131 research outputs found

    Do Disaster Expectations Explain Household Portfolios?

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    It has been argued that rare economic disasters can explain most asset pricing puzzles. If this is the case, perceived risk associated with a disaster in stock markets should be revealed in household portfolios. That is, the framework that solves these pricing puzzles should also generate quantities that are consistent with the observed ones. This paper estimates the perceived risk of disasters (both probability and expected size) that is consistent with observed portfolios and consumption growth between 1983 and 2004 in the United States. I find that the portfolio choice of households that have less than a college degree can be partially explained by expectations of stock markets disasters only if one allows for a large probability of labor income loss at the same time. Such disaster expectations however, are not revealed in the portfolios of educated and wealthier households; simple per-period participation costs to stock market coupled with preference heterogeneity explain their participation and investment patterns.

    Entry Costs and Stock Market Participation Over the Life Cycle

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    Several explanations for the observed limited stock market participation have been offered in the literature. One of the most promising one is the presence of market frictions mostly in the form of fixed entry and/or transaction costs. Empirical studies strongly point to a significant structural (state) dependence in the the stock market entry decision, which is consistent with costs of these types. However, the magnitude of these costs are not yet known. This paper focuses on fixed stock market entry costs. I set up a structural estimation procedure which involves solving and simulating a life cycle intertemporal portfolio choice model augmented with a fixed stock market entry cost. Important features of household portfolio data (from the PSID) are matched to their simulated counterparts. Utilizing a Simulated Minimum Distance estimator, I estimate the coefficient of relative risk aversion, the discount factor and the stock market entry cost. Given the equity premium and the calibrated income process, I estimate a one-time entry cost of approximately 2 percent of (annual) permanent income. My estimated model matches the zero median holding as well as the hump-shaped age-participation profile observed in the data.Entry costs, Stock market, Structural estimation

    Entry costs and stock market participation over the life cycle

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    Several explanations for the observed limited stock market participation have been offered in the literature. One of the most promising one is the presence of market frictions mostly in the form of fixed entry and/or transaction costs. Empirical studies strongly point to a significant structural (state) dependence in the the stock market entry decision, which is consistent with costs of these types. However, the magnitude of these costs are not yet known. This paper focuses on fixed stock market entry costs. I set up a structural estimation procedure which involves solving and simulating a life cycle intertemporal portfolio choice model augmented with a fixed stock market entry cost. Important features of household portfolio data (from the PSID) are matched to their simulated counterparts. Utilizing a Simulated Minimum Distance estimator, I estimate the coefficient of relative risk aversion, the discount factor and the stock market entry cost. Given the equity premium and the calibrated income process, I estimate a one-time entry cost of approximately 2 percent of (annual) permanent income. My estimated model matches the zero median holding as well as the hump-shaped age-participation profile observed in the data.Entry costs; Stock market; Structural estimation

    Tax Incentives and Household Portfolios: A Panel Data Analysis

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    This paper investigates the responsiveness of household portfolios to tax incentives by exploiting a substantial tax reform that altered after-tax returns and cost of debt for a large number of households. An extraordinary panel data set that covers two years before and after the reform is used for the analysis. Our empirical findings suggest that households reshuffle their balance sheets in the case of a partial deductibility phase-out. In particular, heavily taxed,interest-bearing assets are used to pay off mortgage debt. Furthermore, we find that taxes have a significant impact on the structure of household portfolios even after controlling for unobserved heterogeneity.household portfolios; taxation; panel data; natural experiment

    Tax Incentives and Household Portfolios: A Panel Data Analysis

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    This paper investigates the responsiveness of household portfolios to tax incentives by exploiting a substantial tax reform that altered after-tax returns and cost of debt for a large number of households. An extraordinary panel data set that covers two years before and after the reform is used for the analysis. Our empirical findings suggest that households reshuffle their balance sheets in the case of a partial deductibility phase-out. In particular, heavily taxed, interest-bearing assets are used to pay off mortgage debt. Furthermore, we find that taxes have a significant impact on the structure of household portfolios even after controlling for unobserved heterogeneity.Household portfolios, taxation, panel data, natural experiment

