Relevant bibliographies by topics / Demography – Econometric models

Academic literature on the topic 'Demography – Econometric models'

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Published: 10 March 2023

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Journal articles on the topic "Demography – Econometric models"

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Braz-Golgher, André. "Associations between household arrangements for couples and satisfaction with life." Papeles de Población 27, no. 109 (December 31, 2021): 91–118. http://dx.doi.org/10.22185/24487147.2021.109.23.

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This paper investigated the relationship between marital arrangements and satisfaction with life in Brazil. Initially, household arrangements with couples in Brazil were classified into seven different groups: one for marriage or relationships indistinguishable from marriage, and six for consensual unions. This allowed the paper to empirically address the natural heterogeneity of marriage and cohabitation and their relationship to levels of satisfaction with life. Then, taking into account the fact that these associations are plagued by endogeneity, econometric models addressed whether the different household arrangements were correlated with different levels of satisfaction with life. After this, the reverse link was also analyzed with the use of econometric models. The results suggest that household arrangement types were weakly or non-significantly correlated with the levels of life satisfaction. Conversely, life satisfaction levels were significant-ly correlated with the different types of household arrangements.
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CARP, Ana. "Models of Analysis of the Social Security System’s Financial Balance." New Challenges in Accounting and Finance 2 (September 2019): 1–10. http://dx.doi.org/10.32038/ncaf.2019.02.01.

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The financial balance of each country's social security system is a concern for countries, professional groups, and individuals. If the first social security systems were based on the principle of social solidarity and objectively the financial resources collected from the active generations were sufficient to cover the risks of the social security branches, nowadays the supporters of this principle are fewer. An objective problem is also the achievement of the system maturity state that occurs after 60-70 years after the scheme’s development that is almost after a period equal to a generation’s age. For the projection of social security models, demographic, economic, fiscal and legislative variables are typically used. In this article, the researcher approached the social security models. Since between social security and demography there is a biunique relationship, the researcher presented econometric and OLG models.
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Aguilar Gutiérrez, Genaro. "Capacidad tributaria y finanzas públicas metropolitanas en México / Fiscal Capacity and Metropolitan Public Finances in Mexico." Estudios Demográficos y Urbanos 25, no. 1 (January 1, 2010): 103. http://dx.doi.org/10.24201/edu.v25i1.1369.

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En este artículo se examinan los factores determinantes de la capacidad tributaria del Distrito Federal y 25 municipios en tres zonas metropolitanas de México. Se presentan algunos modelos que han sido formulados en la literatura internacional de frontera para cuantificar el potencial de obtención de recursos tributarios. Su principal contribución consiste en aplicar un modelo econométrico robusto, el Modelo de Frontera Estocástica, para medir la capacidad de obtención de recursos fiscales en tres zonas metropolitanas de México y cuantificar el grado de esfuerzo fiscal desplegado por 25 municipios y el Distrito Federal durante el periodo 1992-2007. AbstractThis article examines the factors that determine the tax capacity of the Federal District and 25 municipalities in three metropolitan zones in Mexico. The author presents models that have been formulated in international frontier literature to determine the potential for obtaining tax resources. His main contribution involves implementing a robust econometric model, the Stochastic Frontier Model to measure the capacity for obtaining resources in three metropolitan zones in Mexico and determine the degree of fiscal effort made by 25 municipalities and the Federal District during the period from 1992 to 2007.
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Andrei, Jean Vasile, Luminita Chivu, Rodica-Manuela Gogonea, Silvia Elena Iacob, Aurelia Patrascu, Constanta Popescu, Mile Vasic, and Marian Zaharia. "BUSINESS DEMOGRAPHY AND ECONOMIC GROWTH: SIMILARITIES AND DISPARITIES IN 10 EUROPEAN UNION COUNTRIES." Journal of Business Economics and Management 22, no. 5 (August 30, 2021): 1160–88. http://dx.doi.org/10.3846/jbem.2021.15067.

