Relevant bibliographies by topics / Fertility – Econometric models

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Fertility – Econometric models'

Author: Grafiati
Published: 10 March 2023
Last updated: 31 July 2025

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Journal articles on the topic "Fertility – Econometric models"

1

Kim Yen, Wun, Ratneswary Rasiah, and Jason James Turner. "An Econometric Analysis of the Determinants of Fertility: International Evidence." Journal of International Business, Economics and Entrepreneurship 3, no. 1 (2018): 1. http://dx.doi.org/10.24191/jibe.v3i1.14434.

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This study aims to analyse the socio and macroeconomic determinants of fertility in 108 countries across the globe. Focusing on the variables of inflation, income, education level and urbanization, this study employs the cross-sectional econometrics technique of Ordinary Least Squares to analyse the causal relationship between these variables and fertility. The empirical results reveal a significant and negative relationship between income and fertility in the overall model of the 108 countries, as well as in the models involving developing countries, and countries in the African, American and
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Barbieri, Laura. "Causality and interdependence analysis in linear econometric models with an application to fertility." Journal of Applied Statistics 40, no. 8 (2013): 1701–16. http://dx.doi.org/10.1080/02664763.2013.793660.

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Haque, Ismail, Dipendra Nath Das, and Priyank Pravin Patel. "Reading the geography of India’s district-level fertility differentials: a spatial econometric approach." Journal of Biosocial Science 51, no. 5 (2019): 745–74. http://dx.doi.org/10.1017/s0021932019000087.

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AbstractIndia has gradually progressed into fertility transition over the last few decades. However, the timing and pace of this transition has varied notably in terms of both its geography and the demographic groups most affected by it. While much literature exists on the relationships between fertility level and its influence on demographic, economic, socio-cultural and policy-related factors, the potential spatial variations in the effects of these factors on the fertility level remain unaddressed. Using the most recent district-level census data (of 2011) for India, this nationwide study h
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Sakhbetdinova, Kamilya. "Determinants of fertility in Russian families." Moscow University Economics Bulletin 2020, no. 6 (2020): 104–23. http://dx.doi.org/10.38050/01300105202066.

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Competent demographic policy implies an understanding by the state of the economic, social, and demographic processes taking place in society. In earlier Russian and foreign studies, the authors found a number of fertility factors, however, the direction of influence of such determinants could be opposite. Aware of the special influence of sociocultural attitudes and values of the population on the number of children in a family, the author made an attempt to identify the determinants of fertility based on an empirical study of the World Values Survey. Using statistical and econometric methods
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Saidova, Munisa, Akram Yadgarov, Dilrabo Kodirova, Jamol Turdialiev, and Gulayxan Embergenova. "Econometric analysis of the influence of climate characteristics on the ecological condition of soils and the productivity of agricultural crops." E3S Web of Conferences 377 (2023): 03017. http://dx.doi.org/10.1051/e3sconf/202337703017.

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An increase in air temperature causes water loss from irrigated areas due to evaporation. Such changes, in turn, increase the water demand of crops. High air temperature accelerates the natural decomposition of organic matter and causes a decrease in soil fertility. Furthermore, the probability of the spread of plant pests and diseases increases. This article presents an econometric analysis of the influence of climate characteristics on the ecological status of soils and the productivity of agricultural crops. The results of econometric modeling show that the constructed models can be used to
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Chanu, Naorem Pushparani, and Rabichandra Singh Elangbam. "Assessing Fertility Behaviours In Manipur: Examining The 'Hills'-'Plains' Dichotomy." Migration Letters 21, S6 (2024): 1838–49. http://dx.doi.org/10.59670/ml.v21is6.8588.

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The latest data from the National Family Health Survey (NFHS-5) indicates that the total fertility rate (TFR) of Manipur is close to replacement level, standing at 2.2 children per woman. However, there's a notable contrast in TFR between the 'hill' and 'plain' regions within the state, which forms the major focus of this paper. Our study has two main objectives: firstly, to discern the determinants of TFR in Manipur and their divergence between the 'hills' and 'plains'; and secondly, to examine whether a preference exists for a specific sex of a child and its impact on a mother's future ferti
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Dimoso, Romanus. "Enduring Economic Hardship: How Poverty Shapes Fertility in Tanzania." NG Journal of Social Development 13, no. 2 (2024): 123–41. http://dx.doi.org/10.4314/ngjsd.v13i2.9.

