The gold standard was quite stable in the past: price level changes were relatively small, and trade cycles mild. However, its past stability does not guarantee nowadays. We show that of to shocks stemming from world market depends critically on size monetary stock relative extent these shocks. Every change decreasing lowers stability. discuss some consequences thesis too: first, any system eco...

The author develops and estimates a quantitative dynamic-optimizing model of a small open economy (SOE) with domestic and import price stickiness and capital-adjustment costs. A monetary policy rule allows the central bank to systematically manage the short-term nominal interest rate in response to deviations of inflation, output, and money growth from their steadystate levels. The structural p...

I develop and estimate a monetary business cycle model with nominal loans and collateral constraints tied to housing values. Demand shocks move housing and nominal prices in the same direction, and are amplified and propagated over time. The financial accelerator is not uniform: nominal debt dampens supply shocks, stabilizing the economy under interest rate control. Structural estimation suppor...

When the zero lower bound on nominal interest rates binds, monetary policy cannot provide appropriate stimulus. We show that in the standard New Keynesian model, tax policy can deliver such stimulus at no cost and in a time-consistent manner. There is no need to use ine¢ cient policies such as wasteful public spending or future commitments to in‡ate. We conclude that in the New Keynesian model,...

A small, structural model of the monetary business cycle implies that real money balances enter into a correctly-specified, forward-looking IS curve if and only if they enter into a correctly-specified, forward-looking Phillips curve. The model also implies that empirical measures of real balances must be adjusted for shifts in money demand to accurately isolate and quantify the dynamic effects...

9:55 – 10:40 Rodney Strachan (University of Queensland) Reducing Dimensions in Large Time-varying Parameter VAR Models This paper proposes a new approach to estimating high dimensional time varying parameter vector autoregressive models (TVP-VARs). Such models are rarely used with more than 4-5 variables. However recent work has shown the advantages of modelling VARs with large numbers of varia...

We present a theory for reduced-order modelling of linear time-varying systems, together with efficient numerical methods for application to large systems. The technique, called TVP (Time-Varying Padk), is applicable to deterministic as well as noise analysis of many types of communication subsystems, such as mixers and switched-capacitor filters, for which existing model reduction techniques c...