Appendices to: Exchange Rate Regimes Jeffrey Frankel Harpel Chair, Harvard University IMF Institute April 27,

2. Appendices Tables comparing economic performance of different regimes Do exchange rate regimes have real effects? The case of the euro�s effect on trade Emigrants� remittances More on the synthesis technique for estimating de facto exchange rate regimes. Proposal to Peg the Export Price

3. Appendix I Tables comparing economic performance of different regimes: Ghosh, Gulde & Wolf Sturzenegger & Levy-Yeyati Reinhart & Rogoff

10. Appendix II:Do exchange rate regimes make a �real� difference? I.e., do nominal regimes affect real variation? Some theoretical models say they don�t, that they only determine whether real shocks show up in the form of nominal exchange rates or prices. History says they do. -- e.g., Mussa (1986): The final nail in the coffin was Alan Taylor�s (2002) century-of-PPP study.

13. Exchange rate variability across a century of regimes Each observation is a country-regime. Adapted from A.Taylor (2002).

14. Appendix III: The case of the euro�s effect on tradeFrankel, �The Estimated Effects of the Euro on Trade:�Why are They Below Historical Evidence on Effects of Monetary Unions Among Smaller Countries?�in Europe and the Euro, edited by A.Alesina & F.Giavazzi, 2010. Gravity estimates of effect of � on intra-EMU trade in the first decade show the coefficient steady � 15% . << estimates of other Monetary Unions� effects (x2 or x3) No evidence that the gap is explained by a MU effect that diminishes with country size, or is subject to long lags.

16. A natural experiment:The effects of the French franc�s conversion to � on bilateral trade of African CFA members. The long-time link of CFA currencies to the French franc has clearly always had a political motivation. So CFA-France trade could not reliably be attributed to currency link, perhaps even after controlling for common language, former colonial status, etc. But in Jan. 1999, 14 CFA countries suddenly found themselves with the same currency link to Germany, Austria, Finland, etc. No economic/political motivation. A natural experiment. If CFA trade with these other countries has risen, that suggests a � effect that we can declare causal.

17. Results of CFA experiment The dummy variable representing when one partner is a CFA country and the other a � country has a highly significant coefficient of .57. Taking the exponent, the point estimate is that the euro boosts bilateral trade between the relevant African and � countries by 76%.

18. Bottom line on discrepancy in � effect The large effect of monetary unions on developing countries is real. Tentative conclusion: Although monetary unions don�t have larger effects on small countries per se, They do have larger effects on poor countries per se.

19. Appendix IV. Emigrants� remittances: Brief literature summary Theory Chami et al (2008): remittances are macroeconomically stabilizing. Martin (1990): steady flow of remittances can undermine the incentive for governments to create a sound institutional framework � a sort of natural resource curse for remittances.  Bilateral Data Ratha & Shaw (2005), in the absence of hard bilateral data, allocate the totals across partners. Schiopu & Siegfried (2006) created bilateral data set between some EU countries & neighbors. Jim�nez-Martin, Jorgensen, & Labeaga (2007) estimate bilateral workers� remittance flows from all 27 members of the EU. Lueth & Ruiz-Arranz (2006, 08) have largest bilateral data set to date.

20. Literature review: cyclicality of remittances Evidence on cyclicality World Bank: p.c. remittances respond significantly to home country p.c.income. Clarke & Wallstein (2004) & Yang (2007): receipts rise in response to natural disaster. Kapur (2003): they go up in response to an economic downturn. Lake (2006): remittances into Jamaica respond to the US-local income difference Yang and Choi (2007): they respond to rainfall-induced economic fluctuations. IMF finds less countercyclicality. Sayan (2006): 12-developing-country study finds no countercyclicaty. Lueth & Ruiz-Arranz (2006, 2008): similarly. Evidence on the Dutch Disease. On the one hand, Rajan & Subramanian (2005): although the Dutch Disease analogy does extend to foreign aid (leading to real appreciation & slow growth), it does not extend to remittances. On the other hand, Amuendo-Dorantes & Pozo (2004): an increase in remittances to LACA countries leads to real appreciation, a major symptom of Dutch Disease. OCA Singer (2008): counter-cyclical remittances are a determinant of the currency decision.

21. Are Bilateral Remittances Countercyclical? Frankel (2011a) I combine the three substantial data sets on bilateral remittances: Lueth & Ruiz-Arranz (2006, 2008), for an eclectic set of countries (mostly in Europe & Asia), thanks to their generosity in supplying the data. Jim�nez-Martin, Jorgensen, & Labeaga (2007) for EU sending countries. For Central American receiving countries (incl. DR, El Salvador & Panama) Result: evidence of countercyclicality. Highly significant positive coefficient on cyclical difference between home & sending countries.

