Ivan Petrella

Speculation in the Oil Market

The run-up in oil prices since 2004 coincided with growing investment in commodity markets and increased price comovement among different commodities. We assess whether speculation in the oil market played a role in driving this salient empirical pattern. We identify oil shocks from a large dataset using a dynamic factor model (DFM). This method is motivated by the fact that a small scale VAR is not infomationally sufficient to identify the shocks. The main results are as follows: (i) While global demand shocks account for the largest share of oil price fluctuations, speculative shocks are the second most important driver. (ii) The increase in oil prices over the last decade is mainly driven by the strength of global demand. However, speculation played a significant role in the oil price increase between 2004 and 2008, and its subsequent collapse. (iii) The comovement between oil prices and the prices of other commodities is mainly explained by global demand shocks. Our results support the view that the recent oil price increase is mainly driven by the strength of global demand but that the financialization process of commodity markets also played a role.

Factor Demand Linkages, Technology Shocks, and the Business Cycle

This paper argues that factor demand linkages can be important for the transmission of both sectoral and aggregate shocks. We show this using a panel of highly disaggregated manufacturing sectors together with sectoral structural VARs. When sectoral interactions are explicitly accounted for, a contemporaneous technology shock to all manufacturing sectors implies a positive response in both output and hours at the aggregate level. Otherwise there is a negative correlation, as in much of the existing literature. Furthermore, we find that technology shocks are important drivers of the business cycle.

Tracking the Slowdown in Long-Run GDP Growth

Using a dynamic factor model that allows for changes in both the long-run growth rate of output and the volatility of business cycles, we document a significant decline in long-run output growth in the United States. Our evidence supports the view that most of this slowdown occurred prior to the Great Recession. We show how to use the model to decompose changes in long-run growth into its underlying drivers. At low frequencies, a decline in the growth rate of labor productivity appears to be behind the recent slowdown in GDP growth for both the United States and other advanced economies. When applied to real-time data, the proposed model is capable of detecting shifts in long-run growth in a timely and reliable manner.

Optimal Monetary Policy with Durable Consumption Goods and Factor Demand Linkages

This paper deals with the implications of factor demand linkages for monetary policy design. We consider a dynamic general equilibrium model with two sectors that produce durable and non-durable goods, respectively. Part of the output of each sector serves as a production input in both sectors, in accordance with a realistic input-output structure. Strategic complementarities induced by factor demand linkages significantly alter the transmission of exogenous shocks and amplify the loss of social welfare under optimal monetary policy, compared to what is observed in standard two-sector models. The distinction between value added and gross output that naturally arises in this context is of key importance to explore the welfare properties of the model economy. A flexible inflation targeting regime is close to optimal only if the central bank balances inflation and value added variability. Otherwise, targeting gross output variability entails a substantial increase in the loss of welfare.

Monetary Policy with Sectoral Trade-offs

We formulate a two-sector New Keynesian economy that features sectoral heterogeneity along three main dimensions: price stickiness, consumption goods durability, and the inter-sectoral trade of input materials. The combination of these factors deeply affects inter-sectoral and intra-sectoral stabilization. In this context, we examine the welfare properties of simple rules that adjust the policy rate in response to the output gap and alternative measures of final goods price inflation. Aggregating durable and non-durable goods prices depending on the relative frequency of sectoral price-setting may induce a severe bias. Due to factor demand linkages, the cost of production in one sector is influenced by price-setting in the other sector of the economy. As a result, measures of aggregate inflation that weigh sectoral price dynamics based on the relative degree of price rigidity do not allow the central bank to keep track of the effective speeds of sectoral price adjustment.