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The main research aim is to investigate and test the long-term existence of a balanced relationship (cointegration) between business demographics and economic growth, expressed in terms of real GDP per capita, and to estimate the econometric models expressing relationships between analyzed variables in European economy. Our The study has focused on ten out of the eleven former communist countries, currently members of the European Union, during the 2006–2016 time period. Croatia was left out due to the shortness of the time series available for it, that the study would have required. These findings have significant implications in designing and shaping the future business models in European former communist countries, and increase convergence. The results obtained confirm the existence of long-term balanced relationships between the variables examined, the forms of which however vary from one cluster of states to another.
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Andrei, Jean Vasile, Luminita Chivu, Ileana Georgiana Gheorghe, Aleksandar Grubor, Teodor Sedlarski, Violeta Sima, Jonel Subić, and Mile Vasic. "Small and Medium-Sized Enterprises, Business Demography and European Socio-Economic Model: Does the Paradigm Really Converge?" Journal of Risk and Financial Management 14, no. 2 (February 4, 2021): 64. http://dx.doi.org/10.3390/jrfm14020064.

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Although the European business environment induces important premises and assures conditions in determining economic growth and social well-being, the determinant and existent connections between the evolution of small and medium-sized enterprises (SMEs), business demography characteristics and the European socio-economic model have been scarcely studied in recent years. The dimensions of the European socio-economic model design a very specific framework in developing business demography and assuring a favorable environment for future SME development. The main aim of the manuscript is to investigate the evolution of the European SMEs sector and the perspective of business demography evolution to converge with exigencies of the European socio-economic model. In order to argue the research objective, eight specific and representative business demography variables were employed, from 12 European Union member states (EU-MS), during 2009–2017. Further, the SMEs’ performances, determined by changing the economic functional paradigm, were assessed. For proving this, an econometric model was designed considering labor productivity as an endogenous variable. Our preliminary analysis shows considerable differences in business demography indicators and SMEs development among all five socio-economic sub-models of the main European socio-economic model, proving a tight connection between European socio-economic models and SMEs’ performance and arguing the necessity of a paradigm convergence. Within some sub-models, there is clear evidence of clustering and convergence in terms of business demography and SMEs future development.
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Kuethe, Todd Henry. "International Real Estate Review." International Real Estate Review 14, no. 1 (April 30, 2011): 118–29. http://dx.doi.org/10.53383/100136.

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This study evaluates the ability of a range of popular aggregate house price indexes to predict house prices out-of- sample at the transaction level for a small geographic area. The analysis particularly addresses the utility of spatial econometric methods. The results suggest that spatial econometric methods, which more explicitly consider the spatial aspects of observed house prices, provide better predictive accuracy as compared to more traditional estimation techniques, such as the repeat sales index, a hybrid repeat sales-hedonic price index, and hedonic price models estimated through least squares. The conclusions are drawn from a sample of 38,984 single-family residential real estate transactions for the city of Milwaukee, Wisconsin over the years 2002-2008.
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Tikhomirov, N. P., and T. M. Tikhomirova. "ASSESSING AND MANAGING THE REPRODUCTION POTENTIAL OF RUSSIA." Federalism, no. 3 (September 16, 2019): 51–71. http://dx.doi.org/10.21686/2073-1051-2019-3-51-71.

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At present Russian Federation in a whole and most of its regions face the problem of justifying the social and economic policy, that ensures the shift from prolonged depopulation to the regime of expanded reproduction of the population. The proposed methodology for such a justification is based on the designing the econometric models, that describe the patterns of objective indicators of population’s natural movement intensity, depending on the main “material” factors, determining the characteristics of its demographic behavior (standard of living, health care expenditures, payments for children, etc.). As such indicators, it is proposed to use the marginal growth rate or its refined modifications, which are calculated only on the basis of sex-age-specific fertility and mortality rates and do not depend on changes in age structures. Such marginal indicators more reliably characterize the potential of self-reproduction of the population in comparison to the total and standardized fertility and mortality rates, commonly used in demography and corresponding to them population growth rates. The paper presents estimates of the marginal rates of natural movement of the Russian population in 1990—2017, which indicate, that the decline in the potential of demographic self-reproduction in the last decade of the 20th century in Russia was quite significant, and the rate of its recovery in the 21st century was not high enough, thus, as a consequence, by 2017 the country had not yet shifted to the regime of expanded reproduction, although in some of its regions such a regime had already been established in 2007—2012. The econometric model, presented in the work, reflecting the dependence of the marginal growth rate of Russian population on the standard of living and the expenditures on demographic policy measures, shows that the shift of the country as a whole to the regime of sustainable extended demographic self-reproduction is possible by 2025—2030, subject to a 2—3% annual increase in the levels of these factors.
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Raya, Josep Maria. "Evaluating Different Housing Prices: Marketing and Financial Distortions." International Real Estate Review 24, no. 4 (December 31, 2021): 549–76. http://dx.doi.org/10.53383/100330.

