A Note on the Delta Method

Oehlert, Gary W.

doi:10.2307/2684406

Cited by 580 publications

(534 citation statements)

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“…In this paper, we computed average marginal effects (AME), that is, we computed the marginal effect for each individual and averaged over the sample, a procedure considered conceptually preferable by Cameron and Trivedi [36]. To estimate AME standard errors we used the Delta method [48].…”

Section: Econometric Speci¢cationmentioning

confidence: 99%

Utilization of public health centres in Portugal: effect of time costs and other determinants. Finite mixture models applied to truncated samples

Lourenço¹,

Ferreira²

2005

Health Economics

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SummaryThe impact of time costs on the utilization of medical care has been a subject of theoretical and empirical research since the early 1970s.The main goal of this paper is to show the effect of time costs on the number of visits to general practitioners (GP) in Portuguese public health centres. We measured the elasticity of primary health care utilization relative to the total time spent in the health centre and relative to travel time. We also provided evidence regarding the impact of an appointment delay on the utilization of public GP services.Our data resulted from the application of an endogenous sampling scheme, resulting in a truncated-at-zero data set. To model our dependent variable, number of visits, and accounting for the truncated nature of the data we used a finite mixture model specification.The data were obtained from the most recent implementation in Portugal of the 2003/2004 Europep Survey. The two-component negative binomial II finite mixture model led to the identification of two different latent classes of health centre users: a low-users class that comprises 88% of patients with an estimated utilization mean of 4.3 GP visits per year and a frequent-users class with an estimated utilization mean of 11.1 visits for the remaining 12% of the population.We failed to find any statistically significant elasticity of time cost utilization, when this variable is measured as the total time spent in the health centre. Regarding the effect of an appointment delay on health centre utilization we concluded that individuals respond to this variable by lowering the number of GP visits. This last finding may have policy implications, which will be discussed at the end of the paper.

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Section: Econometric Speci¢cationmentioning

confidence: 99%

Utilization of public health centres in Portugal: effect of time costs and other determinants. Finite mixture models applied to truncated samples

Lourenço¹,

Ferreira²

2005

Health Economics

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“…21 We computed standard errors for 1990, 2000, and changes over time using the Delta method, and NLMS variance estimates accounted for the complex survey design. 22 Lastly, given the importance of causes of death for which smoking is a risk factor, we computed the sex-specific, age-adjusted share of the adult population (age twentyfive and older) reporting that they were "current smokers" for selected years between 1966 and 2002, in the annual National Health Interview Surveys (NHIS) from various years.…”

Section: Study Data and Methodsmentioning

confidence: 99%

The Gap Gets Bigger: Changes In Mortality And Life Expectancy, By Education, 1981–2000

Richards²,

2008

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In this paper we examine educational disparities in mortality and life expectancy among non-Hispanic blacks and whites in the 1980s and 1990s. Despite increased attention and substantial dollars directed to groups with low socioeconomic status, within race and gender groups, the educational gap in life expectancy is rising, mainly because of rising differentials among the elderly. S o c i a l D e t e r m i n a n t s

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“…The coordinates of the critical points pi (infl ection point) and pda (asymptotic deceleration point) were calculated as functions of the parameter estimates a, b, c, d. The Delta method of Oehlert (1992) was used to obtain the estimated variances of abscissas, (x pi ) and (x pda ); these are functions of the estimated parameters and the estimated variances and covariances of the estimated parameters:…”

Section: Resultsmentioning

confidence: 99%

Critical points on growth curves in autoregressive and mixed models

Pinho

Carvalho

Mischan

et al. 2014

Sci. agric. (Piracicaba, Braz.)

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Adjusting autoregressive and mixed models to growth data fi ts discontinuous functions, which makes it diffi cult to determine critical points. In this study we propose a new approach to determine the critical stability point of cattle growth using a fi rst-order autoregressive model and a mixed model with random asymptote, using the deterministic portion of the models.Three functions were compared: logistic, Gompertz, and Richards. The Richards autoregressive model yielded the best fi t, but the critical growth values were adjusted very early, and for this purpose the Gompertz model was more appropriate.

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A Note on the Delta Method

Cited by 580 publications

References 0 publications

Utilization of public health centres in Portugal: effect of time costs and other determinants. Finite mixture models applied to truncated samples

Utilization of public health centres in Portugal: effect of time costs and other determinants. Finite mixture models applied to truncated samples

The Gap Gets Bigger: Changes In Mortality And Life Expectancy, By Education, 1981–2000

Critical points on growth curves in autoregressive and mixed models

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