Standard

Nonlinear Models of Convergence. / Gluschenko, Konstantin.

Mathematical Optimization Theory and Operations Research - 19th International Conference, MOTOR 2020, Revised Selected Papers. ed. / Yury Kochetov; Igor Bykadorov; Tatiana Gruzdeva. Springer Science and Business Media Deutschland GmbH, 2020. p. 207-215 (Communications in Computer and Information Science; Vol. 1275 CCIS).

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

Harvard

Gluschenko, K 2020, Nonlinear Models of Convergence. in Y Kochetov, I Bykadorov & T Gruzdeva (eds), Mathematical Optimization Theory and Operations Research - 19th International Conference, MOTOR 2020, Revised Selected Papers. Communications in Computer and Information Science, vol. 1275 CCIS, Springer Science and Business Media Deutschland GmbH, pp. 207-215, 19th International Conference on Mathematical Optimization Theory and Operations Research,MOTOR 2020, Novosibirsk, Russian Federation, 06.07.2020. https://doi.org/10.1007/978-3-030-58657-7_18

APA

Gluschenko, K. (2020). Nonlinear Models of Convergence. In Y. Kochetov, I. Bykadorov, & T. Gruzdeva (Eds.), Mathematical Optimization Theory and Operations Research - 19th International Conference, MOTOR 2020, Revised Selected Papers (pp. 207-215). (Communications in Computer and Information Science; Vol. 1275 CCIS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-58657-7_18

Vancouver

Gluschenko K. Nonlinear Models of Convergence. In Kochetov Y, Bykadorov I, Gruzdeva T, editors, Mathematical Optimization Theory and Operations Research - 19th International Conference, MOTOR 2020, Revised Selected Papers. Springer Science and Business Media Deutschland GmbH. 2020. p. 207-215. (Communications in Computer and Information Science). doi: 10.1007/978-3-030-58657-7_18

Author

Gluschenko, Konstantin. / Nonlinear Models of Convergence. Mathematical Optimization Theory and Operations Research - 19th International Conference, MOTOR 2020, Revised Selected Papers. editor / Yury Kochetov ; Igor Bykadorov ; Tatiana Gruzdeva. Springer Science and Business Media Deutschland GmbH, 2020. pp. 207-215 (Communications in Computer and Information Science).

BibTeX

@inproceedings{c447c429e08447e89d0ef2d29c65523f,
title = "Nonlinear Models of Convergence",
abstract = "A significant issue in studies of economic development is whether economies (countries, regions of a country, etc.) converge to one another in terms of per capita income. In this paper, nonlinear asymptotically subsiding trends of the income gap in a pair of economies model the convergence process. A few specific forms of such trends are proposed: log-exponential trend, exponential trend, and fractional trend. A pair of economies is deemed converging if time series of their income gap is stationary about any of these trends. To test for stationarity, standard unit root tests are applied with non-standard test statistics that are estimated for each kind of trends.",
keywords = "Income convergence, Nonlinear time-series model, Time series econometrics, Unit root",
author = "Konstantin Gluschenko",
year = "2020",
month = jul,
doi = "10.1007/978-3-030-58657-7_18",
language = "English",
isbn = "9783030586560",
series = "Communications in Computer and Information Science",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "207--215",
editor = "Yury Kochetov and Igor Bykadorov and Tatiana Gruzdeva",
booktitle = "Mathematical Optimization Theory and Operations Research - 19th International Conference, MOTOR 2020, Revised Selected Papers",
address = "Germany",
note = "19th International Conference on Mathematical Optimization Theory and Operations Research,MOTOR 2020 ; Conference date: 06-07-2020 Through 10-07-2020",

}

RIS

TY - GEN

T1 - Nonlinear Models of Convergence

AU - Gluschenko, Konstantin

PY - 2020/7

Y1 - 2020/7

N2 - A significant issue in studies of economic development is whether economies (countries, regions of a country, etc.) converge to one another in terms of per capita income. In this paper, nonlinear asymptotically subsiding trends of the income gap in a pair of economies model the convergence process. A few specific forms of such trends are proposed: log-exponential trend, exponential trend, and fractional trend. A pair of economies is deemed converging if time series of their income gap is stationary about any of these trends. To test for stationarity, standard unit root tests are applied with non-standard test statistics that are estimated for each kind of trends.

AB - A significant issue in studies of economic development is whether economies (countries, regions of a country, etc.) converge to one another in terms of per capita income. In this paper, nonlinear asymptotically subsiding trends of the income gap in a pair of economies model the convergence process. A few specific forms of such trends are proposed: log-exponential trend, exponential trend, and fractional trend. A pair of economies is deemed converging if time series of their income gap is stationary about any of these trends. To test for stationarity, standard unit root tests are applied with non-standard test statistics that are estimated for each kind of trends.

KW - Income convergence

KW - Nonlinear time-series model

KW - Time series econometrics

KW - Unit root

UR - http://www.scopus.com/inward/record.url?scp=85092092468&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-58657-7_18

DO - 10.1007/978-3-030-58657-7_18

M3 - Conference contribution

AN - SCOPUS:85092092468

SN - 9783030586560

T3 - Communications in Computer and Information Science

SP - 207

EP - 215

BT - Mathematical Optimization Theory and Operations Research - 19th International Conference, MOTOR 2020, Revised Selected Papers

A2 - Kochetov, Yury

A2 - Bykadorov, Igor

A2 - Gruzdeva, Tatiana

PB - Springer Science and Business Media Deutschland GmbH

T2 - 19th International Conference on Mathematical Optimization Theory and Operations Research,MOTOR 2020

Y2 - 6 July 2020 through 10 July 2020

ER -

ID: 25678235