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The aim of this paper is to evaluate the importance of housing price. We compare the evolution of three different types of housing prices (list, sale and appraisal prices). The objective is to see the marketing and financial consequences of using each type of housing price. To do this, a dataset of a real estate company and its financial intermediary with all of these types of housing prices is used. We estimate econometric models in which the dependent variables are: price (appraisal, selling or list), mark-up, loan to value and foreclosures. The results show evidence of the consequences of using a specific housing price in terms of inflation calculation, financial assets, and collateral valuation and mortgage default, among others.
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Al-Abduljader, Sulaiman T. "International Real Estate Review." International Real Estate Review 22, no. 1 (March 31, 2019): 83–108. http://dx.doi.org/10.53383/100276.

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Regional interdependence among the real estate markets in the Gulf Cooperation Council (GCC) is tested by using a variety of techniques. Econometric tests that involve error correction, symmetric/asymmetric autoregressive distributed lag (ARDL) and structural time series models are utilized. The results reveal the absence of long-run relationships, thus indicating cross-sectional efficiency. However, strong evidence is found for both short and long-run dynamic interdependence when the model allows for asymmetric responses. Finally, the results from the structural time series modeling show that a weak form of interdependence is present, which partly shows that other factors of significant impact explain for the real estate fluctuation other than the corresponding prices of the neighboring countries. Plausible fiscal and monetary policy recommendations are presented.
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Kolosnitsyna, Marina G., and Mikhail Yu Chubarov. "Spread of COVID-19 in the Russian regions in 2020: factors of excess mortality." Population and Economics 6, no. 4 (December 6, 2022): 1–20. http://dx.doi.org/10.3897/popecon.6.e87739.

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The paper identifies major factors associated with the pandemic spread in the Russian regions, using econometric models and nonlinear «Random Forest» models to assess their significance. The study is based on data of the Russian regions for March-December 2020, a balanced panel sample included 780 observations. Prevalence of the pandemic was estimated based on the excess mortality rate. The study has identified a positive relationship between excess mortality and the share of migrants and a negative relationship between excess mortality and the share of pensioners in the region. Importance of climatic factors has been confirmed: high temperatures, other things being equal, reduce excess mortality, while high humidity, on the contrary, increases it. Excess mortality is higher in the regions with lower population mobility. Mortality is higher in the regions with high per capita incomes and regions with significant unemployment. Vice versa, excess mortality is lower in the regions with better doctor and nurse staffing levels. The study results show that in case of repeated waves of the epidemic or emergence of new viruses, public health policy should be geographically differentiated. Priority should be given to epidemiological situation in the regions with humid climate and low temperatures, high incomes, intensive migration, and high unemployment rates. Significant investments in medical education, higher number of medical specialists and their more even distribution across regions are required. This approach turns out to be more effective in terms of reducing mortality rather than restrictions on population mobility.
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Dissertations / Theses on the topic "Demography – Econometric models"

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Miskolczi, Martina. "Vícestavová analýza nezaměstnanosti a další statistické metody pro modelování nezaměstnanosti." Doctoral thesis, Vysoká škola ekonomická v Praze, 2010. http://www.nusl.cz/ntk/nusl-201115.

