* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
Download Inflation targeting in the Armenian context
Transition economy wikipedia , lookup
Real bills doctrine wikipedia , lookup
Full employment wikipedia , lookup
Business cycle wikipedia , lookup
Exchange rate wikipedia , lookup
Money supply wikipedia , lookup
Fear of floating wikipedia , lookup
Monetary policy wikipedia , lookup
Early 1980s recession wikipedia , lookup
Interest rate wikipedia , lookup
Phillips curve wikipedia , lookup
Inflation targeting in the Armenian context King Banaian, David Kemme and Grigor Sargsyan AIPRG conference, 4/21/06 Inflation targeting is coming to Armenia Transition began in January. Country has found problems with quantitative targets. We provide evidence that supports this view. Opinions of inflation targeting for developing and transition countries are changing. Poland, Hungary and the Czech Republic were early adopters; many others are joining in. Aggregate targeting has had problems Velocity hasn’t been very stable Suppose a very simple model Simple IS curve, Phillips curve and a policymaker loss function. Imagine first perfect foresight. t t 1 ( g t 1 g *g 1 ) t Lt Et s t [(1 )( s * ) 2 ( g s g * ) 2 ] s t Minimize L. Then imagine a Taylor rule in both inflation and output. g t g t* (rt 1 r * ) t Inflation targeting means σ2 = 0. rt = r* + s1(t - *) - s2(gt - gt*) Response to supply shocks Inflation targeting response to supply shock Perfect information response to supply shock 0.04 0.03 0.025 inflation inflation 0.035 0.02 0.015 0.01 0.005 0.03 0.02 0.01 0 0 0 0.01 0.02 GDP grow th 0.03 0.04 0 0.01 0.02 GDP growth 0.03 0.04 Response to demand shocks Perfect information response to demand shock inflation 0.03 0.025 0.02 0.015 0.01 0.005 0 0 0.01 0.02 0.03 GDP grow th 0.04 0.05 GMM estimates rt * rt 1 (1 ){ [ E ( t k | t ) *] [ E ( y t k | t )] [ E (et k | t )]} t Parameter Coefficient value α 0.382 β 0.289 γ 0.460 δ 1.015 constant -38.59 t-statistic 6.70 6.44 12.6 22.4 9.01 (2) The path of interest rates if Armenia had used a Taylor rule Alternative interest rate projections, Armenia 1998-2004 50.00 40.00 30.00 20.00 10.00 Actual Predicted Taylor (β, δ=1, γ = 0) Mar-05 Sep-04 Mar-04 Sep-03 Mar-03 Sep-02 Mar-02 Sep-01 Mar-01 Sep-00 Mar-00 Sep-99 Mar-99 Sep-98 0.00 Mar-98 Lending rate, 90-day 60.00 Taylor (β = 1, γ,δ = 0) SVAR estimation performed ey =b11uy ep=b22*up er=ep + b33*ur +a34*eε e=b31*ey+b32*ep+b33*eε+a34*uε ey = 2.44*uy ep= 2.175up er = ep + 4.45*ur +*eε ee = -0.336* ey + 0.553*ep - .008* er + 3.146*uε SVAR impulse response analysis Response of Inflation to Structural One S.D. Innovations Response of the GDP gap to Structural One S.D. Innovations 2.5 2.5 2.0 2.0 1.5 1.5 1.0 1.0 0.5 0.5 0.0 0.0 -0.5 -1.0 -0.5 1 2 3 4 5 6 7 8 9 10 Response of the credit rate to Structural One S.D. Innovations 1 2 3 4 5 6 7 8 9 10 Response of the real exchange rate to Structural One S.D. Innovations 5 4 3 4 2 3 1 2 0 1 -1 0 -2 1 2 3 4 5 6 7 8 9 10 Price (supply) shock Demand shock 1 2 3 4 Policy shock Exchange rate shock 5 6 7 8 9 10 Conclusions Inflation targeting set for 2008. Transition period will need managing to gain full benefits to reputation from transparency. Taylor-rule modeling appears to fit the Armenian case, particularly if augmented by real exchange rate. What are the implications of this for IFT? We are testing that now.