This dissertation consists of three essays on housing markets and monetary policy. The first essay focuses on the impact of monetary policy on U.S. local housing markets and finds that monetary policy has uneven impacts on local housing markets, and that the magnitude of the impacts are correlated with housing supply regulations. The second essay studies the optimal interest rate rule in a DSGE model with housing market spillovers and finds that the optimal interest rate rule responds to house price inflation even when the stabilization of house price is not among the objectives of the policymaker. The third essay is the core of this dissertation. I construct a dynamic stochastic general equilibrium (DSGE) model in this paper to study the fluctuations in the U.S. housing markets. The model features a market for newly built houses, a secondary market for old houses, and an endogenous term structure of nominal interest rates. Negative technological progress in the housing sector explains the upward trend in house prices over the past four decades. Housing preference and technology innovations explain about 80% of the volatility of housing investment, real price of new houses, and the old-to-new house price ratio. Monetary factors explain about 15% of the volatility of housing investment, but do not significantly contribute to the price fluctuations of either new or old houses. The preference innovation to old houses is the leading determinant of the run-up in the price of old houses relative to the price of new houses during the 10-year period before the Great Recession. The term structure is endogenous in this paper, and the intertemporal preference innovation makes a non-negligible contribution to the variations in nominal interest rates. Housing market conditions do not contribute much to the fluctuations of interest rates, but significantly affect the shape of the yield curve. / Ph. D.

This Thesis is composed by three independent papers that investigate central debates in empirical macroeconomic modeling. Chapter 1, entitled “A Model for Real-Time Data Assessment with an Application to GDP Growth Rates”, provides a model for the data revisions of macroeconomic variables that distinguishes between rational expectation updates and noise corrections. Thus, the model encompasses the two polar views regarding the publication process of statistical agencies: noise versus news. Most of the studies previous studies that analyze data revisions are based on the classical noise and news regression approach introduced by Mankiew, Runkle and Shapiro (1984). The problem is that the statistical tests available do not formulate both extreme hypotheses as collectively exhaustive, as recognized by Aruoba (2008). That is, it would be possible to reject or accept both of them simultaneously. In turn, the model for the DPP presented here allows for the simultaneous presence of both noise and news. While the “regression approach” followed by Faust et al. (2005), along the lines of Mankiew et al. (1984), identifies noise in the preliminary figures, it is not possible for them to quantify it, as done by our model. The second and third chapters acknowledge the possibility that macroeconomic data is measured with errors, but the approach followed to model the missmeasurement is extremely stylized and does not capture the complexity of the revision process that we describe in the first chapter. Chapter 2, entitled “Revisiting the Success of the RBC model”, proposes the use of dynamic factor models as an alternative to the VAR based tools for the empirical validation of dynamic stochastic general equilibrium (DSGE) theories. Along the lines of Giannone et al. (2006), we use the state-space parameterisation of the factor models proposed by Forni et al. (2007) as a competitive benchmark that is able to capture weak statistical restrictions that DSGE models impose on the data. Our empirical illustration compares the out-of-sample forecasting performance of a simple RBC model augmented with a serially correlated noise component against several specifications belonging to classes of dynamic factor and VAR models. Although the performance of the RBC model is comparable to that of the reduced form models, a formal test of predictive accuracy reveals that the weak restrictions are more useful at forecasting than the strong behavioral assumptions imposed by the microfoundations in the model economy. The last chapter, “What are Shocks Capturing in DSGE modeling”, contributes to current debates on the use and interpretation of larger DSGE models. Recent tendency in academic work and at central banks is to develop and estimate large DSGE models for policy analysis and forecasting. These models typically have many shocks (e.g. Smets and Wouters, 2003 and Adolfson, Laseen, Linde and Villani, 2005). On the other hand, empirical studies point out that few large shocks are sufficient to capture the covariance structure of macro data (Giannone, Reichlin and Sala, 2005, Uhlig, 2004). In this Chapter, we propose to reconcile both views by considering an alternative DSGE estimation approach which models explicitly the statistical agency along the lines of Sargent (1989). This enables us to distinguish whether the exogenous shocks in DSGE modeling are structural or instead serve the purpose of fitting the data in presence of misspecification and measurement problems. When applied to the original Smets and Wouters (2007) model, we find that the explanatory power of the structural shocks decreases at high frequencies. This allows us to back out a smoother measure of the natural output gap than that resulting from the original specification.

