on the impact of kuna exchange rate on croatian foreign trade results: elasticity approach petar...
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On the impact of kuna exchange rate on Croatian
foreign traderesults: Elasticity approach
Petar Sorić
Presentation structureMotivation and subject of researchData & econometric methodsTheoretical backgroundRelated literature reviewEmpirical modelsEconometric results and their
implicationsConcluding remarks
Motivation and subject of research
•TB reaches it’s low point in 1997, Q4; stagnation from 2002
•rer’s follow the tb trend line until 2003, when they diverge
1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008
5.85
5.90
5.95
6.00
6.05
6.10Lde Lita
Laut Ltb
Series means are adjusted in order to fit on the graph
Data & econometric methodsQuarterly data, 1996Q1 to 2007Q4,
seasonally adjusted and in logarithmso tb=ln(X)-ln(IM)o rer data obtained by correcting nominal exchange
rate for the ratio of foreign and domestic price level (CPI)
o rer increase=appreciation
Johansen’s approach used in order to obtain both the short run (VECM) and the long run elasticity coefficients (cointegration vector) J-curve analysis
Related literature review
Turkalj (2005): small (but expected) estimated imports and exports exchange rate elasticities (OLS)
Mervar (2003): income effect dominates over the exchange rate impact (PSS)
Stučka (2003): Existence of the J-curve, estimated long-run rer coefficient of 0.9-1.3% (ARDL, PSS, Bewley ARDL)
Analysis results differ with respect to the used method
Empirical models
“Catch all” modeltb = f(gdp_cro, gdp_de, gdp_aut, gdp_ita,
rer_de, rer_aut, rer_ita) Three disaggregated models (CRO
vs.DE, CRO vs. ITA and CRO vs. AUT)tb = f(gdp_cro, gdp_de, rer_de) tb = f(gdp_cro, gdp_ita, rer_ita) tb = f(gdp_cro, gdp_aut, rer_aut)
rank eigenvalue trace p-value0 0.86921 274.18 0.000*1 0.75404 184.67 0.000*2 0.65149 122.96 0.001*3 0.49563 76.577 0.052***4 0.34848 46.461 0.2025 0.27234 27.610 0.2636 0.17118 13.621 0.3247 0.11469 5.3601 0.255
Source: Author's calculationNote: *denotes rejection of the null hypothesis of no cointegration at 1% significance level, ***denotes rejection at 10% significance level
Results of Johansen's cointegration test
“Catch all” model
The following restrictions were imposed:
•β tb =1
•α rer_aut= α gdp_ita = α gdp_aut = αgdp_cro=0
•β gdp_cro = -1;
•α rer_aut = α rer_de
•β gdp_aut =- β gdp_de
Above mentioned restrictions were jointly accepted by a LR test ( , p-value of 0.2670)
8401.8)7(2
Econometric results and their implications
tbt = -153.60 + gdp_crot -2.88gdp_det + 2.88gdp_autt + 5.03 gdp_itat + 6.63rer_det+ 8.399 rer_autt -11.88 rer_itat
Unexpected gdp_de and gdp_cro sign: Croatian exports structure uncorrespondance to German imports demand
rer_de and rer_aut coefficients: tb worsening as a long-run result of kuna
depreciation (exports is often generated by imports in Croatia, e.g. shipbuilding)
