Computational Economics, Springer;Society for Computational Economics, vol. 58(3), pages 691-714, October.
    18. Reinhard Neck & Gottfried Haber & Klaus Weyerstrass, 2010. "Optimal Deterministic and Stochastic Macroeconomic Policies for Slovenia: An Application of the OPTCON Algorithm," Computational Economics, Springer;Society for Computational Economics, vol. 36(1), pages 37-45, June.

  19. Hans M. Amman & David A. Kendrick & Heinz Neudecker, "undated". "Numerical Steady State Solutions for Nonlinear Dynamic Optimization Models," Computing in Economics and Finance 1996 _003, Society for Computational Economics.

    Cited by:

    1. George Halkos & Kyriaki Tsilika, 2016. "Dynamic Input–Output Models in Environmental Problems: A Computational Approach with CAS Software," Computational Economics, Springer;Society for Computational Economics, vol. 47(3), pages 489-497, March.
    2. Arnulfo Rodriguez, 2004. "Robust Control: A Note on the Timing of Model Uncertainty," Computing in Economics and Finance 2004 147, Society for Computational Economics.
    3. P. Mercado & David Kendrick, 2006. "Parameter Uncertainty and Policy Intensity: Some Extensions and Suggestions for Further Work," Computational Economics, Springer;Society for Computational Economics, vol. 27(4), pages 483-496, June.
    4. Arnulfo Rodriguez, 2004. "Robust Control: A Note on the Timing of Model Uncertainty," Computational Economics, Springer;Society for Computational Economics, vol. 24(3), pages 209-221, July.
    5. Hans M. Amman & David A. Kendrick, 1997. "Computing the Steady State of Linear Quadratic Optimization Models with Rational Expectations," CARE Working Papers 9707, The University of Texas at Austin, Center for Applied Research in Economics.

Articles

  1. Amman, Hans M. & Kendrick, David A. & Tucci, Marco P., 2020. "Approximating The Value Function For Optimal Experimentation," Macroeconomic Dynamics, Cambridge University Press, vol. 24(5), pages 1073-1086, July.

    Cited by:

    1. Hans M. Amman & Marco Paolo Tucci, 2018. "How active is active learning: value function method vs an approximation method," Department of Economics University of Siena 788, Department of Economics, University of Siena.

  2. Kendrick David A. & Amman Hans M., 2014. "Quarterly Fiscal Policy," The Economists' Voice, De Gruyter, vol. 11(1), pages 7-12, November.

    Cited by:

    1. Ilias Kostarakos & Stelios Kotsios, 2018. "Fiscal Policy Design in Greece in the Aftermath of the Crisis: An Algorithmic Approach," Computational Economics, Springer;Society for Computational Economics, vol. 51(4), pages 893-911, April.
    2. David Hudgins & Patrick M. Crowley, 2019. "Stress-Testing U.S. Macroeconomic Policy: A Computational Approach Using Stochastic and Robust Designs in a Wavelet-Based Optimal Control Framework," Computational Economics, Springer;Society for Computational Economics, vol. 53(4), pages 1509-1546, April.
    3. Patrick M. Crowley & David Hudgins, 2018. "What is the right balance between US monetary and fiscal policy? Explorations using simulated wavelet-based optimal tracking control," Empirical Economics, Springer, vol. 55(4), pages 1537-1568, December.
    4. Ilias Kostarakos & Stelios Kotsios, 2017. "Feedback policy rules for government spending: an algorithmic approach," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 6(1), pages 1-10, December.

  3. Hans Amman & David Kendrick, 2014. "Comparison of policy functions from the optimal learning and adaptive control frameworks," Computational Management Science, Springer, vol. 11(3), pages 221-235, July.
    See citations under working paper version above.
  4. Marco Tucci & David Kendrick & Hans Amman, 2013. "Expected Optimal Feedback with Time-Varying Parameters," Computational Economics, Springer;Society for Computational Economics, vol. 42(3), pages 351-371, October.
    See citations under working paper version above.
  5. Tucci, Marco P. & Kendrick, David A. & Amman, Hans M., 2010. "The parameter set in an adaptive control Monte Carlo experiment: Some considerations," Journal of Economic Dynamics and Control, Elsevier, vol. 34(9), pages 1531-1549, September.
    See citations under working paper version above.
  6. Floortje Alkemade & Han Poutré & Hans Amman, 2009. "Robust Evolutionary Algorithm Design for Socio-Economic Simulation: A Correction," Computational Economics, Springer;Society for Computational Economics, vol. 33(1), pages 99-101, February.

    Cited by:

    1. Waltman, L. & van Eck, N.J.P. & Dekker, R. & Kaymak, U., 2009. "Economic Modeling Using Evolutionary Algorithms: The Effect of a Binary Encoding of Strategies," ERIM Report Series Research in Management ERS-2009-028-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    2. Michael K. Maschek, 2015. "Particle Swarm Optimization in Agent‐Based Economic Simulations of the Cournot Market Model," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 22(2), pages 133-152, April.
    3. Waltman, L. & van Eck, N.J.P., 2009. "A Mathematical Analysis of the Long-run Behavior of Genetic Algorithms for Social Modeling," ERIM Report Series Research in Management ERS-2009-011-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.

  7. David Kendrick & P. Mercado & Hans Amman, 2006. "Computational Economics: Help for the Underestimated Undergraduate," Computational Economics, Springer;Society for Computational Economics, vol. 27(2), pages 261-271, May.
    See citations under working paper version above.
  8. David Kendrick & Hans Amman, 2006. "A Classification System for Economic Stochastic Control Models," Computational Economics, Springer;Society for Computational Economics, vol. 27(4), pages 453-481, June.
    See citations under working paper version above.
  9. Floortje Alkemade & Han Poutré & Hans Amman, 2006. "Robust Evolutionary Algorithm Design for Socio-economic Simulation," Computational Economics, Springer;Society for Computational Economics, vol. 28(4), pages 355-370, November.

    Cited by:

    1. Waltman, L. & van Eck, N.J.P. & Dekker, R. & Kaymak, U., 2009. "Economic Modeling Using Evolutionary Algorithms: The Effect of a Binary Encoding of Strategies," ERIM Report Series Research in Management ERS-2009-028-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    2. Ludo Waltman & Nees Eck, 2009. "Robust Evolutionary Algorithm Design for Socio-Economic Simulation: Some Comments," Computational Economics, Springer;Society for Computational Economics, vol. 33(1), pages 103-105, February.
    3. Jasmina Arifovic & Michael Maschek, 2006. "Revisiting Individual Evolutionary Learning in the Cobweb Model – An Illustration of the Virtual Spite-Effect," Computational Economics, Springer;Society for Computational Economics, vol. 28(4), pages 333-354, November.
    4. Christopher N. Boyer & B. Wade Brorsen & James R. Fain, 2015. "Private‐Value Auction Versus Posted‐Price Selling: An Agent‐Based Model Approach," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 22(4), pages 249-262, October.
    5. Steven Kimbrough & Frederic Murphy, 2009. "Learning to Collude Tacitly on Production Levels by Oligopolistic Agents," Computational Economics, Springer;Society for Computational Economics, vol. 33(1), pages 47-78, February.
    6. Michael K. Maschek, 2015. "Particle Swarm Optimization in Agent‐Based Economic Simulations of the Cournot Market Model," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 22(2), pages 133-152, April.
    7. Tong Zhang & B. Brorsen, 2009. "Particle Swarm Optimization Algorithm for Agent-Based Artificial Markets," Computational Economics, Springer;Society for Computational Economics, vol. 34(4), pages 399-417, November.
    8. Waltman, L. & van Eck, N.J.P., 2009. "A Mathematical Analysis of the Long-run Behavior of Genetic Algorithms for Social Modeling," ERIM Report Series Research in Management ERS-2009-011-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    9. Jarosław Stańczak, 2009. "Application of an evolutionary algorithm to simulation of the CO2 emission permits market with purchase prices," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 19(4), pages 93-108.

