Related Experiment Videos
Forecasting first births.
Summary
This study develops forecasting models for family planning transitions, specifically the shift to having small children. These models aid marketing research by predicting first births in the United States and California.
Area of Science:
- Demography
- Family Studies
- Marketing Research
Background:
- The family life cycle involves distinct stages, including the transition to parenthood.
- Understanding this transition is crucial for accurate demographic and market analysis.
Purpose of the Study:
- To develop statistical models for forecasting entry into the 'young married with small children' family stage.
- To support marketing research by predicting demographic shifts related to first births.
Main Methods:
- Ordinary Least Squares (OLS) regression was employed to estimate forecasting models.
- Data from official sources were utilized for the United States and California.
Main Results:
- Models were successfully estimated for the total number of first births.
- Separate models were developed for white and nonwhite first births, allowing for demographic segmentation.
Conclusions:
- The study provides a quantitative approach to forecasting a key family cycle transition.
- These forecasting models can be valuable tools for marketing research and demographic planning.
Keywords:
AmericasBlacksCaliforniaCultural BackgroundDemographic FactorsDeveloped CountriesDeveloping CountriesEstimation TechnicsEthnic GroupsFamily And HouseholdFamily Life CycleFamily ResearchFertilityFertility MeasurementsFirst BirthMarket ResearchMarketingMathematical ModelMethodological StudiesModels, TheoreticalNorth AmericaNorthern AmericaPopulationPopulation CharacteristicsPopulation DynamicsPopulation ForecastPregnancy HistoryResearch MethodologyUnited StatesWhites