The Adequacy of Retirement Savings: Subjective Survey Reports by Retired Canadians

We examine retired Canadians’ subjective survey reports of satisfaction with finances,and with life, relative to the period before retirement.retirement, savings, subjective survey reports

Do the Rich Save More in Canada?

This paper is an attempt to answer the long standing question of whether households with higher lifetime income save a larger fraction of their income. The major difficulty in empirically assessing the relationship between lifetime incomes and saving rates is to construct a credible proxy for lifetime income. The Canadian Family Expenditure Survey (FAMEX) provides us with both unusually good data on savings rates and potential instruments with which we can construct reliable lifetime income proxies. Our empirical analysis suggests that the estimated relationship between saving rates and lifetime incomes is sensitive to the instrument used to proxy lifetime income. Nevertheless, our preferred estimates indicate that, except for poorest households (who simply do not save), saving rates do not differ substantially across lifetime income groups.saving rates, lifetime income, permanent income

The Adequacy of Retirement Savings: Subjective Survey Reports by Retired Canadians

We examine retired Canadians’ subjective survey reports of satisfaction with finances,and with life, relative to the period before retirement.retirement, savings, subjective survey reports

New evidence on taxes and portfolio choice

Identifying the effect of differential taxation on portfolio allocation requires exogenous variation in marginal tax rates. Marginal tax rates vary with income, but income surely affects portfolio choice directly. In systems of individual taxation - like Canada's - couples with the same household income can face different effective tax rates on capital income when labor income is distributed differently within households. Using this source of variation we find statistically significant but economically modest responses to taxation. In a 'placebo' test, using data from the U.S. (which has joint taxation), we find no effect of the intra-household distribution of labor income on portfolios.Household portfolio choice, taxes

New Evidence on Taxes and Portfolio Choice

Identifying the effect of differential taxation on portfolio allocation requires exogenous variation in marginal tax rates. Marginal tax rates vary with income, but income surely affects portfolio choice directly. In systems of individual taxation – like Canada’s – couples with the same household income can face different effective tax rates on capital income when labor income is distributed differently within households. Using this source of variation we find statistically significant but economically modest responses to taxation. In a “placebo” test, using data from the U.S. (which has joint taxation), we find no effect of the intra-household distribution of labor income on portfolios.Household portfolio choice, taxes

New Evidence on Taxes and Portfolio Choice

Identifying the effect of differential taxation on portfolio allocation requires exogenous variation in marginal tax rates. Marginal tax rates vary with income, but income surely affects portfolio choice directly. In systems of individual taxation – like Canada’s – couples with the same household income can face different effective tax rates on capital income when labor income is distributed differently within households. Using this source of variation we find statistically significant but economically modest responses to taxation. In a “placebo” test, using data from the U.S. (which has joint taxation), we find no effect of the intra-household distribution of labor income on portfolios.Household Portfolio Choice, Tax

Do the Rich Save More in Canada?

This paper is an attempt to answer the long standing question of whether more affluent households save a larger fraction of their income. The major difficulty in empirically assessing the relationship between incomes and saving rates is to construct a credible proxy for long-run income - purged of transitory fluctuations and measurement error. The Canadian Family Expenditure Survey provides us with both unusually good data on savings rates and potential predictors with which we can construct reliable long-run income proxies. Our empirical analysis suggests that the estimated relationship between saving rates and long-run incomes is sensitive to the predictor used to proxy long-run income. Nevertheless, our preferred estimates indicate that, except for poorest households (who simply do not save), saving rates do not differ substantially across predicted long-run income groups

Euler Equation Estimation on Micro Data

First order conditions from the dynamic optimization problems of consumers and firms are important tools in empirical macroeconomics. When estimated on micro-data these equations are typically linearized so standard IV or GMM methods can be employed to deal with the measurement error that is endemic to survey data. However, it has recently been argued that the approximation bias induced by linearization may be worse than the problems that linearization is intended to solve. This paper explores this issue in the context of consumption Euler equations. These equations form the basis of estimates of key macroeconomic parameters: the elasticity of inter-temporal substitution (EIS) and relative prudence. We numerically solve and simulate 6 different life-cycle models, and then use the simulated data as the basis for a series of Monte Carlo experiments in which we consider the validity and relevance of conventional instruments, the consequences of different data sampling schemes, and the effectiveness of alternative estimation strategies. The first-order Euler equation leads to biased estimates of the EIS, but that bias is perhaps not too large when there is a sufficient time dimension to the data, and sufficient variation in interest rates. A sufficient time dimension can only realistically be achieved with a synthetic cohort. Estimates are unlikely to be very precise. Bias will be worse the more impatient agents are. The second order Euler equation suffers from a weak instrument problem and offers no advantage over the first-order approximation

Do the Rich Save More? Evidence from Canada

This paper provides new evidence on the long-standing question of whether more affluent households save a larger fraction of their income. The major difficulty in empirically assessing the relationship between incomes and saving rates is to construct a credible proxy for long-run income-purged of transitory fluctuations and measurement error. The Canadian Family Expenditure Survey provides us with both unusually good data on savings rates and potential predictors with which we can construct reliable long-run income proxies. Our empirical analysis suggests that the estimated relationship between saving rates and long-run incomes is sensitive to the predictor used to proxy long-run income. Nevertheless, our preferred estimates indicate that, except for poorest households (who simply do not save), saving rates do not differ substantially across predicted long-run income groups

Euler Equation Estimation on Micro Data

Consumption Euler equations are important tools in empirical macroeconomics. When estimated on micro data, they are typically linearized, so standard IV or GMM methods can be employed to deal with the measurement error that is endemic to survey data. However, linearization, in turn, may induce serious approximation bias. We numerically solve and simulate six different life-cycle models, and then use the simulated data as the basis for a series of Monte Carlo experiments in which we evaluate the performance of linearized Euler equation estimation. We sample from the simulated data in ways that mimic realistic data structures. The linearized Euler equation leads to biased estimates of the EIS, but that bias is modest when there is a sufficient time dimension to the data, and sufficient variation in interest rates. However, a sufficient time dimension can only realistically be achieved with a synthetic cohort. Estimates from synthetic cohorts of sufficient length, while often exhibiting small mean bias, are quite imprecise. We also show that in all data structures, estimates are less precise in impatient models