Timothy Kam
Australian National University
43 Papers
52 Citations
Timothy Kam is an academic researcher from Australian National University. The author has contributed to research in topics: Monetary policy & Inflation. The author has an hindex of 6, co-authored 41 publications. Previous affiliations of Timothy Kam include University of Western Australia & Sungkyunkwan University.
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Papers
Uncovering the Hit List for Small Inflation Targeters: A Bayesian Structural Analysis
TL;DR: In this paper, the authors estimate the underlying structural macroeconomic policy objectives of three of the earliest explicit inflation targeters within the context of a small open economy dynamic stochastic general equilibrium model.
Nominal Exchange Rate Determinacy Under the Threat of Currency Counterfeiting
TL;DR: In this article, the authors consider a two-country environment with two currencies which can be used to settle any transactions and show that the threat of counterfeiting can pin down the nominal exchange rate even when the currencies are perfect substitutes.
Nominal Exchange Rate Determinacy under the Threat of Currency Counterfeiting
TL;DR: In this paper, the authors consider a two-country environment with two currencies which can be used to settle any transactions and show that the threat of counterfeiting can pin down the nominal exchange rate even when the currencies are perfect substitutes.
Money, capital, and exchange rate fluctuations*
TL;DR: In this paper, the informational frictions underlying monetary exchange aect international exchange rate dynamics are explored, and the perfectly exible price model is capable of producing endogenously rigid international relative prices in response to technology and monetary shocks.
Regional economic growth disparities: A political economy perspective
Tomohito Okabe,Timothy Kam +1 more
TL;DR: In this paper, the authors build a political economy model of endogenous growth where regions have the same political institutions, but experience different (and estimable) distributions over voter political biases (i.e., our "political factors") and evaluate how much politics would have distorted agents' welfare and regional growth.
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