24. Shambaugh (2007) again finds:the de facto classification schemes tend to agree with each other even less than they agree with the de jure scheme.

25. The IMF has its own �de facto classification� -- still close to official IMF one.B�nassy-Qu�r� et al (2004): correlation (BOR, IMF) = .76

26. ? log Ht = c + w(1) ?log$ t + w(2) ?log�t + w(3) ?log�t+ w(4) ?log�t + � {? EMPt} + ut where ? EMPt = ?logH t + (?Rest /MBt.).

28. Illustration using 5 currencies These are 5 emerging market currencies of interest all of which now make available their data on reserves on a weekly basis (which is necessary to get good estimates, if structural changes happen as often as yearly) Mexico (monetary base is also available weekly) Chile, Russia, Thailand, India (although reserves available weekly, denominator must be interpolated from monthly monetary base data)

29. Overview of findings For all five, the estimates suggest managed floats during most of the period 1999-2009. This was a new development for emerging markets. Most of the countries had had some variety of a peg before the currency crises of the 1990s. But the Bai-Perron test shows statistically significant structural breaks for every currency, even when the threshold is set high, at the 1% level of statistical significance.

30. Table 1A reports estimation for the Mexican peso 5 structural breaks The peso is known as a floater. To the extent Mexico intervenes to reduce exchange rate variation, $ is the primary anchor, but some weight on � also appears, starting in 2003. Aug.2006 - Dec.2008, coefficient on EMP is essentially 0, surprisingly, suggesting intervention around a $ target. But in the period starting Dec.2008, the peso once again moved away from the currency to the north, as the full global liquidity crisis hit and $ appreciated.

32. Tables 1B-1E Chile (with 3 estimated structural breaks) appears a managed floater throughout. The anchor is exclusively the $ in some periods, but puts significant weight on the � in other periods.  Russia (3 structural breaks) is similar, except that the $ weight is always significantly less than 1.  For Thailand (3 structural breaks), the $ share in the anchor basket is slightly > .6, but usually significantly < 1. The � & � show weights of about .2 each Jan.1999-Sept. 2006.  India (5 structural breaks) apparently fixed its exchange rate during two of the sub-periods, but pursued a managed float in the other four sub-periods. $ was always the most important of the anchor currencies, but the � was also significant in four out of six sub-periods, and the � in two.

33. Future research Results for the other currencies, often requiring weekly interpolation between monthly reserve figures are reported in Frankel & Wei (2008) or, with endogenous break points, will be forthcoming. Next econometric extension: Threshold Autoregression for target zones.

35. How would it work operationally, say, for a Gulf oil-exporter? Each day, after noon spot price of oil in London S($/barrel), the central bank announces the day�s exchange rate, according to the formula: E (dirham/$) = fixed target price P (dirham/barrel) / S($/barrel). It intervenes in $ to hold this exchange rate for the day The result is that P (dirham/barrel) is indeed fixed from day to day.

36. Does floating give the same answer? True, commodity currencies tend to appreciate when commodity markets are strong, & vice versa Australian, Canadian & NZ $ (e.g., Chen & Rogoff, 2003) South African rand (e.g., Frankel, 2007) Chilean peso and others But Some volatility under floating appears gratuitous. Floaters still need a nominal anchor.

37. The Rand, 1984-2006:Fundamentals (real commodity prices,real interest differential, country risk premium, & l.e.v.) can explain the real appreciation of 2003-06 � Frankel (SAJE, 2007).

38. Why are PEP & PPT better than CPI-targetingfor countries with volatile terms of trade ? Better response to adverse terms of trade shocks: If the $ price of imported commodity goes up, CPI target says to tighten monetary policy enough to appreciate currency. Wrong. (E.g., oil-importers.) If the $ price of the export commodity goes up, PEP (or PPT) says to tighten monetary policy enough to appreciate currency. Right. (E.g., Gulf currencies.)

39. PEP, in its strict form, has some disadvantages Passes every fluctuation in world commodity prices straight through to domestic-currency prices of other Traded Goods, creating high volatility Even for countries where non-commodity TGs are a small share of the economy, some would like to nurture this sector, so as to encourage diversification in the long run. Exposing it to full volatility could shrink non-commodity TG sector The volatility is undesirable, in particular, for those short-term fluctuations that are likely to be reversed.

40. Moderate versions of the proposal Target a broader Export Price Index (PEPI). 1st step for any central bank dipping its toe in these waters: compute monthly export price index. 2nd step: announce that it is monitoring the index. Target a basket of major currencies ($, �, �) and minerals. The still more moderate version is PPT:target a monthly index of product prices. Key point: exclude import prices from the index, & include export prices. Flaw of CPI target: it does it the other way around.