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Macroeconomic Effects of Capital Account Regulations

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Abstract

We analyze the effects of capital account regulations (CARs) across a large sample of emerging economies on a range of macroeconomic outcomes. We use composite indices of these regulations to capture their intensity in coverage and employ an instrumental variables strategy to overcome the endogeneity of regulations to outcomes. We estimate the effects of CARs on real exchange rate appreciation, foreign exchange pressure, crisis resilience, and post-crisis overheating using annual data from 1995 to 2011 for 51 emerging economies. We find that all CARs, except the financial sector-specific restrictions, reduce foreign exchange pressure and real exchange rate appreciation, contributing to greater macroeconomic stability. Our results further indicate that increasing the restrictiveness of CARs in the run-up to the crisis moderates the growth decline, thus enhancing crisis resilience, and that countries that used CARs experienced less overheating from capital inflow surges during post-crisis recovery. The latter two results imply that CARs are useful countercyclical policy instruments. Our estimates provide evidence in favor of models in which imperfect capital mobility can generate sustained effects on real exchange rates.

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Figure 1

Note: Indices are constructed based on the data from the IMF’s AREAER database. Numbers show the percentage of countries with a capital account regulation over time.

Figure 2

Note: Indices are constructed based on the data from the IMF’s AREAER database. Numbers show the average of CARs across countries over time.

Figure 3

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Notes

  1. See Schindler (2009) for a comparison of different classifications of regulations.

  2. For literature reviews, see Magud and others (2011); Klein (2012).

  3. The capital account regulation data we use are only available over this period and for these developing countries. See the Appendix Table A1 for the list of countries in our sample.

  4. There are also adverse (positive) effects of overvaluation (undervaluation) of real exchange rates on the economic growth of developing countries, which are well documented in the empirical literature (Rodrik 2008; Rajan and Subramanian 2011). Persistent appreciation may also lead to irreversible damage to the export sector that may justify exchange rate intervention (Caballero and Lorenzoni 2014).

  5. It focuses only on partial equilibrium effects tested in the empirical section of our paper, and it begins with the case of two goods: a tradable and a nontradable good. A Keynesian model, including tradable and nontradable sectors with imperfect substitution between domestic and external assets, would have similar results.

  6. The real exchange rate is officially defined as the price of a consumption basket of domestic goods expressed in terms of a consumption basket of foreign goods. All else equal, an increase in the relative price of nontradables raises the price of a consumption basket of domestic goods, which indicates a strictly monotonic relationship between the official real exchange rate and our measure \(p_{N}\).

  7. The partial derivatives of the utility function are expressed as \(u_{T}=\partial u \slash \partial c_{T,t}\) and similar for \(u_{N}\), \(u_{NT},\) etc. The assumption is that the tradable and nontradable goods are complements or mild substitutes in the utility function of domestic consumers such that \(u_{T}>0>u_{TT}\), \(u_{N}>0>u_{NN}\), and \(u_{NT}u_{T}-u_{N}u_{TT}>0\).

  8. The derivative is positive by our earlier assumptions for the utility function. We imposed the assumption that the two goods are complements or mild substitutes in the utility function of domestic consumers such that \(u_{T}>0>u_{TT}\), \(u_{N}>0>u_{NN}\), and \(u_{NT}u_{T}-u_{N}u_{TT}>0\).

  9. See Appendix B1. for a proof of these predictions.

  10. See Appendix Table A2 for the descriptions of and data sources for the variables used in this study.

  11. See Appendix Table A1 for a list of countries used in the study.

  12. The country list for each region is provided below the figure.

  13. The concept of exchange market pressure originates in the work of Girton and Roper (1977) who focused on quantifying the pressure in any exchange rate regime. This was formalized by Weymark (1995) and Weymark (1997), who defined the exchange market pressure on a currency as its positive (or negative) excess supply in the foreign exchange market in the absence of policy actions to eliminate that excess supply. As a result, in a pure float, the exchange market pressure is the observed depreciation, whereas in fixed or managed float regimes, the exchange market pressure is the depreciation-equivalent of excess supply based on the counterfactual of no intervention in the market. Other studies include Eichengreen and others (1995), Eichengreen and others (1996), Sachs and others (1996a), Corsetti and others (1998), Fratzscher (1998), Kaminsky and others (1998), Berg and Pattillo (1999), Tornell (1999), Bussiere and Mulder (2000), Pentecost and others (2001), Collins (2003), Frankel and Wei (2005), Frankel and Xie (2010), Frankel and Saravelos (2010), and IMF (2007, 2009).

