Matteo Iacoviello

House prices, borrowing constraints and monetary policy in the business cycle

I develop and estimate a monetary business cycle model with nominal loans and collateral constraints tied to housing values. Demand shocks move housing and nominal prices in the same direction, and are amplified and propagated over time. The financial accelerator is not uniform: nominal debt dampens supply shocks, stabilizing the economy under interest rate control. Structural estimation supports two key model features: collateral effects dramatically improve the response of aggregate demand to housing price shocks; and nominal debt improves the sluggish response of output to inflation surprises. Finally, policy evaluation considers the role of house prices and debt indexation in affecting monetary policy trade-offs.

Housing Market Spillovers: Evidence from an Estimated DSGE Model

We study sources and consequences of fluctuations in the housing market. The upward trend in real housing prices of the last 40 years can be explained by slow technological progress in the housing sector. Over the business cycle, housing demand and housing technology shocks explain one-quarter each of the volatility of housing investment and housing prices. Monetary factors explain 20 percent, but they played a bigger role in the housing cycle at the turn of the century. We show that the housing market spillovers are non-negligible, concentrated on consumption rather than business investment, and have become more important over time.

Financial Liberalization And The Sensitivity Of House Prices To Monetary Policy: Theory And Evidence

We analyse the impact of financial liberalization on the link between monetary policy and house prices. We present a simple model of a small open economy subjectto credit constraints. The model shows that the higher the degree of financial liberalizationis, the stronger is the impact of interest rate shocks on house prices. We then usevector autoregressions to study the role of monetary policy shocks in house price fluctuations in Finland, Sweden and the UK, characterized by financial liberalizationepisodes over the last 20 years. We find that the response of house prices to interestrate surprises is bigger and more persistent in periods characterized by more liberalized financial markets. Copyright Blackwell Publishing Ltd and The Victoria University of Manchester 2003

Collateral Constraints and Macroeconomic Asymmetries

Using Bayesian methods, we estimate a nonlinear general equilibrium model where occasionally binding collateral constraints on housing wealth drive an asymmetry in the link between housing prices and economic activity. The estimated model shows that, as collateral constraints became slack during the housing boom of 2001-2006, expanding housing wealth made a small contribution to consumption growth. By contrast, the housing collapse that followed tightened the constraints and sharply exacerbated the recession of 2007-2009. The empirical relevance of this asymmetry is corroborated by evidence from state- and MSA-level data.

Hedging Housing Risk in London

This paper investigates the benefits of allowing households to compensate the portfolio distortion due to their housing consumption through investments in housing price derivatives. Focusing on the London market, we show that a major loss from over-investment in housing is that households are forced to hold a very risky portfolio. However, the strong performance of the London housing market means that little is lost in terms of expected returns. Even households with limited wealth are better off owning their home rather than renting and investing in financial assets, as long as they are willing to face the financial risk involved. In this context, access to housing price derivatives would benefit most poor homeowners looking to limit their risk exposure. It would also benefit wealthier investors looking for the high returns provided by housing investments without the costs of direct ownership of properties. Comparisons with French, Swedish and U.S. data provide a broader perspective on our findings.

Input and Output Inventories in General Equilibrium

We build and estimate a two-sector (goods and services) dynamic stochastic general equilibrium model with two types of inventories: materials (input) inventories facilitate the production of finished goods, while finished goods (output) inventories yield utility services. The model is estimated using Bayesian methods. The estimated model replicates the volatility and cyclicality of inventory investment and inventory-to-target ratios. Although inventories are an important element of the models propagation mechanism, shocks to inventory efficiency or management are not an important source of business cycles. When the model is estimated over two subperiods (pre and post 1984), changes in the volatility of inventory shocks or in structural parameters associated with inventories, such as the input inventory to output ratio, play a small role in reducing the volatility of output.

Housing in DSGE Models: Findings and New Directions

The goal of this chapter is to make the case that it is time for macroeconomists to restore the imbalance between the practical and empirical relevance of housing for macroeconomics on the one hand, and the treatment that macroeconomic models devote to housing on the other. After discussing a few stylized facts regarding the macroeconomic importance of housing markets, the chapter presents key results from the Iacoviello and Neri’s (2010) DSGE model with housing, a model that is increasingly used in quantitative monetary policy analysis. Directions for further research are then suggested, focusing on the role of financial intermediation, the determinants of house prices and their persistence, the role of economic policy to stabilize house prices and the link between housing and labour markets.

Banks, Sovereign Debt and the International Transmission of Business Cycles

This paper studies the international propagation of sovereign debt default. We posit a two-country economy where capital constrained banks grant loans to firms and invest in bonds issued by the domestic and the foreign government. The model economy is calibrated to data from Europe, with the two countries representing the Periphery (Greece, Italy, Portugal and Spain) and the Core, respectively. Large contractionary shocks in the Periphery trigger sovereign default. We find sizable spillover effects of default from Periphery to the Core through a drop in the volume of credit extended by the banking sector.

Measuring Geopolitical Risk

We present a monthly indicator of geopolitical risk based on a tally of newspaper articles covering geopolitical tensions, and examine its evolution and effects since 1985. The geopolitical risk (GPR) index spikes around the Gulf War, after 9/11, during the 2003 Iraq invasion, during the 2014 Russia-Ukraine crisis, and after the Paris terrorist attacks. High geopolitical risk leads to a decline in real activity, lower stock returns, and movements in capital flows away from emerging economies and towards advanced economies. When we decompose the index into threats and acts components, the adverse effects of geopolitical risk are mostly driven by the threat of adverse geopolitical events. Extending our index back to 1900, geopolitical risk rose dramatically during the World War I and World War II, was elevated in the early 1980s, and has drifted upward since the beginning of the 21st century.

The Credit Channel of Monetary Policy and Housing Markets: International Empirical Evidence

This paper tests for the presence of a credit channel (particularly a bank-lending sub-channel) for monetary policy in the housing market. We argue that the importance of this channel for investment in residential housing is highly dependent on the structural features, and particularly the efficiency and institutional organization, of housing finance. We employ a VAR methodology to analyse this issue with respect to the housing markets of four European countries (Finland, Germany, Norway and the United Kingdom), which differ greatly in terms of structural features. Our results are generally consistent with the existence of a broad credit channel, whereas the bank-lending channel seems to be operational only under certain conditions. More importantly, our results are consistent with previous analyses of housing market efficiency, which strongly suggests the existence of a clear relationship between the presence of a credit (bank lending) channel, the efficiency level of housing finance, and the type of institutions that are active in mortgage provision.