This dissertation consists of three chapters, each containing a distinct research paper in the field of macroeconomics. In the first chapter, I estimate the impact of mutual fund flows on corporate bond prices, issuance and firm investment. I leverage variation caused by the COVID-19 induced financial panic of March 2020 and find that safer firms suffered a larger impact in the component of bond spreads that does not compensate for expected default risk. However, I do not detect impacts of fund flows on issuance or investment. A simple model predicts liquidation decisions and price responses as being driven by demand and liquidation elasticities, which depend on the characteristics of the bond return processes. In the second chapter, we ask: what is the importance of firm and bank credit factors in determining investment responses to monetary policy? We decompose variation in corporate loan growth rates into purely firm-level and bank-level variation. The estimated factors are correlated with a set of variables that proxy for the firm’s and bank’s financial health. Firms with a higher borrowing factor experience relatively larger investment responses to an unexpected interest rate shock; the effect is muted when the shock is the reveal of central bank information. The bank factor does not induce similar heterogeneity in investment responses. In the third chapter, we ask: what is the nature of optimal monetary policy and central bank disclosure when the monetary authority is uncertain about the economic state? We consider a model in which firms make nominal pricing decisions and the central bank sets the nominal interest rate under incomplete information. We find that implementing flexible-price allocations is both feasible and optimal despite the existence of numerous measurability constraints; we explore a series of different implementations. When monetary policy is sub-optimal, public information disclosure by the central bank is welfare-improving as long as either firm or central bank information is sufficiently precise.

Milton Friedman’s article on the optimum quantity of money has motivated much research since its publication. While most of the research has been on deterministic frameworks, a few models (e.g. Bewley 1983, Taub 1989) have extended the analysis to stochastic environments. The first two essays of the dissertation address the issue in two types of stochastic economies. In both the models, quadratic utility and linear constraints have been used to facilitate the use of Whiteman’s techniques (1985). The third essay introduces capital and derives the optimal rate of monetary policy in the presence of financial intermediaries. In the first essay a pure exchange model in which infinitely lived agents face stochastically varying endowments in each period is considered. In this model individuals can delay payment for purchases into the future with a credit card. It shows that the optimal rate of inflation is the same in a world where individuals are required to pay for their purchases immediately as in a world where they can delay payment with a credit card. Moreover, the optimal inflation rate may be positive or negative depending on the parameters of the model. Therefore, Bewley’s (1983) conjecture that deflation should proceed at a rate greater than the rate of time preference in a world of uncertainty is not generally true. The second essay derives the optimum quantity of money in a stochastic production economy. The optimum quantity of money literature largely ignores the effect of labor supply on money’s optimal rate of return. This paper examines the issue in an economy that is subject to stochastic shocks each period. It shows that incorporating production affects the optimal return on money in important ways. If there are individual specific shocks to preferences, then the optimal policy is highly inflationary. When individual preferences are subject to economy wide shocks, however, it is possible for either inflation or deflation to be optimal. The optimal policy depends on the weight individuals attach to the disutility of work and the weight individuals attach to the utility from holding money. Optimal policy responds positively to increases in the disutility from work and negatively to increases in the weight on consumption in the utility function. The paper therefore shows the sensitivity of the optimal policy on the way labor supply is modeled. Since such considerations do not arise in endowment economies, the optimal policy will generally change as one moves from endowment to production economies. In the third essay the Tobin effect and optimal monetary policy are analyzed when financial intermediaries develop endogenously. Providing a justification for the development of intermediaries similar to those found in the recent financial intermediation literature, we show that financial intermediation significantly affects investment decisions and monetary policy. In particular, the cost to intermediaries of providing substitutes of outside money play a critical role. Whether a decrease in the return on outside money will increase investment or not is found to depend on how the cost of providing alternative means of payment is affected. It is found that at low and moderate rates of inflation the Tobin effect remains valid. At high rates of inflation, however, the Tobin effect gets reversed. Further, since borrowers have private information regarding the outcome of the investment projects financed by the lenders, credit rationing may occur in equilibrium. We also derive the rate of return on money that maximizes social welfare. This optimal rate of return is not only dependent on the cost of the alternative means of payment, it also depends critically on whether credit is rationed in equilibrium or not. Finally, the paper highlights some of the distributional issues raised by a change in the rate of return on money. / Ph. D.

