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Examining the Impacts of Saving Rate and Net Lending on Pension Funds in OECD Countries Cover

Examining the Impacts of Saving Rate and Net Lending on Pension Funds in OECD Countries

Open Access
|Dec 2024

Figures & Tables

Figure 1:

Life Cycle Hypothesis
Source: (Van de Ven et al., 2017)
Life Cycle Hypothesis Source: (Van de Ven et al., 2017)

Figure 2:

Saving rate in OECD countries from 2011-2021
Source: OECD (2023c)
Saving rate in OECD countries from 2011-2021 Source: OECD (2023c)

Figure 3:

Net lending in OECD countries from 2011-2021
Source: OECD (2023b)
Net lending in OECD countries from 2011-2021 Source: OECD (2023b)

Variable Descriptions, Definitions and Sources

VariableDefinitionsCalculationSource
PENCONPension contributionPension fund revenues as a percentage of GDPOECD Statistics
PENBENPension benefits paidPension fund expenditures as a percentage of GDPOECD Statistics
SAVINGSaving rateSavings of net depreciation as a percentage of the GDP. Saving is equal to the difference between disposable income (including an adjustment for the change in employment-related pension entitlements) and final consumption expenditure. Saving rate represents national sectoral total.OECD Statistics
LENDINGNet lendingNet amount a unit or a sector has available to finance, directly or indirectly, other units or other sectors (as a percentage of the GDP). Net lending can be derived as saving plus net receipts of capital transfers minus net purchases of non-financial assets (i.e. the balance of the capital account), or it can be measured as the difference between net acquisition of financial assets and net incurrence of liabilities (i.e. the balance of the financial account). Saving rate represents national sectoral total.OECD Statistics
LNGDPCAPReal GDP per capitaThe natural logarithm of GDP per capita in 2015 US$WDIs
INTERNETInternet AccessIndividuals using the Internet (% of population)WDIs
AGEDEPAge dependency ratioThe ratio of non-working population (i.e. aged 15 or younger and aged 64 and older) to working-age population.WDIs
AGED-TO-WORKINGAged to working-age populationThe ratio of the aged to the working-age populationWDIs
LABOREDUCLabor educationLabor force with basic education (% of total working-age population with basic education)WDIs
LIFEEXPLife expectancyThe natural logarithm of life expectancy at birthWDIs
MORTALITYMortality rateMortality from CVD, cancer, diabetes or CRD between exact ages 30 and 70 (%)WDIs

List of Sample Countries

AustraliaAustriaSpainNetherlands
CanadaHungaryEstoniaPoland
SwitzerlandIsraelFinlandPortugal
ChileItalyFranceTurkey
CzechKoreaUnitedUnited States
Republic Kingdom
GermanyLithuaniaGreece
JapanMexicoCosta Rica

Pairwise Correlations

Variables(1)(2)(3)(4)(5)(6)(7)(8)(9)(10)
(1) PENCON1.000
(2) PENBEN0.8851.000
(3) SAVING0.239-0.0131.000
(4) LENDING-0.043-0.0540.3631.000
(5) LNGDPCAP0.5180.694-0.1690.1661.000
(6) INTERNET0.3510.4420.2200.2970.6121.000
(7) AGEDEP-0.186-0.017-0.4370.1090.3100.1161.000
(8) LABOREDUC0.4100.3230.065-0.2030.1310.020-0.1881.000
(9) LIFEEXP0.3420.368-0.0770.0890.7220.4050.1580.2981.000
(10) MORTALITY-0.117-0.1910.190-0.396-0.650-0.574-0.4700.102-0.5861.000
VIF--1.671.583.542.551.651.362.773.62

Summary Statistics

NMeanStd. Dev.minp25Medianp75max
PENCON2422.1422.2260.1830.4620.9862.9957.816
PENBEN2421.5541.8980.0040.2150.4432.7725.924
SAVING2376.9435.131-1.9413.4426.8549.76418.588
LENDING2340.883.592-4.835-1.8640.7483.0617.755
LNGDPCAP24210.1830.5749.299.62110.27610.69910.996
INTERNET23879.27811.37555.0571.63582.31888.4193.898
AGEDEP24251.0784.41641.88148.41451.39254.20758.657
LABOREDUC23840.96911.96018.6433.3142.0249.9859.3
LIFEEXP2224.3810.0334.3124.3614.3944.4074.422
MORTALITY2007.4473.4783.14.456.210.5514.1

Regression Estimates of Pension Contributions and Pension Benefits Paid

VARIABLES(1) PENCON(2) PENCON(3) PENBEN(4) PENBEN
SAVING-0.038*(0.021)-0.033(0.021)-0.053***(0.013)-0.055***(0.012)
LENDING0.012(0.019)0.004(0.020)0.021(0.013)0.022*(0.012)
LNGDPCAP0.356(0.723)0.426(0.828)1.076*(0.588)0.738(0.612)
INTERNET0.007*(0.004)0.000(0.007)0.003(0.004)-0.010**(0.005)
AGEDEP-0.038*(0.020)-0.062**(0.026)
AGED-TO-WORKING -0.002(0.041)0.082*(0.045)
LABOREDUC0.026*(0.015)0.029*(0.016)-0.035***(0.009)-0.027***(0.009)
LIFEEXP17.438***(6.639)15.307**(6.442)9.078(5.793)5.243(5.335)
MORTALITY0.013(0.028)0.028(0.030)0.023(0.025)0.031(0.024)
Constant-77.339***(28.660)-67.225**(26.821)-46.641*(27.993)-32.310(25.769)
Country FEsYESYESYESYES
Year FEsNOYESNOYES
Observations190190190190
Within R-squared0.15770.14620.42150.3341
DOI: https://doi.org/10.2478/irfc-2024-0002 | Journal eISSN: 2508-464X | Journal ISSN: 2508-3155
Language: English
Page range: 15 - 26
Submitted on: Sep 7, 2023
Accepted on: Aug 28, 2024
Published on: Dec 17, 2024
Published by: International Academy of Financial Consumers
In partnership with: Paradigm Publishing Services

© 2024 Huong Thu Thi Phung, Thai Hong Le, Pham Thi Hoang Anh, published by International Academy of Financial Consumers
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.