Working Papers
2011
September 1, 2011
Incorporating Financial Sector Risk Into Monetary Policy Models: Application to Chile
Description: This paper builds a model of financial sector vulnerability and integrates it into a macroeconomic framework, typically used for monetary policy analysis. The main question to be answered with the integrated model is whether or not the central bank should include explicitly the financial stability indicator in its monetary policy (interest rate) reaction function. It is found in general, that including distance-to-default (dtd) of the banking system in the central bank reaction function reduces both inflation and output volatility. Moreover, the results are robust to different model calibrations: whenever exchange-rate pass-through is higher; financial vulnerability has a larger impact on the exchange rate, as well as on GDP (or the reverse, there is more effect of GDP on bank's equity - i.e., what we call endogeneity), it is more efficient to include dtd in the reaction function.
September 1, 2011
Understanding Chinese Bond Yields and their Role in Monetary Policy
Description: China's financial prices are informative enough for the PBC to introduce a monetary policy framework centered around interest rates. While bond yields are not fully efficient?reflecting regulation, liquidity, and segmentation?we find they contain considerable information about the state of the economy as well as evidence of an emerging transmission channel: changes in PBC rates influence the structure of Treasury, financial, and corporate bond yield curves, which are then associated with changes in growth and inflation. Coporate spreads are also a leading indicator of growth and inflation. While further liberalization will strengthen both efficiency and transmission, several necessary elements to move towards indirect monetary policy are already in place.
September 1, 2011
Incorporating Financial Stability in Inflation Targeting Frameworks
Description: The global financial crisis has exposed the limitations of a conventional inflation targeting (IT) framework in insulating an economy from shocks, and demonstrated that its rigid application may aggravate the effect of shocks on output and inflation. Accordingly, we investigate possible refinements to the IT framework by incorporating financial stability considerations. We propose a small open economy DSGE model, calibrated for Korea during the period of 2003 - 07, with real and financial frictions. The findings indicate that incorporating financial stability considerations can help smooth business cycle fluctuations more effectively than a conventional IT framework.
September 1, 2011
Spatial Spillovers in Emerging Market Spreads
Description: We use novel spatial econometrics techniques to explore spillovers in the sovereign bond market for 24 emerging economies during 1995-2010. The paper extends the previous literature focusing on spillover effects from advanced to emerging economies by analyzing transmission of shocks across emerging markets. After controlling for the impact of global factors, we find strong evidence of spillovers from both sovereign spreads and macroeconomic fundamentals in neighboring emerging economies. In addition to the geographical proximity, the channels of spatial transmission include trade and financial linkages. The results of the paper highlight the importance of accounting not only for spillovers from advanced economies to emerging markets, but also across emerging markets when analyzing sovereign spreads.
September 1, 2011
A Debt Intolerance Framework Applied to Central America, Panama and the Dominican Republic
Description: This paper presents an alternative method for calculating debt targets using the debt intolerance literature of Reinhart, Rogoff, and Savastano (2003) and Reinhart and Rogoff (2009). The methodology presented improves on the previous papers by using a dynamic panel approach, correcting for endogeneity in the regressors and basing the calculation of debt targets on credit ratings, a more objective criteria. In addition the study uses a new data base on general government debt covering 120 countries over 21 years. The paper suggests a ranking of Central America, Panama, and Dominican Republic (CAPDR) countries in terms of debt intolerance - an index which could be used to further investigate the main components of debt intolerance.
September 1, 2011
Bayesian Dynamic Factor Analysis of a Simple Monetary DSGE Model
Description: When estimating DSGE models, the number of observable economic variables is usually kept small, and it is conveniently assumed that DSGE model variables are perfectly measured by a single data series. Building upon Boivin and Giannoni (2006), we relax these two assumptions and estimate a fairly simple monetary DSGE model on a richer data set. Using post-1983 U.S.data on real output, inflation, nominal interest rates, measures of inverse money velocity, and a large panel of informational series, we compare the data-rich DSGE model with the regular - few observables, perfect measurement - DSGE model in terms of deep parameter estimates, propagation of monetary policy and technology shocks and sources of business cycle fluctuations. We document that the data-rich DSGE model generates a higher implied duration of Calvo price contracts and a lower slope of the New Keynesian Phillips curve. To reduce the computational costs of the likelihood-based estimation, we employed a novel speedup as in Jungbacker and Koopman (2008) and achieved the time savings of 60 percent.
