- •Preface
- •Contents
- •Chapter 1
- •1.1 International Financial Markets
- •Foreign Exchange
- •Covered Interest Parity
- •Uncovered Interest Parity
- •Futures Contracts
- •1.2 National Accounting Relations
- •National Income Accounting
- •The Balance of Payments
- •1.3 The Central Bank’s Balance Sheet
- •Chapter 2
- •2.1 Unrestricted Vector Autoregressions
- •Lag-Length Determination
- •Granger Causality, Econometric Exogeniety and Causal
- •Priority
- •The Vector Moving-Average Representation
- •Impulse Response Analysis
- •Forecast-Error Variance Decomposition
- •Potential Pitfalls of Unrestricted VARs
- •2.2 Generalized Method of Moments
- •2.3 Simulated Method of Moments
- •2.4 Unit Roots
- •The Levin—Lin Test
- •The Im, Pesaran and Shin Test
- •The Maddala and Wu Test
- •Potential Pitfalls of Panel Unit-Root Tests
- •2.6 Cointegration
- •The Vector Error-Correction Representation
- •2.7 Filtering
- •The Spectral Representation of a Time Series
- •Linear Filters
- •The Hodrick—Prescott Filter
- •Chapter 3
- •The Monetary Model
- •Cassel’s Approach
- •The Commodity-Arbitrage Approach
- •3.5 Testing Monetary Model Predictions
- •MacDonald and Taylor’s Test
- •Problems
- •Chapter 4
- •The Lucas Model
- •4.1 The Barter Economy
- •4.2 The One-Money Monetary Economy
- •4.4 Introduction to the Calibration Method
- •4.5 Calibrating the Lucas Model
- •Appendix—Markov Chains
- •Problems
- •Chapter 5
- •Measurement
- •5.2 Calibrating a Two-Country Model
- •Measurement
- •The Two-Country Model
- •Simulating the Two-Country Model
- •Chapter 6
- •6.1 Deviations From UIP
- •Hansen and Hodrick’s Tests of UIP
- •Fama Decomposition Regressions
- •Estimating pt
- •6.2 Rational Risk Premia
- •6.3 Testing Euler Equations
- •Volatility Bounds
- •6.4 Apparent Violations of Rationality
- •6.5 The ‘Peso Problem’
- •Lewis’s ‘Peso-Problem’ with Bayesian Learning
- •6.6 Noise-Traders
- •Problems
- •Chapter 7
- •The Real Exchange Rate
- •7.1 Some Preliminary Issues
- •7.2 Deviations from the Law-Of-One Price
- •The Balassa—Samuelson Model
- •Size Distortion in Unit-Root Tests
- •Problems
- •Chapter 8
- •The Mundell-Fleming Model
- •Steady-State Equilibrium
- •Exchange rate dynamics
- •8.3 A Stochastic Mundell—Fleming Model
- •8.4 VAR analysis of Mundell—Fleming
- •The Eichenbaum and Evans VAR
- •Clarida-Gali Structural VAR
- •Appendix: Solving the Dornbusch Model
- •Problems
- •Chapter 9
- •9.1 The Redux Model
- •9.2 Pricing to Market
- •Full Pricing-To-Market
- •Problems
- •Chapter 10
- •Target-Zone Models
- •10.1 Fundamentals of Stochastic Calculus
- •Ito’s Lemma
- •10.3 InÞnitesimal Marginal Intervention
- •Estimating and Testing the Krugman Model
- •10.4 Discrete Intervention
- •10.5 Eventual Collapse
- •Chapter 11
- •Balance of Payments Crises
- •Flood—Garber Deterministic Crises
- •11.2 A Second Generation Model
- •Obstfeld’s Multiple Devaluation Threshold Model
- •Bibliography
- •Author Index
- •Subject Index
5.2. CALIBRATING A TWO-COUNTRY MODEL |
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Figure 5.3: Hodrick-Prescott Þltered cyclical observations from the model. Investment has been shifted down by 0.10 for visual clarity.
