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Are Oust

Professor

Norwegian University of Science and Technology

Norway

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About

Are Oust is a Professor at the Norwegian University of Science and Technology, Norway. His research areas include automated valuation models, real estate investment decision support, and the economics of urban real estate markets. Recent publications focus on AI applications in valuation, effects of external factors on real estate prices, and earnings management in firms and local governments.

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2020

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2020

Collaborators (3)

Ishwar Khatri

Norwegian University of Science and Technology

NORWAY

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Arne Johan Pollestad

Associate Professor of Business Analytics

Norwegian University of Science and Technology

NORWAY

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Endre Jo Reite

Assistant Professor

Norwegian University of Science and Technology

NORWAY

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Are Oust

Research Interests

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About

Articles (24)

Do Sustainable Retrofits Pay Off? Evidence from U.S. Real Estate Investment Trusts

Mortgage pricing, borrower-based limits, and retention

Giving Eyes to Automated Valuation Models: Computer Vision Assessment of Interior Home Condition

Hyperlocality in Real Estate Valuation: A Comparative Study of AVM Approaches

Comparing Housing Valuation Techniques and Stacked Generalization: Exploiting Explainable AI

AI-powered floor plan analysis for feature extraction in automated valuation models

Assessing the Explanatory Power of Dwelling Condition in Automated Valuation Models

Harnessing uncertainty: a new approach to real estate investment decision support

Some like it hot: The effect of auction temperature on urban real estate prices

Incorporating Large Language Models in Automated Real Estate Valuation

Earnings management in European real estate firms during crisis periods

Earnings management in local governments under a soft control regime

Towards a Better Uncertainty Quantification in Automated Valuation Models

Management’s Discretionary Assessments of Goodwill Impairments—Evidence from STOXX Europe 600

Changes in credit score, transaction volume, customer characteristics, and the probability of detecting suspicious transactions

Adverse selection in iBuyer business models—don’t buy lemons!

Hijacking the auction – seller's or buyer's curse?

Loan-to-Value Regulations on Mortgages and the Use and Refinancing of Unsecured Debt

Aggressive bidding strategies in real estate auctions – a structural equation modelling (SEM) approach

Opening Bid Strategies in English Auctions

Real Estate Price Formation: Energy Performance Certificates and the Role of Real Estate Agents

Combining Property Price Predictions from Repeat Sales and Spatially Enhanced Hedonic Regressions

The impact of strategic jump bidding in residential English auctions

The impact of historic preservation policies on housing values

Collaborators (3)

Ishwar Khatri

Arne Johan Pollestad

Endre Jo Reite

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