In the aftermath of the recent financial crisis, an environment of historically low interest rates and extensive household indebtedness in the OECD countries have triggered a vivid debate on whether central banks should react to house price fluctuations in their pursuit of monetary policy. In Sweden, a period of low policy rates and house price inflation was halted when the central bank increased the interest rates in 2010. This paper studies whether the Riksbank reacted to house prices in 1993-2013. Using Bayesian methods and quarterly data, I estimate a DSGE model with patient and impatient households, where the central bank reacts to house price inflation. The results suggest that the Riksbank did respond to house prices during the sample period. The findings are robust and plausible from an economic point of view.

[pt] Esta tese consiste de três ensaios sobre política monetária. O primeiro investiga o problema de endogeneidade relacionado a estimação de regras de política monetária. O estimador de Mínimos Quadrados Ordinários gera estimativas viesadas e inconsistentes devido ao problema de endogeneidade. O uso de Método Generalizados dos Momentos (MGM) tem sido defendido como uma maneira eficiente de eliminar o viés. Nós usamos um modelo Novo Keynesiano de três equações para mostrar analiticamente que o viés de endogeneidade é uma função da fração da variância das variáveis contabilizadas pelo choque monetário. Se os choques monetários explicam apenas uma pequena fração das variações da inflação e do hiato do produto, então o viés de endogeneidade é pequeno. Nós então usamos métodos de Monte Carlo para mostrar que este resultado sobrevive em modelos econômicos mais complexos. No segundo artigo nós estimamos um modelo dinâmico estocástico de equilíbrio geral para avaliar os efeitos de forward guidance em um ambiente em que o prêmio de risco varia no tempo. Nós avaliamos os efeitos de forward guidance sobre a curva de juros e documentamos como choques de news impactam as variáveis macroeconômicas. Os resultados mostram que forward guidance tem impacto limitado na macroeconomia. Além disso, nossos resultados sugerem que o forward guidance puzzle não pode ser eliminado mesmo em um ambiente no qual forward guidance tem papel limitado nas taxas de juros mais longas. O terceiro artigo explora informações das variações dos juros para identificar choques monetários de news em um modelo macro-financeiro dinâmico. Nós permitimos variação no prêmio de risco e correlação entre os choques de news em um modelo restrito à taxa nominal de juros igual a zero. Apresentamos evidências de que o uso de métodos de máxima verossimilhança, combinado com modelos dinâmicos, não é suficiente para identificar os choques de news. Esta falha está associada com a ausência de mecanismos mais sofisticados para lidar com os movimentos da curva de juros durante o período recente de recessão econômica. / [en] This thesis consists of three essays on monetary policy. The first investigates the endogeneity problem related to monetary policy rules estimation. Ordinary Least Square estimator generates biased and inconsistent estimates due to endogeneity. Generalized Method of Moments (GMM) has been used on the pretext of eliminating the bias. We show analytically in the 3-equation New Keynesian model that the asymptotic bias is a function of the fraction of the variance of variables accounted for by monetary policy shocks. Since the monetary policy shocks explain only a small fraction of inflation and the output gap, hence, the endogeneity bias is small. We use Monte Carlo methods to show that this result survives in larger DSGE models. In the second article we estimate a medium-scale DSGE model to assess the effects of forward guidance in a framework with endogenous time-varying price of risk. We investigate how the forward guidance impact the term structure of interest rates, and document how different monetary policy news can impact macroeconomic variables. We find that forward guidance, through isolated news shocks, has limited impact on long term rates. Also, anticipated and surprise shocks have similar effects on bond yields as the economy is not restricted by the ZLB. Further, our results suggest that the forward guidance puzzle cannot be eliminated even within a framework in which forward guidance has limited impact on long term rates. The third essay exploits information from changes in yield curve to identify monetary news shocks in a macro-financial DSGE model. We allow a timevarying term premium and zero lower bound (ZLB) constraints. Although the DSGE econometric literature has argued in favor of the likelihood-based methods to identify and estimate the anticipated components of exogenous innovations, we show evidence that this approach, in combination with a standard New Keynesian DSGE model, does not provide a satisfactory estimation of the recent course of forward guidance shocks. This failure is associated with the absence of a richer mechanism to deal with the yield curve in the the recent recession.

