We test whether AI-generated news images affect outlet demand and trust. In a preregistered experiment with 2,870 UK adults, the same article was paired with a wireservice photo (with/without credit) or a matched AI image (with/without label). Average newsletter demand changes little. Ex-post...

We study identification of differentiated product demand from marketlevel data when product characteristics can be endogenous. Past work suggests nonparametric identification may be impossible: that is, in addition to standard price instruments, exogenous characteristic-based instruments are...

There is limited theoretical understanding of cost pass-through in markets where prices are dispersed. This paper analyzes cost pass-through within a framework that encompasses many models in the price dispersion literature where consumers vary in the number of firms they consider. We...

Around three quarters of Bitcoin transactions take place off-chain. Despite their significance, the vast majority of the empirical literature on cryptocurrencies focuses on on-chain transactions. This paper presents one of the first analysis of both on- and off-chain demand- and supply-side...

Products produced by multiproduct firms can be linked through demand linkages (cannibalization), supply linkages (joint production), or both. We analyze how these within-firm linkages shape the propagation of shocks - such as tariffs - across products and markets and affect firm performance...

Die WIFO-Studie "Inflation und Außenwirtschaft" untersucht den komplexen Zusammenhang zwischen Inflation und Außenwirtschaft, insbesondere im Kontext der jüngsten Inflationswelle. Die zentralen Erkenntnisse zeigen, dass der theoretische Zusammenhang zwischen Inflation und Außenwirtschaft...

Life expectancy rates have increased substantially in Ireland in recent years, driven mainly by reductions in mortality rates at older ages. Accordingly, Ireland has seen large increases in its older population, and along with this increasing demand for health and social care services,...

We develop a new approach to estimating flexible demand models with exogenous supply-side shocks. Our approach avoids conventional assumptions of exogenous product characteristics, putting no restrictions on product entry, despite using instrumental variables that incorporate characteristic...

Achieving a net-zero energy system in Europe by 2050 will likely require large-scale deployment of hydrogen and seasonal energy storage to manage variability in renewable supply and demand. This study addresses two key objectives: (1) to develop a modeling framework that integrates seasonal...

Natural gas is a crucial element of energy supply in Great Britain (GB). The vast majority of GB gas consumption occurs in three main sectors: industry, Local Distribution Zone (residential, commercial, and services), and power generation. While there are strong seasonal patterns of demand...

The long-expected wave of LNG supply is now almost upon us, and is expected to outstrip the rise in demand for LNG. Spot prices, in European and Asian markets, may respond to the overhang of supply by moving to more short-run pricing – as was seen in 2019 and 2020 – and, as a result, prices...

Mass shootings in the U.S. have been at the center of the public crisis debate for a long time. Combining information on mass shootings with background check reports from the Federal Bureau of Investigation, this study applies mass shootings as exogenous shocks and reveals that the demand for...

Forecasting natural gas demand is critical for enhancing energy efficiency, optimizing infrastructure planning, and supporting Tunisia's transition toward sustainable energy. As the fastest-growing fossil fuel and one of the cleanest among non-renewable energy sources, natural gas plays a...

The reorder point formula in the Economic Order Quantity (EOQ) model traditionally assumes that demand during the lead-time follows a normal distribution. However, this assumption presents several challenges. First, alternative probability distributions may better capture demand patterns for...

This paper incorporates non-homothetic preferences and the product quality ladder assumption into a model of heterogeneous multi-product firms from the perspective of scale and quality to investigate the differential impact of domestic demand upgrading on firm resource reallocation and export...

Accurate forecasting of raw material demand is critical for effective decision-making in project management, particularly in the construction sector. Demand fluctuations in this industry can severely disrupt workflows and cause project delays. Reliable demand predictions help maintain...

Background: In the current context of increasing competitiveness and complexity in markets, accurate demand forecasting has become a key element for efficient production planning. Methods: This study implements recurrent neural networks (RNNs) to predict raw material demand using historical...