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1 – 5 of 5Jenny N. Lye and Joseph G. Hirschberg
In this chapter we demonstrate the construction of inverse test confidence intervals for the turning-points in estimated nonlinear relationships by the use of the marginal or…
Abstract
In this chapter we demonstrate the construction of inverse test confidence intervals for the turning-points in estimated nonlinear relationships by the use of the marginal or first derivative function. First, we outline the inverse test confidence interval approach. Then we examine the relationship between the traditional confidence intervals based on the Wald test for the turning-points for a cubic, a quartic, and fractional polynomials estimated via regression analysis and the inverse test intervals. We show that the confidence interval plots of the marginal function can be used to estimate confidence intervals for the turning-points that are equivalent to the inverse test. We also provide a method for the interpretation of the confidence intervals for the second derivative function to draw inferences for the characteristics of the turning-point.
This method is applied to the examination of the turning-points found when estimating a quartic and a fractional polynomial from data used for the estimation of an Environmental Kuznets Curve. The Stata do files used to generate these examples are listed in Appendix A along with the data.
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Dek Terrell and Daniel Millimet
The collection of chapters in this 30th volume of Advances in Econometrics provides a well-deserved tribute to Thomas B. Fomby and R. Carter Hill, who have served as editors of…
Abstract
The collection of chapters in this 30th volume of Advances in Econometrics provides a well-deserved tribute to Thomas B. Fomby and R. Carter Hill, who have served as editors of the Advances in Econometrics series for 25 and 21 years, respectively. Volume 30 contains a more varied collection of chapters than previous volumes, in essence mirroring the wide variety of econometric topics covered by the series over 30 years. Volume 30 starts with a chapter discussing the history of this series over the last 30 years. The next five chapters can be broadly categorized as focusing on model specification and testing. Following this section are three contributions that examine instrumental variables models in quite different settings. The next four chapters focus on applied macroeconomics topics. The final chapter offers a practical guide to conducting Monte Carlo simulations.
Gabriela Capurro and Josh Greenberg
Purpose – The authors examine framing and narrativization in news coverage of health threats to assess variations in news discourse for known, emerging and novel health risks…
Abstract
Purpose – The authors examine framing and narrativization in news coverage of health threats to assess variations in news discourse for known, emerging and novel health risks. Methodology/Approach – Using the analytical categories of known, emerging, and novel risks the authors discuss media analyses of anti-vaccination, antimicrobial resistance (AMR), and Covid-19. Findings – Known risks are framed within a biomedical discourse in which scientific evidence underpins public health guidelines, and following these directives prevent risk exposure while non-compliance is characterized as immoral and risky. News coverage of emerging risks highlights public health guidelines but fails to convey their importance as the risks seem too distant or abstract. Media coverage of novel risks is characterized by the ubiquity of uncertainty, which emerges as a “master frame” under which all incidents and events are subsumed. Stories about novel risks highlight the fluid and changing nature of scientific knowledge, which has the unintended effect of fueling uncertainty as studies and experts contradict each other. Originality/Value – This chapter introduces a new analytical framework for examining how media stories represent public health risks, along with previously unpublished analysis of media coverage about AMR and Covid-19. This chapter provides insight about the nature of risk discourses involving media, public health officials, activists, and citizens.
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