Abstract
The concept of Expectations is one of the most important developments in the last 50 years of Economic Theory. On the other hand, the popularity of nonlinear modeling techniques used in econometric studies has been increasing. In this study, Adaptive and Rational Expectation models are analyzed within the framework of nonlinear Threshold Regression models, and parameter estimation biases are provided with Monte Carlo simulation techniques. According to the results of this analysis, while the Adaptive Expectations model offers biased parameter estimation values based on nonlinear models, the Rational Expectation model offers unbiased parameter estimation values.
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