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Wednesday, August 5, 2020 | History

4 edition of Identifying age, cohort and period effects in scientific research productivity found in the catalog.

Identifying age, cohort and period effects in scientific research productivity

Bronwyn H. Hall

Identifying age, cohort and period effects in scientific research productivity

discussion and illustration using simulated and actual data on French physicists

by Bronwyn H. Hall

  • 238 Want to read
  • 9 Currently reading

Published by National Bureau of Economic Research in Cambridge, MA .
Written in English

    Places:
  • France.
    • Subjects:
    • Cohort analysis -- Methodology.,
    • Technological innovations -- Research -- Methodology.,
    • Physicists -- France.

    • Edition Notes

      StatementBronwyn H. Hall, Jacques Mairesse, Laure Turner.
      SeriesNBER working paper series ;, working paper 11739, Working paper series (National Bureau of Economic Research : Online) ;, working paper no. 11739.
      ContributionsMairesse, Jacques., Turner, Laure., National Bureau of Economic Research.
      Classifications
      LC ClassificationsHB1
      The Physical Object
      FormatElectronic resource
      ID Numbers
      Open LibraryOL3459397M
      LC Control Number2005399824

        Sexual inactivity during young adulthood is more common among U.S. Millennials and iGen: Age, period, and cohort effects on having no sexual partners after age .   Book Description. Develop a Deep Understanding of the Statistical Issues of APC Analysis. Age–Period–Cohort Models: Approaches and Analyses with Aggregate Data presents an introduction to the problems and strategies for modeling age, period, and cohort (APC) effects for aggregate-level data. These strategies include constrained estimation, the use of age and/or period and/or cohort.

      Cohort effects included reasons similar to those of younger women such as lacking education or job skills. Period effects related to efforts to seek help early in the abusive relationship and receiving little assistance from society’s social institutions. Finally, aging effects dealt with how the health challenges of physical age limited options. Period effects reflect changes in contemporaneous social, historical, and epidemiologic conditions that affect all living cohorts. Cohort effects reflect different formative experiences resulting from the intersection of individual biogra-phies and macrosocial influences. In the absence of period and cohort changes, age effects are broadly.

      tionship between the age, period, and cohort effects: Period−Age=Cohort: This is the model identification problem of APC analysis. It implies that there are an infinite number of possible solutions of the matrix equa-tion (5) (i.e., OLS estimators of model (3)), one for each possible linear.   Book Description. Age-Period-Cohort Analysis: New Models, Methods, and Empirical Applications is based on a decade of the authors’ collaborative work in age-period-cohort (APC) analysis. Within a single, consistent HAPC-GLMM statistical modeling framework, the authors synthesize APC models and methods for three research designs: age-by-time period tables of population rates .


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Identifying age, cohort and period effects in scientific research productivity by Bronwyn H. Hall Download PDF EPUB FB2

Bronwyn Hall & Jacques Mairesse & Laure Turner, "Identifying Age, Cohort and Period Effects in Scientific Research Productivity: Discussion and Illustration Using Simulated and Actual Data on French Physicists," Working PapersCenter for Research in Economics and Statistics.

Bronwyn H. Hall & Jacques Mairesse & Laure Turner, Identifying Age, Cohort, And Period Effects In Scientific Research Productivity: Discussion And Illustration Using Simulated And Actual Data On French Physicists Book.

Dec ; Markus Prior. Get this from a library. Identifying age, cohort and period effects in scientific research productivity: discussion and illustration using simulated and actual data on French physicists. [Bronwyn H Hall; Jacques Mairesse; Laure Turner; National Bureau of Economic Research.] -- "The identification of age, cohort (vintage), and period (year) effects in a panel of individuals or other units is.

Bronwyn Hall & Jacques Mairesse & Laure Turner, "Identifying Age, Cohort and Period Effects in Scientific Research Productivity: Discussion and Illustration Using Simulated and Cohort and period effects in scientific research productivity book Data on French Physicists," Working PapersCenter for Research in Economics and Statistics.

Handle: RePEc:crs:wpaper   Identifying Age, Cohort and Period Effects in Scientific Research Productivity: Discussion and Illustration Using Simulated and Actual Data on French Physicists NBER Working Paper No.

w 32 Pages Posted: 29 Jan Last revised: 31 Jul Cited by: (). IDENTIFYING AGE, COHORT, AND PERIOD EFFECTS IN SCIENTIFIC RESEARCH PRODUCTIVITY: DISCUSSION AND ILLUSTRATION USING SIMULATED AND ACTUAL DATA ON FRENCH PHYSICISTS.

