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Foundations of International Macroeconomics1 Workbook2 Maurice Obstfeld, Kenneth Rogoff , and Gita Gopinath Chapter 2 Solutions 1. (a) The current account identity can be written as Bs+1= (1+r)Bs+TBs. Now just plug in the assumed trade balance rule. (b) Using the answer to part a, for any 0, X s=t 1 1 + r st rBs= X s=t 1 1 + r st r1 + (1 )rstBt = rBt 1 1 + (1 )r 1 + r = (1 + r)Bt. (c) Under the rule above, debt grows without bound if t, (Et+1 Et)Ys= 1 st 1 t+1. (c) Substituting the last expression into the equation for the change in con- sumption derived in part a, we get the following Ct+1 Ct= r 1 + r t+1 “ 1 1 ! + 1 1 ! 1 1 + r + . 1 2 (1 + r)(1 ) . # = r 1 + r t+1 “ (1 + r) (1 )r 1 1 + r 1 + r !# = 1 + r 1 + r t+1. (3) As a result, provided that 0 1, the desire to smooth consumption makes consumption innovations more variable than output innovations. (d) The current account identity for date t + 1 is CAt+1= Bt+2 Bt+1= Yt+1+ rBt+1 Ct+1. Because Yt+1 EtYt+1= t+1and, by eq. (3) from part c above, Ct+1 EtCt+1= Ct+1 Ct= 1 + r 1 + r t+1, the preceding current account identity gives a current account innovation of t+1 1 + r 1 + r t+1 = 1 + r t+1 0. 17 Thus, a positive output innovation leads to a current account decit, as claimed at the end of section 2.3.3 in the book. 5. Work backward from the equation CAt+1 Zt+1 (1 + r)CAt= t+1, where t+1is uncorrelated with date t or earlier information. Taking expec- tations with respect to date t information yields EtCAt+1 EtZt+1 (1 + r)CAt= 0. The previous equation can be rearranged to express CAtas CAt= 1 1 + r EtCAt+1 1 1 + r EtZt+1. Through forward recursive substitution (and using the law of iterated condi- tional expectations ) we obtain CAt= X s=t+1 1 1 + r st EtZs because as j , 1 1+r j EtCAt+j 0. This is Campbells (1987) “saving for a rainy day” equation, eq. (43) in Chapter 2. The equation can alterna- tively be derived using the lag and lead operator methodology described in supplement C to Chapter 2. Start again with CAt+1 Zt+1 (1 + r)CAt= t+1 and take expectations with respect to date t information to get EtCAt+1 EtZt+1 (1 + r)CAt= 0. Using the lead operator we write this as L1CAt L1Zt (1 + r)CAt= 0, 18 or, dividing by 1 + r and rearranging, as 1 1 1 + r L1 CAt= 1 1 + r L1Zt. Inversion of the lag polynomial on the left-hand side above gives CAt= 1 1 + r 1 1 1 + r L1 1 EtZt+1 = 1 1 + r X s=t 1 1 + r st EtZs+1 = X s=t+1 1 1 + r st EtZs. To derive the converse, that the last equation implies CAt+1Zt+1(1+ r)CAt= t+1, one can simply reverse the steps above. 6. Write the expression for the current account as follows CAt=Zt Et e Zt= Zt r 1 + r Et X s=t 1 1 + r st Zs =Zt r 1 + r 1 1 1 + r L1 1 EtZt, where the last equality is suggested in the hint. Then, multiplying both sides by 1 1 1+rL 1, we have 1 1 1 + r L1 CAt= 1 1 + r (EtZt+1 Zt) = 1 1 + r L1EtZt Therefore, CAt= 1 1 + r L1Et X s=t 1 1 + r st Zs = X s=t+1 1 1 + r st EtZs. 19 7. Equation (75) in appendix 2A of the book shows that as time T passes and as B/Y along its unstable increasing trajectory, Bt+T+1/Yt+T+1 Bt+T/Yt+T (1 + r) 1 + g . Because Ys+1/Ys= 1+g, however, it follows that Bt+T+1/Bt+T (1+r) as T , that is, net foreign assets grow asymptotically at the growth rate of consumption. But the gross rate of consumption growth, (1+r), must be strictly below 1 + r if, as we have assumed, an individual optimal plan exists (see the discussion on p. 117 of the book). Thus the asymptotic gross growth rate of foreign assets is below 1 + r and the transversality condition lim T(1 + r) TBt+T+1 = 0 therefore is satised. 8. If permanent output uctuates more than current output, as is the case when output is a nonstationary random variable, then, as shown in exercise 4(d), a positive output innovation implies a decline in the current account: the intertemporal approach can therefore yield a countercyclical current ac- count. Also, in the presence of investment which enters the current account with a negative sign, the current account can worsen following a positive output innovation if is suffi ciently large. Refer to pp. 86-87 in the book for details. 9. (a) Diff erentiating the rms objective function with respect to Isand Ks, we get, respectively, qs= 1 + Is and qs= 1 1 + r As+1F 0(Ks+1) + qs+1. 20 (b) Combining the preceding two rst-order conditions, we get the following dynamic system for q and K: Kt+1 Kt= qt 1 , qt+1 qt= rqt At+1F 0 Kt+ qt 1 ! . (c) The phase diagram looks qualitatively the same as gure 2.9 in the book, which is based on eqs. (66) and (67) in Chapter 2. The dynamics of q and K and the slopes of the corresponding schedules are, however, quantitatively diff erent. For example, the slope of the q = 0 schedule now is dq dK q=0 = AFKK K + q 1 ! r 1 AFKK K + q 1 ! 0, not just in a neighborhood of the steady state, but globally. (Compare with the slope given on p. 109 of the book.) As in the slightly more complex q model of Chapter 2, the steady state is given by q = 1, AFK(K,L) = r. The steady state is independent of the adjustment costs, which determine only the speed of transition to the steady state. (d) Figure 2.9 can be used for the exercise. An unanticipated permanent rise in A shifts the q = 0 schedule immediately and permanently to the right, raising the steady state capital stock to K0. The unique convergent saddle- path SS also shifts to the right, becoming S0S0. Because the initial capital stock is given as K K0, q rises in the short run (to place the economy on its new saddle-path) and investment surges. Over time, however, q falls back to 1 and investment decreases as K K0. (e) The principle for analyzing anticipated shocks is the same as that ap- plied in gure 2.11. The rm learns on date t that productivity A will rise permanently to A0at a known future date T. Thus, the shifts described in 21 schedules described in part d occur only on date T. Nonetheless, the rm will adj
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