<p>This dissertation is the collection of three essays aimed to evaluate the empirical performance of dynamic stochastic general equilibrium (DSGE) models in explaining the behavior of macroeconomic dynamics in emerging countries. </p><p>Chapter 1, which is joint work with M. Uribe and R. Pancrazzi, investigates the hypothesis that a real business cycles model driven by permanent and transitory productivity shocks can explain well observed business-cycle fluctuations in emerging countries. The model is estimated using more than a century of Argentine data. </p><p>In Chapter 2, a comprehensive real DSGE model of an emerging country is estimated using Bayesian techniques, expanding the data set used in Chapter 1. The goal is to characterize the relative relevance of ten different business cycles' drivers: three sectorial technology shocks, embodied and disembodied non-stationary technology, terms of trade, the world interest rate, trade policy, government expenditures and the country premium. </p><p>Finally, Chapter 3 estimates (using Mexican data) a DSGE model of an emerging country containing many frictions, as has been recently argued, that impose non-trivial constraints for monetary-policy design. In particular, the framework features a sectorial decomposition of the productive sector, intermediate inputs, imperfect pass-through, endogenous premium to finance capital accumulation, a liability-dollarization problem, currency substitution, price and wage rigidities, and dynamics driven by eleven shocks.</p> / Dissertation

This thesis consists of four essays in empirical macroeconomics. What Are the Effects of Fiscal Policy Shocks? A VAR-Based Comparative Analysis The literature using structural vector autoregressions (SVARs) to assess the effects of fiscal policy shocks strongly disagrees on the qualitative and quantitative response of key macroeconomic variables. We find that controlling for differences in specification of the reduced-form model, all identification approaches used in the literature yield similar results regarding the effects of government spending shocks, but diverging results regarding the effects of tax shocks. The Analytics of SVARs. A Unified Framework to Measure Fiscal Multipliers Does fiscal policy stimulate output? SVARs have been used to address this question, but no stylized facts have emerged. I show that different priors about the output elasticities of tax revenue and government expenditures implied by the identification schemes generate a large dispersion in the estimates of tax and spending multipliers. I estimate fiscal multipliers consistent with prior distributions of the elasticities computed by a variety of empirical strategies. I document that in the U.S. spending multipliers are larger than the tax multipliers. Computing DSGE Models with Recursive Preferences and Stochastic Volatility This paper compares solution methods for computing the equilibrium of dynamic stochastic general equilibrium models with recursive preferences and stochastic volatility. The main finding is that a third-order perturbation is competitive in terms of accuracy with Chebyshev polynomials and value function iteration, while being an order of magnitude faster to run. Business Cycle Accounting and Misspecified DSGE Models This paper investigates how insights from the literature on business cycle accounting can be used to trace out the implications of missing channels in a baseline estimated dynamic stochastic general equilibrium model used for forecast and policy analysis.

