How Useful Are Estimated DSGE Model Forecasts for Central Bankers?
نویسندگان
چکیده
منابع مشابه
Unexpected Banking Loan Losses in an Estimated DSGE Model
In spite of realizing more loss than expected and reserved provision in loaning process, some of our banks avoid recognizing the losses, through extension of the loan contracts and consequently do not shift the realized losses to their capital. With this in mind, the major objective of this study is to design a frame-work, through which we can explain the differences between the results of t...
متن کاملAn Estimated DSGE Model for the United Kingdom
We estimate the dynamic stochastic general equilibrium model of Christiano, Eichenbaum, and Evans (2005) on United Kingdom data. Our estimates suggest that price stickiness is a more important source of nominal rigidity in the U.K. than wage stickiness. Our estimates of parameters governing investment behavior are only well behaved when post-1979 observations are included, which reflects govern...
متن کاملAn Estimated DSGE Model of the Indian Economy
We develop a closed-economy DSGE model of the Indian economy and estimate it by Bayesian Maximum Likelihood methods using Dynare. We build up in stages to a model with a number of features important for emerging economies in general and the Indian economy in particular: a large proportion of credit-constrained consumers, a financial accelerator facing domestic firms seeking to finance their inv...
متن کاملAn Estimated Canadian DSGE Model with Nominal and Real Rigidities
This paper develops a dynamic, stochastic, general-equilibrium (DSGE) model for the Canadian economy and evaluates the real effects of monetary policy shocks. To generate high and persistent real effects, the model combines nominal frictions in the form of costly price adjustment with real rigidities modelled as convex costs of adjusting capital and employment. The structural parameters identif...
متن کاملHousing Market Spillovers: Evidence from an Estimated DSGE Model
We study sources and consequences of uctuations in the U.S. housing market. Slow technological progress in the housing sector explains the upward trend in real housing prices of the last 40 years. Over the business cycle, housing demand and housing technology shocks explain one-quarter each of the volatility of housing investment and housing prices. Monetary factors explain less than 20 percent...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Brookings Papers on Economic Activity
سال: 2010
ISSN: 1533-4465
DOI: 10.1353/eca.2010.0015