Accounting for Oil Price Variation and Weakening Impact of the Oil Crisis

Recent empirical studies reveal that the oil price-output relationship is weakening in the US. Oil price-output correlation is less negative, and output reduction in response to oil price rise is more moderate after mid 1980s. In contrast to the conventional view that there have been changes in the economic structures that have made output less responsive to oil price shocks, we show that what have changed are the sources of oil price variation. We develop a DSGE model where oil price and US output are endogenously determined by the exogenous movements of US TFP and the oil supply. Having no changes in economic structure, our model yields dynamics of the oil price and output that show a weakening in the oil price-output relationship. There are changes in the way that the exogenous variables evolve. Two changes are important. First, oil supply variation has become moderate in recent years. Second, oil supply shortage is no longer followed by a large decline in TFP. We show that less volatile oil supply variation results in less negative oil price- output correlations, and a smaller TFP decline during oil supply shortfall implies a smaller output decline during oil price increases.Oil Price Accounting, DSGE Model, Total Factor Productivity (TFP)

Dynamic Aspects of Productivity Spillovers, Terms of Trade and The "Home Market Effects"

In this paper, we first set up a model that incorporates firm dynamics into the Global Economy Model (henceforth, GEM) developed by the IMF Research Department. Then, we show how the economic variables respond to the shocks that shift the production frontier outwards, namely productivity gains in manufacturing, efficiency gains in creating new firms, and an increase in the labor force. Contrary to the model used in previous research on the same topic by Corsetti, Martin and Pesenti (2007, henceforth, CMP), our model contains rich and realistic dynamics embedded in the GEM such as a time-to-build constraint for firm dynamics, and nominal price and wage stickiness. We show that (1) the analytical results of CMP are dependent on the elasticity of substitution between domestic and foreign goods, (2) short-run responses could be different from those in CMP because of the existence of price and wage stickiness, and (3) persistence of shocks also alters the direction of responses via the wealth effect. These results suggest that it is of great importance for policy institutions to acknowledge the dynamic aspects of productivity spillovers by simulating a model with richer dynamics like the GEM.New Keynesian Model, Monetary Policy, Transparency, Productivity Growth, Learning

Do banking shocks matter for the U.S. economy?

The quantitative significance of shocks to the financial intermediary (FI) has not received much attention up to now. We estimate a DSGE model with what we describe as chained credit contracts, using Bayesian technique. In the model, credit-constrained FIs intermediate funds from investors to credit-constrained entrepreneurs through two types of credit contract. We find that the shocks to the FIs' net worth play an important role in the investment dynamics, accounting for 17 percent of its variations. In particular, in the Great Recession, they are the key determinants of the investment declines, accounting for 36 percent of the variations.Price levels ; Financial markets ; Monetary policy

The Effects of Oil Price Changes on the Industry-Level Production and Prices in the U.S. and Japan.

In this paper, we decompose oil price changes into their component parts following Kilian (2009) and estimate the dynamic effects of each component on industry-level production and prices in the U.S. and Japan using identified VAR models. The way oil price changes affect each industry depends on what kind of underlying shock drives oil price changes as well as on industry characteristics. Unexpected disruptions of oil supply act mainly as negative supply shocks for oil- intensive industries and act mainly as negative demand shocks for less oil- intensive industries. For most industries in the U.S., shocks to the global demand for all industrial commodities act mainly as positive demand shocks, and demand shocks that are specific to the global oil market act mainly as negative supply shocks. In Japan, the oil-specific demand shocks as well as the global demand shocks act mainly as positive demand shocks for many industries.Oil price, Identified VAR, Industry-level data, Japan

Do Banking Shocks Matter for the U.S. Economy?

Recent financial turmoil and existing empirical evidence suggest that adverse shocks to the financial intermediary (FI) sector cause substantial economic downturns. The quantitative significance of these shocks to the U.S. business cycle, however, has not received much attention up to now. To determine the importance of these shocks, we estimate a sticky-price dynamic stochastic general equilibrium model with what we describe as chained credit contracts. In this model, credit- constrained FIs intermediate funds from investors to credit-constrained entrepreneurs through two types of credit contract. Using Bayesian estimation, we extract the shocks to the FIs' net worth. The shocks are cyclical, typically negative during a recession, such as the one that began in 2007. Their effects are persistent, lowering economic activity for several quarters after the recessionary trough. According to the variance decomposition, shocks to the FI sector are a main source of the spread variations, explaining 39% of the FIs' borrowing spread and 23% of the entrepreneurial borrowing spread. At the same time, these shocks play an important but not dominant role for investment, accounting for 15% of its variations.Monetary Policy, Financial Accelerators, Financial Intermediaries, Chained Credit Contracts

