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Econometric modelling of time series relationship between fertility and income for the Russian population: Methodological issues. / Shubat, Oksana; Bagirova, Anna.
Proceedings - 32nd European Conference on Modelling and Simulation, ECMS 2018. ed. / Alexandra Burger; Jens Wellhausen; Christoph Tholen; Jens Werner; Lars Nolle. European Council for Modelling and Simulation, 2018. p. 20-26.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Harvard

Shubat, O & Bagirova, A 2018, Econometric modelling of time series relationship between fertility and income for the Russian population: Methodological issues. in A Burger, J Wellhausen, C Tholen, J Werner & L Nolle (eds), Proceedings - 32nd European Conference on Modelling and Simulation, ECMS 2018. European Council for Modelling and Simulation, pp. 20-26, 32nd Annual Conference of the European Conference on Modelling and Simulation, ECMS 2018, Wilhelmshaven, Germany, 22/05/2018.

APA

Shubat, O., & Bagirova, A. (2018). Econometric modelling of time series relationship between fertility and income for the Russian population: Methodological issues. In A. Burger, J. Wellhausen, C. Tholen, J. Werner, & L. Nolle (Eds.), Proceedings - 32nd European Conference on Modelling and Simulation, ECMS 2018 (pp. 20-26). European Council for Modelling and Simulation.

Vancouver

Shubat O, Bagirova A. Econometric modelling of time series relationship between fertility and income for the Russian population: Methodological issues. In Burger A, Wellhausen J, Tholen C, Werner J, Nolle L, editors, Proceedings - 32nd European Conference on Modelling and Simulation, ECMS 2018. European Council for Modelling and Simulation. 2018. p. 20-26

Author

Shubat, Oksana ; Bagirova, Anna. / Econometric modelling of time series relationship between fertility and income for the Russian population: Methodological issues. Proceedings - 32nd European Conference on Modelling and Simulation, ECMS 2018. editor / Alexandra Burger ; Jens Wellhausen ; Christoph Tholen ; Jens Werner ; Lars Nolle. European Council for Modelling and Simulation, 2018. pp. 20-26

BibTeX

@inproceedings{ecbe666f9f53449db932a141ac30207b,
title = "Econometric modelling of time series relationship between fertility and income for the Russian population: Methodological issues",
keywords = "Fertility, Income, Modelling, Regression models, Time series",
author = "Oksana Shubat and Anna Bagirova",
year = "2018",
month = jan,
day = "1",
language = "English",
pages = "20--26",
editor = "Alexandra Burger and Jens Wellhausen and Christoph Tholen and Jens Werner and Lars Nolle",
booktitle = "Proceedings - 32nd European Conference on Modelling and Simulation, ECMS 2018",
publisher = "European Council for Modelling and Simulation",
address = "Russian Federation",
note = "32nd Annual Conference of the European Conference on Modelling and Simulation, ECMS 2018 ; Conference date: 22-05-2018 Through 25-05-2018",

}

RIS

TY - GEN

T1 - Econometric modelling of time series relationship between fertility and income for the Russian population: Methodological issues

AU - Shubat, Oksana

AU - Bagirova, Anna

PY - 2018/1/1

Y1 - 2018/1/1

KW - Fertility

KW - Income

KW - Modelling

KW - Regression models

KW - Time series

UR - http://www.scopus.com/inward/record.url?scp=85062841749&partnerID=8YFLogxK

UR - https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=tsmetrics&SrcApp=tsm_test&DestApp=WOS_CPL&DestLinkType=FullRecord&KeyUT=000656119000004

M3 - Conference contribution

AN - SCOPUS:85062841749

SP - 20

EP - 26

BT - Proceedings - 32nd European Conference on Modelling and Simulation, ECMS 2018

A2 - Burger, Alexandra

A2 - Wellhausen, Jens

A2 - Tholen, Christoph

A2 - Werner, Jens

A2 - Nolle, Lars

PB - European Council for Modelling and Simulation

T2 - 32nd Annual Conference of the European Conference on Modelling and Simulation, ECMS 2018

Y2 - 22 May 2018 through 25 May 2018

ER -

ID: 9185860