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This study investigates the impact of poverty on fertility among women in the Ubungo district of Dar es Salaam, Tanzania. Utilizing a cross-sectional design, the research focuses on women of reproductive age (15-49 years). Data werecollected via questionnaires from 96 respondents selected through stratified and simple random sampling. The analysis encompassed both descriptive statistics—mean, standard deviation, frequencies, and percentages—and econometric analysis using probit regression and Zero Inflated Poisson (ZIP) models. The first objective examined the determinants of poverty through t
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Nickayin, Samaneh Sadat, Francesco Chelli, Rosario Turco, Bogdana Nosova, Chara Vavoura, and Luca Salvati. "Economic Downturns, Urban Growth and Suburban Fertility in a Mediterranean Context." Economies 10, no. 10 (2022): 252. http://dx.doi.org/10.3390/economies10100252.

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Despite the wealth of micro–macro data on short-term demographic dynamics, the impact of metropolitan growth and economic downturns on local fertility is still under-investigated in advanced economies. Recent studies in low-fertility contexts have assumed suburban birth rates as being systematically higher than urban and rural rates. This assumption (hereafter, known as the ‘suburban fertility hypothesis’) was grounded on stylized facts and spatial regularities that imply a significant role of both macro (contextual) and micro (behavioral) factors positively influencing fertility in suburban l
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Матюшенко, С. И., Д. А. Пяткина, Л. В. Дзугаева, and С. Ф. Захарова. "Econometric study of the influence of socio-economic factors on the birth rate in Russia." Экономика и предпринимательство, no. 2(139) (May 15, 2022): 74–79. http://dx.doi.org/10.34925/eip.2022.139.2.011.

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Объектом исследования в данной работе является рождаемость на территории Российской Федерации в период с 1996 года по настоящее время. Цель исследования - выявление тенденций и определение основных факторов, влияющих на рождаемость в стране. В ходе исследования была проанализирована динамика рождаемости в России за последние 25 лет. Выявлены основные факторы социально-экономического развития, влияющие на рождаемость. Построены регрессионные модели, отражающие зависимость показателей рождаемости от этих факторов. Исследование проводилось методами многомерного статистического анализа на основе д
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Coale, Ansley. "G. M. Farooq and G. B. Simmons (eels.). Fertility in Developing Countries. London: The MacMillan Press (for the International Labour Office). 1985. xXiii + 533 pp." Pakistan Development Review 26, no. 1 (1987): 119–20. http://dx.doi.org/10.30541/v26i1pp.119-120.

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In 1972 the United Nations Fund for Population Activities initiated support for a programme of research within the International Labour Organization on population and employment. Determinants of fertility have been a major theme in this research programme, as is evident in an earlier Progress Report on the programme [3]. The book here reviewed is an attempt to distil some general conclusions from this research, and to present ideas and evidence not included in the 1982 publication. The first section of the book contains a summary of theories of fertility determination; a brief description of t
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Dissertations / Theses on the topic "Fertility – Econometric models"

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CAVALLINI, Flavia. "Essays in applied microeconometrics : fertility, nutrition, and gender representation." Doctoral thesis, European University Institute, 2022. http://hdl.handle.net/1814/74600.

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Defence date: 10 June 2022<br>Examining Board: Prof. Thomas Crossley (EUI, Supervisor); Prof. Alessandro Tarozzi (EUI, Co-Supervisor); Prof. Nadia Campaniello (University of Torino and Collegio Carlo Alberto); Prof. Emilia Del Bono (ISER, University of Essex)<br>This thesis is composed of three independent essays in applied microeconomics. The first contributes to the field of labor and health economics and analyzes the effect of local unemployment rates on fertility rates, abortion rates, and the abortions to pregnancies ratio. The second chapter speaks to health and development economics lit
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VURI, Daniela. "Fertility and divorce." Doctoral thesis, 2003. http://hdl.handle.net/1814/5107.

