Offering a unifying theoretical perspective not readily available in any other text, this innovative guide to econometrics uses simple geometrical arguments to develop students' intuitive understanding of basic and advanced topics, emphasizing throughout the practical applications of modern theory and nonlinear techniques of estimation. One theme of the text is the use of artificial regressions for estimation, reference, and specification testing of nonlinear models, including diagnostic tests for parameter constancy, serial correlation, heteroscedasticity, and other types of mis-specification. Explaining how estimates can be obtained and tests can be carried out, the authors go beyond a mere algebraic description to one that can be easily translated into the commands of a standard econometric software package. Covering an unprecedented range of problems with a consistent emphasis on those that arise in applied work, this accessible and coherent guide to the most vital topics in econometrics today is indispensable for advanced students of econometrics and students of statistics interested in regression and related topics. It will also suit practising econometricians who want to update their skills. Flexibly designed to accommodate a variety of course levels, it offers both complete coverage of the basic material and separate chapters on areas of specialized interest.

Estimation and Inference in Econometrics

Few areas of monetary economics have been studied as extensively as the transmission mechanism. The literature on this topic has evolved substantially over the years, following the waxing and waning of conceptual frameworks and the changing characteristics of the financial system. In this paper, taking as a starting point a brief overview of the extant work on the interaction between capital regulation, the business cycle and the transmission mechanism, we offer some broader reflections on the characteristics of the transmission mechanism in light of the evolution of the financial system. We argue that insufficient attention has so far been paid to the link between monetary policy and the perception and pricing of risk by economic agents - what might be termed the "risk-taking channel" of monetary policy. We develop the concept, compare it with current views of the transmission mechanism, explore its mutually reinforcing link with "liquidity" and analyse its interaction with monetary policy reaction functions. We argue that changes in the financial system and prudential regulation may have increased the importance of the risk-taking channel and that prevailing macroeconomic paradigms and associated models are not well suited to capturing it, thereby also reducing their effectiveness as guides to monetary policy.

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Capital Regulation, Risk-Taking and Monetary Policy: A Missing Link in the Transmission Mechanism?

The ability of a two-sector model to quantify the contribution of the housing market to business fluctuations is investigated using U.S. data and Bayesian methods. The estimated model, which contains nominal and real rigidities and collateral constraints, displays the following features: first, a large fraction of the upward trend in real housing prices over the last 40 years can be accounted for by slow technological progress in the housing sector; second, residential investment and housing prices are very sensitive to monetary policy and housing demand shocks; third, the wealth effects from housing on consumption are positive and significant, and have become more important over time. The structural nature of the model allows identifying and quantifying the sources of fluctuations in house prices and residential investment and measuring the contribution of housing booms and busts to business cycles.

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Housing Market Spillovers: Evidence from an Estimated DSGE Model

Capital regulation, risk-taking and monetary policy: A missing link in the transmission mechanism?

Under the traditional "competition-fragility" view, more bank competition erodes market power, decreases profit margins, and results in reduced franchise value that encourages bank risk taking. Under the alternative "competition-stability" view, more market power in the loan market may result in greater bank risk as the higher interest rates charged to loan customers make it more difficult to repay loans and exacerbate moral hazard and adverse selection problems. But even if market power in the loan market results in riskier loan portfolios, the overall risks of banks need not increase if banks protect their franchise values by increasing their equity capital or engaging in other risk-mitigating techniques. The authors test these theories by regressing measures of loan risk, bank risk, and bank equity capital on several measures of market power, as well as indicators of the business environment, using data for 8,235 banks in 23 developed nations. The results suggest that - consistent with the traditional "competition-fragility" view - banks with a greater degree of market power also have less overall risk exposure. The data also provide some support for one element of the "competition-stability" view - that market power increases loan portfolio risk. The authors show that this risk may be offset in part by higher equity capital ratios.

https://papers.ssrn.com/sol3/Delivery.cfm/4696.pdf?abstractid=1243102

Bank Competition and Financial Stability

This paper studies the role of credit-supply factors in business cycle fluctuations. For this purpose, we introduce an imperfectly competitive banking sector into a DSGE model with financial frictions. Banks issue collateralized loans to both households and firms, obtain funding via deposits and accumulate capital from retained earnings. Margins charged on loans depend on bank capital-to-assets ratios and on the degree of interest rate stickiness. Bank balance-sheet constraints establish a link between the business cycle, which affects bank profits and thus capital, and the supply and cost of loans. The model is estimated with Bayesian techniques using data for the euro area. The analysis delivers the following results. First, the existence of a banking sector partially attenuates the effects of demand shocks, while it helps propagate supply shocks. Second, shocks originating in the banking sector explain the largest share of the fall of output in 2008 in the euro area, while macroeconomic shocks played a limited role. Third, an unexpected destruction of bank capital has a substantial impact on the real economy and particularly on investment.