This thesis aims to contribute towards a better understanding of the optimal coordination of monetary and fiscal policy in complex economic environments. We analyze the characteristics of optimal dynamics in an economy in which neither prices nor wages adjust instantaneously and lump-sum taxes are unavailable as a source of government finance. We then propose that monetary and fiscal policy should be coordinated to satisfy a pair of simple `specific targeting rules', a rule for inflation and a rule for the growth of real wages. We show that such simple rule-based conduct of policy can do remarkably well in replicating the dynamics of the economy under optimal policy following a given shock. We study optimal policy coordination in the context of an economy where a constant proportion of agents lacks access to the asset market. We find that the optimal economy moves along an analogue of a conventional inflation-output variance frontier in response to a government spending shock, as the population share of non-Ricardian agents rises. The optimal output response rises, while inflation volatility subsides. There is little evidence that increased government spending would crowd in private consumption in the optimal economy. We investigate the optimal properties and wider implications of a macroeconomic policy framework aimed at meeting an unconditional debt target. We show that the best stationary policy in terms of an unconditional welfare measure is characterized by highly persistent debt dynamics, less history-dependence in the conduct of policy, less reliance on debt finance and more short-term volatility following a government spending shock compared with the non-stationary `timelessly optimal' plan.

This thesis examines determinacy and E-stability of economic policy in monetary union models. Monetary policy takes the form of either a contemporaneous or a forecast based interest rate rule, while fiscal policy follows a contemporaneous government spending rule. In the absence of asymmetries, the results from the closed economy literature on learning are retained. However, when introducing asymmetries into monetary union frameworks, the determinacy and E-stability conditions for economic policy differ from both the closed and open economy cases. We find that a monetary union with heterogeneous price rigidities is more likely to be determinate and E-stable. Specifically, the Taylor principle, a key stability condition for the closed economy, is now relaxed. Furthermore, an interest rate rule that stabilizes the terms of trade in addition to output and inflation, is more likely to induce determinacy and local stability under RLS learning. If monetary policy is sufficiently aggressive in stabilizing the terms of trade, then determinacy and E-stability of the union economy can be achieved without direct stabilization of output and inflation. A fiscal policy rule that supports demand for domestic goods following a shock to competitiveness, can destabilize the union economy regardless of the interest rate rule employed by the union central bank. In this case, determinacy and E-stability conditions have to be simultaneously and independently met by both fiscal and monetary policy for the union economy to be stable. When fiscal policy instead stabilizes domestic output gaps while monetary policy stabilizes union output and inflation, fiscal policy directly affects the stability of monetary policy. A contemporaneous monetary policy rule has to be more aggressive to satisfy the Taylor principle, the more aggressive fiscal policy is. On the other hand, when monetary policy is forward looking, an aggressive fiscal policy rule can help induce determinacy.

