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An estimated dynamic stochastic general equilibrium model of the ...

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1. IntroductionIn this paper we present and estimate a <strong>stochastic</strong> <strong>dynamic</strong> <strong>general</strong> <strong>equilibrium</strong> (DSGE) <strong>model</strong> for<strong>the</strong> euro area. Following Christiano, Eichenbaum and Evans (CEE, 2001) <strong>the</strong> <strong>model</strong> features anumber <strong>of</strong> frictions that appear to be necessary to capture <strong>the</strong> empirical persistence in <strong>the</strong> main euroarea macro-economic data. Many <strong>of</strong> <strong>the</strong>se frictions have become quite standard in <strong>the</strong> DSGEliterature. Following Kollmann (1997) and Erceg, Henderson and Levin (2000), <strong>the</strong> <strong>model</strong> exhibitsboth sticky nominal prices and wages that adjust following a Calvo mechanism. However, <strong>the</strong>introduction <strong>of</strong> partial indexation <strong>of</strong> <strong>the</strong> prices and wages that can not be re-optimised results in amore <strong>general</strong> <strong>dynamic</strong> inflation and wage specification that will also depend on past inflation.Following Greenwood, Hercowitz, and Huffmann (1988) and King and Rebelo (2000) <strong>the</strong> <strong>model</strong>incorporates a variable capital utilisation rate. This tends to smooth <strong>the</strong> adjustment <strong>of</strong> <strong>the</strong> rental rate<strong>of</strong> capital in response to changes in output. As in CEE (2001), <strong>the</strong> cost <strong>of</strong> adjusting <strong>the</strong> utilisationrate is expressed in terms <strong>of</strong> consumption goods. We also follow CEE (2001) by <strong>model</strong>ling <strong>the</strong> cost<strong>of</strong> adjusting <strong>the</strong> capital stock as a function <strong>of</strong> <strong>the</strong> change in investment, ra<strong>the</strong>r than <strong>the</strong> level <strong>of</strong>investment as is commonly done. Finally, external habit formation in consumption is used tointroduce <strong>the</strong> necessary empirical persistence in <strong>the</strong> consumption process (See Fuhrer (2000) andMcCallum and Nelson (1999)).While <strong>the</strong> <strong>model</strong> used in this paper has many elements in common with that used in CEE (2001),<strong>the</strong> analysis differs in two main respects: <strong>the</strong> number <strong>of</strong> structural shocks that are introduced and <strong>the</strong>methodology for estimating <strong>the</strong> DSGE <strong>model</strong>. We introduce a full set <strong>of</strong> structural shocks to <strong>the</strong>various structural equations. 1 Next to five shocks arising from technology and preferences (aproductivity shock, a labour supply shock, a shock to <strong>the</strong> household’s discount factor, a shock to <strong>the</strong>investment adjustment cost function, and a government consumption shock), we add three “costpush”shocks (<strong>model</strong>led as shocks to <strong>the</strong> mark-up in <strong>the</strong> goods and labour markets and a shock to<strong>the</strong> required risk premium on capital) and two monetary policy shocks. We estimate <strong>the</strong> parameters<strong>of</strong> <strong>the</strong> <strong>model</strong> and <strong>the</strong> <strong>stochastic</strong> processes governing <strong>the</strong> structural shocks using seven key macroeconomictime series in <strong>the</strong> euro area: real GDP, consumption, investment, <strong>the</strong> GDP deflator, <strong>the</strong>real wage, employment and <strong>the</strong> nominal short-term interest rate. Following recent developments inBayesian estimation techniques (see, e.g., Geweke (1999) and Schorfheide (2002)), we estimate <strong>the</strong><strong>model</strong> by maximising over <strong>the</strong> posterior distribution <strong>of</strong> <strong>the</strong> <strong>model</strong> parameters based on <strong>the</strong>linearised state-space representation <strong>of</strong> <strong>the</strong> DSGE <strong>model</strong>. The purpose <strong>of</strong> <strong>the</strong> estimation in thispaper is tw<strong>of</strong>old. First, it allows us to evaluate <strong>the</strong> ability <strong>of</strong> <strong>the</strong> new generation <strong>of</strong> New-Keynesian1CEE (2001) only consider <strong>the</strong> effects <strong>of</strong> a monetary policy shock. They estimate a subset <strong>of</strong> <strong>the</strong> structural parametersusing indirect inference methods by minimising <strong>the</strong> distance between <strong>the</strong> <strong>estimated</strong> impulse responses <strong>of</strong> a monetarypolicy shock in an identified VAR and those based on <strong>the</strong> DSGE <strong>model</strong>. There are also small differences in <strong>the</strong> <strong>model</strong>specification. For example, we <strong>general</strong>ise <strong>the</strong> indexation mechanism in goods and labour markets to allow for partialindexation. This allows us to estimate <strong>the</strong> degree <strong>of</strong> “backward-looking-ness” in <strong>the</strong> inflation and wage equation. On<strong>the</strong> o<strong>the</strong>r hand, our <strong>model</strong> does not include an interest rate cost channel.NBB WORKING PAPER No. 35 - October 2002 1

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