Patrick Fève

Can the Kydland-Prescott Model Pass the Cogley-Nason Test?

This paper quantitatively evaluates the ability of a Kydland and Prescott type model with permanent technology shocks and labor wedges to reproduce output persistence together with persistent impulse response functions of output to permanent and transitory shocks. When calibrated on US labor market features, this model, in which technology shocks account for the bulk of output fluctuations, successfully passes the Cogley and Nason test.

Monetary Policy Inertia or Persistent Shocks

In this paper, we propose a simple econometric framework to disentangle the respective roles of monetary policy inertia and persistent shocks in interest rate rules. The procedure exploits the cross-equation restrictions provided by a DSGE model which is confronted to a monetary SVAR. We show that, provided enough informative variables are included in the formal test, the data favour a monetary policy representation with low inertia and highly serially correlated monetary shocks. To the contrary, when the procedure is based solely on the dynamic behavior of the nominal interest rate, no clear-cut conclusion can be reached as to the correct representation of monetary policy.

The Dynamic Effects of Disinflation Policies

This paper investigates the effects of disinflation policies on key macroeconomic variables. Using postwar US data and episode techniques, we identify disinflation shocks as shocks that drive the inflation rate to a lower level in the long-run. We find that in the immediate aftermath of a disinflation policy, the economy enters in a persistent recession. The inflation rate increases above its long-run level and exhibits a positive hump-shaped response. A similar pattern is found for the nominal interest rate, which responds even more strongly in the short-run. We then show that the standard new Keynesian model fails to account for macroeconomic dynamics in disinflationary times. On the contrary a deep habit version of the model successfully accounts for the effects of disinflation policies.

In search of the transmission mechanism of fiscal policy in the Euro area

This paper applies the DSGE-VAR methodology to assess the size of fiscal multipliers in the data and the relative contributions of two transmission mechanisms of government spending shocks, namely hand-to-mouth consumers and Edgeworth complementarity. Econometric experiments show that a DSGE model with Edgeworth complementarity is a better representation of the transmission mechanism of fiscal policy as it yields dynamic responses close to those obtained with the flexible DSGE-VAR model (i.e. an impact output multiplier larger than one and a crowding-in of private consumption). The estimated share of hand-to-mouth consumers is too small to replicate the positive response of private consumption.

Minimum Distance Estimation and Testing of DSGE Models from Structural VARs

The aim of this paper is to complement the minimum distance estimation–structural vector autoregression approach when the weighting matrix is not optimal. In empirical studies, this choice is motivated by stochastic singularity or collinearity problems associated with the covariance matrix of impulse response functions. Consequently, the asymptotic distribution cannot be used to test the economic models fit. To circumvent this difficulty, we propose a simple simulation method to construct critical values for the test statistics. An empirical application with US data illustrates the proposed method.

A Pitfall with DSGE-Based, Estimated, Government Spending Multipliers

This paper examines issues related to the estimation of the government spending multiplier (GSM) in a Dynamic Stochastic General Equilibrium context. We stress a potential source of bias in the GSM arising from the combination of Edgeworth complementarity/substitutability between private consumption and government expenditures and endogenous government expenditures. Due to cross-equation restrictions, omitting the endogenous component of government policy at the estimation stage would lead an econometrician to underestimate the degree of Edgeworth complementarity and, consequently, the long-run GSM. An estimated version of our model with US postwar data shows that this bias matters quantitatively. The results prove to be robust to a number of perturbations.

Money and external habit persistence: A tale for chaos

This paper studies the dynamic properties of a simple monetary economy model with external habit formation, in which money is used for transaction motives. We show that large enough (though reasonable) habit can generate deterministic cycles and chaotic equilibria.

The Laffer Curve in an Incomplete-Market Economy

This paper investigates the characteristics of the Laffer curve in a neoclassical growth model of the US economy with incomplete markets and heterogeneous agents. The shape of the Laffer curve changes depending on which of transfers or government debt are varied to balance the government budget constraint. While the Laffer curve has the traditional shape when transfers vary, it looks like a horizontal S when debt varies. In this case, fiscal revenues can be associated with up to three different levels of taxation. This finding occurs because the tax rates change non-monotonically with public debt when markets are incomplete.

On the Size of the Government Spending Multiplier in the Euro Area

This article addresses the existence of a wide range of estimated government spending multipliers in a dynamic stochastic general equilibrium model of the euro area. Our estimation results and counterfactual exercises provide evidence that omitting the interactions of key ingredients at the estimation stage (such as Edgeworth complementarity/subtitutability between private consumption and government expenditures, endogenous government spending policy and general time nonseparable preferences) paves the way for potentially large biases. We argue that uncertainty on the quantitative assessments of fiscal programmes could partly originate from these biases.

Technology Shock and Employment: Do We Really Need DSGE Models with a Fall in Hours?

The recent empirical literature that uses Structural Vector Autoregressions (SVAR) has shown that productivity shocks identified using long--run restrictions lead to a persistent and significant decline in hours worked. This evidence calls into question standard RBC models in which a positive technology shock leads to a rise in hours. In this paper, we estimate and test a standard RBC model using Indirect Inference on impulse responses of hours worked after technology and non-technology shocks. We find that this model is not rejected by the data and is able to produce impulse responses in SVAR from simulated data similar to impulse responses in SVAR from actual data. Moreover, technology shocks represent the main contribution to the variance of the business cycle component of output under the estimated DSGE model. Our results suggest that we do not necessarily need DSGE models with a fall in hours to reproduce the results deriving from SVAR models.