Credit and Banking in a DSGE Model of the Euro Area

This paper studies the role of credit-supply factors in business cycle ∞uctuations. To this end, an imperfectly competitive banking sector is introduced into a DGSE model with flnancial frictions. Banks issue loans to both households and flrms, obtain funding via deposits and accumulate capital out of retained earnings. Margins charged on loans depend on bank capital-to-asset ratio and on the degree of interest rate stickiness. Bank balance-sheet constraints establish a link between the business cycle, which afiects bank proflts and thus capital, and the supply and the cost of loans. The model is estimated with Bayesian techniques using data for the euro area. We show that shocks originating in the banking sector explain the largest fraction of the fall of output in 2008 in the euro area, while macroeconomic shocks played a smaller role. We also flnd that an unexpected reduction in bank capital can have a substantial impact on the real economy and particularly on investment. JEL: E30; E32; E43; E51; E52;

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Credit and banking in a DSGE model of the euro area

The financial crisis and the ensuing recession have caused a sharp deterioration in public finances across advanced economies, raising investor concerns about sovereign risk. The concerns have so far mainly affected the euro area, where some countries have seen their credit ratings downgraded during 2009−11 and their funding costs rise sharply. Other countries have also been affected, but to a much lesser extent. Greater sovereign risk is already having adverse effects on banks and financial markets.
Looking forward, sovereign risk concerns may affect a broad range of countries. In advanced economies, government debt levels are expected to rise over coming years, due to high fiscal deficits and rising pension and health care costs. In emerging economies, vulnerability to external shocks and political instability may have periodic adverse effects on sovereign risk. Overall, risk premia on government debt will likely be higher and more volatile than in the past. In some countries, sovereign debt has already lost its risk-free status; in others, it may do so in the future.
The challenge for authorities is to minimise the negative consequences for bank funding and the flow-on effects on the real economy. This report outlines the impact of sovereign risk concerns on the cost and availability of bank funding over recent years. It then describes the channels through which sovereign risk affects bank funding. The last section summarises the main conclusions and discusses some implications for banks and the official sector.
Two caveats are necessary before discussing the main findings. First, the analysis focuses on causality going from sovereigns to banks, as is already the case in some countries, and, looking forward, is a possible scenario for other economies. But causality may clearly also go from banks to sovereigns. However, even in this second case, sovereign risk eventually acquires its own dynamics and compounds the problems of the banking sector. Second, the report examines the link between sovereign risk and bank funding in general terms, based on recent experience and research. It does not assess actual sovereign risk and its impact on bank stability in individual countries at the present juncture.

The impact of sovereign credit risk on bank funding conditions

The global financial crisis has reaffirmed the importance of financial factors for macroeconomic fluctuations. Recent work has shown how the conventional pre-crisis prescription that monetary policy should pay no attention to financial variables over and above their effects on inflation may no longer be valid in models that consider frictions in financial intermediation (Curdia and Woodford, 2009). This paper analyzes whether Taylor rules augmented with asset prices and credit can improve upon a standard rule in terms of macroeconomic stabilization in a DSGE with both a firms' balance-sheet channel and a bank-lending channel and in which the spread between lending and policy rates endogenously depends on banks' leverage. The main result is that, even in a model in which financial stability does not represent a distinctive policy objective, leaning-against-the-wind policies are desirable in the case of supply-side shocks whenever the central bank is concerned with output stabilization, while both strict inflation targeting and a standard rule are less effective. The gains are amplified if the economy is characterized by high private sector indebtedness.

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Should Monetary Policy Lean Against the Wind? An Analysis Based on a DSGE Model with Banking

We analyse the wide array of rescue programmes adopted in several countries, following Lehman Brothers’ default in September 2008, in order to support banks and other financial institutions. We first provide an overview of the programmes, comparing their characteristics, magnitudes and participation rates across countries. We then consider the effects of the programmes on banks’ risk and valuation, looking at the behaviour of CDS premia and stock prices. We then proceed to analyse the issuance of government guaranteed bonds by banks, examining their impact on banks’ funding and highlighting undesired effects and distortions. Finally, we briefly review the recent evolution of bank lending to the private sector. We draw policy implications, in particular as regards the way of mitigating the distortions implied by such programmes and the need for an exit strategy.

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Federico Maria Signoretti

Papers

Credit and Banking in a DSGE Model of the Euro Area

Credit and banking in a DSGE model of the euro area

The impact of sovereign credit risk on bank funding conditions

Should Monetary Policy Lean Against the Wind? An Analysis Based on a DSGE Model with Banking

An assessment of financial sector rescue programmes