micro-economic analysis of the determinants of fertility in Thailand

a joint project of Institute of Population Studies, Chulalongkorn University, Population Survey Division, National Statistical Office by Mathana Phananiramai.

Publisher: The Institute in [Bangkok]

Written in English
Published: Pages: 37 Downloads: 911
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  • Thailand.


  • Family size -- Economic aspects -- Thailand.,
  • Birth control -- Thailand.

Edition Notes

StatementMathana Phananiramai.
SeriesSurvey of fertility in Thailand ;, report no. 5
ContributionsSathāban Prachākǭnsāt., Thailand. Kǭng Samrūat Prachākǭn., World Fertility Survey.
LC ClassificationsHB1054.55.A3 S84 1977 no. 5, HQ762.T5 S84 1977 no. 5
The Physical Object
Pagination37 p. ;
Number of Pages37
ID Numbers
Open LibraryOL4249995M
LC Control Number80913053

determinants of fertility are most typical of "the religions of the book": Ju-daism, Christianity, and Islam. Attention has focused on the teachings of these religions regarding the use of contraception and abortion, the most significant proximate determinants in many societies. All three religious tra-. The Decline of Fertility in Thailand, Malaysia, Indonesia, and the Philippines: to “Own children” estimates of fertility based on micro-level census data show significant declines in Thailand, Malaysia, Indonesia, and the Philippines during the s and s. The most rapid decline occurred in Thailand. Second, the determinants of infant mortality vary between countries. Female fertility emerged as the main determinant of infant mortality in Malaysia, while access to healthcare matter for infant mortality in Indonesia, and to a lesser extent for the Philippines. This dissertation analyzes three important topics to the health care sector of developing countries: fertility, the choice of prenatal care provider and the demand for prenatal care visits using data from the Guatemala Survey of Family Health collected in ^ A poisson count model is estimated to analyze the determinants of fertility. The results show that education and income are.

Determinants of fertility, women's health and employment behavior in Sri Lanka (English) Abstract. The paper analyzes the labor market during , the wartime years, and uses the findings to help understand implications for the labor market as the economy grows and recovers from the conflict. Analysis of Economic Determinants of Fertility in IRAN: A Multilevel Approach Introduction The number of children ever born per woman has important implications for public health, economic climate, and population structure. It can influence infant, child and maternal mortality, obstetric and child health services, economic growth. 1. Level and trends of fertility and its proximate determinants in Vietnam. Total fertility rate for Vietnam in and are shown in Table 1. The large socioeconomic variations have been found in the levels of fertility in Vietnam in These variations have shrunk to a great extent by At the national level, the TFR has gone down. childlessness rates. Therefore this theory can be used to explain rising childlessness levels and differences in childlessness between European countries. Micro level decisions The Value of Children theory and the micro economic theories are micro level theories. These theories explain differences in individual fertility decisions from differences between individuals.

Free online NTA UGC NET guide book covers the solved question papers of old UGC NET, NTA NET, UGC SET, UGC SLET exam. The previous year’s answer keys are also given. The syllabus, sample or model question paper of National Eligibility Test (NET) / State Eligibility Test (SET) / State Level Eligibility Test (SLET) Examination of University Grants Commission (UGC) conducted by National Testing.   In Ethiopia, for the last 10 years the total fertility rate (TFR) has declined slightly from to children in But, the TFR in urban areas has increased from to per live births. The Bongaarts model was applied to estimate the indices of the four main proximate determinants of fertility.   The age at which child bearing begins, influences the number of children a woman bears throughout her reproductive period in the absence of any active fertility control. This study employed both parametric and non-parametric survival analysis techniques, with a cohort of women within the reproductive age ( years), to determine the statistical distribution of the age at first birth of a. Grace Miller “Regression Analysis of the Number of Visits to a Local Forest in Kamcha-I, Thailand in Forest Product Extraction and Motivations for Entry” Sam Purinton “Is Desmond Right? A Regression Analysis on the Determinants of Poverty across the 50 States and DC for the Years , with a Special Focus on Housing Instability”.

micro-economic analysis of the determinants of fertility in Thailand by Mathana Phananiramai. Download PDF EPUB FB2

Drawback of prior research has been the inadequate investigation of the reasons for the differences in fertility and fertility declines across the four regions of Thailand.