Pang Po Hing. / Thesis (M.Phil.)--Chinese University of Hong Kong, 1996. / Includes bibliographical references (leaves 67-71). / ABSTRACT --- p.i / ACKNOWLEDGMENT --- p.ii / LIST OF TABLES --- p.v / LIST OF FIGURES --- p.vi / Chapter CHAPTER 1: --- INTRODUCTION --- p.1 / Chapter CHAPTER 2: --- LITERATURE REVIEW --- p.4 / Chapter 2.1 --- Theoretical Review --- p.4 / Chapter 2.1.1 --- Properties of a Target Variable --- p.4 / Chapter 2.1.2 --- Money View --- p.4 / Chapter 2.1.3 --- Credit View --- p.5 / Chapter 2.2 --- Empirical Review --- p.8 / Chapter 2.2.1 --- Money View --- p.8 / Chapter 2.2.2 --- Credit View --- p.10 / Chapter CHAPTER 3: --- METHODOLOGY --- p.14 / Chapter 3.1 --- Vector Autoregression (VAR) --- p.14 / Chapter 3.1.1 --- Estimation of the Reduced Form VAR Model --- p.14 / Chapter 3.1.2 --- The Parameters Restrictions --- p.17 / Chapter 3.1.3 --- The Wald Statistics --- p.23 / Chapter 3.1.4 --- Impulse Response Functions --- p.24 / Chapter 3.1.5 --- Variance Decompositions --- p.25 / Chapter 3.1.6 --- Structural Decomposition --- p.26 / Chapter 3.2 --- Data Diagnoses --- p.27 / Chapter 3.2.1 --- Stationarity of the Time Series --- p.27 / Chapter 3.2.1.1 --- Definition of Stationarity --- p.27 / Chapter 3.2.1.2 --- The Unit Root Tests --- p.27 / Chapter 3.2.1.2a --- The Augmented Dickey and Fuller Tests --- p.27 / Chapter 3.2.1.2b --- The Phillips and Perron Tests --- p.29 / Chapter 3.2.1.2c --- Lag Lengths for the Unit Root Tests --- p.30 / Chapter 3.2.2 --- Selecting the Order of the VAR Model --- p.31 / Chapter 3.2.1 --- Tests for the Model Stability --- p.31 / Chapter 3.3 --- Estimation Procedures --- p.34 / Chapter CHAPTER 4: --- EMPIRICAL RESULTS --- p.36 / Chapter 4.1 --- Results of the Data Diagnoses --- p.36 / Chapter 4.1.1 --- Results of the Unit Root Tests --- p.36 / Chapter 4.1.2 --- Lag Length of the VAR Model --- p.38 / Chapter 4.1.3 --- Results of the Likelihood Ratio Tests --- p.38 / Chapter 4.2 --- Estimation of the Reduced Form VAR Model --- p.39 / Chapter 4.2.1 --- Results of the Parameters Estimates --- p.39 / Chapter 4.2.2 --- The Wald Statistics --- p.43 / Chapter 4.2.3 --- Variance Decompositions --- p.47 / Chapter 4.2.4 --- Impulse Response Functions --- p.54 / Chapter CHAPTER 5: --- IMPLICATIONS AND CONCLUSIONS --- p.62 / REFERENCES --- p.67 / APPENDICES --- p.72

The active use of macroeconomic policies to smooth economic fluctuations and, as a<p>consequence, the stance that policymakers should adopt over the business cycle, remain<p>controversial issues in the economic literature.<p>In the light of the dramatic experience of the early 1930s’ Great Depression, Keynes (1936)<p>argued that the market mechanism could not be relied upon to spontaneously recover from<p>a slump, and advocated counter-cyclical public spending and monetary policy to stimulate<p>demand. Albeit the Keynesian doctrine had largely influenced policymaking during<p>the two decades following World War II, it began to be seriously challenged in several<p>directions since the start of the 1970s. The introduction of rational expectations within<p>macroeconomic models implied that aggregate demand management could not stabilize<p>the economy’s responses to shocks (see in particular Sargent and Wallace (1975)). According<p>to this view, in fact, rational agents foresee the effects of the implemented policies, and<p>wage and price expectations are revised upwards accordingly. Therefore, real wages and<p>money balances remain constant and so does output. Within such a conceptual framework,<p>only unexpected policy interventions would have some short-run effects upon the economy.<p>The "real business cycle (RBC) theory", pioneered by Kydland and Prescott (1982), offered<p>an alternative explanation on the nature of fluctuations in economic activity, viewed<p>as reflecting the efficient responses of optimizing agents to exogenous sources of fluctuations, outside the direct control of policymakers. The normative implication was that<p>there should be no role for economic policy activism: fiscal and monetary policy should be<p>acyclical. The latest generation of New Keynesian dynamic stochastic general equilibrium<p>(DSGE) models builds on rigorous foundations in intertemporal optimizing behavior by<p>consumers and firms inherited from the RBC literature, but incorporates some frictions<p>in the adjustment of nominal and real quantities in response to macroeconomic shocks<p>(see Woodford (2003)). In such a framework, not only policy "surprises" may have an<p>impact on the economic activity, but also the way policymakers "systematically" respond<p>to exogenous sources of fluctuation plays a fundamental role in affecting the economic<p>activity, thereby rekindling interest in the use of counter-cyclical stabilization policies to<p>fine tune the business cycle.