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Unemployment modelling covers both view of the labour market such as is, economy and knowledge of mathematics, statistics and, thus, econometrics. The importance of unemployment seems to be even more significant after the period of crisis; high unemployment is not only economic burden bud serious social risk and psychological problem as well. In the dissertation thesis, selected models used for unemployment modelling and -- in some cases for its prediction -- are introduced. To be able to predict the future trend of labour market reliably means to be able to plan tools of active and passive employment policies effectively. Alternatively, it means to search programs and supports that help in reduction of unemployment. Specific applications of models for the Czech labour market involve model of multistate life tables, simultaneous econometric models and Phillips curve. Phillips curve of mutual "trade-off" of unemployment and inflation is confirmed in short periods, in longer and long period of time rather fails, it is not reliable. It is not possible to use it for prediction at all; it would be needed to predict inflation. Analogous characteristics has the Beveridge curve. Simultaneous econometric models for number of economically active persons and for unemployment and inflation de facto fail, even though they demonstrate the range of opportunities including point and interval forecasts. Period of economic crisis when changes in labour market principles occur means usually problem for such the models, which work well in periods of stable growth or decline. More, it is difficult to specify these models correctly with regard to threat of multikolinearity. Multistate models aiming at calculation of multistate life tables, or even multistate projection are extremely demanding for input data. But they enable to understand relations or transitions among states, respectively. It is very beneficial tool for comprehension and policy planning in the area of labour market and social affairs in the process of lowering unemployment. Forecasts in such a type of model are possible but difficult because it is necessary to predict probability of transition among states.
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Sarferaz, Samad. "Essays on business cycle analysis and demography." Doctoral thesis, Humboldt-Universität zu Berlin, Wirtschaftswissenschaftliche Fakultät, 2010. http://dx.doi.org/10.18452/16151.

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Diese Arbeit besteht aus vier Essays, die empirische und methodische Beiträge zur Messung von Konjunkturzyklen und deren Zusammenhänge zu demographischen Variablen liefern. Der erste Essay analysiert unter Zuhilfenahme eines Bayesianischen Dynamischen Faktormodelles die Volatilität des US-amerikanischen Konjunkturzyklus seit 1867. In dem Essay wird gezeigt, dass die Volatilität in der Periode vor dem Ersten Weltkrieg und nachdem Zweiten Weltkrieg niedriger war als in der Zwischenkriegszeit. Eine geringere Volatilität für die Periode nach dem Zweiten Weltkrieg im Vergleich zu der Periode vor dem Ersten Weltkrieg kann nicht bestätigt werden. Der zweite Essay hebt die Bayesianischen Eigenschaften bezüglich dynamischer Faktormodelle hervor. Der Essay zeigt, dass die ganze Analyse hindurch - im Gegensatz zu klassischen Ansätzen - keine Annahmen an die Persistenz der Zeitreihen getroffen werden muss. Des Weiteren wird veranschaulicht, wie im Bayesianischen Rahmen die Anzahl der Faktoren bestimmt werden kann. Der dritte Essay entwickelt einen neuen Ansatz, um altersspezifische Sterblichkeitsraten zu modellieren. Kovariate werden mit einbezogen und ihre Dynamik wird gemeinsam mit der von latenten Variablen, die allen Alterklassen zugrunde liegen, modelliert. Die Resultate bestätigen, dass makroökonomische Variablen Prognosekraft für die Sterblichkeit beinhalten. Im vierten Essay werden makroökonomischen Zeitreihen zusammen mit altersspezifischen Sterblichkeitsraten einer strukturellen Analyse unterzogen. Es wird gezeigt, dass sich die Sterblichkeit von jungen Erwachsenen in Abhängigkeit von Konjunkturzyklen deutlich von den der anderen Alterklassen unterscheidet. Daher sollte in solchen Analysen, um Scheinkorrelation vorzubeugen, zwischen den einzelnen Altersklassen differenziert werden.
The thesis consists of four essays, which make empirical and methodological contributions to the fields of business cycle analysis and demography. The first essay presents insights on U.S. business cycle volatility since 1867 derived from a Bayesian dynamic factor model. The essay finds that volatility increased in the interwar periods, which is reversed after World War II. While evidence can be generated of postwar moderation relative to pre-1914, this evidence is not robust to structural change, implemented by time-varying factor loadings. The second essay scrutinizes Bayesian features in dynamic index models. The essay shows that large-scale datasets can be used in levels throughout the whole analysis, without any pre-assumption on the persistence. Furthermore, the essay shows how to determine the number of factors accurately by computing the Bayes factor. The third essay presents a new way to model age-specific mortality rates. Covariates are incorporated and their dynamics are jointly modeled with the latent variables underlying mortality of all age classes. In contrast to the literature, a similar development of adjacent age groups is assured, allowing for consistent forecasts. The essay demonstrates that time series of covariates contain predictive power for age-specific rates. Furthermore, it is observed that in particular parameter uncertainty is important for long-run forecasts, implicating that ignoring parameter uncertainty might yield misleadingly precise predictions. In the fourth essay the model developed in the third essay is utilized to conduct a structural analysis of macroeconomic fluctuations and age-specific mortality rates. The results reveal that the mortality of young adults, concerning business cycles, noticeably differ from the rest of the population. This implies that differentiating closely between particular age classes, might be important in order to avoid spurious results.
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ROJAS, Juan A. "Essays on fiscal policy, education and population dynamics." Doctoral thesis, 1999. http://hdl.handle.net/1814/5050.

