Saturday, August 24, 2024

 

New heaviest exotic antimatter nucleus



Scientists teasing through six billion particle smashups detect roughly 16 "antihyperhydrogen-4" particles




DOE/Brookhaven National Laboratory

antihyperhydrogen-4 nucleus 

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An artistic representation of antihyperhydrogen-4 — an antimatter hypernucleus made of an antiproton, two antineutrons, and an antilambda particle — created in a collision of two gold nuclei (left).

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Credit: Courtesy of Institute of Modern Physics, China




UPTON, N.Y. — Scientists studying the tracks of particles streaming from six billion collisions of atomic nuclei at the Relativistic Heavy Ion Collider (RHIC) — an “atom smasher” that recreates the conditions of the early universe — have discovered a new kind of antimatter nucleus, the heaviest ever detected. Composed of four antimatter particles — an antiproton, two antineutrons, and one antihyperon — these exotic antinuclei are known as antihyperhydrogen-4.

Members of RHIC’s STAR Collaboration made the discovery by using their house-sized particle detector to analyze details of the collision debris. They report their results in the journal Nature and explain how they’ve already used these exotic antiparticles to look for differences between matter and antimatter.

“Our physics knowledge about matter and antimatter is that, except for having opposite electric charges, antimatter has the same properties as matter — same mass, same lifetime before decaying, and same interactions,” said STAR collaborator Junlin Wu, a graduate student at the Joint Department for Nuclear Physics, Lanzhou University and Institute of Modern Physics, China. But the reality is that our universe is made of matter rather than antimatter, even though both are believed to have been created in equal amounts at the time of the Big Bang some 14 billion years ago.

“Why our universe is dominated by matter is still a question, and we don’t know the full answer,” Wu said.

RHIC, a U.S. Department of Energy (DOE) Office of Science user facility for nuclear physics research at DOE’s Brookhaven National Laboratory, is a good place to study antimatter. Its collisions of heavy ions — atomic nuclei that have been stripped of their electrons and accelerated close to the speed of light — melt the boundaries of the ions’ individual protons and neutrons. The energy deposited in the resulting soup of free quarks and gluons, visible matter’s most fundamental building blocks, generates thousands of new particles. And like the early universe, RHIC makes matter and antimatter in nearly equal amounts. Comparing characteristics of matter and antimatter particles generated in these particle smashups might offer clues to some asymmetry that tipped the balance to favor the existence of matter in today’s world.

Detecting heavy antimatter

“To study the matter-antimatter asymmetry, the first step is to discover new antimatter particles,” said STAR physicist Hao Qiu, Wu’s advisor at IMP. “That’s the basic logic behind this study.”

STAR physicists had previously observed nuclei made of antimatter created in RHIC collisions. In 2010, they detected the antihypertriton. This was the first instance of an antimatter nucleus containing a hyperon, which is a particle containing at least one “strange” quark rather than just the lighter “up” and “down” quarks that make up ordinary protons and neutrons. Then, just a year later, STAR physicists toppled that heavyweight antimatter record by detecting the antimatter equivalent of the helium nucleus: antihelium-4.

A more recent analysis suggested that antihyperhydrogen-4 might also be within reach. But detecting this unstable antihypernucleus — where the addition of an antihyperon (specifically an antilambda particle) in place of one of the protons in antihelium would edge out the heavyweight record holder once again — would be a rare event. It would require all four components — one antiproton, two antineutrons, and one antilambda — to be emitted from the quark-gluon soup generated in RHIC collisions in just the right place, headed in the same direction, and at the right time to clump together into a temporarily bound state.

“It is only by chance that you have these four constituent particles emerge from the RHIC collisions close enough together that they can combine to form this antihypernucleus,” said Brookhaven Lab physicist Lijuan Ruan, one of two co-spokespersons for the STAR Collaboration.

Needle in a “pi” stack

To find antihyperhydrogen-4, the STAR physicists looked at the tracks of the particles this unstable antihypernucleus decays into. One of those decay products is the previously detected antihelium-4 nucleus; the other is a simple positively charged particle called a pion (pi+).

“Since antihelium-4 was already discovered in STAR, we used the same method used previously to pick up those events and then reconstructed them with pi+ tracks to find these particles,” Wu said.

By reconstruct, he means retracing the trajectories of the antihelium-4 and pi+ particles to see if they emerged from a single point. But RHIC smashups produce a lot of pions. And to find the rare antihypernuclei, the scientists were sifting through billions of collision events! Each antihelium-4 emerging from a collision could be paired with hundreds or even 1,000 pi+ particles.

“The key was to find the ones where the two particle tracks have a crossing point, or decay vertex, with particular characteristics,” Ruan said. That is, the decay vertex has to be far enough from the collision point that the two particles could have originated from the decay of an antihypernucleus formed just after the collision from particles initially generated in the fireball.

The STAR team worked hard to rule out the background of all the other potential decay pair partners. In the end, their analysis turned up 22 candidate events with an estimated background count of 6.4.

