It takes the average reader 5 hours to read Bayesian Estimation of DSGE Models by Edward P. Herbst
Assuming a reading speed of 250 words per minute. Learn more
Dynamic stochastic general equilibrium (DSGE) models have become one of the workhorses of modern macroeconomics and are extensively used for academic research as well as forecasting and policy analysis at central banks. This book introduces readers to state-of-the-art computational techniques used in the Bayesian analysis of DSGE models. The book covers Markov chain Monte Carlo techniques for linearized DSGE models, novel sequential Monte Carlo methods that can be used for parameter inference, and the estimation of nonlinear DSGE models based on particle filter approximations of the likelihood function. The theoretical foundations of the algorithms are discussed in depth, and detailed empirical applications and numerical illustrations are provided. The book also gives invaluable advice on how to tailor these algorithms to specific applications and assess the accuracy and reliability of the computations. Bayesian Estimation of DSGE Models is essential reading for graduate students, academic researchers, and practitioners at policy institutions.
Bayesian Estimation of DSGE Models by Edward P. Herbst is 295 pages long, and a total of 75,225 words.
This makes it 100% the length of the average book. It also has 92% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 6 hours and 51 minutes to read Bayesian Estimation of DSGE Models aloud.
Bayesian Estimation of DSGE Models is suitable for students ages 12 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
When deciding what to show young students always use your best judgement and consult a professional.
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