We estimate a New Keynesian small open economy model which allows for foreign exchange (FX) market frictions and a potential role for FX interventions for a large set of emerging market economies (EMEs) and some inflation targeting (IT) advanced economy (AE) countries serving as a control group. Next, we use the estimated model to examine the empirical support for the view that interest rate policy may not be sufficient to stabilize output and inflation following capital outflow shocks, and the extent to which FX interventions (FXI) can improve policy tradeoffs. Our results reveal significant structural differences between AEs and EMEs—in particular FX market depth—leading to different transmission of capital outflow shocks which justifies occasional use of FXI in some EMEs in certain situations. Our analysis also highlights the critical importance of accounting for the endogeneity of FXI behavior when assessing FX market depth and policy tradeoffs associated with volatile capital flows in past episodes.

This paper presents the theoretical structure of MAPMOD, a new IMF model designed to study vulnerabilities associated with excessive credit expansions, and to support macroprudential policy analysis. In MAPMOD, bank loans create purchasing power that facilitates adjustments in the real economy. But excessively large and risky loans can impair balance sheets and sow the seeds of a financial crisis. Banks respond to losses through higher spreads and rapid credit cutbacks, with adverse effects for the real economy. These features allow the model to capture the basic facts of financial cycles. A companion paper studies the simulation properties of MAPMOD.

Policymakers often face difficult tradeoffs in pursuing domestic and external stabilization objectives. The paper reflects staff’s work to advance the understanding of the policy options and tradeoffs available to policymakers in a systematic and analytical way. The paper recognizes that the optimal path of the IPF tools depends on structural characteristics and fiscal policies. The operational implications of IPF findings require careful consideration. Developing safeguards to minimize the risk of inappropriate use of IPF policies will be essential. Staff remains guided by the Fund’s Institutional View (IV) on the Liberalization and Management of Capital Flows.

Dynamic stochastic general equilibrium (DSGE) models have become one of the workhorses of modern macroeconomics and are extensively used for academic research as well as forecasting and policy analysis at central banks. This book introduces readers to state-of-the-art computational techniques used in the Bayesian analysis of DSGE models. The book covers Markov chain Monte Carlo techniques for linearized DSGE models, novel sequential Monte Carlo methods that can be used for parameter inference, and the estimation of nonlinear DSGE models based on particle filter approximations of the likelihood function. The theoretical foundations of the algorithms are discussed in depth, and detailed empirical applications and numerical illustrations are provided. The book also gives invaluable advice on how to tailor these algorithms to specific applications and assess the accuracy and reliability of the computations. Bayesian Estimation of DSGE Models is essential reading for graduate students, academic researchers, and practitioners at policy institutions.

The simulated results of this paper show that New Keynesian DSGE models with capital accumulation can generate substantial persistencies in the dynamics of the main economic variables, due to the stock nature of capital. Empirical estimates on U.S. data from 1960:I to 2008:I show the response of monetary policy to inflation was almost twice lower than traditionally considered, as capital accumulation creates an additional channel of influence through real interest rates in the production sector. Versions of the model with indeterminacy empirically outperform determinate versions. This paper allows for the reconsideration of previous findings and has significant monetary policy implications.

In this collection of 17 articles, top scholars synthesize and analyze scholarship on this widely used tool of policy analysis, setting forth its accomplishments, difficulties, and means of implementation. Though CGE modeling does not play a prominent role in top US graduate schools, it is employed universally in the development of economic policy. This collection is particularly important because it presents a history of modeling applications and examines competing points of view. - Presents coherent summaries of CGE theories that inform major model types - Covers the construction of CGE databases, model solving, and computer-assisted interpretation of results - Shows how CGE modeling has made a contribution to economic policy

This open access book analyzes and seeks to consolidate the use of robust quantitative tools and qualitative methods for the design and assessment of energy and climate policies. In particular, it examines energy and climate policy performance and associated risks, as well as public acceptance and portfolio analysis in climate policy, and presents methods for evaluating the costs and benefits of flexible policy implementation as well as new framings for business and market actors. In turn, it discusses the development of alternative policy pathways and the identification of optimal switching points, drawing on concrete examples to do so. Lastly, it discusses climate change mitigation policies’ implications for the agricultural, food, building, transportation, service and manufacturing sectors.

The Oxford Handbook of Computational Economics and Finance provides a survey of both the foundations of and recent advances in the frontiers of analysis and action. It is both historically and interdisciplinarily rich and also tightly connected to the rise of digital society. It begins with the conventional view of computational economics, including recent algorithmic development in computing rational expectations, volatility, and general equilibrium. It then moves from traditional computing in economics and finance to recent developments in natural computing, including applications of nature-inspired intelligence, genetic programming, swarm intelligence, and fuzzy logic. Also examined are recent developments of network and agent-based computing in economics. How these approaches are applied is examined in chapters on such subjects as trading robots and automated markets. The last part deals with the epistemology of simulation in its trinity form with the integration of simulation, computation, and dynamics. Distinctive is the focus on natural computationalism and the examination of the implications of intelligent machines for the future of computational economics and finance. Not merely individual robots, but whole integrated systems are extending their "immigration" to the world of Homo sapiens, or symbiogenesis.

The recent increase of inflation globally has led to a renewed interest in understanding the link between inflation and wages. In Uruguay, the presence of centralized wage bargaining and indexation practices raises the question as to what extent wage growth dynamics can make the response of inflation to shocks more persistent. We use a medium-scale DSGE model which incorporates indexation in the wage setting equation to analyze the interactions between wage setting behavior and other macroeconomic variables, as well as the role of monetary policy. The analysis suggests that wage indexation increases the persistence of the response of inflation to domestic and foreign shocks, it also affects the monetary policy transmission mechanism and the severity of the trade-offs faced by the central bank.

United States monetary policy has traditionally been modeled under the assumption that the domestic economy is immune to international factors and exogenous shocks. Such an assumption is increasingly unrealistic in the age of integrated capital markets, tightened links between national economies, and reduced trading costs. International Dimensions of Monetary Policy brings together fresh research to address the repercussions of the continuing evolution toward globalization for the conduct of monetary policy. In this comprehensive book, the authors examine the real and potential effects of increased openness and exposure to international economic dynamics from a variety of perspectives. Their findings reveal that central banks continue to influence decisively domestic economic outcomes—even inflation—suggesting that international factors may have a limited role in national performance. International Dimensions of Monetary Policy will lead the way in analyzing monetary policy measures in complex economies.