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Defence date: 29 January 1999
Examining board: Prof. Giuseppe Bertola, European University Institute ; Prof. Ramon Marimon, European University Institute, Supervisor ; Prof. José-Victor Rios-Rull, University of Pennsylvania ; Prof. Kjetil Storeslettenh, IIES, Stockholm
PDF of thesis uploaded from the Library digitised archive of EUI PhD theses completed between 2013 and 2017
-- Skill premium and demographic change : an OLG model -- On the interaction between education and social security -- Progressive vs. proportional taxation : implications for the social security system
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Konířová, Kristýna. "Analýza vlivu stárnutí populace na výdaje v oblasti zdravotnictví ve vybraných zemích Commonwealthu." Master's thesis, 2014. http://www.nusl.cz/ntk/nusl-332111.

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Analysis of the impact of ageing on health care spending in selected countries of the Commonwealth Abstract This thesis examines and analyses development of population ageing in Australia, Canada and New Zealand and especially its impact on the spending in the sector of health care. It includes comparison of demographic trends and description of health care systems in selected countries. The analysis is then processed by an econometric model focused on the impact of population ageing on government spending and spending of the private sector on health care through life expectancy at birth, ratio of population aged 65 years and above and other indicators. The modelling is carried out using linear regression, vector autoregression and fixed effects model in panel data. The results show that population ageing indeed affects through different intensity both government and private sector spending on health care in Australia, Canada and New Zealand.
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Li, Li. "Spatio-temporal analyses of the distribution of alcohol outlets in California." Thesis, 2014. http://hdl.handle.net/1805/6463.

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Indiana University-Purdue University Indianapolis (IUPUI)
The objective of this research is to examine the development of the California alcohol outlets over time and the relationship between neighborhood characteristics and densities of the alcohol outlets. Two types of advanced analyses were done after the usual preliminary description of data. Firstly, fixed and random effects linear regression were used for the county panel data across time (1945-2010) with a dummy variable added to capture the change in law regarding limitations on alcohol outlets density. Secondly, a Bayesian spatio-temporal Poisson regression of the census tract panel data was conducted to capture recent availability of population characteristics affecting outlet density. The spatial Conditional Autoregressive model was embedded in the Poisson regression to detect spatial dependency of unexplained variance of alcohol outlet density. The results show that the alcohol outlets density reduced under the limitation law over time. However, it was no more effective in reducing the growth of alcohol outlets after the limitation was modified to be more restrictive. Poorer, higher vacancy rate and lower percentage of Black neighborhoods tend to have higher alcohol outlet density (numbers of alcohol outlets to population ratio) for both on-sale general and off-sale general. Other characteristics like percentage of Hispanics, percentage of Asians, percentage of younger population and median income of adjacency neighbors were associated with densities of on-sale general and off sale general alcohol outlets. Some regions like the San Francisco Bay area and the Greater Los Angeles area have more alcohol outlets than the predictions of neighborhood characteristics included in the model.
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Books on the topic "Demography – Econometric models"

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1948-, Haag G., Mueller Ulrich 1949-, and Troitzsch Klaus G, eds. Economic evolution and demographic change: Formal models in social sciences. Berlin: Springer-Verlag, 1992.

