Related Experiment Video
Updated: Aug 3, 2026
10:00
Measurement of Lifespan in Drosophila melanogaster
Published on: January 7, 2013
[Births and cohort size: an empirical test of the Easterlin hypothesis]
Maandstatistiek Van De Bevolking (Hague, Netherlands : 1982)
|April 1, 1987
Abstract:
The author develops an alternative to the Ahlburg specification of the Easterlin hypothesis concerning the relationship between cohort size and fertility. "In combination with a declining trend in average family size (represented by a linear spline function), the Easterlin effect is found to affect the movement of births in the Netherlands during the period 1950-1985. It should be noted, however, that the trend explains by far the larger fraction of variance of births. The model projects a rise of births until 2000 followed by a decline." (SUMMARY IN ENG)
Keywords:
Cohort AnalysisDemographic FactorsDeveloped CountriesEasterlin HypothesisEconomic FactorsEstimation TechnicsEuropeFamily And HouseholdFamily CharacteristicsFamily SizeFamily Size, AverageFertilityMicroeconomic FactorsNetherlandsPopulationPopulation DynamicsPopulation ForecastResearch MethodologyWestern Europe
Related Concept Videos
00:57Population Growth
Population size is dynamic, increasing with birth rates and immigration, and decreasing with death rates and emigration. In ideal conditions with unlimited resources, populations can increase exponentially, which plots as a J-shaped growth rate curve of population size against time. This type of curve is characteristic of newly-introduced invasive species, or populations that have suffered catastrophic declines and are rebounding.However, realistic environmental conditions limit the number of...
01:52Regression Toward the Mean
Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when researchers try to extrapolate results...
01:11Testing a Claim about Mean: Known Population SD
A complete procedure of testing the hypothesis about a population mean is explained here.
Estimating a population mean requires the samples to be distributed normally. The data should be collected from the randomly selected samples having no sampling bias. The sample size needed to be higher than 30, and most importantly, the population standard deviation should be already known.
In most realistic situations, the population standard deviation is often unknown, but in rare circumstances, when it...
Estimating a population mean requires the samples to be distributed normally. The data should be collected from the randomly selected samples having no sampling bias. The sample size needed to be higher than 30, and most importantly, the population standard deviation should be already known.
In most realistic situations, the population standard deviation is often unknown, but in rare circumstances, when it...
01:29Bias in Epidemiological Studies
Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:
01:26Longitudinal Studies
Longitudinal studies are also widely used in other medical and social science fields. For instance, in cardiovascular research, they can monitor patients' health over decades to identify risk factors for heart disease, such as high cholesterol or smoking, and evaluate the long-term effectiveness of preventive measures. Similarly, in mental health studies, researchers might follow individuals from adolescence into adulthood to understand the development and progression of conditions like...
01:22Applications of Life Tables
Life tables are versatile across various fields, providing a quantitative basis for analyzing mortality and survival rates. Whether used by demographers, actuaries, epidemiologists, or sociologists, life tables offer valuable insights into the dynamics of life and death, facilitating informed decisions in public health, insurance, conservation, and beyond. Their broad applicability highlights the interconnectedness of demographic data with practical outcomes in everyday life and strategic...