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<strong>and</strong> foreign intermediate goods in investment goods is set to 1. As <strong>the</strong>re is no clear empirical<br />

evidence on this parameter, I have experimented with several di¤erent values. Our results<br />

are however robust to changing : As is common in <strong>the</strong> real business cycle literature, such as<br />

Hansen (1985), I set <strong>the</strong> share <strong>of</strong> labour in production to 0.64 <strong>and</strong> assume a 2.5% depreciation<br />

<strong>rate</strong> <strong>of</strong> capital per quarter. There is considerable uncertainty regarding <strong>the</strong> curvature <strong>of</strong><br />

<strong>the</strong> investment adjustment cost function s 00 (:): Christiano, et al (2005), who …rst proposed<br />

this speci…cation interpret 1=s 00 (:) as <strong>the</strong> elasticity <strong>of</strong> investment with respect to a 1 percent<br />

temporary increase in <strong>the</strong> current price <strong>of</strong> installed capital. Their empirical evidence suggests<br />

a value <strong>of</strong> s 00 (:) = 2:5. Smets <strong>and</strong> Wouters (2004), estimate this parameter using Bayesian<br />

techniques in <strong>the</strong> context <strong>of</strong> a model <strong>of</strong> <strong>the</strong> US economy. Their median estimate is around 6.<br />

Enders <strong>and</strong> Müller (2008) estimate s 00 (:) in an international real business cycle model, driven<br />

only by productivity shocks. Their estimates are between zero <strong>and</strong> 0.4. Groth <strong>and</strong> Kahn<br />

(2007) look at disaggregated data for <strong>the</strong> UK <strong>and</strong> <strong>the</strong> US <strong>and</strong> for <strong>the</strong> US …nd a value <strong>of</strong> <strong>of</strong><br />

0.17, much lower than Christiano’s estimate based on aggregate data. Given this uncertainty<br />

in <strong>the</strong> literature, I have chosen to set to 0.1. This is delibe<strong>rate</strong>ly small, thus ensuring that<br />

<strong>the</strong> results <strong>of</strong> <strong>the</strong> model are not unduly in‡uenced by a parameter for which <strong>the</strong> literature<br />

does not have a consistent value. This value <strong>of</strong> s 00 (:) allows <strong>the</strong> calib<strong>rate</strong>d model to come<br />

close to matching <strong>the</strong> relative volatility <strong>of</strong> investment to GDP. I perform sensitivity analysis<br />

below to ascertain whe<strong>the</strong>r <strong>the</strong> results <strong>of</strong> this paper are robust to my choice <strong>of</strong> s 00 (:).<br />

Table 1: Baseline calibration<br />

Preferences = 1=1:01; = 1; h = 1=3;<br />

Final goods tech v = (1 v ) = 0:88; = 2; = 1; ' = (1 ' ) = 1<br />

Intermediate goods =<br />

<br />

0:64; = 0:025;<br />

<br />

s 00 = 0:1<br />

0:906 0:088<br />

Shocks =<br />

0:088 0:906<br />

V [] = 10 4 0:726 0:187<br />

0:187 0:726<br />

<br />

The stochastic process for TFP is taken from <strong>the</strong> seminal work <strong>of</strong> Backus et al (1995)<br />

on international real business cycles. The home country in this calibration is assumed to be<br />

<strong>the</strong> United States. Matrix V [] in Table 1 above shows <strong>the</strong> variance-covariance matrix <strong>of</strong><br />

12

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