This coarse overview of the one sector real business cycle model shows that there are some aspects of the data that the model does not explain. This is not surprising. Perhaps it is more surprising is how well it actually does in generating ‘realistic’ time series dynamics of the data. In any event, this perfect markets—no nominal rigidities ArrowDebreu model serves as a useful benchmark against which reÞnements can be judged.
5.2Calibrating a Two-Country Model
We now add a second country. This two-country model is a special case of Backus et. al. [5]. Each county produces the same good so we will not be able to study terms of trade or real exchange rate issues. The presence of country-speciÞc idiosyncratic shocks give an incentive to individuals in the two countries to trade as a means to insure each
150 CHAPTER 5. INTERNATIONAL REAL BUSINESS CYCLES
Table 5.2: Calibrated Closed-Economy Model
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other against a bad relative technology shock so we can examine the behavior of the current account.
Measurement
We will call the Þrst country the ‘US,’ and second country ‘Europe.’ The data for European output, government spending, investment, and consumption are the aggregate of observations for the UK, France, Germany, and Italy. The aggregate of their current account balances suffer from double counting and does not make sense because of intraEuropean trade. Therefore, we examine only the US current account, which is measured as a fraction of real GDP.
Table 5.3 displays the features of the data that we will attempt to explain–their volatility, persistence (characterized by their autocorrelations) and their co-movements (characterized by cross correlations). Notice that US and European consumption correlation is lower than the their output correlation.
The Two-Country Model
Both countries experience identical rates of depreciation of physical capital, long-run technological growth Xt+1/Xt = Xt+1/Xt = γ, have
5.2. CALIBRATING A TWO-COUNTRY MODEL |
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Table 5.3: Open-Economy Measurements |
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Notes: ext is US net exports divided by GDP. Foreign country aggregates data from France, Germany, Italy, and the UK. All variables are real per capita from 1973.1 to 1996.4 and have been passed through the Hodrick—Prescott Þlter with λ = 1600.
the same capital shares and Cobb-Douglas form of the production function, and identical utility. Let the social planner attach a weight of ω to the domestic agent and a weight of 1 −ω to the foreign agent. In terms of e ciency units, the social planner’s problem is now to maximize
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Et βj[ωU(ct+j) + (1 − ω)U(ct+j)], |
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subject to, |
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(5.28) |
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f(At , kt ) = At kt α, |
(5.29) |
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it + (1 − δ)kt, |
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(5.32) |
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In the market economy interpretation, we can view ω to indicate the size of the home country in the world economy. (5.28) and (5.29) are the
152 CHAPTER 5. INTERNATIONAL REAL BUSINESS CYCLES
Cobb—Douglas production functions for the home and foreign counties, with normalized labor input N = N = 1. (5.30) and (5.31) are the domestic and foreign capital accumulation equations, and (5.31) is the new form of the resource constraint. Both countries have the same technology but are subject to heterogeneous transient shocks to total productivity according to
" At |
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where (²t, ²t )0 |
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= Σ22 = |
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N(0, Σ). We set ρ = 0.906, δ = 0.088, Σ11 |
2.40e−4, and Σ12 = Σ21 = 6.17e−5. The contemporaneous correlation of the innovations is 0.26.
Apart from the objective function, the main di erence between the two-county and one-country models is the resource constraint (5.32). World output can either be consumed or saved but a country’s net sav-
ing, |
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account balance, can be non—zero |
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Let λt |
= (kt+1, kt+1, kt, kt , At, At , ct ) be the state vector, and indi- |
cate the dependence of consumption on the state by ct = g(λt), and
ct = h(λt) (which equals ct trivially). |
Substitute (5.28)—(5.31) into |
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g(λt) = f(At, kt) + f(At , kt ) − γ(kt+1 + kt+1), |
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+(1 − δ)(kt + kt ) − ct |
(5.34) |
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= |
h(λt) = ct . |
(5.35) |
For future reference, the derivatives of g and h are,
g1 = g2 = −γ,
g3 = fk(A, k) + (1 − δ), g4 = fk(A , k ) + (1 − δ),
g5 = f(A, k)/A, g6 = f(A , k )/A ,
g7 = −1,
h1 = h2 = · · · = h6 = 0, h7 = 1.