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Defence date: 12 May 2003<br>Examining board: Prof. Andrea Ichino, EUI, Supervisor ; Prof. Frank Vella, EUI ; Prof. Daniela Del Boca, Università di Torino ; Prof. John Ermisch, ISER, Essex<br>PDF of thesis uploaded from the Library digitised archive of EUI PhD theses completed between 2013 and 2017
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Books on the topic "Fertility – Econometric models"

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C, Gulati S. Fertility in India: An econometric analysis of a metropolis. Sage Publications, 1988.

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2

Bilsborrow, Richard E. Community and institutional influence on fertility: Analytical issues. International Labour Office, 1987.

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Day, Creina. Will fertility rebound in Japan? Australia-Japan Research Centre, 2012.

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Osili, Una Okonkwo. Does female schooling reduce fertility?: Evidence from Nigeria. National Bureau of Economic Research, 2007.

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Bloom, David E. Child support and fathers' remarriage and fertility. National Bureau of Economic Research, 1996.

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6

Adolf, Wagner, ed. Fertilitätsentscheidungen und Bevölkerungsentwicklung: Beiträge zur mikroökonomischen Fertilitätstheorie und Untersuchung ihrer Relevanz unter den ordnungspolitischen Gegebenheiten der DDR. Francke, 1991.

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Arroyo, Cristino R. Economic approaches to modeling fertility determinants: A selective review. Population and Human Resources Dept., World Bank, 1993.

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8

d'Agliano, Centro Studi Luca, ed. Optimal taxation of capital income in models with endogenous fertility. Centro Studi Luca d'Agliano, 2007.

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9

Benefo, Kofi Darkwa. Determinants of fertility and child mortality in Côte d'Ivoire and Ghana. The World Bank, 1994.

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10

Rose, Andrew. Fertility and the real exchange rate. National Bureau of Economic Research, 2007.

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Book chapters on the topic "Fertility – Econometric models"

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Miranda, Alfonso. "Econometric models of fertility." In Handbook of Research Methods and Applications in Empirical Microeconomics. Edward Elgar Publishing, 2021. http://dx.doi.org/10.4337/9781788976480.00012.

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Good, Kayla M., and Anthony M. Maticic Jr. "Socioeconomic Influences on Fertility Rate Fluctuations in Developed and Developing Economies." In Applied Econometric Analysis. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-1093-3.ch007.

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This study investigates what socioeconomic factors determine the varying fertility rates among developed and developing nations and the implications of this information. Social and economic variables are analyzed using a panel of 20 nations with annual data from 1991-2015 to determine the most sizable and significant variables that impact fertility rates. A one-way fixed effects model is utilized. This study includes an aggregate model as well as two models isolating the fertility rates of developed nations and of developing nations, in accordance with Chow-Test results. The results find that
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Chiappori, Pierre-André. "Conclusion." In Matching with Transfers. Princeton University Press, 2017. http://dx.doi.org/10.23943/princeton/9780691171739.003.0008.

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This concluding chapter discusses the progress that has been made with matching models on both the theoretical and the empirical front. Regarding theory, the power and the limits of the transferable utility (TU) model are now better understood. The TU framework can (admittedly under specific assumptions on preferences) encompass most aspects of family economics, including fertility, domestic production, risk sharing, and the consumption of public commodities. On the empirical side, the econometrics of matching models have seen several major advances, with the Choo-Siow model as a prime example
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Conference papers on the topic "Fertility – Econometric models"

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Shubat, Oksana, and Anna Bagirova. "The Use Of Econometric Models In The Study Of Demographic Policy Measures (Based On The Example Of Fertility Stimulation In Russia)." In 31st Conference on Modelling and Simulation. ECMS, 2017. http://dx.doi.org/10.7148/2017-0047.

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Kowarsch, Dandan, and Jingyu Wang. "The Impact of Refugees on Economic Growth in Latin America and the Caribbean." In 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022). AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1002294.

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The aim of this article is to explore the relationship between refugees and the host country’s economic growth in Latin America and the Caribbean using a simulation modeling approach. There is a large body of work on the topic using statistics. However, one big challenge of conducting econometrics methods to unveil any correlation is that regressions are data dependent. Since the current available refugee data doesn’t truly represent the reality as there has been a quite substantial number of unregistered Venezuelan refugees in Latin America and Caribbean region since 2015. Using agent-based s
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