Chained Credit Contracts and Financial Accelerators

Based on the financial accelerator model of Bernanke et al. (1999), we develop a dynamic general equilibrium model for a chain of credit contracts in which financial intermediaries (hereafter FIs) as well as entrepreneurs are subject to credit constraints. Financial intermediation takes place through chained-credit contracts, lending from the market to FIs, and from FIs to entrepreneurs. Calibrated to U.S. data, our model shows that the chained credit contracts enhance the financial accelerator effect, depending on the net worth distribution across sectors: (1) our model reinforces the effects of the net worth shock and the technology shock, compared with a model that omits the FIs' credit friction a la Bernanke et al. (1999); (2) the sectoral shock to FIs has a greater impact than the sectoral shock to entrepreneurs; and (3) the redistribution of net worth from entrepreneurs to FIs reduces the amplification of the technology shock. The key features of the results arise from the asymmetry of the two borrowing sectors: smaller net worth and larger bankruptcy costs of FIs relative to those of entrepreneurs.Chain of Credit Contracts, Net Worth of Financial Intermediaries, Cross-sectional Net Worth Distribution, Financial Accelerator effect

Emerging economies' supply shocks and Japan's price deflation: International transmissions in a three-country DSGE model

This paper examines the international transmission effects that a positive supply shock in emerging economies may have on inflation in developed economies. We construct a dynamic stochastic general equilibrium (DSGE) model for three countries and analyze the impact of a supply shock in an emerging economy, the People's Republic of China (PRC), on inflation rates in two developed economies, the United States (US) and Japan. We demonstrate that the assumed asymmetric trade structures among the three countries and the PRC&'s choice of exchange rate regime influence the international transmission of a supply shock in the PRC. Specifically, Japan is under a greater deflationary pressure than the US because of its vertical trade specialization vis-à-vis the PRC and the PRC's USdollar- pegged regime. This outcome suggests that, even though Japan and the US may face common positive supply shocks from emerging economies, the deflationary impact of the shock is greater for Japan

The Effects of Oil Price Changes on the Industry-Level Production and Prices in the U.S. and Japan

In this paper, we decompose oil price changes into their component parts following Kilian (2009) and estimate the dynamic effects of each component on industry-level production and prices in the U.S. and Japan using identified VAR models. The way oil price changes affect each industry depends on what kind of underlying shock drives oil price changes as well as on industry characteristics. Unexpected disruptions of oil supply act mainly as negative supply shocks for oil-intensive industries and act mainly as negative demand shocks for less oil-intensive industries. For most industries in the U.S., shocks to the global demand for all industrial commodities act mainly as positive demand shocks, and demand shocks that are specific to the global oil market act mainly as negative supply shocks. In Japan, the oil-specific demand shocks as well as the global demand shocks act mainly as positive demand shocks for many industries.

Capital Injection, Monetary Policy, and Financial Accelerators

We evaluate the implications of spread-adjusted Taylor rules and capital injection policies in response to adverse shocks to the economy, using a variant of the financial accelerator model. Our model comprises the two credit-constrained sectors that raise external finance under the credit market imperfection: financial intermediaries (FIs) and entrepreneurs. Using a model calibrated to the United States, we find that a spread-adjusted Taylor rule mitigates (amplifies) the impact of adverse shocks when the shock is accompanied by a widening (shrinking) of the corresponding spread. We formalize a capital injection policy as a positive (negative) amount of injection to either of the two sectors in response to an adverse shock (a favorable shock). In contrast to a spread-adjusted Taylor rule, a positive injection boosts the economy regardless of the type of shock. The capital injection to the FIs has a greater impact on the economy compared with that to the entrepreneurs. Although the welfare implication of these policies varies depending on the source of economic downturn, our result shows more support for adopting the spread-adjusted Taylor rules than capital injections.Financial Accelerators, Spread-adjusted Taylor rule, Capital Injection

Japanese Monetary Policy during the Collapse of the Bubble Economy: A View of Policymaking under Uncertainty

Focusing on policymaking under uncertainty, we analyze the monetary policy of the Bank of Japan (BOJ) in the early 1990s, when the bubble economy collapsed. Conducting stochastic simulations with a large- scale macroeconomic model of the Japanese economy, we find that the BOJf s monetary policy at that time was essentially optimal under uncertainty about the policy multiplier. On the other hand, we also find that the BOJ's policy was not optimal under uncertainty about inflation dynamics, and that a more aggressive policy response than actually implemented would have been needed. Thus, optimal monetary policy differs greatly depending upon which type of uncertainty is emphasized. Taking into account the fact that overcoming deflation became an important issue from the latter 1990s, it is possible to argue that during the early 1990s the BOJ should have placed greater emphasis on uncertainty about inflation dynamics and implemented a more aggressive monetary policy. The result from a counterfactual simulation indicates that the inflation rate and the real growth rate would have been higher to some extent if the BOJ had implemented a more accommodative policy during the early 1990s. However, the simulation result also suggests that the effects would have been limited, and that an accommodative monetary policy itself would not have changed the overall image of the prolonged stagnation of the Japanese economy during the 1990s.Collapse of the bubble economy; Monetary policy; Uncertainty