<p>Yet, despite impressive advances in the economic theory and econometric techniques, there are no definitive answers on the systematic stance policymakers should follow, and on the<p>effects of macroeconomic policies upon the economy. Against this background, the present thesis attempts to inspect the interrelations between macroeconomic policies and the economic activity from novel angles. Three contributions<p>are proposed. <p><p>In the first Chapter, I show that relying on the information actually available to policymakers when budgetary decisions are taken is of fundamental importance for the assessment of the cyclical stance of governments. In the second, I explore whether the effectiveness of fiscal shocks in spurring the economic activity has declined since the beginning of the 1970s. In the third, the impact of systematic monetary policies over U.S. industrial sectors is investigated. In the existing literature, empirical assessments of the historical stance of policymakers over the economic cycle have been mainly drawn from the estimation of "reduced-form" policy reaction functions (see in particular Taylor (1993) and Galì and Perotti (2003)). Such rules typically relate a policy instrument (a reference short-term interest rate or an indicator of discretionary fiscal policy) to a set of explanatory variables (notably inflation, the output gap and the debt-GDP ratio, as long as fiscal policy is concerned). Although these policy rules can be seen as simple approximations of what derived from an explicit optimization problem solved by social planners (see Kollmann (2007)), they received considerable attention since they proved to track the behavior of central banks and fiscal<p>policymakers relatively well. Typically, revised data, i.e. observations available to the<p>econometrician when the study is carried out, are used in the estimation of such policy<p>reaction functions. However, data available in "real-time" to policymakers may end up<p>to be remarkably different from what it is observed ex-post. Orphanides (2001), in an<p>innovative and thought-provoking paper on the U.S. monetary policy, challenged the way<p>policy evaluation was conducted that far by showing that unrealistic assumptions about<p>the timeliness of data availability may yield misleading descriptions of historical policy.<p>In the spirit of Orphanides (2001), in the first Chapter of this thesis I reconsider how<p>the intentional cyclical stance of fiscal authorities should be assessed. Importantly, in<p>the framework of fiscal policy rules, not only variables such as potential output and the<p>output gap are subject to measurement errors, but also the main discretionary "operating<p>instrument" in the hands of governments: the structural budget balance, i.e. the headline<p>government balance net of the effects due to automatic stabilizers. In fact, the actual<p>realization of planned fiscal measures may depend on several factors (such as the growth<p>rate of GDP, the implementation lags that often follow the adoption of many policy<p>measures, and others more) outside the direct and full control of fiscal authorities. Hence,<p>there might be sizeable differences between discretionary fiscal measures as planned in the<p>past and what it is observed ex-post. To be noted, this does not apply to monetary policy<p>since central bankers can control their operating interest rates with great accuracy.<p>When the historical behavior of fiscal authorities is analyzed from a real-time perspective, it emerges that the intentional stance has been counter-cyclical, especially during expansions, in the main OECD countries throughout the last thirteen years. This is at<p>odds with findings based on revised data, generally pointing to pro-cyclicality (see for example Gavin and Perotti (1997)). It is shown that empirical correlations among revision<p>errors and other second-order moments allow to predict the size and the sign of the bias<p>incurred in estimating the intentional stance of the policy when revised data are (mistakenly)<p>used. It addition, formal tests, based on a refinement of Hansen (1999), do not reject<p>the hypothesis that the intentional reaction of fiscal policy to the cycle is characterized by<p>two regimes: one counter-cyclical, when output is above its potential level, and the other<p>acyclical, in the opposite case. On the contrary, the use of revised data does not allow to identify any threshold effect.<p><p>The second and third Chapters of this thesis are devoted to the exploration of the impact<p>of fiscal and monetary policies upon the economy.