Publication: Population aging in the overlapping generations models for thailand
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Issued Date
2022-08-08
Resource Type
Language
eng
File Type
application/pdf
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Open Access
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ผลงานนี้เผยแพร่ภายใต้ สัญญาอนุญาตครีเอทีฟคอมมอนส์แบบ แสดงที่มา-ไม่ใช้เพื่อการค้า-ไม่ดัดแปลง 4.0 (CC BY-NC-ND 4.0)
Rights Holder(s)
Srinakharinwirot University
Suggested Citation
Suchira Mattayaphutron, สุชีรา มาตยภูธร (2022). Population aging in the overlapping generations models for thailand. Retrieved from: https://hdl.handle.net/20.500.14740/54917
Alternative Title(s)
ประชากรสูงวัยในแบบจำลองเหลื่อมรุ่นสำหรับประเทศไทย
Author(s)
Advisor(s)
Organization
Abstract
This study develops three stochastic overlapping generations (OLG) models to investigate the effects of mandatory retirement age policy and child allowance policy in an aging economy. From a benchmark model, two features are added respectively in each extended model, namely an exogenous longer retirement age and an endogenous fertility rate, representing the number of children. The calibrated parameters of the Thai economy and population were used, these models provided simulation results to measure the effects of each policy on the macroeconomic variables, including output, capital accumulation, and lifetime consumption, as well as the government transfers and the Pay-as-you-go (PAYG) pension. First, the results showed that a higher mandatory retirement age is always beneficial in the long run for PAYG pension budgets and for government elderly transfers, and thus future generations may enjoy greater consumption than the current ones do. On the contrary, in the long run, such policies can create downsizing effects on capital accumulation and on output. Second, the policy of a higher child allowance is always beneficial in the long run for PAYG pension budgets, the government elderly transfers, and a higher fertility rate with more newborns. The effects on lifetime consumption, capital accumulation and output are similar to previous models, while the net effects remained positive on returns to capital and negative on the wage rate.
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Degree Name
DOCTOR OF PHILOSOPHY (Ph.D.)
Degree Discipline
Degree Grantor(s)
Srinakharinwirot University
