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This study examines the tradeoffs faced by policymakers in managing exchange rates, monetary policies, and capital mobility. It explores the costs and benefits of fixed and floating exchange rate regimes and analyzes the implications of the Trilemma theory. Using economic models and empirical analysis, the study provides insights into the relationship between interest rates and exchange rate regimes.
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The Trilemma in History: Tradeoffs Among Exchange Rates, Monetary Policies, and Capital Mobility Obstfeld, Shambaugh & Taylor (2005)
Overview • Hypotheses • Regimes with fixed exchange rates will experience less monetary policy autonomy. • Regimes with restrictions on capital mobility will experience more monetary policy autonomy.
Motivation • The exchange rate is the price of one currency in terms of another. • Appreciation: Increase in the value of a currency • Depreciation: Decrease in the value of a currency. • Fixed vs. floating exchange rate regimes • Advanced economies :: floating rates are the norm • Euro area is a notable exception • Developing countries and emerging markets :: fixed exchange rate regimes still common. • This is true despite the potential for exchange rate crises.
Motivation • Fixed vs. floating exchange rate regimes
Motivation • Two key questions in the fixed versus flexible exchange rate debate: • What are the costs of a fixed exchange rate? • What are the benefits? • Three common policy objectives: • Low exchange rate volatility • International capital mobility • Autonomy to implement stabilization policy.
Motivation Trilemma
Introduction • Trilemma :: theory tells us it is not possible to achieve all three objectives at once. • Floating exchange rate regime implies policymakers forgo objective #1. • Fixed exchange rate regime means giving up either #2 or #3. • Adjust interest rates to keep the exchange rate fixed, OR • Limit international capital flows, so restricting trade in the foreign exchange market.
Economic Model • Uncovered Interest Rate Parity (UIP) Condition • Assumption: capital flows freely across countries • Idea: Expected return on bank deposits must be equal in same currency terms. • Arbitrage: If the returns were different, then investors would flock to the country where the expected return is higher, causing an appreciation in that country’s currency.
Economic Model • Implications of UIP • Fixed exchange rate regime (peg): i = i* • The central bank must adjust the interest rate to keep the exchange rate from changing. • Shocks to foreign interest rate are absorbed in the domestic interest rate, implying domestic monetary policy shocks (shifts in MP). • Floating exchange rate regime (nonpeg) • Central bank free to adjust interest rate to stabilize output. • But, this means there is potential for larger changes in the exchange rate.
Economic Model • According to UIP, what should we find in the data on different exchange rate regimes? • Fixed exchange rate regime, free capital mobility • Changes in the foreign interest rate (base rate) should lead to one-for-one adjustments in the domestic rate. • Fixed exchange rate regime, no capital mobility • Changes in the foreign interest rate (base rate) have low predictive power for domestic interest rates. • Floating exchange rate regime, stabilization policy • Effects of changes in foreign interest rate are offset by changes in the domestic rate in the opposite direction.
Methodology • Variables: • Dependent variable: Domestic interest rate • Explanatory variable: Foreign interest rate (“base rate”) • Variables are measured in changes because for some countries, interest rates may be nonstationary. • Baseline Specification: (1) • Rit = Interest rate in country i at time t • Rbit = Interest rate in country i’s base country at time t
Methodology • Test: Fixed exchange rate regime, β = 1 • If β < 1, then central bank uses monetary policy to offset the effects of base-rate shocks on output. • If β > 1, then central bank uses monetary policy to reinforce the effects of base-rate shocks on output.
Data • Panel datasets of interest rates • Gold standard era • Sample: 1870-1914, 15 countries plus the United Kingdom • Source: Neal & Weidenmier (2003) • Base rate: U.K. (money market) • Bretton Woods era • Sample: 1959-1970, 21 countries • Source: Average monthly data from International Finance Statistics, Global Financial Data, and FRED. • Base rate: U.S. (federal funds rate)
Data • Panel datasets of interest rates • Post-Bretton Woods era • Sample: Average monthly money market rates, 1973-2000 • Source: IFS, Global Financial Data, Datastream, and FRED • Base rate: varies by country (Germany, France, U.K., U.S.)
