This study leverages high-frequency foot-traffic data from SafeGraph to estimate demand shocks in customer-facing establishments across New York City's retail, service, and health sectors. Recognizing that variations in foot traffic can arise from both unpredictable demand shocks and firm-driven...

This study forecasts inbound tourism demand for the United Kingdom, using monthly data from February 1989 to February 2020. In the empirical analysis, we evaluate and compare the performance of five machine learning models (decision trees, random forests, XGBoost, and support vector regression...

Der Beitrag liefert einen systematischen Überblick zur außerklinischen Intensivpflege (AKI) in Deutschland im Zeitraum von 2018 bis 2022. Auf Basis von AOK-Daten von 18.363 AOK-Versicherten mit AKI werden erstmals umfassende deskriptive Ergebnisse zu den demografischen und...

We propose a demand estimation approach that leverages unstructured data to infer substitution patterns. Using pre-trained deep learning models, we extract embeddings from product images and textual descriptions and incorporate them into a mixed logit demand model. This approach enables demand...

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...

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...

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...

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...

This study proposes a new deep learning (DL)-based approach for multi-item demand forecasting in multi-wave distribution networks. In modern merchandising supply systems, traditional forecasting techniques such as moving averages and autoregressive integrated moving average (ARIMA) models are...

This paper examines how shifts in investor demand influence firm financing and investment decisions. For identification, the paper exploits a large-scale MSCI methodo logical reform that mechanically redefined the stock weights in major international equity benchmark indexes, changing the...

We estimate demand for five conversational AI use cases - administrative assistance, studying, wellness, friendship, and romance - using a preregistered, within-respondent conjoint experiment in a U.S. online sample (N=1,989). Purpose dominates interest: instrumental uses rank highest, romance...

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...

This research paper presents new gasoline demand price elasticity estimates for California. The study leverages the unique characteristics of California's gasoline market and introduces a new set of proposed instruments. As a first step, the study takes advantage of California's partially...

We propose a new model in which relationship-specific supply and demand shocks are non-parametrically identified in bipartite data under mild assumptions. For example, separate heterogeneous supply shocks are identified for each firm to which a bank lends. We show that a simple estimator is...

High aggregate levels of wildlife consumption in Central African cities may be depleting wildlife populations. This study explores the impacts of demand and supply-side interventions on wild meat consumption through two randomized control trials in restaurants in Kinshasa, Democratic Republic of...

Housing expenditure shares decline with income. A household's income determines its sensitivity to housing costs and drives its location decision. Has spatial skill sorting increased because low income individuals are avoiding increasingly expensive regions? I augment a standard quantitative...

Background: Accurate inventory management of intermittent spare parts requires precise demand forecasting. The sporadic and irregular nature of demand, characterized by long intervals between occurrences, results in a significant data imbalance, where demand events are vastly outnumbered by...

Income is often viewed as the main determinant of life insurance demand. However, in the last two decades, the world's life insurance penetration has continued to decrease even as income grows. This study investigates the relationship between income and life insurance demand using panel data...

We study how demand uncertainty affects risk-neutral firms' number of export destinations when uncertainty is resolved after firms choose their export destinations and output. We show that firms' ability to allocate their output across destinations in response to destination-specific shock...

There is limited theoretical understanding of cost pass-through within markets where prices are dispersed. Under a general demand function, we analyse the effects of cost changes in a seminal model of price dispersion, where some consumers are captive to particular sellers while others are not...

We study how demand uncertainty affects risk-neutral firms. number of export destinations when uncertainty is resolved after firms choose their export destinations and output. We show that firms’ ability to allocate their output across destinations in response to destination-specific shock...