The Cost of Omitting Credit Channel in DSGE Model

This paper discusses whether the parameter invariance problem as in Lucas (1976) applies to the standard new Keynesian DSGE model when the credit channel is left out from its structure. We simulate a financial crisis in which the credit market friction is positive and we shift the monetary policy to stimulate the economy. We evaluate the cost of omitting the credit channel by examining the changes of the estimated model parameters and by using policy outcomes. We find that although some parameters incur nontrivial changes after the policy shift, overall these parameter changes have little impact on the conduct of monetary policy

How Costly is a Misspecified Credit Channel DSGE Model in Monetary Policymaking?

This paper examines whether misspecification in credit market friction could be costly in the context of monetary policymaking. Using two widely known dynamic stochastic general equilibrium (DSGE) models, we simulate a hypothetical financial crisis and examine how each model performs when the misspecification occurs in the credit channel. We demonstrate that monetary policy suggested by misspecified models tends to destabilize the economy during crisis, even though one of the two models does reasonably well in estimating policy-invariant model parameters. We also show that the opportunity cost of using a misspecified model is high relative to the outcome achieved under a correctly specified model, particularly when public financial intermediation is available in the correctly specified model. Introducing labor-related variables in either the monetary policy rule or stabilization objectives has the potential of improving policy outcomes in the misspecified credit channel model

Goods-Time Elasticity of Substitution in Health Production

We examine how inputs for health production, in particular, medical care and health-enhancing time, are combined to improve health. The estimated elasticity of substitution from a constant elasticity of substitution production function is significantly less than one for the working-age population, rejecting the unit elasticity of substitution used in previous studies

Health Capital Investment and Time Spent on Health Related Activities

One key component in the health capital investment model in (Grossman, M. Journal of Political Economy, 80: 223–255, 1972) is time spent on improving health. However, few empirical studies have examined how time spent on health investment is determined. In this paper, we fill this void in the literature by investigating how people allocate their time for different types of health-related activities in response to economic variables. Using the American Time Use Survey, we distinguish health-enhancing and health-deteriorating leisure activities, with the rationale that these activities may respond differently to socioeconomic environment. We find that health-enhancing and health-deteriorating time respond to economic variables in opposite directions. Specifically, a higher wage rate leads to a reduction in health-deteriorating activities but an increase in health-enhancing activities, particularly those with an investment nature. This finding holds for most subsamples we examine. Our result implies substantial substitution within nonmarket time

Intertemporal Elasticity of Substitution with Leisure Margin

This paper investigates whether leisure time definitions matter in the estimation of the intertemporal elasticity of substitution of consumption (IES) by using a utility specification that allows interaction between consumption and leisure time. We find that the IES estimated using a narrowly defined leisure measure that excludes quasi-leisure activities is larger than that estimated using nonmarket time. The discrepancy is largely driven by the substitution of consumption and several leisure components over the lifecycle. This finding is robust in alternative specifications and holds well for subsamples of higher socioeconomic status. Our results demonstrate the inseperable nature of consumption and time allocation

Health Care Use, Out-of-Pocket Expenditure, and Macroeconomic Conditions During the Great Recession

We study how macroeconomic conditions during the Great Recession affected health care utilization and out-of-pocket expenditures of American households. We use two data sources: the Consumer Expenditure (CE) Survey and the Survey of Income and Program Participation (SIPP); each has its own advantages. The CE contains quarterly frequency variables, and the SIPP provides panel data at the individual level. Consistent evidence across the two datasets shows that utilization of routine medical care was counter-cyclical, whereas hospital care was pro-cyclical during the Great Recession. When we examine the pre-recession period, the relationship between macroeconomic conditions and health care use was either non-existent or in opposite directions, suggesting that this relationship may have been unique to the Great Recession

Intertemporal Elasticity of Substitution and Risk Aversion: Are They Related Empirically?

This article examines the relationship between two types of preference: preference of intertemporal choices and preference towards risk. In the simplest form of the constant relative risk aversion utility function, the intertemporal elasticity of substitution (IES) and risk aversion have an inverse relationship. However, there is no empirical evidence that suggests this inverse relationship holds. We examine the relationship between risk aversion and IES using household consumption data from the Consumer Expenditure Survey during 1996–2010. Multiple risk domains are selected to represent risk preference, and for each domain, we consider some households to be more risk averse than others. We separately estimate IES for the more risk-averse and less risk-averse households. We find that the IES estimates are generally smaller for the more risk-averse households than for the less risk-averse households and that the difference is statistically significant in the majority of the financial domains. This finding supports the inverse relationship between the two parameters, although considerable heterogeneity is found across domains

Empirical Identification of Factor Models

In the conventional factor-augmented vector autoregression (FAVAR), the extracted factors cannot be used in structural analysis because the factors do not retain a clear economic interpretation. This paper proposes a new method to identify macroeconomic factors, which is associated with better economic interpretations. Using an empirical-based search algorithm, we select variables that are individually caused by a single factor. These variables are then used to impose restrictions on the factor loading matrix, and we obtain an economic interpretation for each factor. We apply our method to time-series data in the USA and further conduct a monetary policy analysis. Our method yields stronger responses of price variables and muted responses of output variables than what the literature has found

Examining Industrial Interdependence Between Japan and South Korea: A FAVAR Approach

This paper investigates the economic relationship between Japan and South Korea by incorporating disaggregated output measures. Using a factor-augmented vector autoregression (FAVAR) model, we conduct several experiments to test the nature of the interdependence, both in the aggregate and by sector. We find that South Korean output shocks affect the Japanese economy in a significant manner, whereas Japanese output shocks have a limited effect on South Korea. By further examining the transmission mechanism of sectoral output shocks and comparing them with the direction of sectoral trade, we find evidence of cross-border production sharing, which explains the asymmetric results seen in the aggregate output