  10. Amman, Hans M. & Duraiappah, Anantha Kumar, 2004. "Land tenure and conflict resolution: a game theoretic approach in the Narok district in Kenya," Environment and Development Economics, Cambridge University Press, vol. 9(3), pages 383-407, July.

    Cited by:

    1. Halkos, George E. & Tsilika, Kyriaki D., 2017. "Climate change effects and their interactions: An analysis aiming at policy implications," Economic Analysis and Policy, Elsevier, vol. 53(C), pages 140-146.
    2. Kihiu, Evelyne Nyathira & Amuakwa-Mensah, Franklin, 2017. "Improving Access to Livestock Markets for Sustainable Rangeland Management," African Journal of Economic Review, African Journal of Economic Review, vol. 5(2), July.
    3. Muawanah, Umi, 2015. "Does Land Conflict Matter to Farm Productivity? A Case Study of Cambodia," Asian Journal of Agriculture and Development, Southeast Asian Regional Center for Graduate Study and Research in Agriculture (SEARCA), vol. 15(2), December.
    4. Halkos, George & Tsilika, Kyriaki, 2016. "Climate change impacts: Understanding the synergetic interactions using graph computing," MPRA Paper 75037, University Library of Munich, Germany.
    5. Kihiu, Evelyne Nyathira, 2016. "Basic capability effect: Collective management of pastoral resources in southwestern Kenya," Ecological Economics, Elsevier, vol. 123(C), pages 23-34.

  11. Amman, Hans M. & Kendrick, David A., 2003. "Mitigation of the Lucas critique with stochastic control methods," Journal of Economic Dynamics and Control, Elsevier, vol. 27(11-12), pages 2035-2057, September.
    See citations under working paper version above.
  12. Amman, Hans M & Duraiappah, Anantha Kumar, 2001. "Modeling Instrumental Rationality, Land Tenure and Conflict Resolution," Computational Economics, Springer;Society for Computational Economics, vol. 18(3), pages 251-257, December.

    Cited by:

    1. Jing Zhang & Yan Chen & Congmou Zhu & Bingbing Huang & Muye Gan, 2021. "Identification of Potential Land-Use Conflicts between Agricultural and Ecological Space in an Ecologically Fragile Area of Southeastern China," Land, MDPI, vol. 10(10), pages 1-18, September.
    2. Zuzy Anna & Purna Hindayani & Asep Agus Handaka Suryana & Yudi Nurul Ihsan & Asia Salsabila, 2020. "Sustainability Study of Scalloped Hammerhead Shark ( Sphyrna lewini ) in Indramayu Waters," Sustainability, MDPI, vol. 12(24), pages 1-13, December.
    3. Yanru Zhao & Xiaomin Zhao & Xinyi Huang & Jiaxin Guo & Guohui Chen, 2022. "Identifying a Period of Spatial Land Use Conflicts and Their Driving Forces in the Pearl River Delta," Sustainability, MDPI, vol. 15(1), pages 1-17, December.

  13. H. M. Amman & D. A. Kendrick, 2000. "Stochastic Policy Design in a Learning Environment with Rational Expectations," Journal of Optimization Theory and Applications, Springer, vol. 105(3), pages 509-520, June.

    Cited by:

    1. Blueschke-Nikolaeva, V. & Blueschke, D. & Neck, R., 2012. "Optimal control of nonlinear dynamic econometric models: An algorithm and an application," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3230-3240.
    2. Hans M. Amman & David A. Kendrick, 2003. "A Classification System for Economic Stochastic Control Models," Computing in Economics and Finance 2003 114, Society for Computational Economics.
    3. Kwang Mong Sim, 2023. "An Incentive-Compatible and Computationally Efficient Fog Bargaining Mechanism," Computational Economics, Springer;Society for Computational Economics, vol. 62(4), pages 1883-1918, December.
    4. Kendrick, David A., 2005. "Stochastic control for economic models: past, present and the paths ahead," Journal of Economic Dynamics and Control, Elsevier, vol. 29(1-2), pages 3-30, January.
    5. George E. Halkos & Kyriaki D. Tsilika, 2021. "Towards Better Computational Tools for Effective Environmental Policy Planning," Computational Economics, Springer;Society for Computational Economics, vol. 58(3), pages 555-572, October.
    6. George Halkos & Georgia Argyropoulou, 2021. "Pollution and Health Effects: A Nonparametric Approach," Computational Economics, Springer;Society for Computational Economics, vol. 58(3), pages 691-714, October.
    7. D. Blueschke & V. Blueschke-Nikolaeva & R. Neck, 2013. "Stochastic Control of Linear and Nonlinear Econometric Models: Some Computational Aspects," Computational Economics, Springer;Society for Computational Economics, vol. 42(1), pages 107-118, June.

  14. Amman, Hans M & Kendrick, David A, 1999. "Should Macroeconomic Policy Makers Consider Parameter Covariances?," Computational Economics, Springer;Society for Computational Economics, vol. 14(3), pages 263-267, December.
    See citations under working paper version above.
  15. Amman, Hans & Kendrick, David, 1999. "Linear-Quadratic Optimization For Models With Rational Expectations," Macroeconomic Dynamics, Cambridge University Press, vol. 3(4), pages 534-543, December.
    See citations under working paper version above.
  16. Alvarez, Francisco & Amman, Hans, 1999. "Learning-by-Doing under Uncertainty," Computational Economics, Springer;Society for Computational Economics, vol. 14(3), pages 255-262, December.

    Cited by:

    1. Ratbek Dzhumashev & Vinod Mishra & Russell Smyth, 2013. "Exporting, R&D Investment and Firm Survival in the Indian IT Sector," Monash Economics Working Papers 60-13, Monash University, Department of Economics.
    2. Stajić, Ljubiša & Praksová, Renáta & Brkić, Dejan & Praks, Pavel, 2024. "Estimation of global natural gas spot prices using big data and symbolic regression," Resources Policy, Elsevier, vol. 95(C).
    3. Qin Lu & Jingwen Liao & Kechi Chen & Yanhui Liang & Yu Lin, 2024. "Predicting Natural Gas Prices Based on a Novel Hybrid Model with Variational Mode Decomposition," Computational Economics, Springer;Society for Computational Economics, vol. 63(2), pages 639-678, February.

