oil sector is the most effective sector in these countries. oil is the most important product that world industries use as the cheapest energy. the price of oil depends on the world’s supply and demand and many economic, political and geographical variables. this is the reason why the price of oil has fluctuations. the fluctuations in oil price lead to fluctuate in the oil revenues of the membe...

In this study, we develop a novel estimation method for quantile treatment effects (QTE) under rank invariance and stationarity assumptions. Ishihara (2020 Ishihara, T. (2020), “Identification Estimation of Time-Varying Nonseparable Panel Data Models Without Stayers,” Journal Econometrics, 215, 184–208. DOI: https://doi.org/10.1016/j.jeconom.2019.08.008.[Crossref] , [Google Scholar]) explores i...

The software for spatial econometrics available in the R system statistical computing is reviewed. methods are illustrated a historical perspective, highlighting main lines of development and employing historically relevant datasets examples. Estimators tests cross-sectional panel models based either on maximum likelihood or generalized moments presented. paper concluded reviewing some current ...

This paper provides an overview of how to use “big data” for social science research (with emphasis on economics and finance). We investigate the performance ease different Spark applications running a distributed file system enable handling analysis data sets which were previously not usable due their size. More specifically, we explain (i) explore big exceed retail grade computers memory size...

This study examines the contribution of human capital accumulation to regional economic growth using panel data for 82 subjects Russian Federation over 2002–2019. paper aims test hypothesis that in long-run equilibrium there exists a connection between and regions Russia. From point view econometrics, it would mean we should refute is no cointegration time series describing aforementioned varia...

Motivated by features of low latency data in financial econometrics we study in detail integervalued Lévy processes as the basis of price processes for high frequency econometrics. We propose using models built out of the difference of two subordinators. We apply these models in practice to low latency data for a variety of different types of futures contracts.