2007
DOI: 10.1016/j.red.2006.10.002
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Model uncertainty and endogenous volatility

Abstract: This paper identifies two channels through which the economy can generate endogenous inflation and output volatility, an empirical regularity, by introducing model uncertainty into a Lucas-type monetary model. The equilibrium path of inflation depends on agents' expectations and a vector of exogenous random variables. Following Branch and Evans agents are assumed to underparameterize their forecasting models [Branch, W., Evans, G.W., 2006a. Intrinsic heterogeneity in expectation formation. Journal of Economic … Show more

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Cited by 72 publications
(37 citation statements)
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“…The achievement of the BRF approach (e.g. Evans 1985;Evans andHonkapohja 2001, 2003;Branch and Evans 2006, 2007, 2011Branch and McGough 2009;Branch and McGough 2011;De Grauwe 2011) is a drastic simplicity in describing the economy's dynamics, permitting transparent study of the macro implications of diverse beliefs. Dynamic stability and the impact of monetary policy are studied with relatively simple structures with clear results.…”
Section: The Impact Of Diverse Beliefs: a Brief Summary Of Results Inmentioning
confidence: 99%
“…The achievement of the BRF approach (e.g. Evans 1985;Evans andHonkapohja 2001, 2003;Branch and Evans 2006, 2007, 2011Branch and McGough 2009;Branch and McGough 2011;De Grauwe 2011) is a drastic simplicity in describing the economy's dynamics, permitting transparent study of the macro implications of diverse beliefs. Dynamic stability and the impact of monetary policy are studied with relatively simple structures with clear results.…”
Section: The Impact Of Diverse Beliefs: a Brief Summary Of Results Inmentioning
confidence: 99%
“…The analysis on autocorrelations and variances remains the same. 11 Notice that agents are assumed to know the exogenous dividend process and forecast it correctly. An exogenous dividend process is easier to forecast than endogenously determined equilibrium prices.…”
Section: The Modelmentioning
confidence: 99%
“…6 As shown theoretically above, the numerical results are independent of selection of the parameter values within plausible ranges, sample paths, initial values and distribution of noise. 7 In Figure 1a, we take β = 0.9. However in fact, α * is independent of β, as can be seen from (3.12).…”
Section: Numerical Analysismentioning
confidence: 99%