  17. Kendrick, David A & Amman, Hans M, 1999. "Programming Languages in Economics," Computational Economics, Springer;Society for Computational Economics, vol. 14(1-2), pages 151-181, October.
    See citations under working paper version above.
  18. Mercado, P Ruben & Kendrick, David A & Amman, Hans, 1998. "Teaching Macroeconomics with GAMS," Computational Economics, Springer;Society for Computational Economics, vol. 12(2), pages 125-149, October.
    See citations under working paper version above.
  19. Amman, Hans M. & Kendrick, David A., 1998. "Computing the steady state of linear quadratic optimization models with rational expectations," Economics Letters, Elsevier, vol. 58(2), pages 185-191, February.
    See citations under working paper version above.
  20. Amman, Hans M. & Neudecker, Heinz, 1997. "Numerical solutions of the algebraic matrix Riccati equation," Journal of Economic Dynamics and Control, Elsevier, vol. 21(2-3), pages 363-369.

    Cited by:

    1. Carroll, R. B. & Brask, D. A., 1998. "A practical implementation for solutions to the algebraic matrix Riccati equation in a LQCM setting," Journal of Economic Dynamics and Control, Elsevier, vol. 23(1), pages 1-7, September.
    2. Hans M. Amman & Marco P. Tucci, 2020. "How Active is Active Learning: Value Function Method Versus an Approximation Method," Computational Economics, Springer;Society for Computational Economics, vol. 56(3), pages 675-693, October.
    3. Ronald J. Balvers & Douglas W. Mitchell, 2001. "Reducing the Dimensionality of Linear Quadratic Control Problems," Tinbergen Institute Discussion Papers 01-043/2, Tinbergen Institute.
    4. Amman, Hans M. & Kendrick, David A., 2003. "Mitigation of the Lucas critique with stochastic control methods," Journal of Economic Dynamics and Control, Elsevier, vol. 27(11), pages 2035-2057.
    5. Binder, Michael & Pesaran, Hashem, 2000. "Solution of finite-horizon multivariate linear rational expectations models and sparse linear systems," Journal of Economic Dynamics and Control, Elsevier, vol. 24(3), pages 325-346, March.
    6. Hans M. Amman & David A. Kendrick, 1997. "Linear Quadratic Optimization for Models with Rational Expectations," CARE Working Papers 9708, The University of Texas at Austin, Center for Applied Research in Economics.
    7. Hans M. Amman & David A. Kendrick, 1997. "Computing the Steady State of Linear Quadratic Optimization Models with Rational Expectations," CARE Working Papers 9707, The University of Texas at Austin, Center for Applied Research in Economics.
    8. Mitchell, Douglas W., 2000. "An analytic Riccati solution for two-target discrete-time control," Journal of Economic Dynamics and Control, Elsevier, vol. 24(4), pages 615-622, April.
    9. Fidel Gonzalez, 2008. "Precautionary Principle and Robustness for a Stock Pollutant with Multiplicative Risk," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 41(1), pages 25-46, September.
    10. Klein, Paul, 2000. "Using the generalized Schur form to solve a multivariate linear rational expectations model," Journal of Economic Dynamics and Control, Elsevier, vol. 24(10), pages 1405-1423, September.

  21. Amman, Hans M. & Kendrick, David A., 1997. "Active learning: A correction," Journal of Economic Dynamics and Control, Elsevier, vol. 21(10), pages 1613-1614, August.

    Cited by:

    1. D.A. Kendrick & H.M. Amman & M.P. Tucci, 2008. "Learning About Learning in Dynamic Economic Models," Working Papers 08-20, Utrecht School of Economics.

  22. Amman, Hans M. & Kendrick, David A. & Achath, Sudhakar, 1995. "Solving stochastic optimization models with learning and rational expectations," Economics Letters, Elsevier, vol. 48(1), pages 9-13, April.

    Cited by:

    1. Mercado, Ruben & Kendrick, David, 1998. "Hall and Taylor´s and John Taylor´s Model in DUALI," MPRA Paper 111974, University Library of Munich, Germany.
    2. Blake, Andrew P., 2004. "Open loop time consistency for linear rational expectations models," Economics Letters, Elsevier, vol. 82(1), pages 21-27, January.
    3. Hans M. Amman & David A. Kendrick, 1997. "Linear Quadratic Optimization for Models with Rational Expectations," CARE Working Papers 9708, The University of Texas at Austin, Center for Applied Research in Economics.
    4. Hans M. Amman & David A. Kendrick, 1997. "Computing the Steady State of Linear Quadratic Optimization Models with Rational Expectations," CARE Working Papers 9707, The University of Texas at Austin, Center for Applied Research in Economics.
    5. Blake, Andrew P., 2000. "Solution and control of linear rational expectations models with structural effects from future instruments," Economics Letters, Elsevier, vol. 67(3), pages 283-288, June.
    6. Nerlove, Marc & Fornari, Ilaria, 1998. "Quasi-rational expectations, an alternative to fully rational expectations: An application to US beef cattle supply," Journal of Econometrics, Elsevier, vol. 83(1-2), pages 129-161.

  23. Amman, Hans M & Kendrick, David A, 1995. "Nonconvexities in Stochastic Control Models," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 36(2), pages 455-475, May.

    Cited by:

    1. Peter John Robinson & W.J.W. Botzen & F. Zhou, 2019. "An experimental study of charity hazard: The effect of risky and ambiguous government compensation on flood insurance demand," Working Papers 19-19, Utrecht School of Economics.
    2. Amman, Hans M & Kendrick, David A, 1999. "Should Macroeconomic Policy Makers Consider Parameter Covariances?," Computational Economics, Springer;Society for Computational Economics, vol. 14(3), pages 263-267, December.
    3. Tucci, Marco P. & Kendrick, David A. & Amman, Hans M., 2010. "The parameter set in an adaptive control Monte Carlo experiment: Some considerations," Journal of Economic Dynamics and Control, Elsevier, vol. 34(9), pages 1531-1549, September.
    4. Volker W. Wieland, 1999. "Monetary policy, parameter uncertainty and optimal learning," Finance and Economics Discussion Series 1999-48, Board of Governors of the Federal Reserve System (U.S.).
    5. Volker Wieland, "undated". "Monetary Policy and Uncertainty about the Natural Unemployment Rate," Computing in Economics and Finance 1997 11, Society for Computational Economics.
    6. D.A. Kendrick & H.M. Amman & M.P. Tucci, 2008. "Learning About Learning in Dynamic Economic Models," Working Papers 08-20, Utrecht School of Economics.
    7. D.A. Kendrick & H.M. Amman, 2008. "Comparison of Policy Functions from the Optimal Learning and Adaptive Control Frameworks," Working Papers 08-19, Utrecht School of Economics.
    8. Amman, Hans M. & Kendrick, David A. & Tucci, Marco P., 2020. "Approximating The Value Function For Optimal Experimentation," Macroeconomic Dynamics, Cambridge University Press, vol. 24(5), pages 1073-1086, July.
    9. Kendrick, David A., 2005. "Stochastic control for economic models: past, present and the paths ahead," Journal of Economic Dynamics and Control, Elsevier, vol. 29(1-2), pages 3-30, January.
    10. H.M. Amman & D.A. Kendrick, 2012. "Conjectures on the policy function in the presence of optimal experimentation," Working Papers 12-09, Utrecht School of Economics.
    11. Zeyi Fu & Hongli Niu & Weiqing Wang, 2023. "Market Efficiency and Cross-Correlations of Chinese New Energy Market with Other Assets: Evidence from Multifractality Analysis," Computational Economics, Springer;Society for Computational Economics, vol. 62(3), pages 1287-1311, October.
    12. Wieland, Volker, 2000. "Learning by doing and the value of optimal experimentation," Journal of Economic Dynamics and Control, Elsevier, vol. 24(4), pages 501-534, April.
    13. Amman, Hans M. & Neudecker, Heinz, 1997. "Numerical solutions of the algebraic matrix Riccati equation," Journal of Economic Dynamics and Control, Elsevier, vol. 21(2-3), pages 363-369.
    14. Amman, Hans M. & Kendrick, David A., 1997. "Active learning: A correction," Journal of Economic Dynamics and Control, Elsevier, vol. 21(10), pages 1613-1614, August.
    15. Tim Willems, 2017. "Actively Learning by Pricing: A Model of an Experimenting Seller," Economic Journal, Royal Economic Society, vol. 127(604), pages 2216-2239, September.
    16. V. Blueschke-Nikolaeva & D. Blueschke & R. Neck, 2020. "OPTCON3: An Active Learning Control Algorithm for Nonlinear Quadratic Stochastic Problems," Computational Economics, Springer;Society for Computational Economics, vol. 56(1), pages 145-162, June.
    17. Beck, Gunter W. & Wieland, Volker, 2002. "Learning and control in a changing economic environment," Journal of Economic Dynamics and Control, Elsevier, vol. 26(9-10), pages 1359-1377, August.
    18. Tucci, Marco P., 2002. "A note on global optimization in adaptive control, econometrics and macroeconomics," Journal of Economic Dynamics and Control, Elsevier, vol. 26(9-10), pages 1739-1764, August.
    19. Hans M. Amman & Marco P. Tucci, 2017. "The DUAL Approach in an Infinite Horizon Model," Department of Economics University of Siena 766, Department of Economics, University of Siena.
    20. Marco Tucci, 2006. "Understanding the Difference Between Robust Control and Optimal Control in a Linear Discrete-Time System with Time-Varying Parameters," Computational Economics, Springer;Society for Computational Economics, vol. 27(4), pages 533-558, June.
    21. D. Blueschke & V. Blueschke-Nikolaeva & R. Neck, 2013. "Stochastic Control of Linear and Nonlinear Econometric Models: Some Computational Aspects," Computational Economics, Springer;Society for Computational Economics, vol. 42(1), pages 107-118, June.
    22. Bond, Craig A., 2008. "On the Potential Use of Adaptive Control Methods for Improving Adaptive Natural Resource Management," Working Papers 108721, Colorado State University, Department of Agricultural and Resource Economics.

  24. Amman, Hans M. & Kendrick, David A., 1994. "Active learning Monte Carlo results," Journal of Economic Dynamics and Control, Elsevier, vol. 18(1), pages 119-124, January.

    Cited by:

    1. Amman, Hans M & Kendrick, David A, 1999. "Should Macroeconomic Policy Makers Consider Parameter Covariances?," Computational Economics, Springer;Society for Computational Economics, vol. 14(3), pages 263-267, December.
    2. Stephen J. Turnovsky, 2011. "Stabilization Theory and Policy: 50 Years after the Phillips Curve," Economica, London School of Economics and Political Science, vol. 78(309), pages 67-88, January.
    3. Tucci, Marco P., 1997. "Adaptive control in the presence of time-varying parameters," Journal of Economic Dynamics and Control, Elsevier, vol. 22(1), pages 39-47, November.
    4. D.A. Kendrick & H.M. Amman & M.P. Tucci, 2008. "Learning About Learning in Dynamic Economic Models," Working Papers 08-20, Utrecht School of Economics.
    5. Kendrick, David A., 2005. "Stochastic control for economic models: past, present and the paths ahead," Journal of Economic Dynamics and Control, Elsevier, vol. 29(1-2), pages 3-30, January.
    6. Wieland, Volker, 2000. "Learning by doing and the value of optimal experimentation," Journal of Economic Dynamics and Control, Elsevier, vol. 24(4), pages 501-534, April.
    7. Francisco Alvarez, 2018. "Decomposing risk in an exploitation–exploration problem with endogenous termination time," Annals of Operations Research, Springer, vol. 261(1), pages 45-77, February.
    8. Amman, Hans M. & Kendrick, David A., 1997. "Active learning: A correction," Journal of Economic Dynamics and Control, Elsevier, vol. 21(10), pages 1613-1614, August.
    9. Beck, Gunter W. & Wieland, Volker, 2002. "Learning and control in a changing economic environment," Journal of Economic Dynamics and Control, Elsevier, vol. 26(9-10), pages 1359-1377, August.
    10. Arik Sadeh, 2003. "Optimal Product Lifecycle and Partial Information with Active Learning," Computational Economics, Springer;Society for Computational Economics, vol. 21(1), pages 125-136, February.

  25. Amman, Hans M., 1990. "Implementing stochastic control software on supercomputing machines," Journal of Economic Dynamics and Control, Elsevier, vol. 14(2), pages 265-279, May.

    Cited by:

    1. Lilia Maliar, 2015. "Assessing gains from parallel computation on a supercomputer," Economics Bulletin, AccessEcon, vol. 35(1), pages 159-167.
    2. Hans M. Amman & David A. Kendrick, 1997. "Linear Quadratic Optimization for Models with Rational Expectations," CARE Working Papers 9708, The University of Texas at Austin, Center for Applied Research in Economics.

  26. Amman, Hans M., 1986. "Are supercomputers useful for optimal control experiments?," Journal of Economic Dynamics and Control, Elsevier, vol. 10(1-2), pages 127-129, June.

    Cited by:

    1. Lilia Maliar, 2015. "Assessing gains from parallel computation on a supercomputer," Economics Bulletin, AccessEcon, vol. 35(1), pages 159-167.

Chapters

  1. David A. Kendrick & Marco P. Tucci & Hans M. Amman, 2008. "Duali: Software for Solving Stochastic Control Problems in Economics," Springer Books, in: Erricos J. Kontoghiorghes & Berç Rustem & Peter Winker (ed.), Computational Methods in Financial Engineering, pages 393-419, Springer.

    Cited by:

    1. D.A. Kendrick & H.M. Amman & M.P. Tucci, 2008. "Learning About Learning in Dynamic Economic Models," Working Papers 08-20, Utrecht School of Economics.
    2. H.M. Amman & D.A. Kendrick, 2012. "Conjectures on the policy function in the presence of optimal experimentation," Working Papers 12-09, Utrecht School of Economics.

  2. Amman, Hans, 1996. "Numerical methods for linear-quadratic models," Handbook of Computational Economics, in: H. M. Amman & D. A. Kendrick & J. Rust (ed.), Handbook of Computational Economics, edition 1, volume 1, chapter 13, pages 587-618, Elsevier.

