Results 201 to 210 of about 7,049,980 (289)

Not all Temperature Shocks are Alike: Disentangling Heat and High Temperature Shocks and Their Effects on Inflation in Australia

open access: yesEconomic Record, EarlyView.
We study the effects of heat and high temperature shocks on inflation in Australia using monthly, state‐level temperature anomaly data via two stages. In the first stage, we decompose temperature anomalies into orthogonal components using a structural vector autoregression with long‐run restrictions.
Tan Dat Huynh, Mengheng Li
wiley   +1 more source

The importance of considering regimes in long‐term asset allocation to real estate

open access: yesReal Estate Economics, EarlyView.
Abstract We investigate the long‐term, regime‐dependent asset allocation of an investor's wealth in a mixed‐asset portfolio that includes publicly traded real estate. We show that augmenting standard VAR models with Markov‐switching features not only improves predictive power for asset returns but also introduces economically meaningful horizon effects
Massimo Guidolin   +2 more
wiley   +1 more source

Graph‐Laplacian modeling of spatiotemporal effects for house price estimation

open access: yesReal Estate Economics, EarlyView.
Abstract Many variables involve the modeling of spatial effects, and their dynamics over time. This article presents a linear model in which spatiotemporal random effects are modeled by graph‐Laplacians. A graph‐Laplacian flexibly encodes adjacency in both space and time, in our case not depending on unknown parameters. The graph‐Laplacian can be input
Willem P Sijp, Marc K. Francke
wiley   +1 more source

Experimentally Validated Quantum-Secure Federated Learning over a Multi-user Quantum Network. [PDF]

open access: yesResearch (Wash D C)
Liu ZP   +8 more
europepmc   +1 more source

Demand Estimation with Text and Image Data

open access: yesThe RAND Journal of Economics, EarlyView.
ABSTRACT 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.
Giovanni Compiani   +2 more
wiley   +1 more source

Preemptive Entry and Technology Diffusion: The Market for Drive‐In Theaters

open access: yesThe RAND Journal of Economics, EarlyView.
ABSTRACT This article studies entry preemption in new industries. We first test a key prediction of dynamic entry games: Entry preemption is most relevant in intermediate‐sized markets, where firms face highest uncertainty about future entry. Using US drive‐in theater market (1945–1957) data, we find robust evidence for this non‐monotonic relationship ...
Ricard Gil   +3 more
wiley   +1 more source

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