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Cummins, Clint

Overview
Works: 19 works in 44 publications in 1 language and 122 library holdings
Genres: Guidebooks  Handbooks, manuals, etc 
Classifications: H11, 796.5223097462
Publication Timeline
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Publications about Clint Cummins
Publications by Clint Cummins
Most widely held works by Clint Cummins
Geographic and racial variation in premature mortality in the US analyzing the disparities by Mark R Cullen( file )
7 editions published in 2012 in English and held by 26 libraries worldwide
Life expectancy at birth, estimated from United States period life tables, has been shown to vary systematically and widely by region and race. We use the same tables to estimate the probability of survival from birth to age 70 (S70), a measure of mortality more sensitive to disparities and more reliably calculated for small populations, to describe the variation and identify its sources in greater detail to assess the patterns of this variation. Examination of the unadjusted probability of S70 for each US county with a sufficient population of whites and blacks reveals large geographic differences for each race-sex group. For example, white males born in the ten percent healthiest counties have a 77 percent probability of survival to age 70, but only a 61 percent chance if born in the ten percent least healthy counties. Similar geographical disparities face white women and blacks of each sex. Moreover, within each county, large differences in S70 prevail between blacks and whites, on average 17 percentage points for men and 12 percentage points for women. In linear regressions for each race-sex group, nearly all of the geographic variation is accounted for by a common set of 22 socio-economic and environmental variables, selected for previously suspected impact on mortality; R2 ranges from 0.86 for white males to 0.72 for black females. Analysis of black-white survival chances within each county reveals that the same variables account for most of the race gap in S70 as well. When actual white male values for each explanatory variable are substituted for black in the black male prediction equation to assess the role explanatory variables play in the black-white survival difference, residual black-white differences at the county level shrink markedly to a mean of -2.4% (+/-2.4); for women the mean difference is -3.7 % (+/-2.3)
Traprock : rock climbing in central Connecticut by Ken Nichols( Book )
1 edition published in 1982 in English and held by 22 libraries worldwide
Time Series Processor version 4.2 : user's manual including an introductory guide by Bronwyn H Hall( Book )
11 editions published between 1991 and 1994 in English and held by 21 libraries worldwide
Time Series Processor version 4.3 user's guide : including an introductory guide by Bronwyn H Hall( Book )
8 editions published between 1995 and 1996 in English and held by 20 libraries worldwide
Time Series Processor : version 4.1 : user's manual : including an introductory guide by Bronwyn H Hall( Book )
3 editions published in 1988 in English and held by 5 libraries worldwide
Time Series Processor version 4.5 reference manual by Bronwyn H Hall( Book )
1 edition published in 1999 in English and held by 5 libraries worldwide
Time Series Processor version 4.5 user's guide : including an introductory guide by Bronwyn H Hall( Book )
1 edition published in 1999 in English and held by 5 libraries worldwide
Time Series Processor version 4.2 : reference manual by Bronwyn H Hall( Book )
1 edition published in 1991 in English and held by 4 libraries worldwide
Who Does R&D and Who Patents? ( file )
1 edition published in 1982 in English and held by 2 libraries worldwide
This paper describes the construction of a large panel data set covering about 2600 firms in the U.S. manufacturing sector for up to twenty years which contains annual data on financial variables, employment, research and development expenditures, and aggregate patent applications. This data set is to be used in a larger study of R&D, inventive output and technological change. In the present paper we present preliminary results on the R&D and patenting behavior of the 1976 cross section of these firms. We find an elasticity of R&D with respect to sales of close to unity, with both very small and very large firms being slightly more R&D intensive than average. Because only 60% of the firms report R&D expenditures, we attempt to correct for selectivity bias and find that though the correction is small, it increases the estimated complementarity between capital intensity and R&D intensity. In exploring the relationship of the patenting activity of these firms to their contemporaneous R&D expenditures, we look with some care at the choice of econometric specifications since the discrete nature of the patents variable for our smaller firms may cause difficulties with the conventional log linear model. The choice of specification does indeed make a difference, and the negative binomial model, which is a Poisson-type model with a disturbance, is preferred. Substantively, we find a much larger output of patents per R&D dollar for the small firms, with a decreasing propensity to patent with size of R&D programs throughout the sample. However, this conclusion is highly tentative both because of its sensitivity to specification and choice of sample and also because we expect that errors in variables bias due to our focus on R&D and patent applications in a single year is far worse for the small firms
