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Computational Economics 2001: Vol 17-18 Index PDF

5 Pages·2001·0.4 MB·English
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Preview Computational Economics 2001: Vol 17-18 Index

Author Index to Volumes 17 and 18 Acedo, F., 18, 233 Jukic, B., 17, 203 Amman, H.M.., 18, 25] Kelly, D.L., 18, 217 Beaumont, P., 17. 179 Kolstad, C.D., 18, 217 Bell, A.M., 18, 89 La Poutré, H., 17, 253 Belsley, D.A.. 17. 123 Leimbach, M., 18, 173 Benito, F., 18, 233 Li, M., 17, 203 Birge, J.R., 17, 93 Lise,W ., 18, 14] Bruckner, T., 18, 173 McNulty, M.S., 17, 265 Calpin, J.A., 17, 14] Nagurney, A., 17, 1, 5, 29 Castellano, R., 17, 239 Norman, A., 18, 259 Chou, J., 18, 259 Odejar, M.A.E., 17, 265 Chowdhury, M., 18, 259 Page, S.E., 18, 25 Collard, F., 17, 125 Payne, K., 18, 259 Colucci, D., 17, 155 Rajan, M., 18, 259 Corradi, G., 18, 273 Ramachandran, R., 17. 179 Dalal, A., 18, 259 Rubia, A., 18, 233 Del Hoyo, J., 17, 219 Salisbury, M.R., 17, 14] Dong, J., 17, 5, 29 Stahl, D.O., 17, 203 Duraiappah, A.K., 18, 137, 193, 25 Supatgiat, C., 17, 93 Edmonds, B.. 18, 113 lesfatsion, L., 18, | Epstein, J.M., 18, 9 Tol, R.S.J., 18, 137, 159 Falco, A., 18, 233 Torres,J ., 18, 233 Fortson, K., 18, 259 Tourin, A., 17, 43 Geman, H., 17, 8] Van Bragt, D., 17, 253 Giacometti, R., 17, 239 Van Kemenade, C., 17, 253 Guillermo Llorente, J.. 17. 219 Vitkevich Jr., J.A., 17, 14] Gupta, A., 17, 203 Whinston, A.B., 17, 203 Hauk, E., 18, 65 Wilhite, A., 18, 49 Hodder, J.E.. 17. 43 Woodward, D.R., 17, 141 Jindal, M., 18, 259 Zariphopoulou, T., 17, 43 Jones, C.K., 18, 287 Zhang, R.Q., 17, 93 Juillard, M., 17, 125 ae Computational Economics 18: 319-320, 2001 Subject Index to Volumes 17 and 18 agent-based computational economics. electric power, 17, 93 > 18,1, 9,49, 113 EM algorithm, 17, 265 agent-based economics, 17. 253 environmental degradation, 18, 25] algorithm, 18, 14] equilibrium, 18, 25 approximation, 17, 155 equilibrium problems, 18, 273 irbitrage, 18, 233 estimation procedure, 18, 141 artificial economics, 18, 49 evolution of norms, 18, 9 asset pricing, 17, 219, 18, 233 evolutionary algorithms. 177. 24 53 evolutionary selection schemes, 17, bidding, 17, 93 Brownian motion, 17, 219 federation, 17, 141 financial equilibrium, 17, 5, 29 calendar anomalies, 18. fractional integration, 17, 179 climate change, 18, 159, 2 climate policy, 18, 173 game theory, 18, 25] coalition formation, 18. GAMS, 18, 193 cognition, 18, 113 GARCH, 17, 239 cointegration, 17, 179 GARMA models, 17, 179 comovement, 17, 179 genetic programming, 18, 113 complex systems, 18, 89 Gibbs sampling, 17, 265 computational, 18, 193 gradient constraints, 17, 43 computational ability, 17, 155 high level architecture, 17, 141 conflict resolution, 18, 25] HLA, 17, 141 conjugate priora, 17, 265 consumer economics, 18, 259 institutional failure, 18, 25] control theory, 18, 173 integrated, 18, 193 coordination, 18, 25 integrated assessment, 18, 173, 217 count-data, 17, 203 international asset pricing, 17, 43 cross-section data, 18, 14] international interest rates, 17, 179 internet-demand, 17, 203 data augmentation, 17, 265 iterated prisoner’s dilemma, 17, 253 description, 18, 113 Dickey—Fuller tests, 17, 179 land tenure, 18, 25] digital signal processing, 18, 287 Laplace transform, 17, 81 distributed simulation, 17, 141 learning, 18, 65, 113 dynamic programming, 18, 217 learning in games, 18, 89 dynamical systems, 17, 155 long memory processes, 17, 179 LQ games, 18, 159 320 SUBJECT INDTO EVOLXUME S AND Markov Chain Monte Carlo method. R~, 17, 219 17, 265 ee 7 matching, 18, 65 rational-expectations, 17, 125 = mathematical finance, 18, »4?4 reinforcement learning, 18, 89 merit functions, 18, 273 modelling, 18, 113 self-organization, 18, 2~ 5 Monte Carlo simulations, 17, 81, 219 shadowing property, 17, 155 moving-window tests, 17, 219 shipping costs, 17, 43 multicriteria decision making, 17, 24 simulation, 17, 14] small-world networks, 18, 49 Nash equilibrium, 17, 93 specification search, 17, 219 networks, 17, 5 stability analysis, 17, 219 neural networks, 18, 217 state-dependent weights, 17, 29 non-linear, 18, 193 Statistical significance, 17, 219 noncooperative games, 18, 14] stochastic portfolio selection, 17, 239 nonlinear models, 17, 125 stochastic simulations, 17, 125 nonparametrics, 17, 203 stochastic switching regression model, numerical solution methods, 18, 217 17, 265 stochastic time changes, 17, 8] optimal emission control, 18, 159 Strategy search, 18, 113 optimization, 18, 193 option, 17, 239 theory, 18, 259 tolerable windows approach, 18, 173 partner selection, 18, 65 trade networks, 18, 49 path-dependent options, 17, 81 (two-person symmetric games, 18, 141 political risk, 17, 43 portfolio optimization, 17, 5, 29, 18, 287 value functions, 17, 29 portfolio theory, 18, 287 variational inequalities, 17, 5, 29, 43 posterior mean, 17, 265 18, 273 prisoner's dilemma, 18, 65 VISCOSIty solutions, 17, 43

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