Fiscal Policy, Foresight and the Trade Balance in the U.S.

This paper investigates the effects of fiscal policy on the trade balance using a structural factor model. A fiscal policy shock worsens the trade balance and produces an appreciation of the domestic currency but the effects are quantitatively small. The findings match the theoretical predictions of the standard Mundell-Fleming model, although fiscal policy should not be con- sidered one of the main causes of the large US external deficit. My conclusions differ from those reached using VAR models since the fiscal shock, possibly due to fiscal foresight, is nonfunda- mental for the variables typically used in open economy VARs.structural factor model, fiscal policy, twin deficits, trade deficit, current account, Mundell-Fleming.

Fiscal Foresight and the Effects of Government Spending

We study the effects of government spending by using a structural, large dimensional, dynamic factor model. We find that the government spending shock is non-fundamental for the variables commonly used in the structural VAR literature, so that its impulse response functions cannot be consistently estimated by means of a VAR. Government spending raises both consumption and investment, with no evidence of crowding out. The impact multiplier is 1.7 and the long run multiplier is 0.6.structural factor model, sign restrictions, fiscal policy, government spending shock, fundamentalness, non-fundamentalness.

Sufficient information in structural VARs

We derive necessary and sufficient conditions under which a set of variables is information-ally sufficient, i.e. contains enough information to estimate the structural shocks with a VAR model. Based on such conditions, we provide a procedure to test for informational sufficiency. If sufficiency is rejected, we propose a strategy to amend the VAR. Our method can be applied to FAVAR models and can be used to determine how many factors to include in such models. We apply our procedure to a VAR including TFP, unemployment and per-capita hours worked. We find that the three variables are not informationally sucient. When adding missing information, the effects of technology shocks change dramatically.Structural VAR; non-fundamentalness; information; FAVAR models; technology shocks

On the sources of the Great Moderation

The remarkable decline in macroeconomic volatility experienced by the U.S. economy since the mid-80s (the so-called Great Moderation) has been accompanied by large changes in the patterns of comovements among output, hours and labor productivity. Those changes are reflected in both conditional and unconditional second moments as well as in the impulse responses to identified shocks. That evidence points to structural change, as opposed to just good luck, as an explanation for the Great Moderation. We use a simple macro model to suggest some of the immediate sources which are likely to be behind the observed changes.Great Moderation, structural VAR, technology shocks, monetary policy rules, labor hoarding

The dynamic eects of monetary policy: A structural factor model approach

We use the structural factor model proposed by Forni, Giannone, Lippi and Reichlin (2007) to study the effects of monetary policy. The advantage with respect to the traditional vector autoregression model is that we can exploit information from a large data set, made up of 112 US monthly macroeconomic series. Monetary policy shocks are identified using a standard recursive scheme, in which the impact effects on both industrial production and prices are zero. Such a scheme, when applied to a VAR including a suitable selection of our variables, produces puzzling results. Our main findings are the following. (i) The maximal effect on bilateral real exchange rates is observed on impact, so that the “delayed overshooting” or “forward discount” puzzle disappears. (ii) After a contractionary shock prices fall at all horizons, so that the price puzzle is not there. (iii) Monetary policy has a sizable effect on both real and nominal variables. Such results suggest that the structural factor model is a promising tool for applied macroeconomics.Delayed Overshooting Puzzle, Monetary Policy, Price Puzzle, Structural Factor Model, Structural VAR.

Structural changes in the US economy: is there a role for monetary policy?

This paper investigates the contribution of monetary policy to the changes in output growth and inflation dynamics in the US. We identify a policy shock and a policy rule in a time-varying coefficients VAR using robust sign restrictions. The transmission of policy shocks has been relatively stable. The variance of the policy shock has decreased over time, but policy shocks account for a small fraction of the level and of the variations in inflation and output growth volatility and persistence. We find little evidence of a significant increase in the long run response of the interest rate to inflation. A more aggressive inflation policy in the 1970s would have produced large output growth costs.Monetary policy, Inflation persistence, Transmission of shocks, Time varying coefficients structural VARs

Do expectations matter? The Great Moderation revisited

We examine the role of expectations in the Great Moderation episode. We derive theoretical restrictions in a New-Keynesian model and test them using measures of expectations obtained from survey data, the Greenbook and bond markets. Expectations explain the dynamics of inflation and of interest rates but their importance is roughly unchanged over time. Systems with and without expectations display similar reduced form characteristics. Including or excluding expectations hardly changes the economic explanation of the Great Moderation. Results are robust to changes in the structure of the empirical model.Indeterminacy, Expectations, Term structure, Structural VARs, Sunspot

Macroeconomic Shocks and the Business Cycle: Evidence from a Structural Factor Model

We use a dynamic factor model to provide a semi-structural representation for 101 quarterly US macroeconomic series. We find that (i) the US economy is well described by a number of structural shocks between two and six. Focusing on the four-shock specification, we identify, using sign re- strictions, two non-policy shocks, demand and supply, and two policy shocks, monetary and fiscal. We obtain the following results. (ii) Both supply and demand shocks are important sources of fluc- tuations; supply prevails for GDP, while demand prevails for employment and inflation. (ii) Policy matters, Both monetary and fiscal policy shocks have sizeable effects on output and prices, with little evidence of crowding out; both monetary and fiscal authorities implement important system- atic countercyclical policies reacting to demand shocks. (iii) Negative demand shocks have a large long-run positive effect on productivity, consistently with the Schumpeterian "cleansing" view of recessions.structural factor model, sign restrictions, monetary policy, fiscal policy, demand, supply

Testing for Sufficient Information in Structural VARs

We derive necessary and sufficient conditions under which a set of variables is informationally sufficient, i.e. it contains enough information to estimate the structural shocks with a VAR model. Based on such conditions, we suggest a procedure to test for informational sufficiency. Moreover, we show how to amend the VAR if informational sufficiency is rejected. We apply our procedure to a VAR including TFP, unemployment and per-capita hours worked. We find that the three variables are not informationally sufficient. When adding missing information, the effects of technology shocks change dramatically.Structural VAR, non-fundamentalness, information, FAVAR models, technology shocks.