    Subprime Consumer Credit Demand: Evidence from a Lender's Pricing Experiment

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    We test the interest rate sensitivity of subprime credit card borrowers using a unique panel data set from a UK credit card company. We were given details of a randomized interest rate experiment conducted by the lender between October 2006 and January 2007. Access to such information is rare. We first calibrate an intertemporal consumption model to show that the experimental design has sufficient statistical power to detect economically plausible responses among borrowers. We then find that individuals who tend to utilize their credit limits fully do not reduce their demand for credit when subject to increases in interest rates as high as 3 percentage points. This finding is naturally interpreted as evidence of binding liquidity constraints. We also demonstrate the importance of isolating exogenous variation in interest rates when estimating credit demand elasticities. We show that estimating a standard credit demand equation with the nonexperimental variation in the data leads to severely biased estimates. This is true even when conditioning on a rich set of controls and individual fixed effects.subprime credit; randomized trials; liquidity constraints

    Subprime Consumer Credit Demand: Evidence from a Lender?sPricing Experiment

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    We test the interest rate sensitivity of subprime credit card borrowers using a unique panel data set from a UK credit card company. What is novel about our contribution is that we were given details of a randomized interest rate experiment conducted by the lender between October 2006 and January 2007. We find that individuals who tend to utilize their credit limits fully do not reduce their demand for credit when subject to increases in interest rates as high as 3 percentage points. This finding is naturally interpreted as evidence of binding liquidity constraints. We also demonstrate the importance of truly exogenous variation in interest rates when estimating credit demand elasticities. We show that estimating a standard credit demand equation with nonexperimental variation leads to seriously biased estimates even when conditioning on a rich set of controls and individual fixed effects. In particular, this procedure results in a large and statistically significant 3-month elasticity of credit card debt with respect to interest rates even though the experimental estimate of the same elasticity is neither economically nor statistically different from zero.subprime credit; randomized trials; liquidity constraints

    Subprime consumer credit demand: evidence from a lender's pricing experiment

    Get PDF
    We test the interest rate sensitivity of subprime credit card borrowers using a unique panel data set from a UK credit card company. What is novel about our contribution is that we were given details of a randomized interest rate experiment conducted by the lender between October 2006 and January 2007. We find that individuals who tend to utilize their credit limits fully do not reduce their demand for credit when subject to increases in interest rates as high as 3 percentage points. This finding is naturally interpreted as evidence of binding liquidity constraints. We also demonstrate the importance of truly exogenous variation in interest rates when estimating credit demand elasticities. We show that estimating a standard credit demand equation with nonexperimental variation leads to seriously biased estimates even when conditioning on a rich set of controls and individual fixed effects. In particular, this procedure results in a large and statistically significant 3-month elasticity of credit card debt with respect to interest rates even though the experimental estimate of the same elasticity is neither economically nor statistically different from zero. JEL Classification: D11, D12, D14liquidity constraints, randomized trials, subprime credit

    Entry Costs and Stock Market Participation Over the Life Cycle

    Get PDF
    Several explanations for the observed limited stock market participation have been offered in the literature. One of the most promising one is the presence of market frictions mostly in the form of fixed entry and/or transaction costs. Empirical studies strongly point to a significant structural (state) dependence in the stock market entry decision, which is consistent with costs of these types. However, the magnitude of these costs are not yet known. This paper focuses on fixed stock market entry costs. I set up a structural estimation procedure which involves solving and simulating a life cycle intertemporal portfolio choice model augmented with a fixed stock market entry cost. Important features of household portfolio data (from the PSID) are matched to their simulated counterparts. Utilizing a Simulated Minimum Distance estimator, I estimate the coefficient of relative risk aversion, the discount factor and the stock market entry cost. Given the equity premium and the calibrated income process, I estimate a one-time entry cost of approximately 2 percent of (annual) permanent income. My estimated model matches the zero median holding as well as the hump-shaped age-participation profile observed in the data.entry costs; stock market; structural estimation
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