<p>Over the last years, two approaches have been mainly followed by practitioners for the<p>estimation of the effects of macroeconomic policies on the real activity. On the one hand,<p>calibrated and estimated DSGE models allow to trace out the economy’s responses to<p>policy disturbances within an analytical framework derived from solid microeconomic<p>foundations. On the other, vector autoregressive (VAR) models continue to be largely<p>used since they have proved to fit macro data particularly well, albeit they cannot fully<p>serve to inspect structural interrelations among economic variables.<p>Yet, the typical DSGE and VAR models are designed to handle a limited number of variables<p>and are not suitable to address economic questions potentially involving a large<p>amount of information. In a DSGE framework, in fact, identifying aggregate shocks and<p>their propagation mechanism under a plausible set of theoretical restrictions becomes a<p>thorny issue when many variables are considered. As for VARs, estimation problems may<p>arise when models are specified in a large number of indicators (although latest contributions suggest that large-scale Bayesian VARs perform surprisingly well in forecasting.<p>See in particular Banbura, Giannone and Reichlin (2007)). As a consequence, the growing<p>popularity of factor models as effective econometric tools allowing to summarize in<p>a parsimonious and flexible manner large amounts of information may be explained not<p>only by their usefulness in deriving business cycle indicators and forecasting (see for example<p>Reichlin (2002) and D’Agostino and Giannone (2006)), but also, due to recent<p>developments, by their ability in evaluating the response of economic systems to identified<p>structural shocks (see Giannone, Reichlin and Sala (2002) and Forni, Giannone, Lippi<p>and Reichlin (2007)). Parallelly, some attempts have been made to combine the rigor of<p>DSGE models and the tractability of VAR ones, with the advantages of factor analysis<p>(see Boivin and Giannoni (2006) and Bernanke, Boivin and Eliasz (2005)).<p><p>The second Chapter of this thesis, based on a joint work with Agnès Bénassy-Quéré, presents an original study combining factor and VAR analysis in an encompassing framework,<p>to investigate how "unexpected" and "unsystematic" variations in taxes and government<p>spending feed through the economy in the home country and abroad. The domestic<p>impact of fiscal shocks in Germany, the U.K. and the U.S. and cross-border fiscal spillovers<p>from Germany to seven European economies is analyzed. In addition, the time evolution of domestic and cross-border tax and spending multipliers is explored. In fact, the way fiscal policy impacts on domestic and foreign economies<p>depends on several factors, possibly changing over time. In particular, the presence of excess<p>capacity, accommodating monetary policy, distortionary taxation and liquidity constrained<p>consumers, plays a prominent role in affecting how fiscal policies stimulate the<p>economic activity in the home country. The impact on foreign output crucially depends<p>on the importance of trade links, on real exchange rates and, in a monetary union, on<p>the sensitiveness of foreign economies to the common interest rate. It is well documented<p>that the last thirty years have witnessed frequent changes in the economic environment.<p>For instance, in most OECD countries, the monetary policy stance became less accommodating<p>in the 1980s compared to the 1970s, and more accommodating again in the<p>late 1990s and early 2000s. Moreover, financial markets have been heavily deregulated.<p>Hence, fiscal policy might have lost (or gained) power as a stimulating tool in the hands<p>of policymakers. Importantly, the issue of cross-border transmission of fiscal policy decisions is of the utmost relevance in the framework of the European Monetary Union and this explains why the debate on fiscal policy coordination has received so much attention since the adoption<p>of the single currency (see Ahearne, Sapir and Véron (2006) and European Commission<p>(2006)). It is found that over the period 1971 to 2004 tax shocks have generally been more effective in spurring domestic output than government spending shocks. Interestingly, the inclusion of common factors representing global economic phenomena yields to smaller multipliers<p>reconciling, at least for the U.K. the evidence from large-scale macroeconomic models,<p>generally finding feeble multipliers (see e.g. European Commission’s QUEST model), with<p>the one from a prototypical structural VAR pointing to stronger effects of fiscal policy.<p>When the estimation is performed recursively over samples of seventeen years of data, it<p>emerges that GDP multipliers have dropped drastically from early 1990s on, especially<p>in Germany (tax shocks) and in the U.S. (both tax and government spending shocks).