We contribute to the fields of mineral economics, environmental and economic history in two respects: first, we construct a novel time series data set for the levels of aggregates extraction in Serbia between 1973 and 2015; the second, we estimate a change point ordinary least squares regression to model the dynamics of aggregates extraction in the aforementioned period. Our cliometric estimates are in great accordance with the major business cycle facts of the Serbian economy in the last 40 years. The most important policy implication of our results pertains to the potential slowdown of aggregates extraction from the onset of the Great Recession.
Keywords:
Serbia / mineral economics / cliometrics / change point regression / aggregates
Source:
Mining and Metallurgy Engineering Bor, 2017, 1-2, 41-52
TY - JOUR
AU - Andrić, Vladimir
AU - Andrić, Ljubiša
AU - Radulović, Dragan
PY - 2017
UR - https://ritnms.itnms.ac.rs/handle/123456789/443
AB - We contribute to the fields of mineral economics, environmental and economic history in two respects: first, we construct a novel time series data set for the levels of aggregates extraction in Serbia between 1973 and 2015; the second, we estimate a change point ordinary least squares regression to model the dynamics of aggregates extraction in the aforementioned period. Our cliometric estimates are in great accordance with the major business cycle facts of the Serbian economy in the last 40 years. The most important policy implication of our results pertains to the potential slowdown of aggregates extraction from the onset of the Great Recession.
PB - Institut za rudarstvo i metalurgiju, Bor
T2 - Mining and Metallurgy Engineering Bor
T1 - The extraction of aggregates in Serbia, 1973 - 2015: A statistical exploration
EP - 52
IS - 1-2
SP - 41
DO - 10.5937/mmeb1702041A
UR - conv_426
ER -
@article{
author = "Andrić, Vladimir and Andrić, Ljubiša and Radulović, Dragan",
year = "2017",
abstract = "We contribute to the fields of mineral economics, environmental and economic history in two respects: first, we construct a novel time series data set for the levels of aggregates extraction in Serbia between 1973 and 2015; the second, we estimate a change point ordinary least squares regression to model the dynamics of aggregates extraction in the aforementioned period. Our cliometric estimates are in great accordance with the major business cycle facts of the Serbian economy in the last 40 years. The most important policy implication of our results pertains to the potential slowdown of aggregates extraction from the onset of the Great Recession.",
publisher = "Institut za rudarstvo i metalurgiju, Bor",
journal = "Mining and Metallurgy Engineering Bor",
title = "The extraction of aggregates in Serbia, 1973 - 2015: A statistical exploration",
pages = "52-41",
number = "1-2",
doi = "10.5937/mmeb1702041A",
url = "conv_426"
}
Andrić, V., Andrić, L.,& Radulović, D.. (2017). The extraction of aggregates in Serbia, 1973 - 2015: A statistical exploration. in Mining and Metallurgy Engineering Bor
Institut za rudarstvo i metalurgiju, Bor.(1-2), 41-52.
https://doi.org/10.5937/mmeb1702041A
conv_426
Andrić V, Andrić L, Radulović D. The extraction of aggregates in Serbia, 1973 - 2015: A statistical exploration. in Mining and Metallurgy Engineering Bor. 2017;(1-2):41-52.
doi:10.5937/mmeb1702041A
conv_426 .
Andrić, Vladimir, Andrić, Ljubiša, Radulović, Dragan, "The extraction of aggregates in Serbia, 1973 - 2015: A statistical exploration" in Mining and Metallurgy Engineering Bor, no. 1-2 (2017):41-52,
https://doi.org/10.5937/mmeb1702041A .,
conv_426 .
