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Luca Gagliardone

Welcome to my website!

I’m a PhD candidate in Economics at the New York University.

I will complete my PhD in 2025.

 

Research Fields: Macroeconomics, Monetary Policy, Information, Search

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Working Papers

Micro and Macro Cost-Price Dynamics across Inflation Regimes, with M. Gertler, S. Lenzu, J. Tielens

Anatomy of the Phillips Curve: Micro Evidence and Macro Implications, with M. Gertler, S. Lenzu, J. Tielens

R&R American Economic Review

We develop a bottom-up approach to estimating the slope of the primitive form of the New Keynesian Phillips curve, which features marginal cost as the relevant real activity variable. Using quarterly micro data on prices, costs, and output from the Belgian manufacturing sector, we estimate dynamic pass-through regressions that identify the degrees of nominal and real rigidities in price setting. Our estimates imply a high slope for the marginal cost-based Phillips curve, which contrasts with the low estimates of the conventional unemployment or output-based formulations in the literature. We reconcile the difference by demonstrating that, although the pass-through of marginal cost into inflation is substantial, the elasticity of marginal cost with respect to the output gap is low, at least for pre-pandemic data. We also illustrate the advantage of a marginal cost-based Phillips curve for characterizing the transmission of supply shocks to inflation.

Oil Prices, Monetary Policy and Inflation Surges, with M. Gertler

We develop a simple quantitative New Keynesian model aimed at analyzing how the reaction of monetary policy contributed to the recent rise and fall in inflation. The model includes several shocks but features oil price shocks for two reasons: (i) energy prices have been among the central factors in discussions about the surge; (ii) we can use identified oil shocks along with monetary shocks to estimate and discipline the model. We then employ the estimated framework to recover shocks without targeting inflation. Overall the model accounts for roughly three fourths of the surge in PCE inflation. Both the oil shocks and the shocks to policy accommodation played important roles in the inflation rise. Moreover, the easing of oil prices and subsequent shift to policy tightening contributed to the decline. A nonmonetary demand shock (a composite of private demand and fiscal stimulus) also contributed to inflation starting in 2022.

Liquidity and Fundamental Risks in a Search Economy

This paper studies the interplay between liquidity and fundamental risks in an asset pricing framework with a frictional, decentralized secondary market and endogenous trading decisions. In this setting, the liquidity value of assets decreases in the riskiness of the underlying. For a sufficiently large deterioration of fundamentals, agents stop trading the asset, leading to a freeze of the secondary market and flight-to-safety behavior. This mechanism implies a novel type of monetary “safe-trade” equilibrium, in which assets are traded if and only if safe. Liquidity feeds back into the default decision of the issuing firm, potentially leading to price spirals and a multiplicity of equity valuations and default thresholds.

Monetary Policy and Sovereign Risk, with L. Braccini

This paper estimates the effects of monetary policy on sovereign risk. We use proprietary intraday credit default swap (CDS) data on five European countries and identify the effects of monetary policy on CDS premia in a small time window around the European Central Bank (ECB) monetary policy announcements. We construct monetary policy surprises for the press release and conference windows separately and show that there are two channels with effects of opposite sign. We then use stock price surprises to disentangle and interpret the two effects in terms of a standard monetary policy channel, in which CDS premia and interest rates co-move positively, and an information channel, in which they co-move negatively. We find that the information channel is quantitatively the most important. The results are robust across samples, maturities of CDS, and model specifications.

Optimal Public Communication

A benevolent planner chooses optimally whether and how to disclose publicly a private forecast of fundamentals to a large number of informed small agents. These agents interact in economic environments with information frictions, strategic complementarity or substitutability in actions, and a rich set of externalities that are responsible for inefficient fundamental and non-fundamental fluctuations. First, I characterize the optimal policy as a function of the externalities of the economy, the quality of the forecast of the planner, and agents’ prior uncertainty. Next, I discuss and interpret the theoretical results within the context of an application to central bank communication.

Work in progress

Dynamic Pricing under Information Frictions: Evidence from Firm-level Subjective Expectations, with J. Tielens (Job Market Paper)

We develop an empirical approach to study the extent to which firms are forward-looking in their pricing decisions and how this depends on aggregate conditions in a standard framework with nominal and real rigidities. We use three decades of monthly microdata on prices and costs for the Belgian manufacturing sector and combine it with survey data on subjective price expectations and information on the production network to estimate a dynamic pass-through regression. Consistently with a “myopic” pricing behavior, our estimates indicate that firms react to news by about 20-30% less than a benchmark New-Keynesian model with complete information. We show that this difference can be accounted for by the ratio between the industry dispersion in beliefs and the dispersion in the beliefs of suppliers, which serves as a proxy for the signal-to-noise ratio. As the industry dispersion in beliefs increases with price dispersion, firms become more forward-looking in high-inflation regimes, leading to amplification of the price response to aggregate shocks. This channel via signal extraction implies a nonlinear relationship between costs and inflation at the aggregate level because industries that receive large persistent shocks are precisely those that are mostly responsive. Finally, we show that the nonlinearities due to information frictions improve the fit of the marginal cost-based Phillips curve to inflation and, in particular, help explain the 2021-23 inflation surge.