This study investigated the consumers' preference and willingness to pay for enriched snack product traits. Using a choice experiment framework,we generated 8400 observations from a random sample of 700 respondents in Shashamanne and Hawassa city administrations. Taste parameters and...

By applying a structural demand model to unique consumer-level survey data from the euro area, we assess how different CBDC design options, combined with individual (revealed) preferences, influence the potential demand for a digital euro. Estimating the demand for a digital euro, we find that...

We characterize the dispersion of firm-level productivity and demand shocks using Swedish microdata including prices and utilization and analyse the consequences for firms and the aggregate economy. Demand dispersion increases by more than TFPQ dispersion in recessions. Productivity shocks pass...

We propose a tractable method for estimation of a simultaneous search model for differentiated products that allows for observed and unobserved heterogeneity in both preferences and search costs. We show that for type I extreme value distributed search costs, expressions for search and purchase...

I study the impact of subsidies for Plug-in hybrid vehicles (PHEV) on carbon emissions. I show that subsidizing innovations without considering consumer behavior can harm the environment. I provide descriptive evidence on charging instances of PHEV and combine it with a structural model of...

Product complementarities can shape market patterns, influencing the demand for related products and their accessories. This study examines complementarities in the demand for rooftop solar and an accessory, battery energy storage. Using nationwide administrative data, we estimate a dynamic...

We propose a demand estimation method that allows researchers to estimate substitution patterns from unstructured image and text data. We first employ a series of machine learning models to measure product similarity from products' images and textual descriptions. We then estimate a nested logit...

In this paper we introduce a new approach to estimating a differentiated product demand system that allows for error in market shares as measures of choice probabilities. In particular, our approach allows for products with zero sales in the data, which is a frequent phenomenon that arises in...

Worldwide the demand for solar photovoltaics (PV) has increased significantly over the past decades. This was driven by a price reduction for solar PV systems. A two-stage least squares linear regression yields insights into the price sensitivity for residential customers in the U.S., and...