<p>Moreover, the conduct of fiscal policy seems to have become less erratic, as documented<p>by a lower variance of fiscal shocks over time, and this might contribute to explain why<p>business cycles have shown less volatility in the countries under examination.<p>Expansionary fiscal policies in Germany do not generally have beggar-thy-neighbor effects<p>on other European countries. In particular, our results suggest that tax multipliers have<p>been positive but vanishing for neighboring countries (France, Italy, the Netherlands, Belgium and Austria), weak and mostly not significant for more remote ones (the U.K.<p>and Spain). Cross-border government spending multipliers are found to be monotonically<p>weak for all the subsamples considered.<p>Overall these findings suggest that fiscal "surprises", in the form of unexpected reductions in taxation and expansions in government consumption and investment, have become progressively less successful in stimulating the economic activity at the domestic level, indicating that, in the framework of the European Monetary Union, policymakers can only marginally rely on this discretionary instrument as a substitute for national monetary policies. <p><p>The objective of the third chapter is to inspect the role of monetary policy in the U.S. business cycle. In particular, the effects of "systematic" monetary policies upon several industrial sectors is investigated. The focus is on the systematic, or endogenous, component of monetary policy (i.e. the one which is related to the economic activity in a stable and predictable way), for three main reasons. First, endogenous monetary policies are likely to have sizeable real effects, if agents’ expectations are not perfectly rational and if there are some nominal and real frictions in a market. Second, as widely documented, the variability of the monetary instrument and of the main macro variables is only marginally explained by monetary "shocks", defined as unexpected and exogenous variations in monetary conditions. Third, monetary shocks can be simply interpreted as measurement errors (see Christiano, Eichenbaum<p>and Evans (1998)). Hence, the systematic component of monetary policy is likely to have played a fundamental role in affecting business cycle fluctuations. The strategy to isolate the impact of systematic policies relies on a counterfactual experiment, within a (calibrated or estimated) macroeconomic model. As a first step, a macroeconomic shock to which monetary policy is likely to respond should be selected,<p>and its effects upon the economy simulated. Then, the impact of such shock should be<p>evaluated under a “policy-inactive” scenario, assuming that the central bank does not respond<p>to it. Finally, by comparing the responses of the variables of interest under these<p>two scenarios, some evidence on the sensitivity of the economic system to the endogenous<p>component of the policy can be drawn (see Bernanke, Gertler and Watson (1997)).<p>Such kind of exercise is first proposed within a stylized DSGE model, where the analytical<p>solution of the model can be derived. However, as argued, large-scale multi-sector DSGE<p>models can be solved only numerically, thus implying that the proposed experiment cannot<p>be carried out. Moreover, the estimation of DSGE models becomes a thorny issue when many variables are incorporated (see Canova and Sala (2007)). For these arguments, a less “structural”, but more tractable, approach is followed, where a minimal amount of<p>identifying restrictions is imposed. In particular, a factor model econometric approach<p>is adopted (see in particular Giannone, Reichlin and Sala (2002) and Forni, Giannone,<p>Lippi and Reichlin (2007)). In this framework, I develop a technique to perform the counterfactual experiment needed to assess the impact of systematic monetary policies.<p>It is found that 2 and 3-digit SIC U.S. industries are characterized by very heterogeneous degrees of sensitivity to the endogenous component of the policy. Notably, the industries showing the strongest sensitivities are the ones producing durable goods and metallic<p>materials. Non-durable good producers, food, textile and lumber producing industries are<p>the least affected. In addition, it is highlighted that industrial sectors adjusting prices relatively infrequently are the most "vulnerable" ones. In fact, firms in this group are likely to increase quantities, rather than prices, following a shock positively hitting the economy. Finally, it emerges that sectors characterized by a higher recourse to external sources to finance investments, and sectors investing relatively more in new plants and machineries, are the most affected by endogenous monetary actions. / Doctorat en sciences économiques, Orientation économie / info:eu-repo/semantics/nonPublished