Table Of Content

a4 Computational Ec Author Index to Volumes 21 and 22 Alon-Brimer, Lawrenz, C., 21, 209 Belsley, D.A.. Leisch, F., 22, 285 Bohringer,¢ Leombruni, R., 22, 213 Borovkova, 5 Li, BX... 2a, Buchta, C. Marchesi, M.. Carrillo, S.., Mehta, J.S hang, I-I Meyer, D., 22, hen, B.. Montoro-Pons, J.D., 2 Chiarella, Palestrini, A., 22, 213 Chung, W., Pelloni, G., a 65 Cincotti, S., Polasek, W., Craddock. M Raberto, M.., Cribari-Net« Ragni, S.., - De Cesare. os R ee Dehling, H.. Ringhut, De Peretti, Ruocco, Di Liddo, Sadeh. A.., Eboli, M Shmilovici, El-Hassan, Starkweather,¢ Fair, R.¢ Stemp, me 21, 20 Forcardi, Suarez, A., 21, Swamy, ; “we_ Foschi, P. Fuller, J.D.. Szeto, K.Y.., Gallegati, M., Tavlas, Citiicibibiaemes: I lerraza, M..A Gerding, E., 22, 39 Tulleken, . Gil-Alana, L.A., 22, 23, 65 Turner, P., ts Hauser, S.. 22, 273 Van a - ; Herbert, R.D , 21, 203 Van Bragt, D.., Holly, S., 21, 195 Weeks, M.., 21. | Hornik, K., 22, 285 Westerhoff, | 212 09 Karatzoglou, A., 22, 285 Wiegard, W., Kong, C., 22, 163 Wilhite, as Kontoghiorghes, E.J., 21, 3 Winker, - Kooths, S., 2 Wu, Y.J., Kyrtsou,¢ Dele’ ce La Poutre, H.. Zarkos, S.G.., Ay Computational Economi 22- 305—306. 2003 Subject Index to Volumes 21 and 22 agent-based simulation, 22, 285 econometric simulation, 21, 2 iggregate employment fluctuations, 21, 65 econophysics, 22, 255 and dynamics, 22, 163 Efficient Market Hypothesis, 22, 2,773> irtificial financial markets, 22, 2 emergent organizations, 21, 107 artificial intelligence, 21, 173 empirical-likelihood, 22, | asset price dynamics, 22, equilibrium relationship, 21, 195 asset prices, nn, 255 evolution, 22, 163 associetive memory. 21, 87 evolutionary algorithms, 22, 39 asymmetric adjustment, 21, exchange rate theory, 21, 209 autoregressive models, 22, 2 expectation formation, 21, 173 autoregressive processes, 2 extended estimating equations, 22, | Extreme Value Theory, 21, 153 Bayesian networks, 21, 87 belief updating, 21, 87 fairness, 22, 39 bounded rationality, 21, 173 forecasting, 21, 257 forward shooting, 21, 203 C programming language, 21, 2 fractional integration, 22, 65 ( 27 93 fundamental solutions of PDE, CH, 22. 23 fuzzy systems, 21, 173 ( 7? 2 calibration, 22, 113 game theory, 22, 39 classified systems, 2211, 13 GARCH effects, 21, 25 cointegration, 21, 195 genetic algorithm, 21, 209 computable equilibrium, 21, 231 genetic algorithms, 22, 213 computable general equilibrium models, graphics, 21, 277 Zz, 13 green tax reforms, 22, 7 computational costs, 21, 8 concomitants, 22, 225 heterogeneous agents, context tree, 22, 273 heteroskedasticity, 21, cooperation, 21, 137 corrected size-power curves, 22, 18 imitation, 21, 137 correlation dimension, 21, 257 individual learning, 21, 137 customer loyality, 21, 107 information costs, 21, 87 innovation diffusion, 22, 173 decomposition methods, 21, 231 integral equations, 22, 113 design, 22, 285 intersectoral labour re-allocation, 21, 65 diffusion, 22, 139 inverse problems, 22, 113 dynamic programming, 21, 125 306 SUBJECT INDTO EVOLUXMES 21 AND 22 Kalman filtering, 21, 125 rational expectations, 21, 245 Kullback—Leibler information criterion, rational herding, 22, 213 22, 1 representative agent models, 21, 203 reverse shooting, 21, 203 Lagrange multiplier, 22, | risk analysis, 21, 153 long memory, 22, 65, 187 risk and uncertainty, 21, 125 Lyapunov exponents, scheduling, 2 Mackey~—Glass equation, 21, 25 seasonality, 22. market simulations, 22, semiparametric models, 22, | marketing models, 2 9 shooting methods, 21, 203 matrix factorizations, 21, 3 Shortfall, 21, 153 matrix programming language, 21, 2 Simulated Annealing, 22, 173 maximum likelihood estimation, 21, 2 simulation environment, 22, 285 MaxVaR, 21, 153 social dilemma, 21, 137 measurement-error biases, ; ) social learning, 21, 137 mixture models, 21, 153 software, 21, 173 Monte Carlo simulation, 21, 195, 277 solving dynamic stochastic models, multi-agents, 22, 163 21, 45 multi-issue bargaining, 22, 39 specialization, 21, 107 multiple attraction regions, 22, 139 stability, 22, 163 multiple bargaining opportunities, 22, 39 stochastic complexity stochastic simulation, 21, noisy chaos, 21, 257 SURE model, 21, 3 non-linearities, 21, 65 numerical approximation, 22, 173 teaching of economics, 22, 75 technical and fundamental trading rules, omitted-variable biases, 22, 2.27<5 21. 209 optimal control, 21, 245 tests. 22. 187 a _ optimal control problem, 22. 173 time series, 21, 23 optimal taxation, 22, 75 trade networks, 21, Ox, 21, 277 trading behaviour, trading strategies. P> vaiiuhee plots, 2927, | ® Turing machines, panel data, 22, 272 5 parametric and nonparametric bootstrap value of information, 21, 125 22, 187 Value-at-Risk, 21, 153 potential function, 22, 139 VAR-GARCH models, 21, 65 price modelling, 22, 13> 9 vector autoregressive processes, 21, 3 product lifecycle, 21, 125 volatility clustering, 21, 257 production process, 21, 125 pseudo-likelihood ratio tests, 22, | wealth distribution, 22, 255 quasi Monte Carlo, 21, Z73