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An introduction to dynamic equilibrium models in macroeconomics. It reviews the history of macroeconometric models, discusses the importance of money in the business cycle, and explains the identification and estimation of SVAR models. The document also includes an example of a simple model-based SVAR. useful for students studying macroeconomics, econometrics, and monetary policy.
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Models
Tradition in macroeconomics of using models:1. Policy Analysis.2. Forecasting.3. Counterfactuals.
-^
This course reviews the recent advances in macroeconometric model-building.
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A Brief History of Macroeconometric Models: A Promising Beginning
Old idea of economists: Quesnay, Walras.
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Pioneers: Tinbergen (1939, Noble Prize 1969), Haavelmo (1943, No-ble Prize 1989).
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Klein-Goldberger model (1955).
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Big models of the 1960s: Brookings, MIT-FRB-Penn, Wharton.
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A Brief History of Macroeconometric Models: Disappointment
1970s and 1980s were the decades of disappointment
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Problems:1. Fit (Nelson, 1972).2. Nonstationarity (Granger, 1981).3. Economic Foundations (Lucas, 1972).
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Why Dynamic Equilibrium Models?
Explicit microeconomic foundation.
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Robust to Lucas critique.
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Welfare analysis.
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Design of optimal policy.
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A Brief History of Macroeconometric Models: References
R.G. Bodking, L.R. Klein, and K. Marwah:
A History of Macroecono-
metric Model-Building
, Edward Elgar, 1991.
T.J. Sargent:
Expectations and the Nonneutrality of Lucas
, Journal
of Monetary Economics, 1996.
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Is Money Important?
At a basic level yes.
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“Lenin is said to have declared that the best way to destroy the Capi-talist System was to debauch its currency... Lenin was certainly right”.J.M. Keynes (1919),
The Economic Consequences of the Peace
Experiences of hyperin
flation.
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Money and the Business Cycle
At a more moderate level, the question is surprisingly di
ffi
cult to an-
swer.
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Two “observations”:1. Relation between Output and Money growth.2. Phillips Curve.
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Where do these observations come?
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Structural Vector Autoregression
SVARs have become a common tool among economists.
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Introduced by Sims (1980)
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SVARs make explicit identifying assumptions to isolate estimates ofpolicy and/or private agents behavior and its e
ffects on the economy,
while keeping the model free of the many additional restrictive as-sumptions needed to give every parameter a behavioral interpretation.
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Uses of SVARs1. The e
ffects of money on output (Sims and Zha, 2005).
chard and Quah, 1989),
ffects of
fi
scal policy (Rotemberg and Woodford, 1992).
ı, 1999).
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Mapping
The mapping
) is the product of the equilibrium behavior of the
agents in the model, implied by their optimal decision rules and theconsistency conditions like resource constraints and market clearing.
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The construction of the mapping
) is the sense in which economic
theory tightly relates shocks and observables.
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The mapping
·) can be interpreted as the impulse response of the
model to an economic shock.
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A Linear Mapping
We restrict our attention to linear mappings of the form:
yt
)^ w
t
where
is the lag operator.
w
t^
More involved structures?
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SVAR Representation
We obtain:
)^ y
t^
w
t
where
0
∞ k=
Lk
k^
is a one-sided matrix lag polynomial
that embodies all the (usually non-linear) cross-equation restrictionsderived by the equilibrium solution of the model.
-^
In general,
) is of in
finite order.
This representation is known as the SVAR representation.
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Reduced Form Representation
Consider now the case where a researcher does not have access to theSVAR representation. Instead, she has access to the VAR representa-tion of
y
:t
yt
y 1 t−
1
y 2 t−
2
a
,t
where
Ey
t−
aj t^ = 0 for all
j
and
Ea
at 0 = t^
This representation is known as the Reduced form representation.
-^
Can the researcher recover the SVAR representation using the Reducedform representation?
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