The Parameterized Expectations Approach: Some Practical Issues
AbstractThis code supports the text in Albert Marcet and Guido Lorenzoni, The Parameterized Expectations Approach: Some Practical Issues, in Ramon Marimon and Andrew Scott (eds), Computational Methods for the Study of Dynamic Economies, Chapter 7, Oxford University Press. This chapter describes the Parameterized Expectations Approach. Under PEA Conditional Expectations are treated as random functions, which are simulated in a Monte Carlo fashion. The integral is then approxiamed over the realized sample path. The chapter takes the reader step by step through this approach and six examples (of which the computer programs are available below) demonstrate the beauty and potential problems of this approach.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoSoftware component provided by Quantitative Macroeconomics & Real Business Cycles in its series QM&RBC Codes with number 128.
Programming language: Fortran
Date of creation: 1998
Date of revision:
reading list or among the top items on IDEAS.Access and download statisticsgeneral information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Christian Zimmermann).
If references are entirely missing, you can add them using this form.