We consider Bayesian inference about the mean of a binary variable that is subject to misclassification error. If the error probabilities are not known, or cannot be esti[...]

This paper develops methods of Bayesian inference in a sample selection model. The main feature of this model is that the outcome variable is only partially observed. We [...]

We present a Bayesian analysis of a regression model with a binary covariate that may have classification (measurement) error. Prior research demonstrates that the regres[...]

We study a regression model with a binary explanatory variable that is subject to misclassification errors. The regression coefficient is then only partially identified. [...]

Reuter et al. [1] highlight the limitations of using a general population survey (GPS) to determine the prevalence of frequent heroin use. Data from such surveys are like[...]

Objective: To test the relationship between external environments, organizational characteristics, and technical efficiency in federally qualified health centers (FQHCs).[...]

Introduction: Smoke-free air laws in restaurants and bars protect patrons and workers from involuntary exposure to secondhand smoke, but owners often express concern that[...]

Study objectivePatient-centered medical homes are primary care practices that focus on coordinating acute and preventive care. Such practices can obtain patient-centered [...]

Accurate estimates of the cumulative incidence of SARS-CoV-2 infection remain elusive. Among the reasons for this are that tests for the virus are not randomly administer[...]

The relevant economics literature on the impact of RandD on patenting activity falls within two methodological areas of inquiry. The first area might be classified as a t[...]

We analyze what we consider to be an unanticipated consequence of the SBIR program, namely, that firms, publicly funded through the SBIR program, are going public based o[...]

This paper presents estimates of the impact of public RandD on patenting activity at the U.S. Environmental Protection Agency (EPA). Using a time series of public sector [...]

Entrepreneurial firms that rely on public research institutes, the third sector of RandD, are also firms that are more innovative in terms of introducing new or significa[...]

Objective: The Support and Services at Home (SASH) program in Vermont aims to coordinate care and assist participants in accessing the health care and support services th[...]

Scientific papers submitted for publication from U.S. Small Business Innovation Research (SBIR)-funded research projects are an innovative output that has yet to be studi[...]

In this paper we derive an alternative asymptotic approximation to the sampling distribution of the limited information maximum likelihood estimator and a bias corrected [...]

Prescription drug abuse has become increasingly prevalent in recent years, yet little is known about its impact on workplaces. This study investigated the relation betwee[...]

There are no studies of the RandD-to-patenting relationship at the federal agency level. We estimate a public sector knowledge production function using federal agency pa[...]

We describe public support for AI research in small firms using data from U.S. Department of Defense-funded SBIR projects. Ours is the first collection of firm-level proj[...]

BackgroundOn April 1, 2009, the federal government raised cigarette taxes from $0.39 to $1.01 per pack. This study examines the impact of this increase on a range of smok[...]

A spatial distributional analysis of the population of Phase II research projects funded by the US SBIR program in FY 2020 shows differences across states in projects foc[...]

Background: Following the declaration that President Mwai Kibaki was the winner of the Kenyan presidential election held on December 27, 2007, a period of post-election v[...]

Objective. To compare health care utilization and payments between NCQA-recognized patient-centered medical home (PCMH) practices and practices without such recognition.D[...]

While the academic and policy literature has focused on patent counts and patent quality as possible outcome measures to evaluate the impact of the U.S. Bayh–Dole Act of [...]

Technology-based firms use intellectual property protection mechanisms (IPPMs) to appropriate the returns to their research investments. The empirical literature has gene[...]