VEC modelvariable coefficient t-value variable coefficient t-valueΔtb t-1 0.460790 0.898 Δgdp_aut t-2 5.41158 1.89Δtb t-2 -0.230929 -0.468 Δgdp_aut t-3 1.17847 0.409Δtb t-3 0.150000 0.346 Δgdp_aut t-4 5.40780 1.83Δtb t-4 -0.684785 -1.62 Δrer_de t-1 -12.9903 -0.976Δgdp_cro t-1 4.11479 2.35 Δrer_de t-2 5.78325 0.452Δgdp_cro t-2 -3.56807 -1.51 Δrer_de t-3 4.88599 0.411Δgdp_cro t-3 -1.56398 -1.03 Δrer_de t-4 3.04197 0.204Δgdp_cro t-4 -2.80733 -2.22 Δrer_ita t-1 10.4275 1.84Δgdp_de t-1 -7.13117 -1.18 Δrer_ita t-2 0.461034 0.121Δgdp_de t-2 -1.15130 -0.189 Δrer_ita t-3 -2.63489 0.891Δgdp_de t-3 5.85703 0.918 Δrer_ita t-4 -4.88785 -1.75Δgdp_de t-4 0.0664882 0.0113 Δrer_aut t-1 0.397508 0.0324Δgdp_ita t-1 -3.30309 -0.659 Δrer_aut t-2 -7.80636 -0.666Δgdp_ita t-2 9.45495 1.80 Δrer_aut t-3 -0.628294 -0.0569Δgdp_ita t-3 -8.92433 -1.33 Δrer_aut t-4 0.623153 0.0468Δgdp_ita t-4 1.72359 0.413 constant 106.568 1.78Δgdp_aut t-1 -2.99187 -1.22 ECT t-1 -0.347350 -1.78
test test statistics p-value
AR 1-1
test
F(1,5) =
2.76240.1574
ARCH 1-1
test
F(1,4)
=0.00364410.9548
Normality
test
χ2(2) =
5.31250.0702
RESET test
F(1,5) =
0.548660.4922
Properties of VECM residuals
Croatia vs. Germany
rank eigenvalue
trace p-value
0 0.48061 54.234 0.010*1 0.40020 25.410 0.1522 0.048563 2.9185 0.9633 0.72814 0.72814 0.393
Results of Johansen's cointegration test for CRO vs. DE model
Source: Author's calculationNote: *denotes rejection of the null hypothesis of no cointegration at 1% significance level
tbt = -0.39gdp_crot + 2.27 gdp_det + 1.43rer_det
• GDP coefficients confirm economic theory
• rer_de elasticity coefficient suggests tb deterioration in case of a devaluation
Uncompetitive economic structureImport dependency of the Croatian economy
Croatia vs. Italy
rank eigenvalue trace p-value0 0.45911 39.342 0.2501 0.19462 12.302 0.9172 0.061125 2.7784 0.9693 7.099E-005 0.00312 0.955Source: Author's calculation
Results of Johansen's cointegration test
Direction of causality F-statistic Probabilitydgdp_cro → dtb 0.31761 0.72985dtb → dgdp_cro 0.20864 0.81263dgdp_ita → dtb 0.00535 0.99467dtb → dgdp_ita 0.51184 0.60357drer_ita → dtb 1.73082 0.19117dtb → drer_ita 0.93491 0.40170dgdp_ita → dgdp_cro 0.17043 0.84396dgdp_cro → dgdp_ita 2.57628 0.08964drer_ita → dgdp_cro 0.42935 0.65413dgdp_cro → drer_ita 3.63060 0.03633drer_ita → dgdp_ita 0.43403 0.65115dgdp_ita → drer_ita 2.04470 0.14379
Granger causality test results
Relationship direction opposed to the expected?
Croatia vs. Austria
rank eigenvalue trace p-value0 0.47123 48.181 0.045*1 0.31109 20.143 0.4242 0.073882 3.7473 0.9163 0.0083767 0.37013 0.543
Results of Johansen's cointegration test for CRO vs. AUT model
Source: Author's calculationNote: *denotes rejection of the null hypothesis of no cointegration at 1% significance level,
Confirmation of the CRO vs. DE model conclusions
rer_aut coefficient opposed to economic theory
tbt = -0.82gdp_crot + 1.91gdp_autt + 0.71 rer_autt
Concluding remarksMarshall-Lerner condition & J-curve
nonvalidity in Croatia?Real economic problems should
primarily be solved by real variables and measures?
Possible shortcomings:oshort time spanothe need of including other trade
partners in the analysisKuna devaluation effects should be
observed much wider