L’interaction sphère financière/sphère réelle a longtemps été délaissée dans les modèles macroéconomiques, postulant généralement la neutralité de la première. La récente crise financière dite des subprime démontre qu’il en est autrement. Cette thèse propose trois essais sur le rôle du secteur financier et plus particulièrement bancaire à l’aune de la dernière crise.Le premier consiste à donner un cadre formel à la nature exceptionnelle de la crise en abandonnant l’hypothèse de normalité des ‘événements résiduels’. Nos résultats réfutent le caractère ‘normal’ de la crise mais, aussi et surtout, soulignent les biais en termes de diagnostics économiques à la considérer comme telle.Par ailleurs, un des effets exceptionnels de cette crise a été le recours à des politiques monétaires non conventionnelles. La deuxième partie de la thèse suggère à ce titre l’incertitude sur les marchés interbancaires comme une raison probable de l’inefficacité des politiques monétaires conventionnelles. Une politique monétaire équilibrée entre lutte contre l'inflation et soutien à l'économie réelle serait néanmoins plus à même de réduire les effets de cette incertitude sur le cycle économique.Enfin, le troisième volet de la thèse propose une étude d’impact de la nouvelle réglementation Bâle III sur le secteur réel. L’absence d’externalités positives entre la mise en œuvre de la contrainte de capitalisation et celle du LCR accentue davantage l’écart de production entre PME et grandes entreprises, induisant un impact récessif global encore plus sensible. Une mise en œuvre plus lente et parfaitement annoncée des nouvelles normes réglementaires pourrait néanmoins nuancer ces effets. / Until recently, most macroeconomic models have ignored the interaction between financial and real sectors, postulating the neutrality of the former. However, the last financial crisis, also known as subprime crisis, rejected this assumption. In this thesis we propose three essays where we try to shed light on the role of the financial and more particularly the banking sector during the last crisis.The first essay provides a formal assessment of the exceptional nature of the crisis by challenging the usual ‘normality’ assumption of the innovations. Our results refute the ‘normality’ assumption for the crisis, but also and more importantly, they put forward possible biases from using this assumption in macroeconometric models.The exceptional features of the crisis can also be seen in the use of unconventional monetary policy. The second chapter of the thesis shows how higher volatility in the interbank market impedes the standard monetary policy effects. However, a central bank with a more balanced monetary policy, reacting both to inflation pressures and to GDP variations, would be in a better situation to dampen the effects of interbank volatility shocks on the economic cycle.The last chapter deals with the impact on the real sector of the new Basel III regulatory requirements. The fulfillment of the new capital ratio has no positive spill-over effects on the Liquidity Coverage Ratio which magnifies the output discrepancy between SMEs and corporate firms. This, in turn, generates a greater recessionary impact on the overall economy. A more progressive implementation of the new regulation combined with perfect expectations should however decrease such adverse effects.

Dynamic stochastic general equilibrium (DSGE) models are the common workhorse of modern macroeconomic theory. Whereas story-telling and policy analysis were in the forefront of applications since its inception, the forecasting perspective of DSGE models is only recently topical. In this study, we perform a post-mortem analysis of the predictive power of DSGE models in the case of Austria's Great Recession in 2009. For this purpose, eight DSGE models with different characteristics (small and large models; closed and open economy models; one and two-country models) were used. The initial hypothesis was that DSGE models are inferior in ex-ante forecasting a crisis. Surprisingly however, it turned out that not all but those models which implemented features of the causes of the global financial crisis (like financial frictions or interbank credit flows) could not only detect the turning point of the Austrian business cycle early in 2008 but they also succeeded in forecasting the following severe recession in 2009. In comparison, non-DSGE methods like the ex-ante forecast with the Global Economic (Macro) Model of Oxford Economics and WIFO's expert forecasts performed comparable or better than most DSGE models in the crisis.

