Web-Based Time Series Tool: The Case Of Economic Growth And Female Employment

Selena Kantarmacı; İpek Deveci Kocakoç

Makale detayları

Web-Based Time Series Tool: The Case Of Economic Growth And Female Employment

Yazarlar:

Selena Kantarmacı | İpek Deveci Kocakoç

Yayıncı:

Giresun University

Ana Başlıklar:

Mikro İktisat (Diğer) | İstatistik (Diğer)

Dergi:

Giresun Üniversitesi İktisadi ve İdari Bilimler Dergisi Vol.11 Issue 1, pp.37-64

Belge Tipi:

Makale

Yayın Tarihi:

6/2025

Belge Dili:

Türkçe

Document ID (Org No.):

2001353239

pISSN:

2149-3391

Anahtar kelimeler:

Özet:

 Time series analysis serves as a fundamental tool for macroeconomics and microeconomics and finance-related fields to answer different questions and manage uncertainties. Time series analysis stands as a fundamental empirical research field which studies the relationships and causal effects between multiple series. The research project develops an online computational system to execute unit root tests and cointegration analyses which are essential for time series analysis. The analysis methods of unit roots and cointegration find extensive application in economics and finance and health research but typically need specialized software or programming packages for execution. The tests demand programming expertise together with experience using particular software applications. The main purpose of this research work is to develop an accessible computation system that enables users to perform these methods. The tools functionality was demonstrated by analyzing quarterly data from the Turkish Statistical Institute spanning from 2005-Q1 to 2024-Q4. The statistical data consists of two quarterly series: the employment numbers of women aged 15 and above in thousands and the GDP expressed as the chained volume index of buyer prices. The web-based statistical testing tool produced results that exactly matched those generated by widely used software packages during this research study. The tool demonstrates both high reliability and precise accuracy. The application serves two groups of users: those who lack software expertise as well as professionals who need instant accurate results. The tool will receive future updates which will add time series methods including VAR, VECM and Granger causality to establish its position as a primary user choice. The research will generate future studies in multiple fields according to the authors prediction.

 Time series analysis serves as a fundamental tool for macroeconomics and microeconomics and finance-related fields to answer different questions and manage uncertainties. Time series analysis stands as a fundamental empirical research field which studies the relationships and causal effects between multiple series. The research project develops an online computational system to execute unit root tests and cointegration analyses which are essential for time series analysis. The analysis methods of unit roots and cointegration find extensive application in economics and finance and health research but typically need specialized software or programming packages for execution. The tests demand programming expertise together with experience using particular software applications. The main purpose of this research work is to develop an accessible computation system that enables users to perform these methods. The tools functionality was demonstrated by analyzing quarterly data from the Turkish Statistical Institute spanning from 2005-Q1 to 2024-Q4. The statistical data consists of two quarterly series: the employment numbers of women aged 15 and above in thousands and the GDP expressed as the chained volume index of buyer prices. The web-based statistical testing tool produced results that exactly matched those generated by widely used software packages during this research study. The tool demonstrates both high reliability and precise accuracy. The application serves two groups of users: those who lack software expertise as well as professionals who need instant accurate results. The tool will receive future updates which will add time series methods including VAR, VECM and Granger causality to establish its position as a primary user choice. The research will generate future studies in multiple fields according to the authors prediction.

 Time series analysis serves as a fundamental tool for macroeconomics and microeconomics and finance-related fields to answer different questions and manage uncertainties. Time series analysis stands as a fundamental empirical research field which studies the relationships and causal effects between multiple series. The research project develops an online computational system to execute unit root tests and cointegration analyses which are essential for time series analysis. The analysis methods of unit roots and cointegration find extensive application in economics and finance and health research but typically need specialized software or programming packages for execution. The tests demand programming expertise together with experience using particular software applications. The main purpose of this research work is to develop an accessible computation system that enables users to perform these methods. The tools functionality was demonstrated by analyzing quarterly data from the Turkish Statistical Institute spanning from 2005-Q1 to 2024-Q4. The statistical data consists of two quarterly series: the employment numbers of women aged 15 and above in thousands and the GDP expressed as the chained volume index of buyer prices. The web-based statistical testing tool produced results that exactly matched those generated by widely used software packages during this research study. The tool demonstrates both high reliability and precise accuracy. The application serves two groups of users: those who lack software expertise as well as professionals who need instant accurate results. The tool will receive future updates which will add time series methods including VAR, VECM and Granger causality to establish its position as a primary user choice. The research will generate future studies in multiple fields according to the authors prediction.