Adaptive Models and Heavy Tails

This paper introduces an adaptive algorithm for time-varying autoregressive models in the presence of heavy tails. The evolution of the parameters is determined by the score of the conditional distribution. The resulting model is observation-driven and is estimated by classical methods. Meaningful restrictions are imposed on the model parameters so as to attain local stationarity and bounded mean values. In particular, we consider time variation in both coefficients and volatility, emphasizing how the two interact. Moreover, we show how the proposed approach generalizes the various adaptive algorithms used in the literature. The model is applied to the analysis of inflation dynamics. Allowing for heavy tails leads to significant improvements in terms of fit and forecast. The adoption of the Students-t distribution proves to be crucial in order to obtain well-calibrated density forecasts. These results are obtained using the US CPI inflation rate and are confirmed by other inflation indicators as well as the CPI of the other G7 countries.

Reference-Dependent Preferences and the Transmission of Monetary Policy

This paper proposes a novel explanation of the vast empirical evidence showing that output and prices react asymmetrically to monetary policy innovations over contractions and expansions in the business cycle. We use VAR techniques to show that monetary policy exerts stronger effects on the U.S. GDP during contractionary phases, as compared to expansionary ones. As to prices, their response is not statistically different across different cyclical stages. We show that these facts are consistent with a New Neoclassical Synthesis model based on the assumption that households. utility partly depends on deviations of their consumption from a reference level below which aversion to loss is displayed. In line with the theory developed by Kahneman and Tversky (1979), losses in consumption utility loom larger than gains. This implies state-dependent degrees of real rigidity and elasticity of intertemporal substitution in consumption that generate competing effects on the responses of output and inflation following a monetary innovation. The key predictions of the model are in line with the data. We then explore the state-dependent trade-o¤ between inflation and output stabilization that naturally arises in this context. Greater elasticity of inflation to real activity during expansionary stages of the cycle promotes a stronger degree of policy activism in the response to the expected rate of inflation under discretion, compared to what is otherwise prescribed during contractions.

Factor demand linkages and the business cycle: interpreting aggregate fluctuations as sectoral fluctuations

This paper investigates the drivers of industry and aggregate fluctuations. We model the dynamics of a panel of highly disaggregated manufacturing sectors. This allows us to consider directly the linkages between sectors typical of any production system, in a framework where the sectors are fully heterogeneous. We establish that these features are fundamental for the propagation of the shocks in the aggregate economy. Aggregate fluctuations can be accounted for by small industry specific shocks. Moreover, a contemporaneous technology shock to all sectors in the economy, i.e. an aggregate technology shock, implies a positive response in both output and hours at the aggregate level. When this intersectoral channel is neglected we find a negative correlation as with much of the literature. This suggests that the standard technology driven Real Business Cycle paradigm is a reasonable approximation of a more complicated model featuring heterogeneously interconnected sectors.

Leverage and Deepening Business Cycle Skewness

Documentamos que la economia de Estados Unidos se ha caracterizado por una asimetria del ciclo economico cada vez mas negativa durante las ultimas tres decadas. Este hallazgo puede explicarse por el aumento del apalancamiento financiero de hogares y empresas. nPara mostrar esto, disenamos y estimamos un modelo dinamico de equilibrio general con prestamos garantizados y restricciones de credito ocasionalmente vinculantes. Un mayor apalancamiento aumenta la probabilidad de que las restricciones financieras se relajen ante perturbaciones expansivas, mientras que las perturbaciones contractivas se amplifican al hacerse estas restricciones mas vinculantes. Como resultado, las expansiones se vuelven progresivamente mas suaves y prolongadas que las recesiones. Por tanto, es posible conciliar una mayor asimetria negativa en el ciclo economico junto con la Gran Moderacion en la volatilidad ciclica. Finalmente, de acuerdo con la evidencia empirica reciente, encontramos que las expansiones financieras llevan a contracciones mas profundas que expansiones no financieras de igual tamano.

Size, Age and the Growth of Firms: New Evidence from Quantile Regressions

The nexus between firm growth, size and age in U.S. manufacturing is examined through the lens of quantile regression models. A number of interesting features are unveiled that linear frameworks could not detect. Size pushes both low and high performing firms towards the median rate of growth, while age is never advantageous, and more so as firms grow faster.