    Cited by:

    1. Peter John Robinson & W.J.W. Botzen & F. Zhou, 2019. "An experimental study of charity hazard: The effect of risky and ambiguous government compensation on flood insurance demand," Working Papers 19-19, Utrecht School of Economics.
    2. Blueschke-Nikolaeva, V. & Blueschke, D. & Neck, R., 2012. "Optimal control of nonlinear dynamic econometric models: An algorithm and an application," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3230-3240.
    3. Hans M. Amman & Marco Paolo Tucci, 2018. "How active is active learning: value function method vs an approximation method," Department of Economics University of Siena 788, Department of Economics, University of Siena.
    4. Jean-Bernard Chatelain & Kirsten Ralf, 2019. "A Simple Algorithm for Solving Ramsey Optimal Policy with Exogenous Forcing Variables," Economics Bulletin, AccessEcon, vol. 39(4), pages 2429-2440.
    5. D.A. Kendrick & H.M. Amman & M.P. Tucci, 2008. "Learning About Learning in Dynamic Economic Models," Working Papers 08-20, Utrecht School of Economics.
    6. D.A. Kendrick & H.M. Amman, 2008. "Comparison of Policy Functions from the Optimal Learning and Adaptive Control Frameworks," Working Papers 08-19, Utrecht School of Economics.
    7. Amman, Hans M. & Kendrick, David A. & Tucci, Marco P., 2020. "Approximating The Value Function For Optimal Experimentation," Macroeconomic Dynamics, Cambridge University Press, vol. 24(5), pages 1073-1086, July.
    8. Hans M. Amman & Marco P. Tucci, 2020. "How Active is Active Learning: Value Function Method Versus an Approximation Method," Computational Economics, Springer;Society for Computational Economics, vol. 56(3), pages 675-693, October.
    9. Crowley, Patrick M. & Hudgins, David, 2015. "Fiscal policy tracking design in the time–frequency domain using wavelet analysis," Economic Modelling, Elsevier, vol. 51(C), pages 502-514.
    10. Julia Eisenberg & Peter Grandits & Stefan Thonhauser, 2014. "Optimal Consumption Under Deterministic Income," Journal of Optimization Theory and Applications, Springer, vol. 160(1), pages 255-279, January.
    11. Binder, Michael & Pesaran, Hashem, 2000. "Solution of finite-horizon multivariate linear rational expectations models and sparse linear systems," Journal of Economic Dynamics and Control, Elsevier, vol. 24(3), pages 325-346, March.
    12. Reinhard Neck & Sohbet Karbuz, 2017. "Dynamic Optimization under Uncertainty: A Case Study for Austrian Macroeconomic Policies," Proceedings of International Academic Conferences 5808250, International Institute of Social and Economic Sciences.
    13. H.M. Amman & D.A. Kendrick, 2012. "Conjectures on the policy function in the presence of optimal experimentation," Working Papers 12-09, Utrecht School of Economics.
    14. Amman, Hans M. & Neudecker, Heinz, 1997. "Numerical solutions of the algebraic matrix Riccati equation," Journal of Economic Dynamics and Control, Elsevier, vol. 21(2-3), pages 363-369.
    15. Crowley, Patrick M. & Hudgins, David, 2015. "Euro area monetary and fiscal policy tracking design in the time-frequency domain," Bank of Finland Research Discussion Papers 12/2015, Bank of Finland.

Books

  1. H. M. Amman & D. A. Kendrick & J. Rust (ed.), 1996. "Handbook of Computational Economics," Handbook of Computational Economics, Elsevier, edition 1, volume 1, number 1.

    Cited by:

    1. Committee, Nobel Prize, 2004. "Finn Kydland and Edward Prescott's Contribution to Dynamic Macroeconomics: The Time Consistency of Economic Policy and the Driving Forces Behind Business Cycles," Nobel Prize in Economics documents 2004-1, Nobel Prize Committee.
    2. Aguirregabiria, Victor & Mira, Pedro, 2010. "Dynamic discrete choice structural models: A survey," Journal of Econometrics, Elsevier, vol. 156(1), pages 38-67, May.
    3. Hiroyuki Kasahara & Katsumi Shimotsu, 2006. "Nested Pseudo-likelihood Estimation and Bootstrap-based Inference for Structural Discrete Markov Decision Models," University of Western Ontario, Departmental Research Report Series 20064, University of Western Ontario, Department of Economics.
    4. Lawrence J. Christiano & Jonas D. M. Fisher, 1997. "Algorithms for solving dynamic models with occasionally binding constraints," Working Papers (Old Series) 9711, Federal Reserve Bank of Cleveland.
    5. Khorunzhina, Natalia & Richard, Jean-Francois, 2016. "Finite Gaussian Mixture Approximations to Analytically Intractable Density Kernels," MPRA Paper 72326, University Library of Munich, Germany.
    6. Peter John Robinson & W.J.W. Botzen & F. Zhou, 2019. "An experimental study of charity hazard: The effect of risky and ambiguous government compensation on flood insurance demand," Working Papers 19-19, Utrecht School of Economics.
    7. Victor Aguirregabiria & Arvind Magesan, 2013. "Euler Equations for the Estimation of Dynamic Discrete Choice Structural Models," Working Papers tecipa-489, University of Toronto, Department of Economics.
    8. Thierry Magnac & Pierre Dubois, 2016. "Consumer Demand with Unobserved Stockpiling and Intertemporal Price Discrimination," 2016 Meeting Papers 451, Society for Economic Dynamics.
    9. Blueschke-Nikolaeva, V. & Blueschke, D. & Neck, R., 2012. "Optimal control of nonlinear dynamic econometric models: An algorithm and an application," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3230-3240.
    10. Kemp-Benedict, Eric, 2012. "Material needs and aggregate demand," MPRA Paper 39960, University Library of Munich, Germany.
    11. Maliar, Lilia & Maliar, Serguei, 2005. "Solving nonlinear dynamic stochastic models: an algorithm computing value function by simulations," Economics Letters, Elsevier, vol. 87(1), pages 135-140, April.
    12. Viktor Tsyrennikov & Serguei Maliar & Lilia Maliar & Cristina Arellano, 2015. "Envelope Condition Method with an Application to Default Risk Models," 2015 Meeting Papers 1239, Society for Economic Dynamics.
    13. Hans M. Amman & Marco Paolo Tucci, 2018. "How active is active learning: value function method vs an approximation method," Department of Economics University of Siena 788, Department of Economics, University of Siena.
    14. Peter Miltersen & Troels Sørensen, 2010. "Computing a quasi-perfect equilibrium of a two-player game," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 42(1), pages 175-192, January.
    15. S. Boragan Aruoba & Jesus Fernandez-Villaverde & Juan F. Rubio-Ramirez, 2003. "Comparing Solution Methods for Dynamic Equilibrium Economies," PIER Working Paper Archive 04-003, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    16. Ngo-Hoang, Dai-Long, 2019. "A research paper of Hossein Sabzian (2019), Theories and Practice of Agent based Modeling: Some practical Implications for Economic Planners, ArXiv, 54p," AgriXiv xutyz, Center for Open Science.
    17. Di Nicolo, G. & Gamba, A. & Lucchetta, M., 2011. "Capital Regulation, Liquidity Requirements and Taxation in a Dynamic Model of Banking," Discussion Paper 2011-090, Tilburg University, Center for Economic Research.
    18. Adam Speight, 2010. "Multigrid Techniques in Economics," Operations Research, INFORMS, vol. 58(4-part-2), pages 1057-1078, August.
    19. Sergey Ivashchenko & Semih Emre Çekin & Kevin Kotzé & Rangan Gupta, 2020. "Forecasting with Second-Order Approximations and Markov-Switching DSGE Models," Computational Economics, Springer;Society for Computational Economics, vol. 56(4), pages 747-771, December.
    20. Jean-Bernard Chatelain & Kirsten Ralf, 2019. "A Simple Algorithm for Solving Ramsey Optimal Policy with Exogenous Forcing Variables," Economics Bulletin, AccessEcon, vol. 39(4), pages 2429-2440.
    21. Francisco Barillas & Jesús Fernández-Villaverde, 2006. "A Generalization of the Endogenous Grid Method," Levine's Bibliography 122247000000001200, UCLA Department of Economics.
    22. James J. Heckman, 2000. "Causal Parameters and Policy Analysis in Economics: A Twentieth Century Retrospective," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 115(1), pages 45-97.
    23. Mario Larch & Yoto V. Yotov, 2016. "General Equilibrium Trade Policy Analysis with Structural Gravity," CESifo Working Paper Series 6020, CESifo.
    24. Collard, Fabrice & Juillard, Michel, 1999. "Accuracy of stochastic perturbuation methods: the case of asset pricing models," CEPREMAP Working Papers (Couverture Orange) 9922, CEPREMAP.
    25. Ryo Kato & Shinichi Nishiyama, 2001. "Optimal Monetary Policy When Interest Rates are Bound at Zero," Working Papers 01-12, Ohio State University, Department of Economics.
    26. Victor Aguirregabiria & Pedro Mira, 1999. "Swapping the Nested Fixed-Point Algorithm: a Class of Estimators for Discrete Markov Decision Models," Computing in Economics and Finance 1999 332, Society for Computational Economics.
    27. Aguirregabiria, Victor & Magesan, Arvind, 2013. "Euler Equations for the Estimation of Dynamic Discrete Choice Structural," MPRA Paper 46056, University Library of Munich, Germany.
    28. Angelopoulos, Konstantinos & Malley, James, 2010. "Fear of model misspecifcation and the robustness premium," SIRE Discussion Papers 2010-79, Scottish Institute for Research in Economics (SIRE).
    29. Donna, Javier D., 2021. "Measuring Long-Run Gasoline Price Elasticities in Urban Travel Demand," MPRA Paper 121039, University Library of Munich, Germany.
    30. Lars Grüne & Willi Semmler, 2007. "Asset pricing with dynamic programming," Computational Economics, Springer;Society for Computational Economics, vol. 29(3), pages 233-265, May.
    31. Lakshmi Raut, 2018. "Long-term Effects of Preschool on School Performance, Earnings and Social Mobility," Studies in Microeconomics, , vol. 6(1-2), pages 24-49, June.
    32. Phaneuf, Daniel J. & Kling, Catherine L. & Herriges, Joseph A., 2000. "Estimation and Welfare Calculations in a Generalized Corner Solution Model with an Application to Recreation Demand," Staff General Research Papers Archive 1355, Iowa State University, Department of Economics.
    33. Ron N. Borkovsky & Ulrich Doraszelski & Yaroslav Kryukov, 2010. "A User's Guide to Solving Dynamic Stochastic Games Using the Homotopy Method," Operations Research, INFORMS, vol. 58(4-part-2), pages 1116-1132, August.
    34. Sandor, Zsolt & Andras, P.Peter, 2004. "Alternative sampling methods for estimating multivariate normal probabilities," Journal of Econometrics, Elsevier, vol. 120(2), pages 207-234, June.
    35. Lilia Maliar & Serguei Maliar & John B. Taylor & Inna Tsener, 2020. "A tractable framework for analyzing a class of nonstationary Markov models," Quantitative Economics, Econometric Society, vol. 11(4), pages 1289-1323, November.
    36. Michael Reiter, 1997. "Solving higher-dimensional continuous time stochastic control problems by value function regression," Economics Working Papers 299, Department of Economics and Business, Universitat Pompeu Fabra, revised Jun 1998.
    37. Liu Yang, 2008. "The Real Determinants of Asset Sales," Journal of Finance, American Finance Association, vol. 63(5), pages 2231-2262, October.
    38. Yongyang Cai & Kenneth L. Judd, 2023. "A simple but powerful simulated certainty equivalent approximation method for dynamic stochastic problems," Quantitative Economics, Econometric Society, vol. 14(2), pages 651-687, May.
    39. Fernández-Villaverde, J. & Rubio-Ramírez, J.F. & Schorfheide, F., 2016. "Solution and Estimation Methods for DSGE Models," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 527-724, Elsevier.