Essay 1: Expectation-Driven House Prices, Debt Default and Inflation Dynamics We contribute to the literature on dynamic stochastic general equilibrium (DSGE) models with housing collateral by including shocks to house price expectations. We also incorporate endogenous mortgage defaults that are rarely included in DSGE models with housing collateral. We use this model to study the effects of variations in house price expectations on macroeconomic dynamics and their implications for monetary policy. Model simulations show that an increase in expected future house prices leads to a decline in mortgage default rate and interest rates on household and business loans, whereas it leads to an increase in house prices, housing demand, household debt, business debt, bank leverage ratio and economic activity. In contrast to previous studies, we find that inflation is low during a house price boom. Finally, we show that monetary policy that takes into account household credit growth reduces the volatility of output and dampens a rise in housing demand, household debt and bank leverage ratio that enhances financial stability. However, a central bank that reacts to household credit growth increases the volatility of inflation. / Essay 2: House Price Expectations, Boom-Bust Cycles and Implications for Monetary Policy This essay examines the role of household expectations about future house prices and their implications for boom-bust cycles and monetary policy. Our findings are as follows. First, waves of optimism and pessimism about future house prices generate boom-bust cycles in house prices, financial activities (household debt, business debt, bank leverage, interest rates on household and business loans) and the real economy (housing demand, consumption, employment, investment and output). Second, we find that inflation declines during a house price boom and increases during a house price burst. Third, we find that monetary policy that reacts to household credit growth reduces the magnitude of boom-bust cycles and improves household welfare. Fourth, we find that the case for taking into account household credit growth becomes stronger in an economy in which the bank capital to asset ratio requirement is low, interest rates on loans and deposits adjust immediately to changes in the policy rate, or the household sector is highly indebted. / Essay 3: Credit Disruptions and the Spillover Effects between the Household and Business Sectors This essay examines the effects of credit supply disruptions in a New Keynesian DSGE model with housing collateral and working capital channels. A tightening of business credit conditions creates negative spillovers from the business sector to the household sector through labor income and housing collateral channels. A tightening of household credit conditions has negative spillover effects on the business sector via the housing collateral channel. We find that spillovers are more sensitive to changes in leverage where the shock occurs. A negative business credit shock creates upward pressure on inflation, whereas a negative household credit shock creates downward pressure on inflation. The working capital channel magnifies the response of inflation to a business credit shock, whereas it dampens the response of inflation to a household credit shock.

Negli ultimi dieci anni siamo stati testimoni di una delle più grandi crisi che il mondo ha visto. Il lavoro dei macroeconomisti è diventato più attivo, nell'urgenza di trovare la via d'uscita, molti degli strumenti applicati per la professione di economista sono stati rispolverati ed aggiornati per le nuove esigenze della crisi economica. Tra gli strumenti per la ricerca economica c'è lo modello dinamico stocastico di equilibrio generale (DSGE). Questa tesi è composta da quattro capitoli che coinvolgono l'intermediazione e/o politiche condotte dai governi o banche centrali finanziarie. I primi tre capitoli partono sul modello DSGE mentre l' ultimo su un modello macroeconomico principale-agente. Il primo (scritto come una rassegna delle principali indagini in DSGE) trata dei cicli di credito, di acceleratori finanziari, del mercato immobiliare, del settore bancario, dell'assunzione dei rischi e delle politiche monetarie. Il secondo analizza l'impatto delle variazioni tra il rapporto di leva e le riserve necessarie all'interno, che al giorno d'oggi regolano alcune delle politiche popolari. Il terzo capitolo incorpora un mercato dei prestiti interbancari per l'analisi degli shock di rischio generato nel settore bancario e come si sviluppa l'economia. Il quarto invece è un'indagine che si scosta dal modello macroeconomico principale-agente; comprende un governo attivo con le tasse e sussidi di disoccupazione. / During the last decade we were witness of one of the biggest crises that the world has seen. The job of the macroeconomists became more active, in the urgency for finding the way out; many of the tools applied for the economist profession were dusted off and updated for the new needs of the economic crisis. Among the tools for economic research there is the Dynamic Stochastic General Equilibrium Model (DSGE). This dissertation consists of four chapters involved in financial intermediation and/or policies conducted by the governments or central banks. The first three chapters depart from the DSGE model while the last is a macroeconomic agent based model. The first, written as a review of the main investigations in the DSGE, covers several fields as credit cycles, financial accelerator, housing market, banking sector, risk taking and monetary policies. The second chapter analyses the impacts of changes in the leverage ratio and the required reserves within, some of the popular regulation policies nowadays. The third chapter incorporates an interbank lending market for the analysis of risk shocks generated in the banking sector and how it is spread to the economy. The fourth chapter is an investigation that departs from the macroeconomic agent based model; it incorporates an active government with taxes and unemployment subsidies.