nep-cmp New Economics Papers
on Computational Economics
Issue of 2014‒10‒13
23 papers chosen by
Stan Miles
Thompson Rivers University

  1. International Emissions Trading as a Climate Change Policy. Considering a Fine: An Analysis Applying a Multi Agent Model By Ken’ichi MATSUMOTO
  2. Turkish EU Membership: a Simulation Study on Economic Effects By Pekka Sulamaa; Mika Widgrén
  3. Government Debt and Macroeconomic Effects: Analysis with Real-Financial CGE Model By Imene BENNOUR; Tahar ABDESSALEM
  4. EU Enlargement and Beyond: A Simulation Study on EU and CIS Integration By SULAMAA Pekka; WIDGRÉN Mika
  5. Service Oligopolies and Economy-wide Performance in Taiwan: A CGE Analysis By Ping-Kun HSU
  6. Regulation, Market Structure and Service Trade Liberalization: A CGE Analysis By Denise KONAN; Ari Van ASSCHE
  7. Simulation of Scenario for Dairy Production Family Farming in Minas Gerais State By Jose Leite; Resende; H.
  8. Simulating simple and complex survival data By Michael J. Crowther
  9. Interstate Trade and Regional Development: An Interregional CGE Approach By HADDAD Eduardo; DOMINGUES Edson
  10. Agent-Based Modeling of Economic Systems: The EURACE Project Experience By Mehmet GENÇER; Bülent ÖZEL
  11. Efficient Supply of Cultural Landscape in a CGE Framework By Kenneth Løvold RØDSETH
  12. Foreign Competition and Adjustments to Higher Labor Costs: A CGE Model of U.S. Agriculture By Zahniser, Steven; Hertz, Tom
  13. Agricultural Trade Liberalization in a World of Uncertainty: Discussion of the Results of a World CGE Model By BOUSSARD J.M.; GERARD F.; PIKETTY M.G.; CHRISTENSEN A.K; VOITURIEZ T.
  14. The Impact of a Minimum Regional Wage on the Parana's Economy: an Application of the Iguassu CGE Model By Cassio Rolim
  15. The Impact of Multilateral Liberalisation on European Regions: a CGE Assessment By David LABORDE; Jean SÉBASTIEN
  16. Energy from Sugarcane Bagasse under Electricity Rationing in Brazil: A Computable General Equilibrium Model By SCARAMUCCI José A.; PERIN Clovis; PULINO Petronio; BORDONI Orlando F.; DA CUNHA Marcelo P.; CORTEZ Luís A. B.
  17. Climate Change and Alternative Cropping Patterns in Lower Seyhan Irrigation Project: A Regional Simulation Analysis with MRI-GCM and CCSR-GCM By Chieko UMETSU; K. PALANISAMI; Ziya COSKUN; Sevgi DONMA; Takanori NAGANO; Yoichi FUJIHARA; Kenji TANAKA
  18. Should Canada Diversify its Trade Pattern? An Overlapping-Generations CGE Analysis of Trade and Ageing By Patrick GEORGES; Marcel MERETTE; Aylin SECKIN
  19. Tax Compliance and Public Goods Provision -- An Agent-based Econophysics Approach By S. Hokamp; G. Seibold
  20. Technical Document for Price Adjustment By Zheng Tian; Mulugeta Kahsai; Randall Jackson
  21. The Consequences of EU Accession for Poland - Simulations Using the MacSim System By Jean-Louis BRILLET; Anna KRUSZEWSKA
  22. The Role of Fiscal Stimulus and Monetary Easing in Indonesian Economy during Global Financial Crisis: Financial Computable General Equilibrium Approach By Iskandar SIMORANGKIR; Justina ADAMANTI
  23. Impact of Community-based Tourism in a Village Economy in Thailand: An analysis with VCGE model By Komsan SURIYA

  1. By: Ken’ichi MATSUMOTO
  2. By: Pekka Sulamaa; Mika Widgrén
  3. By: Imene BENNOUR; Tahar ABDESSALEM
  4. By: SULAMAA Pekka; WIDGRÉN Mika
  5. By: Ping-Kun HSU
  6. By: Denise KONAN; Ari Van ASSCHE
  7. By: Jose Leite; Resende; H.
  8. By: Michael J. Crowther (Centre for Biostatistics and Genetic Epidemiology, University of Leicester)
    Abstract: Simulation studies are conducted to assess novel and currently used methods in practice, to better assess and understand the frameworks under question. In survival analysis, we are interested in simulating both an event and a censoring distribution to better reflect clinical data. In this talk, I will describe how to simulate survival times from simple parametric distributions and then move to a more general framework, illustrating how to simulate from a general user-defined hazard function. This can incorporate any combination of a complex baseline hazard function with turning points, time-dependent effects, random effects, and nonlinear covariate effects. This is achieved through a two-stage algorithm incorporating numerical integration nested within root-finding techniques. The methods will be illustrated using the publicly available survsim package.
    Date: 2014–09–28
  9. By: HADDAD Eduardo; DOMINGUES Edson
  10. By: Mehmet GENÇER; Bülent ÖZEL
  11. By: Kenneth Løvold RØDSETH
  12. By: Zahniser, Steven; Hertz, Tom
    Keywords: Labor and Human Capital, Production Economics,
    Date: 2013–12
  14. By: Cassio Rolim
  15. By: David LABORDE; Jean SÉBASTIEN
  16. By: SCARAMUCCI José A.; PERIN Clovis; PULINO Petronio; BORDONI Orlando F.; DA CUNHA Marcelo P.; CORTEZ Luís A. B.
  17. By: Chieko UMETSU; K. PALANISAMI; Ziya COSKUN; Sevgi DONMA; Takanori NAGANO; Yoichi FUJIHARA; Kenji TANAKA
  18. By: Patrick GEORGES; Marcel MERETTE; Aylin SECKIN
  19. By: S. Hokamp; G. Seibold
    Abstract: We calculate the dynamics of tax evasion within a multi-agent econophysics model which is adopted from the theory of magnetism and previously has been shown to capture the main characteristics from agent-based based models which build on the standard Allingham and Sandmo approach. In particular, we implement a feedback of public goods provision on the decision-making of selfish agents which aim to pursue their self interest. Our results imply that such a feedback enhances the moral attitude of selfish agents thus reducing the percentage of tax evasion. Two parameters govern the behavior of selfish agents, (i) the rate of adaption to changes in public goods provision and (ii) the threshold of perception of public goods provision. Furtheron we analyze the tax evasion dynamics for different agent co mpositions and under the feedback of public goods provision. We conclude that policymakers may enhance tax compliance behavior via the threshold of perception by means of targeted public relations.
    Date: 2014–09
  20. By: Zheng Tian (International School of Economics and Management, Capital University of Economics and Business); Mulugeta Kahsai (Department of Technology, Virginia State University); Randall Jackson (Regional Research Institute, West Virginia University)
    Abstract: This document presents the basis for the price adjustment mechanisms in a time series IO model. The essentials of the price adjustment and price change propagation algorithms are presented, along with a matrix permutation algorithm that facilitates the implementation of the price adjustment mechanism. The Matlab function is provided.
    Keywords: input-output models, price changes, energy
    JEL: C67 C53 Q47 Q41
    Date: 2014–07
  21. By: Jean-Louis BRILLET; Anna KRUSZEWSKA
  22. By: Iskandar SIMORANGKIR; Justina ADAMANTI
  23. By: Komsan SURIYA

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