Research

Research clusters for Prof. Osman Gulseven in international trade, WTO policy, food security, applied econometrics, finance, sustainability, and academic tools.

Keywords

Osman Gulseven, research, WTO, international trade, food security, Oman, GCC, gravity model, PPML, wavelet coherence, TINA

Prof. Osman Gulseven’s research connects academic economics, policy-oriented trade analysis, applied econometrics, teaching innovation, and digital research infrastructure. The clusters below organize the portfolio around connected research and teaching areas without adding unverified claims.

The publication list is maintained separately from publications.yml; see Publications for the generated, canonical public list.

Research clusters

International trade, WTO, and regional integration

WTO membership, regional integration, trade agreements, structural trade determinants, GCC trade integration, Oman-India CEPA agri-food outcomes, non-tariff measures, gravity models, PPML estimation, and TINA simulations.

structural gravity PPML GPML panel data scenario analysis TINA

Food security, agricultural markets, and price transmission

Food security, agricultural markets, global food prices, domestic consumer prices, resilience to commodity shocks, Oman food CPI, wavelet analysis, and food-security policy.

wavelet coherence time series price transmission commodity indicators visualization

Fisheries, marine resources, and sustainability

Omani artisanal fisheries, modern boat adoption, coral reef recreation valuation, Al-Jabal Al-Akhdar recreation valuation, SDG-oriented resource economics, and marine sustainability indicators.

non-market valuation willingness to pay adoption models survey methods SDG indicators

Finance, inflation, gold, crypto, and risk

Financial-market behavior, inflation hedging, gold, real estate, cryptocurrency dynamics, stock-market calendar effects, algorithmic trading, risk management, and portfolio analysis as academic and educational analysis.

wavelet analysis quantile regression portfolio analysis volatility time series

Data, methods, and teaching innovation

Research evaluation, higher-education metrics, data visualization, reproducible workflows, TINA teaching simulations, policy briefs, Quarto documents, and applied R/Python teaching materials.

reproducible research Quarto R Python Google Colab teaching innovation

Academic tools and research infrastructure

ScholarDoc, ScholarTeX, AI-supported academic writing workflows, LaTeX and Beamer support, Word academic document conversion concepts, and responsible teaching-support tools.

ScholarDoc ScholarTeX LaTeX Beamer AI-supported workflows

Public or teaching-facing outputs

• Oman- and GCC-relevant trade-policy analysis, gravity-model examples, and TINA simulation teaching resources after review.
• Food-security and price-transmission visualizations using public or teaching-approved data.
• Fisheries, sustainability, and non-market valuation method notes for teaching and research design.
• Financial-market examples presented as academic analysis, not investment advice.
• Reproducible document and visualization templates for research communication.

Method vocabulary

The website uses method tags to keep long lists readable on desktop and mobile. Recurring methods include gravity models, PPML, GPML, wavelet coherence, quantile regression, hedonic demand systems, willingness-to-pay analysis, non-market valuation, portfolio analysis, R, Python, Quarto, Google Colab, and TINA trade simulations.