5.2. CALIBRATING A TWO-COUNTRY MODEL |
153 |
Next, transform the constrained optimization problem into an unconstrained problem by substituting (5.34) and (5.35) into (5.27). The problem is now to maximize
ωEt ³u[g(λt)] + βU[g(λt+1)] + β2U[g(λt+2)] + · · ·´ |
(5.36) |
+(1 − ω)Et ³u[h(λt)] + βU[h(λt+1)] + β2U[h(λt+2)] + · · ·´ . |
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At date t, the choice variables available to the planner are kt+1, kt+1, and ct . Di erentiating (5.36) with respect to these variables and rearranging results in the Euler equations
γUc(ct) |
= βEtUc(ct+1)[g3(λt+1)], |
(5.37) |
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βEtUc(ct+1)[g4(λt+1)], |
(5.38) |
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[(1 − ω)/ω]Uc(ct ). |
(5.39) |
(5.39) is the Pareto—Optimal risk sharing rule which sets home marginal utility proportional to foreign marginal utility. Under log utility, home and foreign per capita consumption are perfectly correlated, ct = [ω/(1 − ω)]ct .
The Two-Country Steady State
From (5.37) and (5.38) we obtain y/k = y /k = (γ/β+δ−1)/α. We’ve already determined that c = [ω/(1 − ω)]c = ωcw where cw = c + c is world consumption. From the production functions (5.28)—(5.29) we get k = (y/k)1/(α−1) and k = (y /k )1/(α−1). From (5.30)—(5.31) we get i = i = (γ + δ − 1)k. It follows that c = ωcw = ω[y + y −(i + i )] = 2ω[y − i].
Thus y − c − i = (1 − 2ω)(y − i) and unless ω = 1/2, the current account will not be balanced in the steady state. If ω > 1/2 the home country spends in excess of GDP and runs a current account deÞcit. How can this be? In the market (competitive equilibrium) interpretation, the excess absorption is Þnanced by interest income earned on past lending to the foreign country. Foreigners need to produce in excess of their consumption and investment to service the debt. In a sense, they have ‘over-invested’ in physical capital.
In the planning problem, the social planner simply takes away some of the foreign output and gives it to domestic agents. Due to the
154 CHAPTER 5. INTERNATIONAL REAL BUSINESS CYCLES
concavity of the production function, optimality requires that the world capital stock be split up between the two countries so as to equate the marginal product of capital at home and abroad. Since technology is identical in the 2 countries, this implies equalization of national capital stocks, k = k , and income levels y = y , even if consumption di ers, c 6= c .
Quadratic Approximation
You can solve the model by taking the quadratic approximation of the unconstrained objective function about the steady state. Let R be the period weighted average of home and foreign utility
R(λt) = ωU[g(λt)] + (1 − ω)U[h(λt)].
Let Rj = ωUc(c)gj + (1 − ω)Uc(c )hj, j = 1, . . . , 7 be the Þrst partial derivative of R with respect to the j−the element of λt. Denote the second partial derivative of R by
Rjk = ∂R(λ) = ω[Uc(c)gjk +Uccgjgk]+(1−ω)[Uc(c )hjk +Ucc(c )hjhk].