The level and pace of the fertility revolution in Thailandhavevaried across regions (sec tables 1 and2). Thissuggests that the determinants mayalso be different. In this article, weattempt a multi- level analysistofurther.

COVID Resources. Reliable information about the coronavirus (COVID) is available from the World Health Organization (current situation, international travel).Numerous and frequently-updated resource results are available from this ’s WebJunction has pulled together information and resources to assist library staff as they consider how to handle coronavirus.

A multi-level analysis of the determinants of fertility in the four regions of Thailand. Chamratrithirong A, Hirschman C, Guest P.

PIP: A multilevel model of macro and micro variables is used to examine the fertility determinants in the 4 regions of Thailand.

The level and pace of fertility decline Cited by: 6. Schultz Fertility Patterns and Their Determinants in the Arab Middle East, RMFF (Santa Monica, Calif.: The Rand Corporation, May ). The Rand Corporation, May ). (Repr. in Economic Development and Population Growth in the Middle East, ed. Charles A.

Cooper and Sidney S. Alexander (New York: American Elsevier, ) pp. Cited by: The Determinants of Fertility in Southeast and South Asian Countries: An Analysis of Panel Data Teguh, Dartanto Institute for Economic and Social Research (LPEM FEUI), Department of Economics, University of Indonesia Online at MPRA Paper No.posted 18 Sep UTC.

Determinants of Fertility in Developing Countries: A Summary of Knowledge Determinants of Fertility in Developing Countries: A Summary of Knowledge, National Research Council (U.S.). Panel on Fertility Determinants Issue 15 of National Research Council Studies in population: Contributor: National Research Council (U.S.).

Panel on Fertility. An Econometric Analysis of the Determinants of Fertility: International Evidence Wun Kim Yen, Ratneswary Rasiah, Jason James Turner Taylor’s Business School, Taylor’s University, Malaysia Abstract — This study aims to analyse the socio and macroeconomic determinants of fertility in countries across the globe.

An Econometric Analysis of the Determinants of Fertility for China, – Journal of Chinese Economic and Business Studies: Vol. 4, No. 2, pp. ECONOMIC ANALYSIS OF FERTILITY control. "Human nature" no longer guarantees that a growth in income appreciably above the subsistence level results in a large inadvertent increase in fertility.

COST In principle the net cost of children can be easily computed. It equals the present value of expected outlays plus the imputed value of the. Description Fertility, Biology, and Behavior: An Analysis of the Proximate Determinants presents the proximate determinants of natural fertility.

This book discusses the biological and behavioral dimensions of human fertility that are linked to intermediate fertility variables. Request PDF | An Econometric Analysis of the Determinants of Fertility for China, | This study investigates the determinants of the fertility rate in China over the – period.

Bongaarts et al. () enumerated nine proximate determinants of fertility: percentage of women in sexual union, frequency of sexual intercourse, postpartum abstinence, lactational amenorrhea, contraceptive use, induced abortion, spontaneous intrauterine mortality, natural sterility, and.

pathological sterility. This paper provides an analysis of the socioeconomic and proximate determinants of fertility in the Philippines, using the National Demographic and Health Survey (NDHS) data. Downloadable (with restrictions). This paper is an economics-based quantitative analysis of the determinants of individual fertility in Vietnam, measured as the number of children ever born.

In addition to the conventional linear model, two limited dependent variable models, Poisson and ordered-logit, are estimated using data from the Vietnam Demographic and Health Survery.

The Economic Determinants of Fertility Choices. Introduction. A key contributor to economic growth is population growth. But developed countries are failing to achieve even the replacement level of the total fertility rate (TFR)1: About live births per woman over her lifetime.

America’s TFR averaged just below during the last two decades whereas Europe’s maxed out at Background: During the last three decades, the Total Fertility Rate (TFR) in Iran has fallen considerably; from per woman in to in This paper analyzes the extent to which economic determinants at the micro and macro levels are associated with the number of.

pleted fertility which has been explained by various sociodemographic models has remained unimpressive. Partly in response to the relative failure of alternative explanations of fertility dif-ferentials and trends, numerous economists began, in the late s, to apply economic theory to the analysis of fertility.