  14. The list of countries for regional categories is provided below Figure 3.

  15. The source of variance in the presence of these agreements is primarily between-country variation rather than within-country variation. For example, the between-country standard deviation of bilateral investment treaties with the United States is 0.45, while the within-country standard deviation is only 0.19. Therefore, the identifying component of the variation is variation across countries rather than within countries. This does not pose an identification problem because the CARs that we predict using these instruments also vary largely across countries and much less within countries.

  16. Hallward-Driemeier (2003) does not find any statistically significant effects of bilateral investment treaties on FDI flows into developing countries. Tobin and Rose-Ackerman (2005) find that bilateral investment treaties negatively impact the ability to attract FDI at high levels of risk, positively affecting FDI only at low levels of risk. However, the majority of developing countries are classified as high risk.

  17. For a useful discussion of this issue, see Stock and others (2002). The partial F statistic of the excluded instruments, a statistic commonly used to test the strength of instruments is 11 percent for regressions using capital inflow regulations and outflow regulations and 6 percent for regressions using FX-related regulations. Using the Stock–Yogo weak identification test critical values, the IV relative bias decreases to between 10 and 15 percent. Because the OLS estimates in our case are close to zero, and the IV estimates are biased toward the OLS results in cases of weak instruments, the true coefficients are 10 to 15 percent higher than those reported in the left panel of Table 2. This point also applies to the IV regression estimates reported in Tables 3,  4, and  5.

  18. This finding indicates that increasing capital outflow restrictiveness is associated with a decline in foreign exchange pressure. This may result from investor perception that the cost of moving funds out of the country has risen, which might in turn induce them not to make inward investments in the first place. As this would reduce capital inflows, we would expect a decline in foreign exchange pressure. In recent years, however, some countries (e.g., South Africa and Thailand) have responded to surges in inflows by liberalizing outflows. In this case, we would expect reducing capital outflow restrictiveness to alleviate foreign exchange pressure. However, we do not find support for this mechanism.

  19. Joint significance tests failed to reject that the pairwise regulations are jointly significantly different from zero.

  20. See Rodrik (2008) for an empirical analysis of the determinants of undervalued real exchange rates and how they influence long-term growth.

  21. The estimates for financial sector restrictions remain insignificant in these regressions, although they continue to have the expected negative sign seen in columns (5) and (6) of Table 3.

  22. Joint significance tests failed to reject that the pairwise regulations are jointly significantly different from zero.

  23. Ostry and others (2012) find a significant effect for FX-related regulations if these are narrowly defined to cover only lending locally in foreign currencies and differential treatment of deposit accounts denominated in foreign currencies, excluding restrictions on purchases of locally issued securities denominated in foreign currencies and limits on open foreign exchange positions. Our results show that the composite index covering all of these restrictions is significantly and positively related to crisis resilience. We show the robustness of our results to alternative GDP growth decline measures in Table 9.

  24. The PWT variable \(pl \_ gdpo\) (called the price level of GDP from the output side (PPP / XR)) is equivalent to the real exchange rate. Rodrik (2008) uses the inverse of this variable to represent depreciation, and we use the variable itself to represent appreciation.

  25. We construct the bilateral real exchange rate (RER) as follows: \(RER = CPI/(E \times PPI_{US})\), where CPI is the home country’s consumer price index, E is the home country’s nominal exchange rate against the U.S. dollar (in units of home currency per dollar), and \(PPI_{US}\) is the producer price index for the United States. As our index represents appreciation, it is written as the inverse of Rodrik’s index, which represents depreciation.

