Shore, Stephen H

Email Address
ORCID
Disciplines
Research Projects
Organizational Units
Position
Introduction
Research Interests

Filters

20124
4
4
Reset filters

Settings

Search Results

Now showing 1 - 4 of 4
  • Publication
    Identifying Idiosyncratic Career Taste and Skill with Income Risk
    (2012-10-01) Shore, Stephen H; Barth, Daniel; Jensen, Shane T
    How important to well-being is choosing a career with the right fit? This question is difficult to answer because we observe individuals only in their chosen careers, not in the other (presumably inferior) options they did not choose. To overcome this problem, we use expected utility to cardinalize a logit model of career choice in a setting where we observe the income risk of chosen careers and the risk-aversion of the people who choose them. The key parameter of interest - the importance of idiosyncratic taste and skill in career choice - is identified from the shift in the distribution of income risk with risk aversion. We estimate the model using individual-specific measures of income volatility to proxy for income risk and survey questions about hypothetical income gambles to proxy for risk preference, both from the PSID. We separate idiosyncratic career taste from skill using the pay gap between high and low-income risk people with high and low risk-aversion.
  • Publication
    Semiparametric Bayesian Modeling of Income Volatility Heterogeneity
    (2012-10-01) Jensen, Shane T; Shore, Stephen H
    Research on income risk typically treats its proxy—income volatility, the expected magnitude of income changes—as if it were unchanged for an individual over time, the same for everyone at a point in time, or both. In reality, income risk evolves over time, and some people face more of it than others. To model heterogeneity and dynamics in (unobserved) income volatility, we develop a novel semiparametric Bayesian stochastic volatility model. Our Markovian hierarchical Dirichlet process (MHDP) prior augments the recently developed hierarchical Dirichlet process (HDP) prior to accommodate the serial dependence of panel data. We document dynamics and substantial heterogeneity in income volatility.
  • Publication
    Semiparametric Bayesian Modeling of Income Volatility Heterogeneity
    (2012-10-01) Jensen, Shane T.; Shore, Stephen H.
    Research on income risk typically treats its proxy—income volatility, the expected magnitude of income changes—as if it were unchanged for an individual over time, the same for everyone at a point in time, or both. In reality, income risk evolves over time, and some people face more of it than others. To model heterogeneity and dynamics in (unobserved) income volatility, we develop a novel semiparametric Bayesian stochastic volatility model. Our Markovian hierarchical Dirichlet process (MHDP) prior augments the recently developed hierarchical Dirichlet process (HDP) prior to accommodate the serial dependence of panel data. We document dynamics and substantial heterogeneity in income volatility.
  • Publication
    Identifying Idiosyncratic Career Taste and Skill with Income Risk
    (2012-10-01) Shore, Stephen H.; Barth, Daniel; Jensen, Shane T.
    How important to well-being is choosing a career with the right fit? This question is difficult to answer because we observe individuals only in their chosen careers, not in the other (presumably inferior) options they did not choose. To overcome this problem, we use expected utility to cardinalize a logit model of career choice in a setting where we observe the income risk of chosen careers and the risk-aversion of the people who choose them. The key parameter of interest - the importance of idiosyncratic taste and skill in career choice - is identified from the shift in the distribution of income risk with risk aversion. We estimate the model using individual-specific measures of income volatility to proxy for income risk and survey questions about hypothetical income gambles to proxy for risk preference, both from the PSID. We separate idiosyncratic career taste from skill using the pay gap between high and low-income risk people with high and low risk-aversion.