 Makroekonomi ve mikroekonomi finans ile ilgili alanlardaki soru işaretlerini yüksek oranda zaman serisi analizi ile çözümlemektedir. Zaman serisi analizi, iki veya daha fazla serinin birbiri arasındaki etkileşimini, yönünü, nedenselliğini araştıran ve ampirik çalışmalara yön veren alan haline gelmiştir. Bu çalışma, zaman serisinde kullanılan birim kök testleri ve eşbütünleşme analizlerinin web tabanlı hesaplama aracını tanıtmak amacıyla hazırlanmıştır. Ekonomi, finans, sağlık ve birçok alanda kullanılan birim kök ve eşbütünleşme analizleri paket programlar veya özel yazılımlar ile gerçekleşmektedir. Testlerin gerçekleştirilebilmesi için kodlama becerileri veya program bilgisi gerekmektedir. Çalışmada amacımız bu yöntemlerin kolay ulaşılabilirliğini sağlayan bir hesaplama aracını tanıtmaktır. Aracın işleyişini göstermek adına, Türkiye İstatistik Kurumundan, 2005-1:2024-4 arası çeyreklik olarak çekilen, Türkiyede 15 yaş kadın istihdamı bin kişi ve yine çeyreklik olarak elde edilen ekonomik büyümeye ilişkin alıcı fiyatları zincirlenmiş hacim endeksi cinsinden gayri safi yurtiçi hasıla kullanılmıştır. Web-tabanlı istatistik test aracının tanıtıldığı bu çalışmada sonuçlar popüler yazılım paketleri ile karşılaştırılmış ve birebir eşleşme görülmüştür. Bu sonuç test aracının başarısını doğrulamıştır. Araç kodlama bilgisi ve yazılım bilgisi olmayan kullanıcılara fayda sağlamakla birlikte hızlı ve kesin sonuç isteyen uzmanlara da yardımcı olacaktır. Gelecekte zaman serisinin diğer yöntemleri olan VAR, VECM, Nedensellik ve birçok diğer yöntemin araca eklenmesi ve aracın kullanıcıların birincil seçeneği olması hedeflenmektedir. Çalışmanın ilerde farklı alanlardaki birçok araştırmaya katkı sağlayacağı düşünülmektedir.

Makale detayları

Web-Based Time Series Tool: The Case Of Economic Growth And Female Employment

Yazarlar:

Selena Kantarmacı | İpek Deveci Kocakoç

Yayıncı:

Giresun University

Ana Başlıklar:

Mikro İktisat (Diğer) | İstatistik (Diğer)

Dergi:

Giresun Üniversitesi İktisadi ve İdari Bilimler Dergisi Vol.11 Issue 1, pp.37-64

Belge Tipi:

Makale

Yayın Tarihi:

6/2025

Belge Dili:

Türkçe

Document ID (Org No.):

2001353239

pISSN:

2149-3391

Web-Based Application

Time Series

Cointegration

Unit Root

Female EmploymentWeb Tabanlı Uygulama

Zaman Serisi

Eşbütünleşme

Birim Kök

Kadın İstihdamı

Sayı

Makale detayları

Yazarlar: Selena Kantarmacı | İpek Deveci Kocakoç

Yayıncı: Giresun University

Ana Başlıklar: Mikro İktisat (Diğer) | İstatistik (Diğer)

Dergi: Giresun Üniversitesi İktisadi ve İdari Bilimler Dergisi Vol.11 Issue 1, pp.37-64

Belge Tipi: Makale

Yayın Tarihi: 6/2025

Belge Dili: Türkçe

Document ID (Org No.): 2001353239

pISSN: 2149-3391

Sayı

Yazarlar:

Selena Kantarmacı | İpek Deveci Kocakoç

Yayıncı:

Giresun University

Ana Başlıklar:

Mikro İktisat (Diğer) | İstatistik (Diğer)

Dergi:

Giresun Üniversitesi İktisadi ve İdari Bilimler Dergisi Vol.11 Issue 1, pp.37-64

Belge Tipi:

Makale

Yayın Tarihi:

6/2025

Belge Dili:

Türkçe

Document ID (Org No.):

2001353239

pISSN:

2149-3391