Omay, Tolga

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https://hdl.handle.net/20.500.14411/7237
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T.,Omay
Omay, Tolga
O., Tolga
Tolga, Omay
Omay,T.
O.,Tolga
T., Omay
Omay T.
Job Title
Profesor Doktor
Email Address
tolga.omay@atilim.edu.tr
Main Affiliation
Economics
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Website
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Scopus Author ID
23978235900
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Google Scholar ID
WoS Researcher ID
GDI-4259-2022

Sustainable Development Goals

2

ZERO HUNGER
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0

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14

LIFE BELOW WATER
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2

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17

PARTNERSHIPS FOR THE GOALS
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7

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5

GENDER EQUALITY
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16

PEACE, JUSTICE AND STRONG INSTITUTIONS
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0

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8

DECENT WORK AND ECONOMIC GROWTH
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11

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4

QUALITY EDUCATION
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0

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6

CLEAN WATER AND SANITATION
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0

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7

AFFORDABLE AND CLEAN ENERGY
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3

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10

REDUCED INEQUALITIES
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2

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11

SUSTAINABLE CITIES AND COMMUNITIES
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1

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9

INDUSTRY, INNOVATION AND INFRASTRUCTURE
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3

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1

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0

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3

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2

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12

RESPONSIBLE CONSUMPTION AND PRODUCTION
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1

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13

CLIMATE ACTION
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7

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15

LIFE ON LAND
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1

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Documents

80

Citations

1218

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20

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Documents

72

Citations

1070

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Scholarly Output

65

Articles

55

Views / Downloads

19/0

Supervised MSc Theses

4

Supervised PhD Theses

2

WoS Citation Count

431

Scopus Citation Count

500

WoS h-index

13

Scopus h-index

13

Patents

0

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0

WoS Citations per Publication

6.63

Scopus Citations per Publication

7.69

Open Access Source

32

Supervised Theses

6

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JournalCount
Applied Economics5
Computational Economics5
Springer Proceedings in Business and Economics -- 4th International Conference on Banking and Fice Perspectives, ICBFP 2019 -- 2 May 2019 through 3 May 2019 -- Famagusta -- 2737293
Mathematics3
Environmental Science and Pollution Research2
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Author: Emirmahmutoglu, FurkanHas files: false

