Abstract
This paper develops a finite-horizon dynamic stochastic model of discrete choice with respect to life-cycle fertility within an environment where infant survival is uncertain. The model yields implications for the number, timing, and spacing of children. A tractable estimation method is developed for the linear constraint-quadratic utility case that is intimately tied to the dynamic optimization problem, and the method is applied to Malaysian household data. Estimation is based on integrating the numerical solution of the dynamic programming model of behavior with a maximum likelihood procedure.
Keywords
Constraint (computer-aided design)Mathematical optimizationEstimationQuadratic equationDynamic programmingFertilityEconometricsStochastic programmingComputer scienceEconomicsMathematicsPopulation
Affiliated Institutions
Related Publications
Constrained receding-horizon predictive control
Constrained receding-horizon predictive control (CRHPC) is intended for demanding control applications where conventional predictive control designs can fail. The idea behind CR...
Nonlinear control of constrained linear systems via predictive reference management
A method based on conceptual tools of predictive control is described for solving set-point tracking problems wherein pointwise-in-time input and/or state inequality constraints...
Plant-wide predictive control for a thermal power plant based on a physical plant model
A constrained non-linear, physical model-based, predictive control (NPMPC) strategy is developed for improved plant-wide control of a thermal power plant. The strategy makes use...
SNOPT: An SQP Algorithm for Large-Scale Constrained Optimization
Sequential quadratic programming (SQP) methods have proved highly effective for solving constrained optimization problems with smooth nonlinear functions in the objective and co...
THE LASSO METHOD FOR VARIABLE SELECTION IN THE COX MODEL
I propose a new method for variable selection and shrinkage in Cox's proportional hazards model. My proposal minimizes the log partial likelihood subject to the sum of the absol...
Publication Info
- Year
- 1984
- Type
- article
- Volume
- 92
- Issue
- 5
- Pages
- 852-874
- Citations
- 345
- Access
- Closed
External Links
Social Impact
Altmetric
PlumX Metrics
Social media, news, blog, policy document mentions
Citation Metrics
345
OpenAlex
Cite This
Kenneth I. Wolpin
(1984).
An Estimable Dynamic Stochastic Model of Fertility and Child Mortality.
Journal of Political Economy
, 92
(5)
, 852-874.
https://doi.org/10.1086/261262
Identifiers
- DOI
- 10.1086/261262