The ASEAN countries have been experiencing drastic declines in fertility of more than 10 percent, particularly since the s. Though the literature on fertility has clearly delineated the importance of income, female labor force participation and infant mortality as key determinants of fertility rates (FRs), the empirical findings from previous studies remains at best mixed.

The effects on fertility of its 3 major proximate determinants were examined -- marriage, contraception, and postpartum infecundability.

The model of Bongaarts was applied both at the national level and for residence and education subgroups of 29 World Fertility Surveys (WFSs). Using this large body of data, both methodological and substantive issues were addressed.

The prominent demographic characteristics in this region are both high fertility and high infant mortality rate, but the trend tends to decrease rapidly. Total fertility rate for Southeast Asia in the late s was births per woman while in the fertility rate was births per woman. Bongaarts and Potter () developed a model to quantify the effects of the six proximate determinants that in their analysis had the most important influences on fertility levels: union patterns, contraception, lactational amenorrhea and postpartum abstinence, pathological sterility, and abortion (Bongaarts, ; Bongaarts et al., ).

This paper reports the first set of estimates of the socioeconomic determinants of fertility in China using micro-data available from China's In-Depth Fertility Survey. Based on existing microeconomic theories of fertility, an econometric model was specified and estimated. The results indicate that even after age, marriage duration and child mortality are taken into account, education.

This report tries to explain observed changes in fertility rates across OECD countries, with an emphasis on socio-economic considerations.

It aims to extend the understanding of fertility-related behaviours in different ways: first, by explaining recent developments in fertility rates and their relationships to other social drivers; second, by developing and testing new and expanded models to. An Analysis of the Determinants of Fertility Differentials Amongst the Poorest Women Population in Kenya.

International Journal of Statistical Distributions and Applications. Vol. 5, No. 3,pp. doi: / Surveys the first generation of theoretical and empirical research on the determinants of parent demand for children, discussing the strengths and shortcomings of the state of the art in economic analyses of fertility determinants.

Some of the emerging elements of a theory of fertility. Source: Bongaarts'9 and United Nations.2° Proximate Determinants of Fertility 7r v mE r O d°3 3 r -a 1.' s 1.' r 6 5 4 2 1 0 10 20 30 40 50 60 70 60 Contraceptive Prevalence (Ørcent) FIGURE 2.

Average Fertility Rate in Groups of Countries with Different Levels of Contraceptive Prevalence (Ø. Jenifer E. Allsworth, Marlene B. Goldman, in International Encyclopedia of Public Health (Second Edition), Fertility and Fertility Control. Fertility is the total number of births that each woman would have during her lifetime if she bore children at current fertility rates.

The number of births and age at first birth have lasting socioeconomic consequences in the lives of women. The Multilevel Analysis on the Determinants of. Fertility Desire in China. Jing Xu Center for Population and Development Studies.

Renmin (People’s) University of China. Introduction. The past and present of fertility rate in China. China has experienced the conspicuous fertility decline since ’s due to fertility control policy.

Bio-social determinants of fertility Hans-Peter Kohler,* Joseph Lee Rodgers, Warren B. Miller, Axel Skytthe§ and Kaare Christensen– *Department of Sociology, University of Pennsylvania, PA, Department of Psychology, University of Oklahoma, OK, Transnational Family.

Demand For Alternate Modes Of Transportation On Home-Work Trips: An Empirical Analysis: Miklius, Walter [ E-Mail ] [ Website ] Phananiyama, Mathana T. Summer A Micro-Economic Analysis Of The Determinants Of Fertility In Thailand: Mason, Andrew [ E-Mail ]. national analysis of the contributions to fertility change of each of the proximate determinants of fertility (Bongaarts, ; ).

I then focus on one of the main proximate determinants – induced abortion – in the next two analytic papers. The first of these seeks to establish and further understand the association of unmet need for.DHS ANALYTICAL STUDIES 23 Changes in the DireCt anD inDireCt Determinants of fertility in sub- saharan afri Ca sePtember This publication was produced for review by the United States Agency for International Development.This study investigates the determinants of the fertility rate in China over the period.

Consistent with theory, the key explanatory variables in our fertility model are real per capita income, infant mortality rate, female illiteracy and female labour force participation rates.