  26. These capital control policy measures were also used by Klein (2012).

  27. The implicit function theorem states that for an implicit function of the form \(g(x,y)=0, x,y \in \mathfrak {R}\), provided continuity of the function and a nonzero denominator, then \(\frac{dy}{dx}=-\frac{(\partial g \slash \partial x)}{(\partial g \slash \partial y)}\).

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Authors and Affiliations

Authors

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Correspondence to Bilge Erten.

Additional information

* Bilge Erten is an Assistant Professor at the Department of Economics, Northeastern University, 43 Leon Street, 312A Lake Hall, Northeastern University, Boston, MA 02115-5000, USA; her email address is: b.erten@neu.edu. José Antonio Ocampo is a Professor of Professional Practice in International and Public Affairs, School of International and Public Affairs, Columbia University, New York, NY 10027, USA; his email address is: jao2128@columbia.edu. For their comments and suggestions, we would like to thank two anonymous referees, Gerald Epstein, Kevin Gallagher, Ilene Grabel, Jaromir Nosal, Jonathan Ostry, Mahvash Saeed Qureshi, Ricardo Reis, Peter Skott, Joseph Stiglitz, and Jón Steinsson and as well as seminar participants at the NBER DITE Workshop at Duke University, the LASA Conference, the International Economic Association Conference, the Northeastern University, University of Utah, and Wesleyan University. We are indebted to Jón Steinsson for generously answering our numerous questions. We thank Michael Klein for sharing his dataset for the replication of his results. All errors are, of course, our own.

Appendices

Appendix A

Additional Tables

Table A1 List of Countries
Table A2 Description and Sources of Variables
Table A3 Replication and Extension of Results in Table 7, Klein (2012)—Capital Controls and Change in Real Exchange Rate

Appendix B

Mathematical Appendix

B1. Derivation of the Bond Demand Function

When we substitute the market-clearing condition for nontraded goods \(c_{N,t}=y_{N,t}\), the utility function becomes \(u(c_{T,t})=u(c_{T,t},y_{N,t})\), and nontraded consumption and endowment cancel from the budget constraint:

$$c_{T,t}+p_{N,t}c_{N,t}+\frac{(1-\tau _{t+1})b_{t+1}}{R_{t+1}}=y_{T,t}+p_{N,t} y_{N,t}+b_{t}-T_{t} \qquad \qquad \qquad ({\rm B}.1)$$
$$c_{T,t}+p_{N,t}c_{N,t}+\frac{(1-\tau _{t+1})b_{t+1}}{R_{t+1}}=y_{T,t}+p_{N,t} c_{N,t}+b_{t}-T_{t} \qquad \qquad \qquad ({\rm B}.1^{\prime })$$
$$c_{T,t}+\frac{(1-\tau _{t+1})b_{t+1}}{R_{t+1}}=y_{T,t}+b_{t}-T_{t} \qquad \qquad \qquad ({\rm B}.1^{\prime\prime }).$$

The consumers budget constraint (1′), after substituting the government budget constraint \(T_{t}=\tau _{t+1}b_{t+1} \slash R_{t+1},\) becomes

$$c_{T,t}+\frac{(1-\tau _{t+1})b_{t+1}}{R_{t+1}}=y_{T,t}+b_{t}-\tau _{t+1}b_{t+1} \slash R_{t+1}$$
$$c_{T,t}=y_{T,t}+b_{t}-b_{t+1} \slash R_{t+1}.$$

Substituting this expression into the consumer’s Euler equation, we define an implicit function

$$F=(1-\tau _{t+1})u_{T}(y_{T,t}+b_{t}-b_{t+1} \slash R_{t+1}, c_{N,t})-\beta R_{t+1}u_{T}(y_{T,t+1}+b_{t+1}-b_{t+2} \slash R_{t+2}, c_{N,t+1})=0,$$

which satisfies

$$\frac{\partial F}{\partial b_{t+1}}=-(1-\tau _{t+1})u_{TT}(c_{T,t}, c_{N,t}) \slash R_{t+1}-\beta R_{t+1}u_{TT}(c_{T,t+1}, c_{N,t+1})>0$$
(B.2)
$$\frac{\partial F}{\partial R_{t+1}}=(1-\tau _{t+1})u_{TT}(c_{T,t}, c_{N,t})b_{t+1} \slash (R_{t+1})^{2}-\beta u_{T}(c_{T,t+1}, c_{N,t+1}) \gtrless 0$$
(B.3)
$$\frac{\partial F}{\partial \tau _{t+1}}=-u_{T}(c_{T,t}, c_{N,t}) < 0.$$
(B.4)

