2024
article
OpenAlex
Ron Bekkerman, Maxime C. Cohen, Xiaoyan Liu, John Maiden et autres
Problem definition: Opportunity zones (OZs) are designated census tracts in which real estate investments can gain tax benefits. Introduced by the U.S. Tax Cuts and Jobs Act of 2017, the goal of the OZ program is to foster economic development in distressed …
ca, us
(code pays fourni par la source)
2022
article
OpenAlex
Ron Bekkerman, Maxime C. Cohen, Edward Kung, John Maiden et autres
We provide new evidence that short-term rental platforms like Airbnb incentivize residential real estate investment.
ca, us
(code pays fourni par la source)
2022
article
OpenAlex
Ron Bekkerman, Eliezer M. Fich, Natalya V. Khimich
Abstract Through textual analyses of 7.7 million patents, we develop a novel intercompany innovation similarity measure which enables us to find that technologically connected firms cross-predict one another’s returns. Investors impound information about firms’ technological connectedness, although not immediately and fully. Buying …
us
(code pays fourni par la source)
2022
conference-abstract
OpenAlex
Ron Bekkerman, Maxime C. Cohen, Edward Kung, John G. Maiden et autres
We provide new evidence that short-term rental (STR) platforms like Airbnb incentivize residential real estate investment. We exploit two complementary identification strategies. First, we use variation in the timing of STR regulations to estimate the effect of regulation on both Airbnb listings …
ca, us
(code pays fourni par la source)
Accès ouvert
2022
dataset
OpenAlex
Ron Bekkerman, Eliezer M. Fich, Natalya V. Khimich
Text-based technological similarity between firms Text-based technological similarity between firms data is used in the paper R. Bekkerman, E.M. Fich, and N.V. Khimich, “The Effect of Innovation Similarity on Asset Prices: Evidence from Patents’ Big Data”, The Review of Asset Pricing Studies, …
Accès ouvert
2021
preprint
OpenAlex
Ron Bekkerman, Maxime C. Cohen, Xiaoyan Liu, John Maiden et autres
ca, us
(code pays fourni par la source)
Accès ouvert
2021
preprint
OpenAlex
Ron Bekkerman, Maxime C. Cohen, Edward Kung, John Maiden et autres
ca, us
(code pays fourni par la source)
2020
conference-paper
OpenAlex
Ron Bekkerman, Vanja Josifovski, Foster John Provost
World's major industries, such as Financial Services, Telecom, Advertising, Healthcare, Education, etc, have attracted the attention of the KDD community for decades. Hundreds of KDD papers have been published on topics related to these industries and dozens of workshops organized---some of which …
us
(code pays fourni par la source)
2020
article
OpenAlex
Ido Dangur, Ron Bekkerman, Einat Minkov
il
(code pays fourni par la source)
2020
article
OpenAlex
Eran Raveh, Yuval Ofek, Ron Bekkerman, Hertzel Cohen
Evaluators worldwide are dealing with a growing amount of unstructured electronic data, predominantly in textual format. Currently, evaluators analyze textual Big Data primarily using traditional content analysis methods based on keyword search, a practice that is limited to iterating over predefined concepts. …
il
(code pays fourni par la source)
2019
article
OpenAlex
Ron Bekkerman, Adi Zmirli, Scott Kirkpatrick
We explore the potential of crowd-sourced information on human mobility and activities in an urban population drawn from a significant fraction of smartphones in the Los Angeles basin during February-May 2015. The raw dataset was collected by WeFi, a smartphone app provider. …
il
(code pays fourni par la source)
2018
article
OpenAlex
Saar Kagan, Ron Bekkerman
This paper proposes a methodological framework that extends the advantages of behavioral targeting while preserving the privacy of the individual. Instead of profiling individual users according to their general interests, we profile website audiences according to their online purchase behavior. This presents …
il
(code pays fourni par la source)