    40. Sándor, Z. & András, P., 2003. "Alternate Samplingmethods for Estimating Multivariate Normal Probabilities," Econometric Institute Research Papers EI 2003-05, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    41. In Chang Hwang, 2017. "A Recursive Method for Solving a Climate–Economy Model: Value Function Iterations with Logarithmic Approximations," Computational Economics, Springer;Society for Computational Economics, vol. 50(1), pages 95-110, June.
    42. Andreas Pyka & Giorgio Fagiolo, 2005. "Agent-Based Modelling: A Methodology for Neo-Schumpeterian Economics," Discussion Paper Series 272, Universitaet Augsburg, Institute for Economics.
    43. D.A. Kendrick & H.M. Amman, 2008. "Comparison of Policy Functions from the Optimal Learning and Adaptive Control Frameworks," Working Papers 08-19, Utrecht School of Economics.
    44. Amman, Hans M. & Kendrick, David A. & Tucci, Marco P., 2020. "Approximating The Value Function For Optimal Experimentation," Macroeconomic Dynamics, Cambridge University Press, vol. 24(5), pages 1073-1086, July.
    45. Lars J. Olson & Santanu Roy, 2006. "Theory of Stochastic Optimal Economic Growth," Springer Books, in: Rose-Anne Dana & Cuong Le Van & Tapan Mitra & Kazuo Nishimura (ed.), Handbook on Optimal Growth 1, chapter 11, pages 297-335, Springer.
    46. William L. Goffe & Michael Creel, 2005. "Multi-core CPUs, Clusters and Grid Computing: a Tutorial," Computing in Economics and Finance 2005 438, Society for Computational Economics.
    47. Gersbach, Hans & Hahn, Volker, 2012. "Inflation Forecast Contracts," CEPR Discussion Papers 8933, C.E.P.R. Discussion Papers.
    48. G. Cernicchiaro & M. Lapparent, 2015. "A Dynamic Discrete/Continuous Choice Model for Forward-Looking Agents Owning One or More Vehicles," Computational Economics, Springer;Society for Computational Economics, vol. 46(1), pages 15-34, June.
    49. Hans M. Amman & Marco P. Tucci, 2020. "How Active is Active Learning: Value Function Method Versus an Approximation Method," Computational Economics, Springer;Society for Computational Economics, vol. 56(3), pages 675-693, October.
    50. McCAUSLAND, William, 2004. "Bayesian Analysis for a Theory of Random Consumer Demand: The Case of Indivisible Goods," Cahiers de recherche 2004-05, Universite de Montreal, Departement de sciences economiques.
    51. Levent Akdeniz & W. Davis Dechert, "undated". "Risk and Return in a Dynamic Asset Pricing Model," Computing in Economics and Finance 1996 _064, Society for Computational Economics.
    52. Joseph Y. Chen & Bruce L. Miller, 2009. "On the Relative Performance of Linear vs. Piecewise-Linear-Threshold Intertemporal Incentives," Management Science, INFORMS, vol. 55(10), pages 1743-1752, October.
    53. Joonwook Park & Priyali Rajagopal & Wayne DeSarbo, 2012. "A New Heterogeneous Multidimensional Unfolding Procedure," Psychometrika, Springer;The Psychometric Society, vol. 77(2), pages 263-287, April.
    54. Nagurney, Anna & Dong, June & Mokhtarian, Patricia L., 2002. "Multicriteria network equilibrium modeling with variable weights for decision-making in the Information Age with applications to telecommuting and teleshopping," Journal of Economic Dynamics and Control, Elsevier, vol. 26(9-10), pages 1629-1650, August.
    55. John Geweke, 1998. "Using simulation methods for Bayesian econometric models: inference, development, and communication," Staff Report 249, Federal Reserve Bank of Minneapolis.
    56. Hossein Sabzian & Mohammad Ali Shafia & Mehdi Ghazanfari & Ali Bonyadi Naeini, 2020. "Modeling the Adoption and Diffusion of Mobile Telecommunications Technologies in Iran: A Computational Approach Based on Agent-Based Modeling and Social Network Theory," Sustainability, MDPI, vol. 12(7), pages 1-36, April.
    57. Jones, John B, 2003. "The Dynamic Effects of Firm-Level Borrowing Constraints," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 35(5), pages 743-762, October.
    58. Xiao Liu, 2023. "Dynamic Coupon Targeting Using Batch Deep Reinforcement Learning: An Application to Livestream Shopping," Marketing Science, INFORMS, vol. 42(4), pages 637-658, July.
    59. Maurizio Iacopetta, 2014. "Dynamics of assets liquidity and inequality in economies with decentralized markets," Documents de Travail de l'OFCE 2014-21, Observatoire Francais des Conjonctures Economiques (OFCE).
    60. Vuong, Quan-Hoang, 2018. "From Economic Complexities to Computational Entrepreneurship," OSF Preprints kqbmg, Center for Open Science.
    61. M. Ayhan Kose & Christopher Otrok & Charles H. Whiteman, 2003. "International Business Cycles: World, Region, and Country-Specific Factors," American Economic Review, American Economic Association, vol. 93(4), pages 1216-1239, September.
    62. Mark Broadie & Weiwei Shen, 2017. "Numerical solutions to dynamic portfolio problems with upper bounds," Computational Management Science, Springer, vol. 14(2), pages 215-227, April.
    63. Winter, Joachim, 1997. "Ökonometrische Analyse diskreter dynamischer Entscheidungsprozesse," Sonderforschungsbereich 504 Publications 99-27, Sonderforschungsbereich 504, Universität Mannheim;Sonderforschungsbereich 504, University of Mannheim.
    64. Georg Jäger & Laura S. Zilian & Christian Hofer & Manfred Füllsack, 2019. "Crowdworking: working with or against the crowd?," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 14(4), pages 761-788, December.
    65. S. Sriram & Pradeep K. Chintagunta & Manoj K. Agarwal, 2010. "Investigating Consumer Purchase Behavior in Related Technology Product Categories," Marketing Science, INFORMS, vol. 29(2), pages 291-314, 03-04.
    66. Matthew Osborne & Adam Hale Shapiro, 2014. "A Dynamic Model of Price Signaling, Consumer Learning, and Price Adjustment," Working Paper Series 2014-27, Federal Reserve Bank of San Francisco.
    67. Martin B. Haugh & Leonid Kogan & Jiang Wang, 2006. "Evaluating Portfolio Policies: A Duality Approach," Operations Research, INFORMS, vol. 54(3), pages 405-418, June.
    68. K. Vela Velupillai & Stefano Zambelli, 2010. "Computation in Economics," ASSRU Discussion Papers 1001, ASSRU - Algorithmic Social Science Research Unit.
    69. Torben G. Andersen & Luca Benzoni & Jesper Lund, 2001. "An Empirical Investigation of Continuous-Time Equity Return Models," NBER Working Papers 8510, National Bureau of Economic Research, Inc.
    70. Willi Mutschler, 2015. "Higher-order statistics for DSGE models," CQE Working Papers 4315, Center for Quantitative Economics (CQE), University of Muenster.
    71. Edgardo Bucciarelli & Marcello Silvestri, 2013. "Hyman P. Minsky's unorthodox approach: recent advances in simulation techniques to develop his theoretical assumptions," Journal of Post Keynesian Economics, Taylor & Francis Journals, vol. 36(2), pages 299-324.
    72. Anna Lu, 2017. "Consumer Stockpiling and Sales Promotions," Discussion Papers of DIW Berlin 1680, DIW Berlin, German Institute for Economic Research.
    73. Hossein Sabzian & Mohammad Ali Shafia & Ali Maleki & Seyeed Mostapha Seyeed Hashemi & Ali Baghaei & Hossein Gharib, 2019. "Theories and Practice of Agent based Modeling: Some practical Implications for Economic Planners," Papers 1901.08932, arXiv.org.
    74. Francis X. Diebold, 1997. "The Past, Present, and Future of Macroeconomic Forecasting," NBER Working Papers 6290, National Bureau of Economic Research, Inc.
    75. Harikesh Nair, 2007. "Intertemporal price discrimination with forward-looking consumers: Application to the US market for console video-games," Quantitative Marketing and Economics (QME), Springer, vol. 5(3), pages 239-292, September.
    76. Apiruk Detwarasiti & Ross D. Shachter, 2005. "Influence Diagrams for Team Decision Analysis," Decision Analysis, INFORMS, vol. 2(4), pages 207-228, December.
    77. Binder, Michael & Pesaran, Hashem, 2000. "Solution of finite-horizon multivariate linear rational expectations models and sparse linear systems," Journal of Economic Dynamics and Control, Elsevier, vol. 24(3), pages 325-346, March.
    78. Lilia Maliar, 2015. "Assessing gains from parallel computation on a supercomputer," Economics Bulletin, AccessEcon, vol. 35(1), pages 159-167.
