Dynamic Consumption Behavior: Evidence from Japanese Household Panel Data

1. Dynamic Consumption Behavior:Evidence from Japanese Household Panel Data Yukinobu Kitamura Hitotsubashi University Institute of Economic Research August 5, 2005

2. 1. Plan of my talk • Family Income and Expenditure Survey 2001-2002 • Dynamic Consumption Behavior • Durability of Consumption • Liqudity Constraints

3. 2 Durability of Consumption Hayashi (1997, chapter5) shows the relationship between expenditure xijt and consumption cij. Consumption is a flow from accumulated expenditure in the past. (1) where i is the agent, j is consumption good or item, t is time, M is a certain time dimension. However, expenditures on individual goods xijt are ex- pressed as the flow of current and future consumption cijt+nsuch that, (2)

4. 3 Liquidity Constraints • Households with debt. Although these households may not borrow as much as they wish, they may not have had faced with liquidity constraints in the past. • Households without debt and seemingly without liquidity constraints. They can borrow as much as they like but in fact they do not borrow. • Households without debt and seemingly with liquidity constraints. They may face with liquidity constraints at the moment. Distinction between 1. and 2.3. can be made according to debt information at hand. Distinction between 2. and 3. requires some assumptions to draw lines according to annual income and net savings.

5. 4 Empirical Model Consumption function in empirical analysis is defined such that, (3) where con=log of real consumption, disp=log of real disposable income, vt=monthly dummy. The expenditure model is to convert consumption con into expenditure x. (4)

6. Empirical Results AR(1) regression, coefficients of food, housing, traffic and telecommunication, recreation exceed 0.5. There seem to exist habit formation or sticky consumption. On the other hand, coefficients of furniture, clothes, medical expenditure, education are less than 0.2, habit formation does not exist for these items. AR(4) regression indicates smaller but stable coefficients over four lags. Differences in coefficients across goods are smaller and coefficients do not drop sharply after some lags. It implies that non durable consumption shows some durability.

7. Autoregression Model

8. Expenditure Behavior by Items (1) consumption has durability. This is consistent with the fact that coefficients of own lag are negative. (2) coefficients of disposable income are significant in many cases. Consumers seem to face the disposable income constraints.

9. Expenditure Behavior by ItemsPanel A: Maximum Likelihood Method

10. Expenditure Behavior by ItemsPanel B: GMM (one-step)

11. Liquidity Constraints (1) Households with debt (debtinc=1,debtass=1) and households without debt and with low annual income and net savings (debtinc=2,debtass=2) face the disposable income constraint. (2) For those households, parameter values, statistical significance and implications remain, more or less, the same. (3) Households without debt and with high annual income and net savings face the disposable income constraint in MLE.

12. Expenditure Behavior by Annual IncomePanel A: Maximum Likelihood Method

13. Expenditure Behavior by Annual IncomePanel B: GMM (one-step)

14. Expenditure Behavior by Net SavingsPanel A: Maximum Likelihood Method

15. Expenditure Behavior by Net SavingsPanel B: GMM (one-step)

16. Policy Implications Sensitivity of expenditure to disposable income turns out to be significant for most cases. This result implies, at least in the short run, policy variables such as taxes and social security contribution could affect consumption. Provided the indebted households may face liquidity constraints, such policies as income tax reduction against the amount of mortgage, interest payment deduction and property tax reduction against the amount of mortgage might be used to relax such constraints.