∂λj∂λk
(5.40) Let q = (R1, . . . , R7)0 be the gradient vector, Q be the Hessian matrix
of second partial derivatives whose j, k−th element is Qjk = (1/2)Rj,k. Then the second-order Taylor approximation to the period utility func-
tion is
R(λt) = [q + (λt − λ)0Q](λt − λ),
and you can rewrite (5.36) as
∞ |
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max Et βj[q + (λt+j − λ)0Q](λt+j − λ). |
(5.41) |
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Let Qj• be the j−th row of the matrix Q. The Þrst-order conditions
are
(kt+1) : 0 = R1 + βR3 + Q1•(λt − λ) + βQ3• (kt+1) : 0 = R2 + βR4 + Q2•(λt − λ) + βQ4•
(ct ) : 0 = R7 + Q7•(λt − λ).
(λt+1 − λ), (5.42) (λt+1λ), (5.43)
(5.44)
5.2. CALIBRATING A TWO-COUNTRY MODEL |
155 |
Now let a ‘tilde’ denote the deviation of a variable from its steady state
˜
value so that kt = kt − k and write these equations out as
˜ |
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βQ35 |
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βQ45 |
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0 |
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8 |
βQ36 |
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βQ46 |
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0 |
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9 |
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Q15 |
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Q25 |
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Q75 |
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10 |
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Q16 |
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Q26 |
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Q76 |
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11 |
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Q37 |
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Q47 |
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0 |
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12 |
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Q17 |
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Q27 |
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Q77 |
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13 R1 + βR3 |
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R2 + βR4 |
R7 |
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Mimicking the algorithm developed for the one-country model and using (5.47) to substitute out ct and ct+1 in (5.45) and (5.46) gives
0=
0=
˜ |
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˜ |
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˜ |
˜ |
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a˜1kt+2 |
+ a˜2kt+2 |
+ a˜3kt+1 + a˜4kt+1 + a˜5kt + a˜6kt |
+ a˜7At+1 |
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˜ |
˜ |
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+ a˜11, |
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(5.48) |
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+˜a8At+1 |
+ a˜9At + a˜10At |
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˜ ˜ |
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˜ ˜ |
˜ ˜ |
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˜ ˜ |
˜ ˜ |
˜ ˜ |
˜ |
˜ |
b1kt+2 |
+ b2kt+2 |
+ b3kt+1 |
+ b4kt+1 |
+ b5kt |
+ b6kt + b7At+1 |
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˜ ˜ |
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˜ ˜ |
˜ ˜ |
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(5.49) |
+b8At+1 |
+ b9At + b10At |
+ b11. |
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156 CHAPTER 5. INTERNATIONAL REAL BUSINESS CYCLES
At this point, the marginal beneÞt from looking at analytic expressions for the coe cients is probably negative. For the speciÞc calibration of the model the numerical values of the coe cients are,
a˜1 = 0.105, |
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= 0.105, |
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b1 |
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a˜2 = 0.105, |
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= 0.105, |
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b2 |
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a˜3 = −0.218, |
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= −0.212, |
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b3 |
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a˜4 = −0.212, |
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= −0.218, |
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b4 |
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a˜5 = 0.107, |
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= 0.107, |
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b5 |
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a˜6 = 0.107, |
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= 0.107, |
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b6 |
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a˜7 = −0.128, |
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= −0.161, |
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b7 |
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a˜8 = −0.159, |
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= −0.130, |
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b8 |
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a˜9 = 0.158, |
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= 0.158, |
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b9 |
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a˜10 = 0.158, |
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b10 = 0.158, |
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a˜11 = 0.007, |
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b11 = 0.007. |
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˜ |
˜ |
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˜ |
which means |
You can see that a˜3 +a˜4 = b3 |
+b4 |
and a˜7 +b7 = a˜8 |
+b8 |
that there is a singularity in this system. To deal with this singularity,
˜w ˜ ˜
let At = At + At denote the ‘world’ technology shock and add (5.48) to (5.49) to get
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a˜3 |
+ a˜4 |
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a˜7 |
˜ |
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a˜11 |
˜ |
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˜w |
˜w |
˜w |
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+ b7 |
˜w |
˜w |
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+ b11 |
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a˜1kt+2+ |
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2 |
kt+1 |
+˜a5kt |
+ |
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At+1 |
+˜a9At |
+ |
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2 |
= 0. (5.50) |
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˜w ˜ ˜ (5.50) is a second—order stochastic di erence equation in kt = kt + kt ,
which can be rewritten compactly as4
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˜w |
˜w |
˜w |
w |
(5.51) |
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kt+2 − m1kt+1 |
− m2kt |
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= Wt+1, |
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w |
˜w |
˜w |
, and |
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where Wt+1 |
= m3At+1 + m4At |
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m1 |
= |
−(˜a3 + a˜4)/(2˜a1), |
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m2 = −a˜5/a˜1, |
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m3 |
= |
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−(˜a7 + b7)/(2˜a1), |
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m4 = −a˜9/a˜1, |
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m5 |
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− |
a˜11 + b11 |
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2˜a11 |
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4Unlike the one-country model, we don’t want to write the model in logs because
˜ ˜
we have to be able to recover k and k separately.
