Ashley, Richard, Patterson, Douglas M., & Hinich, Melvin (1986). A diagnostic test for nonlinear serial dependence in time series fitting errorsJournal of Time Series Analysis, 7 (3), 165-178.
2.
Barnett, William A. (1980). Economic monetary aggregates: An application of index number and aggregation theoryJournal of Econometrics , 14, 11-48.
3.
Barnett, William A. (1987). The microeconomic theory of monetary aggregation In William Barnett and Kenneth Singleton (Eds.), New approaches to monetary economics, Proceedings of the Second International Symposium in Economic Theory and Econometrics (pp. 115-168). Cambridge: Cambndge University Press.
4.
Barnett, William A., & Chen, Ping (1986). Economic theory as a generator of measurable attractors. Mondes en Developpement, 14 (453); reprinted in I Prigogine and M. Sanglier, (Eds.), Laws of nature and conduct: Specificities and underlying themes (pp. 209-224). Brussels: GORDES.
5.
Barnett, William A., & Chen, Ping (1988a). The aggregation-theoretic monetary aggregates are chaotic and have strange attractors: An econometric application of mathematical chaos In William Barnett, Ernst Bemdt, and Halbert White (Eds.), Dynamic econometric modeling, Proceedings of the Third International Symposium in Economic Theory and Econometrics (pp. 199-246). Cambridge: Cambridge University Press.
6.
Bamett, William A., & Chen, Ping (1988b). Deterministic chaos and fractal attractors as tools for nonparametric dynamical econometric inferenceMathematical Computer Modeling, 10, 275-296.
7.
Barnett, William A., & Hmich, Melvin (1990). Has chaos been discovered with economic data? In Ping Chen and Richard Day (eds.), Evolutionary dynamics and nonlinear economics.Oxford: Oxford University Press, forthcoming.
8.
Brock, W.A., & Dechert, W.D. (1988). Theorems on distinguishing deterministic from random systems In William Barnett, Ernst Berndt, and Halbert White (Eds.), Dynamic econometric modeling, Proceedings of the Third International Symposium in Economic Theory and Econometrics (pp. 247-268). Cambridge: Cambridge University Press.
9.
Brock, W.A., Dechert, W.D., & Scheinkman, J. (1986). A test for independence based on the correlation dimension.University of Wisconsin-Madison and University of Chicago.
10.
Hinich, Melvm J. (1982). Testing for Gaussianity and linearity of a stationary time seriesJournal of Time Series Analysis , 3 (3), 169-176.
11.
Hinich, Melvm J., & Patterson, Douglas (1985). Identification of the coefficients in a non-linear time series of the quadratic typeJournal of Econometrics, 30 , 269-288;
12.
repnnted in William Barnett and Ronald Gallant (Eds.), New approaches to modelling, specification selection, and econometric inference , Proceedings of the First International Symposium in Economic Theory and Econometrics (pp. 270-288). Cambridge: Cambridge University Press, 1989.
13.
Hinich, Melvm J., & Patterson, Douglas (1989). Evidence of nonlinearity in the trade-by-trade stock market return generating process In William Barnett, John Geweke, and Karl Shell (Eds.), Economic complexity: Chaos, sunspots, bubbles, and nonlineanty, Proceedings of the Fourth International Symposium in Economic Theory and Econometrics (pp. 383-409). Cambridge: Cambndge University Press.
14.
Ramsey, James B., Sayers, Chera L., & Rothman, Philip (1988). The statistical properties of dimension calculations using small data sets: Some economic applicationsDepartment of Economics, New York University, New York, N.Y., August 16.
15.
Scheinkman, Jose, & LeBaron, Blake (1989). Nonlinear dynamics and GNP data In William Barnett, John Geweke, and Karl Shell (Eds.). Economic complexity. Chaos, sunspots, bubbles, and nonlinearity, Proceedings of the Fourth International Symposium in Economic Theory and Econometrics (pp. 213-227). Cambridge: Cambridge University Press.