Random coefficient models: theory and applications

This paper provides an overview of the rationale behind, and the implementation, and uses of, the random coefficient approach to econometric modeling. A simple random coefficient model is presented, and methods for estimating, testing, and validating such a model are described. A more general model is then presented. The general model is shown to include several fixed-coefficient models as special cases and can be estimated incorporating a variety of judgements concerning simplification. Finally, the paper reviews recent applications of random coefficient estimation. Copyright 1995 by Blackwell Publishers Ltd(This abstract was borrowed from another version of this item.)

[1]  C. Hildreth,et al.  Some Estimators for a Linear Model With Random Coefficients , 1968 .

[2]  Robert Schlaifer,et al.  On the interpretation and observation of laws , 1988 .

[3]  P. Swamy,et al.  Connections between GARCH and stochastic coefficients (SC) models , 1994 .

[4]  R. Conway,et al.  Forecasting livestock prices: Fixed and stochastic coefficients estimation comparisons , 1990 .

[5]  W. Diewert,et al.  Flexible Functional Forms and Global Curvature Conditions , 1989 .

[6]  Bharat R. Kolluri,et al.  What do regressions of interest rates on deficits imply , 1990 .

[7]  Efficient Computation of Stochastic Coefficients Models , 1992 .

[8]  Arthur B. Kennickell,et al.  Comparing forecasts from fixed and variable coefficient models: The case of money demand☆ , 1990 .

[9]  P. Swamy,et al.  Is it possible to find an econometric law that works well in explanation and prediction? The case of Australian money demand , 1990 .

[10]  D. Rubin,et al.  On the Nature and Discovery of Structure: Comment , 1984 .

[11]  R. L. Basmann.  Causality tests and observationally equivalent representations of econometric models , 1988 .

[12]  D. Lindley.  The 1988 Wald Memorial Lectures: The Present Position in Bayesian Statistics , 1990 .

[13]  Arnold Zellner,et al.  Causality and causal laws in economics , 1988 .

[14]  P. A. V. B. Swamy,et al.  Should fixed coefficients be re‐estimated every period for extrapolation? , 1989 .

[15]  C. Sims.  Policy Analysis with Econometric Models , 1982 .

[16]  P. A. V. B. Swamy,et al.  Bayesian and Non-Bayesian Analysis of Switching Regressions and of Random Coefficient Regression Models , 1975 .

[17]  R. Conway,et al.  Is the Phillips curve stable? A time-varying parameter approach , 1991 .

[18]  James O. Berger.  [The 1988 Wald Memorial Lectures: The Present Position in Bayesian Statistics]: Comment , 1990 .

[19]  R. Conway.  American Journol of Agricultural Economics , 1987 .

[20]  Kenneth S. Rogoff,et al.  Exchange rate models of the seventies. Do they fit out of sample , 1983 .

[21]  R. E. Kalman,et al.  A New Approach to Linear Filtering and Prediction Problems , 2002 .

[22]  Jeffrey C. Fuhrer.  Inferring Changes in Expectation Behavior over Time: An Application of Nonlinear Time-Varying-Parameters Estimation , 1992 .

[23]  P. A. V. B. Swamy,et al.  The out-of-sample forecasting performance of exchange rate models when coefficients are allowed to change , 1987 .

[24]  Peter A. Tinsley,et al.  Linear prediction and estimation methods for regression models with stationary stochastic coefficients , 1980 .

[25]  P. Swamy,et al.  Further thoughts on testing for causality with econometric models , 1988 .

[26]  A. Zellner.  On the Aggregation Problem: A New Approach to a Troublesome Problem , 1969 .

[27]  Robert B. Litterman,et al.  Forecasting and Conditional Projection Using Realistic Prior Distributions , 1983 .

[28]  Kenneth Rogoff,et al.  Was It Real? The Exchange Rate‐Interest Differential Relation over the Modern Floating‐Rate Period , 1988 .

[29]  P. Swamy.  Financial Deregulation, the Demand for Money, and Monetary Policy in Australia , 1987, SSRN Electronic Journal.

[30]  T. Breurch,et al.  A simple test for heteroscedasticity and random coefficient variation (econometrica vol 47 , 1979 .

[31]  Robert Schlaifer,et al.  On the Nature and Discovery of Structure: Rejoinder , 1984 .

[32]  Bruno de Finetti,et al.  Bayesianism: Its Unifying Role for Both the Foundations and Applications of Statistics , 1974 .