The first partial derivative (9) is always positive, which lets us implicitly define a demand function \(b_{t+1}(R_{t+1};\tau _{t+1})\) by the implicit function theorem.Footnote 27

The second partial derivative (10) is negative given that saving b is sufficiently high. Specifically, we rewrite the condition by multiplying (12) by \(R_{t+1}\) to derive b under which (12) is less than zero.

$$(1-\tau _{t+1})u_{TT}(c_{T,t}, c_{N,t})b_{t+1} \slash R_{t+1}-\beta R_{t+1}u_{T}(c_{T,t+1}, c_{N,t+1}) < 0$$

Substituting the Euler equation \((1-\tau _{t+1})u_{T}(c_{T,t}, c_{N,t})=\beta R_{t+1}u_{T}(c_{T,t+1}, c_{N,t+1})\) for the second term, we have

$$u_{TT}(c_{T,t}, c_{N,t})b_{t+1} \slash R_{t+1}-u_{T}(c_{T,t}, c_{N,t}) < 0$$

which we rearrange to

$$b_{t+1} \slash R_{t+1} > \frac{u_{T}(c_{T,t}, c_{N,t})}{u_{TT}(c_{T,t}, c_{N,t})}$$
$$\text {or} \; \; \; \frac{b_{t+1} \slash R_{t+1}}{c_{T,t}} > \frac{u_{T}(c_{T,t}, c_{N,t})}{c_{T,t}u_{TT}(c_{T,t}, c_{N,t})} \equiv -\sigma (c_{T,t}),$$

which states that the savings/consumption ratio is higher than the negative of the elasticity of intertemporal substitution \(\sigma (c_{T,t})\). We will refer to this condition as Assumption 1. If this inequality holds, the demand function \(b_{t+1}(R_{t+1};\tau _{t+1})\) is strictly increasing in \(R_{t+1}\), which can be inverted into a strictly increasing inverse demand function \(R_{t+1}(b_{t+1};\tau _{t+1})\).

The third partial derivative (11) is always negative—this is because of the assumption that the revenue from CARs is rebated so that CARs have only substitution effects and no income effects.

B2. Proofs

Proof of the First Prediction

Based on the derivation of the bond demand function, we use the implicit function theorem to obtain the partial derivatives listed below.

  1. 1.

    We implicitly differentiate consumer’s Euler function to express

    $$\frac{\partial b_{t+1}}{\partial \tau _{t+1}}=-\frac{\partial F \slash \partial \tau }{\partial F \slash \partial b}>0.$$

    Similarly, because \(R_{t+1}\) is constant, we can write

    $$\frac{\partial b_{t+1} \slash R_{t+1}}{\partial \tau _{t+1}}=\frac{\partial b_{t+1}}{\partial \tau _{t+1}}=-\frac{\partial F \slash \partial \tau }{\partial F \slash \partial b}>0.$$

    We implicitly differentiate consumer’s Euler function to show

    $$\frac{\partial c_{T,t}}{\partial \tau _{t+1}}=-\frac{\partial F \slash \partial \tau }{\partial F \slash \partial c_{T}}<0$$

    because the denominator is negative

    $$\frac{\partial F}{\partial c_{T,t}}=-(1- \tau _{t+1})u_{TT}(c_{T,t})<0$$
  2. 2.

    The derivative

    $$\frac{\partial p_{N,t}}{\partial \tau _{t+1}}=-\frac{\partial p_{N,t}}{\partial c_{T,t}} \frac{\partial c_{T,t}}{\partial \tau _{t+1}}<0$$

    is negative because the first term is positive and the second term is negative.

Proof of the Second Prediction

  1. 1.

