The econometric consequences of the ceteris paribus condition in economic theory

• Published in: Journal of econometrics Vol. 95; no. 2; pp. 223 - 253
• Main Authors: Bierens, Herman J., Swanson, Norman R.
• Format: Journal Article Conference Proceeding
• Language: English
• Published: Amsterdam Elsevier B.V 01-04-2000; Elsevier
• Series: Journal of Econometrics
• Subjects: Applications; Bayesian prior; Ceteris paribus; Econometrics; Economic theory; Exact sciences and technology; Fit; Information measure; Insurance, economics, finance; Mathematical economics; Mathematics; Missing variables; Probability and statistics; Real business cycle models; Reality bound; Sciences and techniques of general use; Statistics; Stochastic general equilibrium models; Stochastic processes; Fit; Real business cycle models; C52; Information measure; C32; E32; Ceteris paribus; Missing variables; Bayesian prior; Stochastic general equilibrium models; Reality bound; Bayes estimation; Missing data; Stochastic model; Business model; Economic model; Real business cycle model; A priori estimation; Reality testing; General equilibrium model; Econometrics
• ISSN: 0304-4076; 1872-6895
• DOI: 10.1016/S0304-4076(99)00038-X

The
ceteris paribus condition in economic theory assumes that the world outside the environment described by the theoretical model does not change, so that it has no impact on the economic phenomena under review. In this paper, we examine the econometric consequences of the
ceteris paribus assumption by introducing a `state of the world’ variable into a well specified stochastic economic theory, and we show that the difference between the conditional distribution implied by the theoretical model and the actual conditional distribution of the data is due to different ways of conditioning on the state of the world. We allow the `state of the world’ variable to be, alternatively and equivalently, an index variable representing omitted variables, or a discrete random parameter representing a sequence of models. We construct a probability that can be interpreted as the upperbound of the probability that the
ceteris paribus condition is correct. The estimated upperbound can in turn be interpreted as a measure of the information about the data-generating process that is provided by a theoretical model which is constrained by a set of
ceteris paribus assumptions. In order to illustrate our findings from both a theoretical and an empirical perspective, we examine a linearized version of the real business cycle model proposed by King Plosser, and Rebello (1988b. Journal of Monetary Economics 21, 309–341).