Research
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 recurring themes and methods without adding unverified publication details.
The publication list is maintained separately from publications.yml; see Publications for the generated, canonical public list.
International Trade WTO Chair Applied Econometrics Food Security Finance TINA R Python
Research clusters
Trade, WTO, and regional integration
Research in this cluster considers WTO membership, trade agreements, non-tariff measures, GCC trade integration, trade diversification, and Oman-relevant trade-policy questions.
Methods and tools: structural gravity, PPML, GPML, panel data, scenario analysis, and TINA trade simulations.
Example themes and outputs: policy briefs, regional integration analysis, CEPA or FTA teaching scenarios, reproducible trade-model examples, and selected NREC4410 International Agricultural Trade coursebook activities.
Food security and price transmission
This cluster examines how global commodity-market movements, domestic prices, food CPI, and agricultural-market conditions relate to food security and resilience in Oman and comparable settings.
Methods and tools: time-series analysis, wavelet coherence, price-transmission visualization, commodity indicators, and reproducible charts.
Example themes and outputs: food-price resilience notes, Oman-focused teaching datasets after review, and policy-oriented visualization examples.
Fisheries, marine resources, and sustainability
Research interests include Omani artisanal fisheries, adoption of advanced fishing equipment, marine-resource sustainability, coral reef recreation valuation, and wider SDG-oriented resource-economics questions.
Methods and tools: non-market valuation, willingness-to-pay analysis, adoption models, survey methods, sustainability indicators, and applied microeconometrics.
Example themes and outputs: fisheries investment studies, marine-resource valuation, and resource-economics teaching examples.
Finance, risk, and market analytics
This cluster covers financial-market behavior, inflation hedging, gold, real estate, cryptocurrency dynamics, calendar effects, risk management, and portfolio analytics as academic and teaching topics.
Methods and tools: wavelet analysis, quantile regression, portfolio analysis, volatility measures, time-series decomposition, and visualization.
Example themes and outputs: market-risk teaching cases, inflation-hedging examples, reproducible charts for finance and policy communication, and selected NREC4230 Agricultural Finance and Risk coursebook examples.
Consumer demand, hedonic methods, and applied microeconometrics
Applied microeconometric work includes consumer demand, hedonic valuation, willingness-to-pay questions, survey-based analysis, and empirical models relevant to agricultural and resource economics.
Methods and tools: hedonic models, demand systems, WTP analysis, survey design, regression models, and reproducible data workflows.
Example themes and outputs: consumer-demand examples, valuation studies, and classroom materials that connect theory with applied datasets, including relevant NREC4107 Applied Agricultural Econometrics workflows.
Agricultural insurance and risk management
This area focuses on risk, agricultural finance, insurance concepts, household or producer decision-making, and policy-relevant uncertainty in agricultural systems.
Methods and tools: risk modeling, applied econometrics, case-based analysis, simulation, and policy communication.
Example themes and outputs: agricultural finance teaching cases, risk-management notes, and student research projects using approved data.
Academic systems, teaching innovation, and AI-supported research tools
This cluster covers research evaluation, higher-education systems, reproducible writing, TINA simulation teaching, visualization examples, and responsible AI-supported academic workflows.
Methods and tools: Quarto, LaTeX, R, Python, Google Colab, Git/GitHub, structured datasets, and cautious AI-assisted drafting or coding support.
Example themes and outputs: ScholarDoc and ScholarTeX prototypes, teaching templates, reproducible reports, policy-brief workflows, and public course websites built with Quarto.
Method vocabulary
The website uses method tags and compact descriptions 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.