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The%20analysis%20of%20Klein`s%20model%20

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In 1980 he was awarded the Nobel Memorial Prize in Economic Sciences ... of Great Depression till the beginning of American participation in World War II ... – PowerPoint PPT presentation

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Title: The%20analysis%20of%20Klein`s%20model%20


1
The analysis of Kleins model The economic
fluctuations in the United States 1921-1941
(1950)
  • Prepared by
  • Aleksander Rzewuski
  • Roman Gasowski

2
Few words about Lawrence R. Klein
  • born in 1920 in Omaha, Nebraska in Jewish family
  • 1947 the book The Keynesian Revolution
    established him as one of the foremost scholars
    on Keynesian economics
  • In 1980 he was awarded the Nobel Memorial Prize
    in Economic Sciences

3
The goal of our presentation
  • Introduction of Kleins model
  • Estimation for data covering American economy in
    the period of 1921-1941
  • Analysis of the results
  • Estimation of the model for contemporary data
    (1970-2000)
  • Comparison and final conclusions

4
Background for Kleins model
  • One of the first models to explain the economy as
    a whole
  • Published in 1950
  • It includes years of Great Depression till the
    beginning of American participation in World War
    II
  • All variables are measured in billions of dollars

5
Structural form of the model
  • Endogenous variables of the model are
  • Consumption Ct
  • Wages in private sector Wp
  • Investments It
  • Capital stock Kt
  • GNP Xt
  • Profits in private sector Pt

6
Structural form (contd)
  • Exogenous variables are
  • Government expenditure Gt
  • Wages in public sector Wg
  • Taxes Tt
  • Lagged variables Pt-1, Kt-1, Xt-1

7
Equations of the model
  • Ct a 1 a 2Pt a 3Pt-1 a 4 (Wp Wg) u1t
  • Wp ? 1 ? 2Xt ? 3Xt-1 ? 4t u3t
  • It ß 1 ß 2Pt ß 3Pt-1 ß 4Kt-1 u2t
  • Kt It Kt-1
  • Xt Ct It Gt
  • Pt Xt Wp Tt

8
  • Three-stage least squares regression
  • --------------------------------------------------
    --------------------
  • Equation Obs Parms RMSE
    "R-sq" chi2 P
  • --------------------------------------------------
    --------------------
  • c 21 3 .9443305
    0.9801 864.59 0.0000
  • wp 21 3 .7211282
    0.9863 1594.75 0.0000
  • i 21 3 1.446736
    0.8258 162.98 0.0000
  • --------------------------------------------------
    --------------------
  • --------------------------------------------------
    ----------------------------
  • Coef. Std. Err. z
    Pgtz 95 Conf. Interval
  • -------------------------------------------------
    ----------------------------
  • c
  • p
  • L1 .1631439 .1004382 1.62
    0.104 -.0337113 .3599992
  • -- .1248904 .1081291 1.16
    0.248 -.0870387 .3368194
  • wp_plus_wg .790081 .0379379 20.83
    0.000 .715724 .8644379
  • _cons 16.44079 1.304549 12.60
    0.000 13.88392 18.99766

9
Interpretation
  • Estimates of all parameters look very reasonable
  • The point estimates are not sufficient
  • The signs of the parameter seem to be expectable
    in the context of economic theory
  • Most of the coefficients are significant
  • Coefficient of determination (R2) for all
    equations is very high

10
Observed level of GNP (solid line), simulated
level of GNP (dotted line)
  • As many economists pointed out the model does not
    track the historical data well
  • However it can be used to simulate various
    policies

11
Possible way of policy simulation
  • Change the value of government expenditure in one
    year holding all other levels of g and all other
    variables fixed
  • Run the estimation with altered data and compare
    new under shock values of GNP with those
    obtained before
  • Observe the difference in GNP and conclude policy
    recommendation

12
Analogous analysis of contemporary data
  • Data set covers the period of 1970 2000
  • The data were gathered from World Development
    Indicators database and from Bureau of Economic
    Analysis of U.S. Department of Commerce
  • All variables are measured in billions of dollars

13
  • Three-stage least squares regression
  • --------------------------------------------------
    --------------------
  • Equation Obs Parms RMSE
    "R-sq" chi2 P
  • --------------------------------------------------
    --------------------
  • c 30 3 76.55733
    0.9982 21791.42 0.0000
  • wp 30 3 52.79923
    0.9973 12318.64 0.0000
  • i 30 3 22.7667
    0.9179 322.08 0.0000
  • --------------------------------------------------
    --------------------
  • --------------------------------------------------
    ----------------------------
  • Coef. Std. Err. z
    Pgtz 95 Conf. Interval
  • -------------------------------------------------
    ----------------------------
  • c
  • p
  • L1 -1.976323 .6102105 -3.24
    0.001 -3.172313 -.7803319
  • -- 2.711593 .6818255 3.98
    0.000 1.37524 4.047946
  • wp_plus_wg 1.312336 .0587717 22.33
    0.000 1.197146 1.427527
  • _cons -186.1593 28.9765 -6.42
    0.000 -242.9522 -129.3664
  • -------------------------------------------------
    ----------------------------

14
Interpretation
  • Coefficient of determination (R2) is even higher
  • Most of the parameters are significant at the
    level of 1
  • Model tracks the economy indicators well

15
Final conclusions
  • Both models follow the reality well
  • Do they give any predictions?
  • Only policy simulation
  • Pioneer work and the cornerstone in the evolution
    of econometrics

16
THANK YOU
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