@article {8160,
	title = {The effect of dental insurance on the use of dental care for older adults: a partial identification analysis.},
	journal = {Health Econ},
	volume = {24},
	year = {2015},
	note = {Export Date: 6 August 2014 Article in Press},
	month = {2015 Jul},
	pages = {840-58},
	publisher = {24},
	abstract = {<p>We evaluate the impact of dental insurance on the use of dental services using a potential outcomes identification framework designed to handle uncertainty created by unknown counterfactuals-that is, the endogenous selection problem-and uncertainty about the reliability of self-reported insurance status. Using data from the health and retirement study, we estimate that utilization rates of adults older than 50 years would increase from 75\% to around 80\% under universal dental coverage.</p>},
	keywords = {Aged, Dental Care, Female, Humans, Insurance Coverage, Insurance, Dental, Male, Middle Aged, Models, Econometric, Reproducibility of Results},
	issn = {1099-1050},
	doi = {10.1002/hec.3064},
	author = {Kreider, Brent and Richard J. Manski and John F Moeller and John V Pepper}
}
@article {5530,
	title = {Disability and Employment: Reevaluating the Evidence in Light of Reporting Errors},
	number = {2002-06},
	year = {2003},
	note = {ProCite field 22 : 4 ProCite field 24 : 4},
	institution = {Employee Benefits, Compensation and Pension Law},
	abstract = {Long-standing debates about relationships between labor supply behavior and health status among persons nearing retirement age have centered largely on disagreements about the reliability of self-reported health indicators. In light of reporting errors in work capacity, this paper considers the problem of predicting how employment rates vary with disability status when  true  disability is unobserved. Rather than imposing the strong assumptions required to obtain point identification, we take a step back to evaluate what can be inferred under a variety of assumptions that are weaker but arguably more credible than those imposed in the existing literature. Although these assumptions do not identify the conditional employment rates except in special cases, nonparametric bounds for these parameters can be obtained. Using data from the Health and Retirement Study, we estimate a set of bounds that formalize the identifying power of a number of different assumptions that appear to have broad consensus in the literature. Our results suggest that models estimated under the assumption of fully accurate reporting lead to biased inferences. In particular, it appears that nonworkers tend to overreport disabilities.},
	keywords = {Employment and Labor Force, Health Conditions and Status, Methodology},
	doi = {http://dx.doi.org/10.2139/ssrn.337224},
	author = {Kreider, Brent and John V Pepper}
}
@article {5467,
	title = {Inferring Disability Status from Corrupt Data},
	year = {2001},
	institution = {Iowa State University, Dept. of Economics},
	abstract = {We investigate what can be learned about the prevalence of work disability using self-reported assessments of work capacity. Although health status is widely recognized as a crucial determinant of labor supply behavior and participation in public transfer programs, there is a long-standing debate about the reliability of self-reported indicators. Anderson and Burkhauser (1985), in fact, labeled the appropriate use of health controls  the major unsettled issue in the empirical literature on the labor supply of older workers,  and the debate has only grown stronger over time. Rather than focus on assumptions required to obtain point identification, we take a step back to evaluate what can be inferred about disability rates under a variety of assumptions that are weaker but arguably more credible than those imposed in the existing literature. Extending the work on corrupt samples developed by Horowitz and Manski (1995), we develop a set of nonparametric bounds that, in the most basic setting, require only prior information restricting the fraction of persons who might misreport disability. These bounds inform the ongoing debate by effectively constraining the range of uncertainty regarding the effects of inaccurate reporting on inferences.  The results clearly show that the strength of the conclusions one can draw depend directly on the strength of the assumptions one is willing to impose. Under minimal assumptions, the bounds are nearly uninformative. Tighter bounds can be obtained with additional assumptions. Under the assumption that the true disability rate is nondecreasing with age, our results imply that conventional participation models which presume valid self-reports may be misspecifed.},
	keywords = {Disabilities, Methodology},
	author = {Kreider, Brent and John V Pepper}
}
@article {6678,
	title = {Explaining Applications to the U.S. Disability System: A Semiparametric Approach},
	journal = {Journal of Human Resources},
	volume = {35},
	year = {2000},
	pages = {81-115},
	publisher = {35},
	abstract = {This study investigates the determinants of applications for U.S. disability benefits between, 1986 and 1993 using a semiparametric discrete factor procedure separately for men and women. Approximating a dynamic optimization model, the estimation accounts for a variety of potential biases that were unaddressed in prior studies. Our results indicate different responses of men and women to variations in policy measures. Past labor earnings and fringe benefits as well as benefit eligibility and benefit amounts clearly affect application behavior.},
	keywords = {Disabilities, Methodology, Pensions, Public Policy, Social Security},
	doi = {10.2307/146357},
	author = {Kreider, Brent and Riphahn, Regina T.}
}
@article {6630,
	title = {Latent Work Disability and Reporting Bias},
	journal = {Journal of Human Resources},
	volume = {34},
	year = {1999},
	note = {ProCite field 3 : U VA},
	pages = {734-69},
	publisher = {34},
	abstract = {A measure of  true  disability is constructed as a continuous index of unobserved work limitation using information from the Health and Retirement Study. Estimates from a simultaneous model of work participation, disability, and income flows suggest that nonworkers tend to substantially overreport limitation, with overreporting most prevalent among nonworking women, high school dropouts, nonwhites, and former blue collar workers. Former white collar workers are found unlikely to overreport limitation. Use of a  biased  disability measure in the model leads to an upward-biased estimate of the effect of limitation on non work and to a downward-biased estimate of the effect of income.},
	keywords = {Disabilities, Employment and Labor Force, Health Conditions and Status, Public Policy},
	doi = {10.2307/146415},
	author = {Kreider, Brent}
}
@article {5333,
	title = {Applications to the US Disability Program: A Semiparametric Approach},
	year = {1997},
	note = {ProCite field 8 : U Munich; U VA},
	abstract = {This study investigates the determinants of applications for U.S. disability benefits between 1986 and 1993 using a semiparametric discrete factor procedure. Approximating a dynamic optimization model, the estimation carefully accounts for a variety of potential biases that were not addressed in previous studies. Our results indicate vast differences in the responses of men and women to variations in policy measures. Past labor earnings and fringe benefits as well as benefit eligibility and benefit amounts clearly affect application behavior.},
	keywords = {Disabilities, Retirement Planning and Satisfaction, Social Security},
	url = {https://ideas.repec.org/p/cpr/ceprdp/1559.html},
	author = {Riphahn, Regina T. and Kreider, Brent}
}
@article {5326,
	title = {Applications to the U.S. Disability Program: A Semiparametric Approach},
	year = {1996},
	institution = {Center for Economic Policy Research},
	abstract = {This study investigates the determinants of applications for US disability benefits between 1986 and 1993 using a semiparametric discrete factor procedure. Approximating a dynamic optimization model, the estimation carefully accounts for a variety of potential biases that weren{\textquoteright}t addressed in previous studies. Our results indicate vast differences in the responses of men and women to variations in policy measures. Past labour earnings and fringe benefits as well as benefit eligibility and benefit amounts clearly affect application behaviour.},
	keywords = {Disabilities, Methodology, Pensions},
	url = {https://ideas.repec.org/p/cpr/ceprdp/1559.html},
	author = {Kreider, Brent and Riphahn, Regina T.}
}