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K, Fleissner Peter, and Adamec Stefan, eds. The transformation of Slovakia: The dynamics of her economy, environment, and demography. Hamburg: Verlag Dr. Kovač, 1994.

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Sonja, Munz, and Gács Vera, eds. Fertility and prosperity: Links between demography and economic growth. München: Ifo Institute for Economic Research at the University of Munich, Dept. of Social Policy and Labour Markets, 2008.

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Williamson, Jeffrey G. Growth, distribution and demography: Some lessons from history. Cambridge, MA: National Bureau of Economic Research, 1997.

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Organisation for Economic Co-operation and Development. Department of Economics and Statistics and Organisation for Economic Co-operation and Development, eds. The Economic dynamics of an ageing population: The case of four OECD countries. [Paris, France]: OECD, 1989.

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National Bureau of Economic Research, ed. The economic dynamics of an ageing population: The case of four OECD countries. Cambridge, MA: National Bureau of Economic Research, 1989.

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Optimal economic growth and non-stable population. Berlin: Springer-Verlag, 1989.

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Batini, Nicoletta. The global impact of demographic change. [Washington, D.C.]: International Monetary Fund, Research Dept., 2006.

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Vigna, Stefano Della. Attention, demographics, and the stock market. Cambridge, Mass: National Bureau of Economic Research, 2005.

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Vigna, Stefano Della. Attention, demographics, and the stock market. Cambridge, MA: National Bureau of Economic Research, 2005.

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Book chapters on the topic "Demography – Econometric models"

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Greenberg, Carol, and Charles Renfro. "An Econometric-Demographic Model of New York State." In Population Change and the Economy: Social Science Theories and Models, 105–25. Dordrecht: Springer Netherlands, 1986. http://dx.doi.org/10.1007/978-94-009-4980-5_5.

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Taylor, Carol. "The Effects of Refining Demographic-Economic Interactions in Regional Econometric Models." In Population Change and the Economy: Social Science Theories and Models, 127–55. Dordrecht: Springer Netherlands, 1986. http://dx.doi.org/10.1007/978-94-009-4980-5_6.

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Karakara, Alhassan Abdul-Wakeel, and Evans S. C. Osabuohien. "Categorical Dependent Variables Estimations With Some Empirical Applications." In Applied Econometric Analysis, 164–89. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-1093-3.ch008.

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Microeconomic datasets are usually large, mainly survey data. These data are samples of hundreds of respondents or group of respondents (e.g., households). The distributions of such data are mostly not normal because some responses/variables are discrete. Handling such datasets poses some problems of summarizing/reporting the important features of the data in estimations. This study concentrates on how to handle categorical variables in estimation/reporting based on theoretical and empirical knacks. This study used Ghana Demographic and Health Survey data for 2014 for illustration and elaborates on how to interpret results of binary and multinomial outcome regressions. Comparison is made on the different binary models, and binary logit is found to be weighted over the other binary models. Multinomial logistic model is best handled when the odds of one outcome versus the other outcome are independent of other outcome alternatives as verified by the Independent of Irrelevant Alternatives (IIA). Conclusions and suggestions for handling categorical models are discussed in the study.
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Geoghegan, Jacqueline, and Laura Schneider. "Spatially Explicit, Statistical Land-Change Models in Data-Sparse Conditions." In Integrated Land-Change Science and Tropical Deforestation in the Southern Yucatan. Oxford University Press, 2004. http://dx.doi.org/10.1093/oso/9780199245307.003.0023.