5.2. CALIBRATING A TWO-COUNTRY MODEL |
157 |
You can write second—order stochastic di erence equation (5.51) as
(1 |
− |
m |
m |
2 |
ˆw |
= W |
w |
. The roots of the polynomial |
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L |
)k |
t+1 |
t |
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1L − |
2 2 |
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(1 −m1z −m2z ) = (1 −ω1L)(1 −ω2L) satisfy m1 = ω1 + ω2 and m2 = −ω1ω2. Under the parameter values used to calibrate the model and us-
ing the |
quadratic formula, |
the |
roots |
are, |
z1 |
= (1/ω1) |
= |
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[−m1 − |
qm12 + 4 |
m2 |
]/(2m2) |
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' |
1.17, |
and |
z2 |
= (1/ω2) |
= |
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2 |
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[−m1 +qm1 + 4m2]/(2m2) ' |
0.84. The stable root |z1| > 1 lies outside |
the unit circle, and the unstable root |z2| < 1 lies inside the unit circle. From the law of motion governing the technology shocks (5.33), you
have
˜w |
˜w |
w |
(5.52) |
At+1 |
= (ρ + δ)At + ²t , |
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where ²tw = ²t + ²t . Now EtWt+k = |
m3A˜tw+1 + m4A˜tw + m5 = |
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k ˜w |
+ m5. As in the one-country model, use |
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[m3(ρ + δ) + m4](ρ + δ) At |
these forecasting formulae to solve the unstable root forwards and the stable root backwards. The solution for the world capital stock is
k˜tw+1 |
= ω1k˜tw − ω2 |
− (ρ + δ) ³[m3(ρ + δ) + m4]A˜tw + m5´ |
. (5.53) |
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(ρ + δ) |
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Now you need to recover the domestic and foreign components of
the world capital stock. Subtract (5.49) from (5.48) to get |
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k˜t+1 − k˜t+1 |
= Ãa˜7 − a˜7 |
! A˜t+1 + Ãa˜8 − a˜8 |
! A˜t+1. |
(5.54) |
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a˜ |
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b |
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b a˜ |
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3 − 4 |
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3 − 4 |
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Add (5.53) to (5.54) to get |
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˜ |
1 |
˜w |
˜ |
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kt+1 = |
2 |
[kt+1 |
+ (kt+1 |
− kt+1)]. |
(5.55) |
The date t+1 world capital stock is predetermined at date t. How that
capital is allocated between the home and foreign country depends on
˜ ˜ the realization of the idiosyncratic shocks At+1 and At+1.
˜ ˜
Given kt, and kt , it follows from the production functions that the
outputs are |
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y˜t |
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˜ |
˜ |
y |
˜ |
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= |
fAAt |
+ fkkt |
= yAt + α |
k |
kt, |
(5.56) |
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y˜ |
= |
f A˜ + f k˜ = y A˜ + α |
y |
k˜ , |
(5.57) |
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t |
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A t |
k t |
t |
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k t |
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