Time Series Processor version 4.4 user's guide : including an introductory guide by Bronwyn H Hall( Book )
1 edition published in 1997 in English and held by 2 libraries worldwide
The R&D Master File Documentation ( file )
1 edition published in 1988 in English and held by 2 libraries worldwide
This document describes the panel of publicly traded United States manufacturing firms which was created and updated at the National Bureau of Economic Research from 1978 through 1988 within the Productivity Program. The panel consists of about 2600 large manufacturing firms with three to twenty-seven years of data each; the period covered by the sampling frame was 1976 through 1985, with data back to 1959 where possible. There are approximately 70 variables for each firm-year of data, consisting of income statement and balance sheet variables and the corresponding common stock data. The technological data available for these firms consist of R&D expenditures and patents granted, both by date of application and by granting date. The patents data are available only through about 1981, due to the limitations of our sources and budget. The firms on the file are identified both by their CUSIP number and by name, making it feasible to match this data to other sources
Who does R & D and who patents? by John Bound( Computer File )
1 edition published in 1982 in English and held by 2 libraries worldwide
This paper describes the construction of a large panel data set covering about 2600 firms in the U.S. manufacturing sector for up to twenty years which contains annual data on financial variables, employment, research and development expenditures, and aggregate patent applications. This data set is to be used in a larger study of R & D, inventive output and technological change. In the present paper we present preliminary results on the R & D and patenting behavior of the 1976 cross section of these firms. We find an elasticity of R & D with respect to sales of close to unity, with both very small and very large firms being slightly more R & D intensive than average. Because only 60% of the firms report R & D expenditures, we attempt to correct for selectivity bias and find that though the correction is small, it increases the estimated complementarity between capital intensity and R & D intensity. In exploring the relationship of the patenting activity of these firms to their contemporaneous R & D expenditures, we look with some care at the choice of econometric specifications since the discrete nature of the patents variable for our smaller firms may cause difficulties with the conventional log linear model. The choice of specification does indeed make a difference, and the negative binomial model, which is a Poisson-type model with a disturbance, is preferred. Substantively, we find a much larger output of patents per R & D dollar for the small firms, with a decreasing propensity to patent with size of R & D programs throughout the sample. However, this conclusion is highly tentative both because of its sensitivity to specification and choice of sample and also because we expect that errors in variables bias due to our focus on R & D and patent applications in a single year is far worse for the small firms
Time Series Processor version 4.4 reference manual by Bronwyn H Hall( Book )
1 edition published in 1998 in English and held by 1 library worldwide
TSP 5.0 Reference manual by Bronwyn H Hall( Book )
1 edition published in 2005 in English and held by 1 library worldwide
The determinants of job satisfaction and quits : econometric models and estimation by Clint Cummins( Book )
1 edition published in 1980 in English and held by 1 library worldwide
Time series processor, version 4.0,4.1, programmer's manual by Clint Cummins( Book )
1 edition published in 1986 in Undetermined and held by 1 library worldwide
TSP 5.0 by Bronwyn H Hall( Book )
1 edition published in 2005 in English and held by 1 library worldwide
Times series processor : version 4.4 by Bronwyn H Hall( Book )
in English and held by 1 library worldwide
The R & D master file documentation by Bronwyn H Hall( Computer File )
1 edition published in 1988 in English and held by 0 libraries worldwide
This document describes the panel of publicly traded United States manufacturing firms which was created and updated at the National Bureau of Economic Research from 1978 through 1988 within the Productivity Program. The panel consists of about 2600 large manufacturing firms with three to twenty-seven years of data each; the period covered by the sampling frame was 1976 through 1985, with data back to 1959 where possible. There are approximately 70 variables for each firm-year of data, consisting of income statement and balance sheet variables and the corresponding common stock data. The technological data available for these firms consist of R & D expenditures and patents granted, both by date of application and by granting date. The patents data are available only through about 1981, due to the limitations of our sources and budget. The firms on the file are identified both by their CUSIP number and by name, making it feasible to match this data to other sources
 
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English (43)
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