September 1, 2011
Efficiency-Adjusted Public Capital and Growth
Description: This paper constructs an efficiency-adjusted public capital stock series and re-examines the public capital and growth relationship for 52 developing countries. The results show that public capital is a significant contributor to economic growth. Although the estimated coefficient for the income share of public capital is larger in middle- than in low-income countries, the opposite is true for the marginal product of public capital. The quality of public investment, as measured by variables capturing the adequacy of project selection and implementation, are statistically significant in explaining variations in economic growth, a result mainly driven by low-income countries.
September 1, 2011
Data-Rich DSGE and Dynamic Factor Models
Description: Dynamic factor models and dynamic stochastic general equilibrium (DSGE) models are widely used for empirical research in macroeconomics. The empirical factor literature argues that the co-movement of large panels of macroeconomic and financial data can be captured by relatively few common unobserved factors. Similarly, the dynamics in DSGE models are often governed by a handful of state variables and exogenous processes such as preference and/or technology shocks. Boivin and Giannoni(2006) combine a DSGE and a factor model into a data-rich DSGE model, in which DSGE states are factors and factor dynamics are subject to DSGE model implied restrictions. We compare a data-richDSGE model with a standard New Keynesian core to an empirical dynamic factor model by estimating both on a rich panel of U.S. macroeconomic and financial data compiled by Stock and Watson (2008).We find that the spaces spanned by the empirical factors and by the data-rich DSGE model states are very close. This proximity allows us to propagate monetary policy and technology innovations in an otherwise non-structural dynamic factor model to obtain predictions for many more series than just a handful of traditional macro variables, including measures of real activity, price indices, labor market indicators, interest rate spreads, money and credit stocks, and exchange rates.
September 1, 2011
What Fuels the Boom Drives the Bust: Regulation and the Mortgage Crisis
Description: We show that the lightly regulated non-bank mortgage originators contributed disproportionately to the recent boom-bust housing cycle. Using comprehensive data on mortgage originations, which we aggregate at the county level, we first establish that the market share of these independent non-bank lenders increased in virtually all US counties during the boom. We then exploit the heterogeneity in the market share of independent lenders across counties as of 2005 and show that higher market participation by these lenders is associated with increased foreclosure filing rates at the onset of the housing downturn. We carefully control for counties' economic, demographic, and housing market characteristics using both parametric and semi-nonparametric methods. We show that this relation between the pre-crisis market share of independents and the rise in foreclosure is more pronounced in less regulated states. The macroeconomic consequences of our findings are significant: we show that the market share of these lenders as of 2005 is also a strong predictor of the severity of the housing downturn and subsequent rise in unemployment. Overall our findings lend support to the view that more stringent regulation could have averted some of the volatility on the housing market during the recent boom-bust episode.
September 1, 2011
Assessing Systemic Trade Interconnectedness: An Empirical Approach
Description: The paper focuses on systemically important jurisdictions in the global trade network, complementing recent IMF work on systemically important financial sectors. Using the IMF's Direction of Trade Statistics (DOTS) database and network analysis, the paper develops a framework for ranking jurisdictions based on trade size and trade interconnectedness indicators using data for 2000 and 2010. The results show a near perfect overlap between the top 25 systemically important trade and financial jurisdictions, suggesting that these ought to be the focus of risk-based surveillance on cross-border spillovers and contagion. In addition, a number of extensions to the approach are developed that can provide a better understanding of trade dynamics at the bilateral, regional, and global levels.