Omay, Tolga

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Profile URL
https://hdl.handle.net/20.500.14411/7237
Name Variants
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
Status
Website
ORCID ID
Scopus Author ID
23978235900
Turkish CoHE Profile ID
Google Scholar ID
WoS Researcher ID
GDI-4259-2022

Sustainable Development Goals

5

GENDER EQUALITY
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0

Research Products

14

LIFE BELOW WATER
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2

Research Products

10

REDUCED INEQUALITIES
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2

Research Products

3

GOOD HEALTH AND WELL-BEING
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2

Research Products

2

ZERO HUNGER
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0

Research Products

9

INDUSTRY, INNOVATION AND INFRASTRUCTURE
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3

Research Products

16

PEACE, JUSTICE AND STRONG INSTITUTIONS
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0

Research Products

11

SUSTAINABLE CITIES AND COMMUNITIES
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1

Research Products

8

DECENT WORK AND ECONOMIC GROWTH
DECENT WORK AND ECONOMIC GROWTH Logo

11

Research Products

13

CLIMATE ACTION
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7

Research Products

4

QUALITY EDUCATION
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0

Research Products

6

CLEAN WATER AND SANITATION
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0

Research Products

1

NO POVERTY
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0

Research Products

15

LIFE ON LAND
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1

Research Products

17

PARTNERSHIPS FOR THE GOALS
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7

Research Products

7

AFFORDABLE AND CLEAN ENERGY
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3

Research Products

12

RESPONSIBLE CONSUMPTION AND PRODUCTION
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1

Research Products
Documents

80

Citations

1218

h-index

20

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Documents

74

Citations

1075

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Scholarly Output

65

Articles

55

Views / Downloads

19/0

Supervised MSc Theses

4

Supervised PhD Theses

2

WoS Citation Count

435

Scopus Citation Count

503

WoS h-index

13

Scopus h-index

13

Patents

0

Projects

0

WoS Citations per Publication

6.69

Scopus Citations per Publication

7.74

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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End date: 2019Subject: Cross-section dependence

Scholarly Output Search Results

Now showing 1 - 2 of 2
  • Thumbnail Image
    Article
    Citation - WoS: 13
    Citation - Scopus: 14
    Inflation-Growth Nexus: Evidence From a Pooled Cce Multiple-Regime Panel Smooth Transition Model
    (Physica-verlag Gmbh & Co, 2018) Omay, Tolga; van Eyden, Renee; Gupta, Rangan
    This paper analyses the empirical relationship between inflation and growth using a panel data estimation technique, multiple-regime panel smooth transition regression, which takes into account the nonlinearities in the data. By using a panel data set for 10 countries in the Southern African Development Community permitting us to control for unobserved heterogeneity at both country and time levels, we find that a statistically significant negative relationship exists between inflation and growth for inflation rates above the critical threshold levels of 12 and 32% which are endogenously determined. Furthermore, we remedy the cross-section dependence with the common correlated effects estimator.
  • Thumbnail Image
    Article
    Citation - WoS: 20
    Citation - Scopus: 20
    Testing for Unit Roots in Dynamic Panels with Smooth Breaks and Cross-Sectionally Dependent Errors
    (Springer, 2018) Omay, Tolga; Hasanov, Mubariz; Shin, Yongcheol
    We develop the extended unit root testing procedure for dynamic panels characterised by slowly moving trends (SMT) and cross-section dependence (CSD). We allow SMT to follow the smooth logistic transition function and the components error terms to contain the unobserved common factors. We propose the two panel unit root test statistics, one derived by the extended common correlated effects (CCE) estimator and the other based on the Sieve bootstrap. We have conducted extensive simulation exercises and document that the failure to take into account SMT and CSD may lead to misleading inference. On the other hand, we find that both bootstrap and CCE-based tests maintain good power properties in small samples in the presence SMT and CSD. We apply our proposed tests to real interest rates for 17 OECD countries and find overwhelming evidence in favour of the Fisher hypothesis.