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Project Rational Expectations 
General Results
This part of my work contributes to the solution of rational expectations model. In "Solution algorithm to a class of monetary rational equilibrium macromodels with optimal monetary policy design" I presented a method to solve rational expectations models even for the case that the influence of expectational errors on stable endogenous variables can not be eliminated. In this case, the expectational errors can be directly explained by the underlying fundamental shocks to the economy. Hence, solutions to the model still exist. However, those solutions are frequently characterized by indeterminacy issues. Fortunately, as it is demonstrated in "On boundary conditions within the solution of macroeconomic dynamic models with rational expectations", the model’s transversality constraint, when interpreted as a restriction on current growth rates, contains information, which can be used in order to reduce the degree of indeterminacy in the model’s solution. Therefore, this information helps to exclude a substantial subset of all those solutions obtained by either traditional solution methods or the methodology outlaid above. In "Solving NearRational Expectations Models: A (Linear?) Perturbation Approach." my coauthor Marco Maria Sorge and I discuss the role of firstorder approximate solutions to nearrational dynamic stochastic models. Under nearrationality, subjective beliefs are distorted away from rational expectations via a change of measure process which fulfills some regularity conditions. Our results show that equilibrium indeterminacy may arise even when the martingale representation of beliefs distortion depends on the economy's fundamentals solely. This provides theoretical support to the modeling assumptions of Woodford’s 2010 paper in American Economic Review 100, 274333.
Any comments on this line of work or the contributions presented above are highly appreciated. Please feel free to contact me with all your remarks or questions.

Monetary Economics, Macroeconomics, Computational Economics and Financial Stability 