Data • Identification of regime type
Data • Identification of regime type • Gold standard • Use both de jure (official) and de facto (in practice) classifications. • De facto test: Commitment to peg in practice (2% band for at least one year). • 13 peg episodes, 7 nonpeg episodes • Assume capital mobility.
Data • Identification of regime type • Bretton Woods • Nearly entire sample pegged according to de jure and de facto classifications. • 20 peg episodes, 1 nonpeg episode • Cannot use this era to study within-era regime switches. • Assume no capital mobility.
Data • Identification of regime type • Post-Bretton Woods • Shambaugh (2004) and de facto test applied to gold standard coding. • Robustness of results checked using a variety of methods: • de facto classifications from the IMF and Taylor (2002), • official de jure classifications, and • Reinhart and Rogoff (2004) classifications. • 70 pegs, 25 occassional pegs, 32 nonpegs. • IMF coding for capital control status.
Estimation :: Peg versus Nonpeg • Pegs versus nonpegs • Estimate (1) for each group of countries in each era. • Hypothesis: β= 1 for pegs, β < 1 for nonpegs. • Pooled estimation (2) with interaction term. • Hypothesis: β2 > 0
Results :: Pegs vs. Nonpegs • Nonpegs have lower βand lower R2, all eras. • i not as closely linked to i*. • Changes in the base rate have little predictive power for changes in the domestic rate. • Having a floating exchange rate allows the country to pursue autonomous monetary policy.
Results :: Pegs vs. Nonpegs • Bretton Woods: β < 0 and low R2. • Imposition of capital controls appears to have prevented one-for-one adjustments in the domestic rate. • Use of capital controls could explain why pegs have a low R2 relative to gold standard and modern eras. • Post-Bretton Woods: high βand low R2. • Nonpeg regimes more responsive to base rate changes compared with the gold standard nonpegs.
Results :: Pegs vs. Nonpegs • Pooled estimates • Regime choice affects no only intercept, but slope. • Peg regimes have a larger average change and are more responsive. • Nonpegs in the post-Bretton Woods era are generally more responsive than nonpegs under the gold standard.
Estimation :: Post-Bretton Woods • Further disaggregate regime according to capital controls. • Hypotheses: • Pegs: higher βand higher R2 • Capital controls: lower βand lower R2
Estimation :: Post-Bretton Woods • Interaction terms for peg and capital controls • PEG = 1 (if fixed exchange rate regime) • CAP = 1 (if no capital controls) • Hypotheses • β2 > 0 :: pegs more responsive to changes in base rate • β3 > 0 :: countries with capital mobility more responsive to changes in base rate • β4 > 0 :: pegs and capital mobility mean country more responsive to changes in base rate
Conclusion • Countries have historically faced the trilemma, and still do in the post-Bretton Woods era. • Measure of monetary policy autonomy: changes in interest rate relative to base rate. • Countries with pegged exchange rates and capital mobility have larger interest rate changes and are more responsive to changes in the base rate. • Theory predicts one-for-one adjustment for fixed regimes, but estimates are closer to 0.5. • True even for gold standard , widely viewed as a stricter than Bretton Woods or modern-day fixed regimes.
Conclusion • Bretton Woods achieve policy autonomy and pegs through imposing capital controls. • System broke down when capital controls relaxed in the 1960s. • In post-Bretton Woods era, countries more responsive to changes in base rate, even for nonpegs (vs. gold standard). • Perhaps countries choose not to implement autonomous policies, even when floating.
Possible Extensions • Possible to classify countries differently • Peg, float, and managed float • With the classifications used by Obstfeld, Shambaugh and Taylor (2005) and Shambaugh (2004), countries with managed floats might be counted as regime switches throughout the sample. • What would this tell us? • Countries with managed float should be able to “hedge” the trilemma problem.
Possible Extensions • Result that adjustment to base rate is less than one-for one is inconsistent with theory. • Possible omitted variable from the UIP condition? • Perhaps a risk premium, associated with credibility of the peg (currency risk) and probability of sovereign default (default risk).
Possible Extensions • Possible bias in samples • Fundamentally different countries across eras. • Gold standard and Bretton Woods samples are dominated by advanced economics. • Modern sample dominated by developing countries. • Implication • If there were a risk premium, this would drive a wedge between the interest rate and the base rate, especially for developing countries, biasing the estimate of b downward in the post-Bretton Woods sample.