    79. Nwaobi, Godwin, 2011. "Agent-based computational economics and African modeling:perspectives and challenges," MPRA Paper 35414, University Library of Munich, Germany.
    80. James J. Heckman, 2005. "Micro Data, Heterogeneity and the Evaluation of Public Policy Part 2," The American Economist, Sage Publications, vol. 49(1), pages 16-44, March.
    81. Mette Termansen, 2007. "Economies of scale and the optimality of rotational dynamics in forestry," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 37(4), pages 643-659, August.
    82. Reinhard Neck & Sohbet Karbuz, 2017. "Dynamic Optimization under Uncertainty: A Case Study for Austrian Macroeconomic Policies," Proceedings of International Academic Conferences 5808250, International Institute of Social and Economic Sciences.
    83. Marcel Ausloos & Franck Jovanovic & Christophe Schinckus, 2016. "On the "usual" misunderstandings between econophysics and finance: some clarifications on modelling approaches and efficient market hypothesis," Papers 1606.02045, arXiv.org.
    84. Serguei Maliar & John Taylor & Lilia Maliar, 2016. "The Impact of Alternative Transitions to Normalized Monetary Policy," 2016 Meeting Papers 794, Society for Economic Dynamics.
    85. Hans M. Amman & David A. Kendrick, 1997. "Linear Quadratic Optimization for Models with Rational Expectations," CARE Working Papers 9708, The University of Texas at Austin, Center for Applied Research in Economics.
    86. Jean-Pierre Dubé & Günter Hitsch & Puneet Manchanda, 2005. "An Empirical Model of Advertising Dynamics," Quantitative Marketing and Economics (QME), Springer, vol. 3(2), pages 107-144, June.
    87. Hartmann, Wesley R. & Nair, Harikesh S., 2007. "Retail Competition and the Dynamics of Consumer Demand for Tied Goods," Research Papers 1990, Stanford University, Graduate School of Business.
    88. H.M. Amman & D.A. Kendrick, 2012. "Conjectures on the policy function in the presence of optimal experimentation," Working Papers 12-09, Utrecht School of Economics.
    89. Andriy Norets, 2009. "Inference in Dynamic Discrete Choice Models With Serially orrelated Unobserved State Variables," Econometrica, Econometric Society, vol. 77(5), pages 1665-1682, September.
    90. Michael Keane & Richard Rogerson, 2015. "Reconciling Micro and Macro Labor Supply Elasticities: A Structural Perspective," Annual Review of Economics, Annual Reviews, vol. 7(1), pages 89-117, August.
    91. Herings, P.J.J. & Peeters, R.J.A.P., 2006. "Homotopy methods to compute equilibria in game theory," Research Memorandum 046, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    92. Erhan Artuç & Germán Bet & Irene Brambilla & Guido Porto, 2013. "Trade Shocks and Factor Adjustment Frictions: Implications for Investment and Labor," IIE, Working Papers 101, IIE, Universidad Nacional de La Plata.
    93. Hans M. Amman & David A. Kendrick, 1997. "Computing the Steady State of Linear Quadratic Optimization Models with Rational Expectations," CARE Working Papers 9707, The University of Texas at Austin, Center for Applied Research in Economics.
    94. Wesseh, Presley K. & Lin, Boqiang, 2017. "Climate change and agriculture under CO2 fertilization effects and farm level adaptation: Where do the models meet?," Applied Energy, Elsevier, vol. 195(C), pages 556-571.
    95. John Rust, 1996. "Dealing with the Complexity of Economic Calculations," Computational Economics 9610002, University Library of Munich, Germany, revised 21 Oct 1997.
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    98. Carpentier, Alain & Gohin, Alexandre, 2014. "Accounting for crop rotations in acreage choice modeling: a tractable modeling framework," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 182799, European Association of Agricultural Economists.
    99. King, Robert P. & Lohano, Heman D., 2006. "Accuracy of Numerical Solution to Dynamic Programming Models," Staff Papers 14230, University of Minnesota, Department of Applied Economics.
    100. Carpentier, Alain & Gohin, Alexandre, 2015. "On the economic theory of crop rotations: value of the crop rotation effects and implications on acreage choice modeling," Working Papers 205299, Institut National de la recherche Agronomique (INRA), Departement Sciences Sociales, Agriculture et Alimentation, Espace et Environnement (SAE2).
    101. Fousseni Chabi-Yo, 2012. "Pricing Kernels with Stochastic Skewness and Volatility Risk," Management Science, INFORMS, vol. 58(3), pages 624-640, March.
    102. Maurizio Iacopetta, 2014. "dynamics of assets liquidity and inequality in economies with decentralized markets," SciencePo Working papers Main hal-01099374, HAL.
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    104. Govindan, Srihari & Wilson, Robert, 2004. "Computing Nash equilibria by iterated polymatrix approximation," Journal of Economic Dynamics and Control, Elsevier, vol. 28(7), pages 1229-1241, April.
    105. Halkos, George & Tsilika, Kyriaki, 2016. "Measures of correlation and computer algebra," MPRA Paper 70200, University Library of Munich, Germany.
    106. Cerqueti, Roy & Quaranta, Anna Grazia & Ventura, Marco, 2016. "Innovation, imitation and policy inaction," Technological Forecasting and Social Change, Elsevier, vol. 111(C), pages 22-30.
    107. Grune, Lars & Semmler, Willi, 2004. "Using dynamic programming with adaptive grid scheme for optimal control problems in economics," Journal of Economic Dynamics and Control, Elsevier, vol. 28(12), pages 2427-2456, December.
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    110. Noah Stein & Asuman Ozdaglar & Pablo Parrilo, 2008. "Separable and low-rank continuous games," International Journal of Game Theory, Springer;Game Theory Society, vol. 37(4), pages 475-504, December.
    111. Nicola, Gatti & Mario, Gilli & Fabio, Panozzo, 2016. "Further results on verification problems in extensive-form games," Working Papers 347, University of Milano-Bicocca, Department of Economics, revised 15 Jul 2016.
    112. Gamba, Andrea & Tesser, Matteo, 2009. "Structural estimation of real options models," Journal of Economic Dynamics and Control, Elsevier, vol. 33(4), pages 798-816, April.
    113. Kenneth L. Judd & Lilia Maliar & Serguei Maliar, 2011. "How to Solve Dynamic Stochastic Models Computing Expectations Just Once," NBER Working Papers 17418, National Bureau of Economic Research, Inc.
    114. Christophe Gouel, 2013. "Comparing Numerical Methods for Solving the Competitive Storage Model," Computational Economics, Springer;Society for Computational Economics, vol. 41(2), pages 267-295, February.
    115. Wen Chen & Nicolas Langren'e, 2020. "Deep neural network for optimal retirement consumption in defined contribution pension system," Papers 2007.09911, arXiv.org, revised Jul 2020.
    116. Ionescu, Anamaria, 2008. "The Federal Student Loan Program: Quantitative Implications for College Enrollment and Default Rates," Working Papers 2007-04, Department of Economics, Colgate University.
    117. Nagurney, Anna & Zhang, Ding, 1998. "A massively parallel implementation of a discrete-time algorithm for the computation of dynamic elastic demand traffic problems modeled as projected dynamical systems," Journal of Economic Dynamics and Control, Elsevier, vol. 22(8-9), pages 1467-1485, August.
    118. Fackler, Paul L., 2018. "Stochastic Dynamic Programming without Transition Matrices," CEnREP Working Papers 277664, North Carolina State University, Department of Agricultural and Resource Economics.
    119. Christopher Ferrall, 2005. "Solving Finite Mixture Models: Efficient Computation in Economics Under Serial and Parallel Execution," Computational Economics, Springer;Society for Computational Economics, vol. 25(4), pages 343-379, June.
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    1. Linnea Polgreen & Pedro Silos, 2005. "Capital-skill complementarity and inequality: a sensitivity analysis," FRB Atlanta Working Paper 2005-20, Federal Reserve Bank of Atlanta.
    2. Y. Qiang, 1999. "CGE Modelling and Australian Economics," Economics Discussion / Working Papers 99-04, The University of Western Australia, Department of Economics.
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