Scholarly Output Search Results

Now showing 1 - 6 of 6
  • Thumbnail Image
    Article
    Citation - WoS: 6
    Citation - Scopus: 4
    Is real per capita state personal income stationary? New nonlinear, asymmetric panel-data evidence
    (Wiley, 2020) Emirmahmutoglu, Furkan; Gupta, Rangan; Miller, Stephen M.; Omay, Tolga
    This paper re-examines the stochastic properties of U.S. state real per capita personal income, using new panel unit-root procedures. The new developments incorporate non-linearity, asymmetry, and cross-sectional correlation within panel-data estimation. Including nonlinearity and asymmetry finds that 43 states exhibit stationary real per capita personal income whereas including only nonlinearity produces 42 states that exhibit stationarity. Stated differently, we find that two states exhibit nonstationary real per capita personal income when considering nonlinearity, asymmetry, and cross-sectional dependence.
  • Thumbnail Image
    Article
    Citation - WoS: 11
    Citation - Scopus: 11
    Comparison of Optimization Algorithms for Selecting the Fractional Frequency in Fourier Form Unit Root Tests
    (Routledge Journals, Taylor & Francis Ltd, 2021) Omay, Tolga; Emirmahmutoglu, Furkan; Hussain Shahzad, Syed Jawad
    We compare the performance of unit root tests which include flexible Fourier trends in their testing processes. The algorithms considered are those of Broyden, Fletcher, Goldfarb and Shanno (BFGS), Berndt, Hall, Hall and Hausman (BHHH), Simplex, Genetic and grid search (GS). The simulation results indicate that derivative-free methods, such as Genetic and Simplex, have advantages over hill-climbing methods, such as BFGS and BHHH in providing accurate fractional frequencies for fractional frequency flexible Fourier form (FFFFF) unit root test. When the parameters are estimated under the alternative hypothesis of the FFFFF type of unit root test, the grid search and derivative-free methods provide unbiased and efficient estimations. We also provide the asymptotic distribution of the FFFFF unit root test. We extend the FFFFF unit root test to a panel version in order to increase the power of the test. Finally, the empirical analyses of healthcare convergence show that derivative-free methods, hill climbing and extensive grid searches can be used interchangeably. However, for big data and accurate estimation of the frequency parameters, the Simplex methodology using the bootstrap process is preferred.
  • Thumbnail Image
    Article
    Citation - WoS: 5
    Citation - Scopus: 5
    Nonlinear Error Correction Based Cointegration Test in Panel Data
    (Elsevier Science Sa, 2017) Omay, Tolga; Emirmahmutoglu, Furkan; Denaux, Zulal S.
    We propose a nonlinear error correction-based cointegration test in a panel data setting and provide their small sample properties. (C) 2017 Elsevier B.V. All rights reserved.
  • Thumbnail Image
    Article
    Citation - WoS: 37
    Citation - Scopus: 37
    Structural Break, Nonlinearity and Asymmetry: a Re-Examination of Ppp Proposition
    (Routledge Journals, Taylor & Francis Ltd, 2018) Omay, Tolga; Emirmahmutoglu, Furkan; Hasanov, Mubariz
    In this study, we examine the validity of the PPP proposition for 28 European countries. For this purpose, we propose a new unit root test procedure that allows for both gradual structural breaks and asymmetric nonlinear adjustment towards the equilibrium level. Small-sample properties of the new tests are examined through Monte-Carlo simulations. The simulation results suggest that the new tests have satisfactory size and power properties. We then apply these new tests along with other unit root tests to examine stationarity properties of real exchange rate series of the sample countries. Our tests reject the null of unit root in more cases when compared to alternative tests. Overall, we find that the PPP proposition holds in majority of the European countries examined in this article.
  • Thumbnail Image
    Article
    Citation - WoS: 3
    Citation - Scopus: 9
    Regime Dependent Causality Relationship Between Energy Consumption and Gdp Growth: Evidence From Oecd Countries
    (Routledge Journals, Taylor & Francis Ltd, 2021) Emirmahmutoglu, Furkan; Denaux, Zulal; Omay, Tolga; Tiwari, Aviral Kumar
    This study empirically investigates the energy consumption-GDP growth nexus for the period from 1971 to 2016 for 26 OECD countries. The prevailing studies in the literature use limited econometric methodologies, which may wrongly model the underlying relationship and lead to misleading policy conclusions. Our study utilizes the newest econometric methods to reveal the nonlinear relationships in the long-run. Furthermore, to capture the asymmetric behaviour of regime changes, four residual-based nonlinear cointegration tests are implemented. Finally, a two-regime TAR type of panel threshold VECM model (PTVAR) is estimated for testing the presence of nonlinear short- and long-run causality. Our findings indicate a state-dependent causality between energy consumption and GDP growth.
  • Thumbnail Image
    Article
    Citation - WoS: 15
    Citation - Scopus: 17
    Smooth Break Detection and De-Trending in Unit Root Testing
    (Mdpi, 2021) Emirmahmutoglu, Furkan; Omay, Tolga; Shahzad, Syed Jawad Hussain; Nor, Safwan Mohd
    This study explores the methods to de-trend the smooth structural break processes while conducting the unit root tests. The two most commonly applied approaches for modelling smooth structural breaks namely the smooth transition and the Fourier functions are considered. We perform a sequence of power comparisons among alternative unit root tests that accommodate smooth or sharp structural breaks. The power experiments demonstrate that the unit root tests utilizing the Fourier function lead to unexpected results. Furthermore, through simulation studies, we investigate the source of such unexpected outcomes. Moreover, we provide the asymptotic distribution of two recently proposed unit root tests, namely Fourier-Augmented Dickey-Fuller (FADF) and Fourier-Kapetanios, Shin and Shell (FKSS), which are not given in the original studies. Lastly, we find that the selection of de-trending function is pivotal for unit root testing with structural breaks.