Foundations of Probability, Econometrics and Economic Games Series

Vol 1 - Expected utilty fair gambles and rational choice: original and cardinal utility; fair gambles and the St Petersburg Pradox; expected utilty - axioms and rationality; risk aversion and increasing risk. Vol2 - Paradoxes, ambuguity and rationality: ambiguity and rationality; alternative views of rationality; behavioral and psychological perspectives; generalised expected utility; regret prospects and disappointment. Vol 3 - Economic games, bargaining and solutions: bargaining and the emergence of games; the core; non-cooperative games and bargaining; empirical aspects of games; solution concepts and theories; probability and other issues. Vol 4 - Probabilty concepts, dialogue and beliefs: concepts of probability and statistics; elicidation and calibration; Bayesian dialogue and group discusions; beliefs - support and reality; possibilities and fuzziness. Vol 5 - Statistical foundations for econometrics: statistical inference; errors hypotheses and tests - criticisms and discussion; conventional treatmnets of estimation; alternative approaches to estimation. Vol 6 - Econometric Exploration and diagnosis: autocorrelation hetroscdaticity and multicollinearity; diagnostics, specification tests, and wider concerns; sequential analysis and pre-test complications; Langrange Multiliers and conflicting test criteria. Vol 7 - Preliminaries; the probabilty aproach and realted matters; the probabilty approach in retrospect; resistance; possitive appraisals of simultaneous-equations models. Vol 8 - Time series models, casualty and exogeneity: mimic cycles and simulation; calibration; time series models - estimation identification and intervention; causality and exoginiety; spectral approaches. Vol 9 - The reapraisal of econometrics: rational expectations; robustness and interactive criticism; specification search; encmpsing and testing; dismissal; the Keynes-Tinbrgen exchange revisited; time series connection. Vol 10 - Discrete and continuous systems, cointegration and chaos: system theory and general considerations; nonlinearities; chaos; cointegration; continuous models; long memory.