Sectoral Co-Movement, Monetary-Policy Shock, and Input-Output Structure

The co-movement of output across the sector producing non- durables (that is, non-durable goods and services) and the sector producing durables is well-established in the monetary business-cycle literature. However, standard sticky-price models that incorporate sectoral heterogeneity in price stickiness (that is, sticky non-durables prices and flexible durables prices) cannot generate this feature. We argue that an input-output structure provides a solution to this problem. Here we develop a two-sector model with an input-output structure, which is calibrated to the U.S. economy. In the model, each sector's output affects those of the others by acting as an intermediate input This connection between the sectors provides a channel through which sectoral co-movement is induced.Monetary Policy, Input-Output Matrix, Durables, Non-durables

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)

Productivity and Fiscal Policy in Japan: Short Term Forecasts from the Standard Growth Model

Japan is facing severe fiscal challenges. The aging of the population is projected to raise total pension and health expenditures. There is already a huge debt to output ratio which is the highest in advanced economies. In this paper we ask `if the consumption tax rate is raised to 15%, will there be a primary surplus, and what factors are important in achieving a fiscal balance?' Using the standard growth model 's simulations as `modern back-of-the-envelope' calculations, the quantitative findings indicate the critical need to contain government expenditures. Even an annual growth rate of 3% in GDP over the next 20 years may be insufficient to turn consistent primary surpluses, combined with a new consumption tax rate of 15%, unless prudent expenditure policies are implemented.Primary Balance, Fiscal Policy, Productivity, Growth Theory

Inventory-Theoretic Model of Money Demand, Multiple Goods, and Price Dynamics

Despite the theoretical prediction based on sticky-price models, it is empirically suggested that the tie between the frequencies of price adjustment across goods and the relative price responses of goods (price index of specific goods over non-durable aggregate price index) to a monetary policy change is limited.We offer an alternative view of the price dynamics of goods. We develop a multi-sector extension of an inventory-theoretic model of money demand (segmented market model). In our model, the diversity in the characteristics of goods, that is, durability, luxuriousness and cash intensity (the portion of the payment that is paid by cash in the purchase of goods), yields the dispersion of relative prices responses to a monetary policy shock, across goods. The model implies that the relative prices of durables, luxuries and less cash-intensive goods tend to decline in a monetary contraction. We test the empirical plausibility of our model, using two approaches: a measure of monetary policy shock developed by Romer and Romer (2004), and a factor-augmented VAR used in Bernanke et al. (2005). In both econometric methodologies, we find that the data are consistent with our model, in terms of durability and luxuriousness.Baumol-Tobin model, Durable; Luxury, Credit goods, Monetary policy

Accounting for the Decline in the Velocity of Money in the Japanese Economy

A notable feature of the Japanese economy following the banking crisis of the late 1990s is the drastic decline in the velocity of money and the consequent decline in the price level. Based on the inventory model of money demand a la Alvarez, Atkeson, and Edmond (2009), we explore how macroeconomic shocks affect the velocity. Households in the model are subject to a multiple-period cash-in-advance constraint in which the portion of the payment in cash, which we call the liquidity requirement, varies according to the credit service supply in the economy. Extracting various shocks underlying the velocity variations from 1990 to 2010, we find that an increase in the liquidity requirement is the key driver of the decline in velocity. Particularly important is the channel stemming from householdsf expectations about the future liquidity requirement. During the Japanese banking crisis and the global financial crisis, credit service is disrupted and households expect the disruption to last long. Since they demand additional money for a higher liquidity requirement for current and future transactions, the velocity and the price level decrease, even though the growth rate of money stock then exceeds that of consumption.Velocity of Money, Liquidity Requirement, Financial Crises

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

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?

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

Global Liquidity Trap: A Simple Analytical Investigation

How should monetary policy cooperation be designed when more than one country simultaneously faces zero lower bounds on nominal interest rates? To answer this question, we examine monetary policy cooperation with both optimal discretion and commitment policies in a two- country model. We reach the following conclusions. Under discretion, monetary policy cooperation is characterized by the intertemporal elasticity of substitution (IES), a key parameter measuring international spillovers, and no history dependency. On the other hand, under commitment, monetary policy features history dependence with international spillover effects.Optimal Monetary Policy Cooperation, Zero Lower Bound