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A range of research interests beyond global environmental change science increasingly calls for advances in land-change models and, specifically, models that have fine-grained locational outputs. The rationale for such modeling about land change has been articulated elsewhere in this book (Ch. 1; Introduction to Part IV) and need not be reiterated here. It is important to note, however, that advances in question are assisted by the advances in the analytical sophistication of geographical information systems, hardware (GPS) that permits geographical coordinates to be established easily in the field, and for land-change studies, increasing temporal and spatial resolution of satellite imagery. Much of the first phase of land-change models that incorporate these systems and data has been empirical-based, time series assessments, such as Markov-chain models (e.g. Turner 1988), that let the record of land change determine future projections, or the spatial level of assessment has been large-grain (e.g. counties, states, regions). The SYPR project seeks a different approach demonstrated here: to test theories of land change in regard to their ability to explain fine-grained land change in the region at different spatial scales of assessment. Two complementary econometric modeling approaches are used here to investigate the factors that affect deforestation at the regional and household scales of analysis. Both approaches use the individual satellite pixels as the data on land-use change, from the classification of TM imagery described in Ch. 6. A regional model spans the entire study area of agricultural ejidos, and links the satellite imagery with publicly available geophysical data and socio-demographic government census data. The second model focuses exclusively on the parcels associated with the household survey data collected specifically for this project, discussed in Part III, especially Ch. 8. This latter approach uses the same geophysical data of the aggregate approach, but uses the much richer socio-demographic data derived from the linkage of individual farm plots and the satellite imagery via the sketch mapping exercise described in Chs. 8 and 9. While both models take a theoretical approach of individual maximization, they differ in a number of ways, the most important of which is the role of time in the decision-making process.
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Mohapatra, Rama Prasada, and Changshan Wu. "Modeling Urban Growth at a Micro Level." In E-Planning and Collaboration, 41–58. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-5646-6.ch003.

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In this paper, the historical trend of urban growth and the associated drivers were examined through econometric analysis for the rapidly growing Grafton area in the State of Wisconsin. Specifically, panel data analysis was carried out to examine the drivers of urban growth such as demographic factors, location of jobs, travel time, housing types, property values, etc. Results reveal that panel data analysis, particularly the random effects model, was successful in analyzing the drivers of urban growth at the census block group level. This study found that population, local jobs, household income, and house price were positively associated with urban growth. The study also found that urban growth in the study area is not decided by the access to the nearest central city, but other factors, such as the rural atmosphere of the region, local jobs, and emerging centers of employment opportunities, have significant influences on urban development.
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Conference papers on the topic "Demography – Econometric models"

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Emtseva, E. D., E. V. Krasova, and L. S. Mazelis. "The Econometric Model of the Social and Economic Regional Development Impact on Demographic Processes." In Proceedings of the International Science and Technology Conference "FarEastСon" (ISCFEC 2019). Paris, France: Atlantis Press, 2019. http://dx.doi.org/10.2991/iscfec-19.2019.3.

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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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Ivandić, Neven. "DOES TOURISM ACTIVITY AFFECT MIGRATION? EMPIRICAL EVIDENCE FROM CROATIA." In Tourism in Southern and Eastern Europe 2021: ToSEE – Smart, Experience, Excellence & ToFEEL – Feelings, Excitement, Education, Leisure. University of Rijeka, Faculty of Tourism and Hospitality Management, 2021. http://dx.doi.org/10.20867/tosee.06.24.

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Purpose – Since the Census in 2011, Croatia has seen a substantial population decline. Given the high contribution of tourism to the Croatian economy, this paper empirically analyses the relationship between population migration, namely total net migration and net migration abroad, and tourism activity. Methodology – The research design of this paper is based on quantitative econometric panel data analysis using annual data for cities and municipalities in Croatia between 2002 and 2019. A oneway and two-way fixed effects model are used for the estimation of the regression model coefficients. Findings – The set models provide insight into the relationship between net migration or migration abroad and tourism activity. Tourism can be seen as a generator of demographic change, especially in rural and less developed areas, as it generates employment opportunities and, thus, the opportunity for permanent residency. Contribution – The main contribution of this paper is the novel use of such detailed data at the geographical level that spans over two decades. This generates empirical insights that hold high levels of external validity. A further important aspect of the paper is the analysis of the connection between population migration and tourism activity in the context of Croatia's accession to the European Union and verification of the theoretically grounded expectation that tourism activity as pull factor is positively related to population net migration.
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