    Under open capital accounts, first suppose an equilibrium with zero reserves \(a_{t+1}=0 \; \forall t\) and denote the associated level of private bond holdings by \(\tilde{b}_{t+1}\). When a policy authority accumulates/decumulates reserves \(a_(t+1) \ne 0\) in some periods, consumers would adjust their holdings of private bonds such that \(b_{t+1}=\tilde{b}_{t+1}-a_{t+1}\) to satisfy the optimality conditions by keeping all other variables unchanged. Therefore, in case of unconstrained access of consumers to capital markets, reserve accumulation loses its effectiveness. This is true even if the government uses price controls \(\tau _{t+1}\) to tax international capital flows since the real allocations of the consumer depend only on the level of capital controls \(\tau _{t+1}\) and not the level of reserves \(a_{t+1}\). Notice that this proposition is a form of Ricardian equivalence—a representative consumer internalizes that government bond holdings are equivalent to private bond holdings, and suffers therefore from the same limitations as Ricardian equivalence. It strictly relies on the assumption that consumers can access bond markets in the same conditions as governments. If the consumers cannot access bond markets in the same conditions as governments, which might be the case if they are perceived to be riskier by international lenders, then Ricardian equivalence fails to hold. Therefore, there might be a case of imperfectly open capital markets due to differences between the perceived riskiness of individuals and governments.

  2. 2.

    Closed capital accounts restrict private consumers to a zero international bond position \(b_{t+1}=0\). Therefore, reserve accumulation is the only borrowing/lending from international capital markets. Since consumers adjust their optimal allocation by reducing their tradable consumption, reserve accumulation constitutes forced saving and depreciates the real exchange rate. We can show this formally as follows. Since \(b_{t+1}=0\), \(c_{T,t}+a_{t+1}=y_{T,t}\). By substituting \(c_{T,t}=y_{T,t}-a_{t+1}\), we observe that the real exchange rate is a function of reserve accumulation and exogenous tradable and nontradable income under closed capital accounts:

    $$p_{N,t}=\frac{u_{N}(y_{T,t}-a_{t+1}, y_{N,t})}{u_{T}(y_{T,t}-a_{t+1}, y_{N,t})}.$$

    In order to show how the real exchange rate changes in response to a change in reserve accumulation, we take the derivative

    $$\frac{\partial p_{N,t}}{\partial a_{t+1}}=\frac{u_{NT} (-1) u_{T}-u_{N} u_{TT}(-1)}{(u_{T})^2}<0.$$

    The derivative is negative by our earlier assumptions of the utility function. This confirms that a rise in reserve accumulation depreciates the real exchange rate under closed capital accounts.

  3. 3.

    Since under open capital accounts a CAR \(\tau _{t+1}\) induces private consumers to accumulate \(b_{t+1}(R_{t+1};\tau _{t+1})\) bonds, it is equivalent to reserve accumulation \(a_{t+1}=b_{t+1}(R_{t+1};\tau _{t+1})\) under closed capital accounts. This implies that any level of reserve accumulation can be replicated by a proportional CAR given that bond holdings \(b_{t+1}(R_{t+1};\tau _{t+1})\) are strictly increasing in \(\tau _{t+1}\) and their range is \(\mathfrak {R}\).

Proof of the Third Prediction

We know from the first prediction that the first component of \(FXP_{t}\) responds negatively to a change in capital controls, i.e. the real exchange rate depreciates in response to a rise in capital inflows, \(\partial p_{N,t} \slash \partial \tau _{t+1}<0\).

In order to show how the second component of \(FXP_{t}\) responds to a change in capital controls, we need to show how reserve accumulation changes in response to a change in CARs. We take the derivative

$$\frac{\partial a_{t+1}}{\partial p_{N,t}} \frac{\partial p_{N,t}}{\partial \tau _{t+1}} <0.$$

The derivative is negative by our earlier assumption about the government’s reaction function and the first prediction. Therefore, the total effect of rise in CARs on \(FXP_{t}\) would be negative, i.e. \(\partial FXP_{t} \slash \partial \tau _{t+1}<0\).

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Erten, B., Ocampo, J.A. Macroeconomic Effects of Capital Account Regulations. IMF Econ Rev 65, 193–240 (2017). https://doi.org/10.1057/s41308-016-0013-1

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