Economics of Innovation and New Technology: Vol. 16, Production and Dissemination of Academic Knowledge, pp. Published: Bronwyn Hall & Jacques Mairesse & Laure Turner, "Identifying Age, Cohort, And Period Effects In Scientific Research Productivity: Discussion And Illustration Using Simulated And Actual Data On French Physicists," Economics of Innovation and New Technology, Taylor and Francis Journals, vol.

16(2), pages citation courtesy of. Identifying Age, Cohort and Period Effects in Scientific Research Productivity: Discussion and Illustration Using Simulated and Actual Data on French Physicists 1 Bronwyn H. HALL, Jacques MAIRESSE, and Laure TURNER 1 Introduction Empirical studies in the social sciences often rely on data and models where a number of.

Identifying Age, Cohort and Period Effects in Scientific Research Productivity: Discussion and Illustration Using Simulated and Actual Data on French Physicists By Bronwyn Hall, Jacques Mairesse and Laure Turner. The identification of age, cohort (vintage), and period (year) effects in a panel of individuals or other units is an old problem in the social sciences, but one that has not been much studied in the context of measuring researcher productivity.

In the context of a semi-parametric model of productivity where these effects are assumed to enter in an additive manner, we present the conditions. In other words age effects refer to a birth cohort moving through the life course because the biographical time of an individual or cohort is embedded in historical time.

In thinking about immigrant incorporation, period, cohort, and age effects play important roles. For instance, migration to the USA has varied drastically during the last century. Abstract. The identification of age, cohort (vintage), and period (year) effects in a panel of individuals or other units is an old problem in the social sciences, but one that has not been much studied in the context of measuring researcher productivity.

To identify the cohorts we need to know only the period and age group: we subtract the early age group from the upper and lower period limit (e.g. people who were years old in we subtract 10 from and to label the cohort interval as ). Identifying Age, Cohort and Period Effects in Scientific Research Productivity: Discussion and Illustration Using Simulated and Actual Data on French Physicists Bronwyn H.

Hall, Jacques Mairesse, and Laure Turner NBER Working Paper No. November JEL No. C23, O31, J44 ABSTRACT. Age effects in scientific production are a consolidated stylised fact in the literature. At the level of scientist productivity declines with age following a predictable pattern.

By attempting to distinguish the effects of birth cohort, of aging, and of historical period, cohort analysis provides a template for thinking about social change. I rely on that template in this book, especially in the discussion of aggregate change (Chapters 3 and 4).

Part of the Handbooks of Sociology and Social Research book series (HSSR) Abstract Cohort analysts’ futile quest: Statistical attempts to separate age, period, and cohort effects.

American R. V., & Jackson, E. Is trust in others declining in America. An age—period-cohort analysis. Social Science Research, 30, –   If age/period effects are present, this, in turn, will reduce the residual variation in the dependent variable and enhance the efficiency of estimation of other parameters, including those representing cohort effects.

A note on treatments. We have used the example of the 19th amendment to lay out the relevant terms of our approach. Gross age, period, and cohort effects on regular service attendance, weekly prayer, belief in the afterlife, and biblical literalism. Notes: Figure graphs results from binary logistic regressions with no constant; each line represents a separate model (i.e.

age, period, and cohort effects. The average age at which U.S. researchers receive their first grant from NIH has increased from into in These data raise the crucial question of the effects of aging on the scientific productivity and impact of researchers.

The variations in the age-specific mortality rates for drowning among Chinese males and females between and indicated the existence of a period effect (Fig. 2A,B), and the non.CESifo Working Paper No. LIFE CYCLE AND COHORT PRODUCTIVITY IN ECONOMIC RESEARCH: THE CASE OF GERMANY Abstract We examine the research productivity of German academic economists over their life cycles.

It turns out that the career-patterns of research productivity as measured by journal.Understanding the effects of age, period, and cohort on incidence and mortality rates. Holford TR(1). Author information: (1)Yale University Medical School, New Haven, CT Time trends for population-based disease rates often are summarized by using direct adjustment by period .