“That means around six of the ones that look like decays from antihyperhydrogen-4 may just be random noise,” said Emilie Duckworth, a doctoral student at Kent State University whose role was to ensure that the computer code used to sift through all those events and pick out the signals was written properly.

Subtracting that background from 22 gives the physicists confidence they’ve detected about 16 actual antihyperhydrogen-4 nuclei.


Caption

Composite image of the STAR detector and an example of particle tracks it detects emerging from a gold-gold collision at the Relativistic Heavy Ion Collider (RHIC) at Brookhaven National Laboratory.

Credit

Joe Rubino and Jen Abramowitz/Brookhaven National Laboratory

Matter-antimatter comparison

The result was significant enough for the STAR team to do some direct matter-antimatter comparisons.

They compared the lifetime of antihyperhydrogen-4 with that of hyperhydrogen-4, which is made of the ordinary-matter varieties of the same building blocks. They also compared lifetimes for another matter-antimatter pair: the antihypertriton and the hypertriton.

Neither showed a significant difference, which did not surprise the scientists.

The experiments, they explained, were a test of a particularly strong form of symmetry. Physicists generally agree that a violation of this symmetry would be extremely rare and will not hold the answer to the matter-antimatter imbalance in the universe.

“If we were to see a violation of [this particular] symmetry, basically we’d have to throw a lot of what we know about physics out the window,” Duckworth said.

So, in this case, it was sort of comforting that the symmetry still works. The team agreed the results further confirmed that physicists’ models are correct and are “a great step forward in the experimental research on antimatter.”

The next step will be to measure the mass difference between the particles and antiparticles, which Duckworth, who was selected in 2022 to receive funding from the DOE Office of Science Graduate Student Research program, is pursuing.

This work was supported by the DOE Office of Science, the U.S. National Science Foundation, and a range of international agencies and organizations listed in the scientific paper. The researchers made use of computing resources in the Scientific Data and Computing Center at Brookhaven Lab, the National Energy Research Scientific Computing Center (NERSC) at DOE’s Lawrence Berkeley National Laboratory, and the Open Science Grid consortium. NERSC is another DOE Office of Science user facility.

Brookhaven National Laboratory is supported by the Office of Science of the U.S. Department of Energy. The Office of Science is the single largest supporter of basic research in the physical sciences in the United States and is working to address some of the most pressing challenges of our time. For more information, visit science.energy.gov.

Follow @BrookhavenLab on social media. Find us on InstagramLinkedInX, and Facebook.

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Virtual learning in kindergarten through grade 12 during the COVID-19 pandemic and chronic absenteeism




JAMA Network




About The Study: Chronic absenteeism rates were substantially higher in school districts that used virtual learning during the COVID-19 pandemic compared with in person in this cross-sectional study. Understanding how to reduce chronic absenteeism and use virtual learning without potentially negative consequences are key policy questions moving forward. 

Corresponding Author: To contact the corresponding author, William N. Evans, PhD, email wevans1@nd.edu.

To access the embargoed study: Visit our For The Media website at this link https://media.jamanetwork.com/

(doi:10.1001/jamanetworkopen.2024.29569)

Editor’s Note: Please see the article for additional information, including other authors, author contributions and affiliations, conflict of interest and financial disclosures, and funding and support.

#  #  #

Embed this link to provide your readers free access to the full-text article This link will be live at the embargo time http://jamanetwork.com/journals/jamanetworkopen/fullarticle/10.1001/jamanetworkopen.2024.29569?utm_source=For_The_Media&utm_medium=referral&utm_campaign=ftm_links&utm_term=082124

About JAMA Network Open: JAMA Network Open is an online-only open access general medical journal from the JAMA Network. On weekdays, the journal publishes peer-reviewed clinical research and commentary in more than 40 medical and health subject areas. Every article is free online from the day of publication. 

Birds have accents, too: Researchers find cultural change in the dialects of parrots over 22-year period




University of Pittsburgh
Parrots' Original North Call 

audio: 

Audio captured by researchers of the yellow-naped amazon parrot's original call in the North region.

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Credit: Christine Dahlin, University of Pittsburgh at Johnstown




JOHNSTOWN, PA – While distinct languages and dialects are common to human societies, most people are unaware that other species may similarly have culturally significant dialects. New research conducted by a team of researchers from the University of Pittsburgh at Johnstown and New Mexico State University has revealed the dialects of the yellow-naped amazon parrot in its natural range in Costa Rica over a 22-year span. “Widespread cultural change in declining populations of yellow-naped amazons” can be found in Proceedings of the Royal Society B in their August edition.

The research was completed by Dr. Christine Dahlin of Pitt-Johnstown, and Dr. Timothy Wright, Grace Smith-Vidaurre, and Molly K. Genes of New Mexico State University.

Yellow-naped amazons are large parrots that form long-term pair bonds, roost in large flocks at night, and forage in smaller groups during the day. They use a variety of calls that they learn from each other, of which contact calls are the most common. It is these calls that show the distinct geographic differences characteristic of dialects. 

The researchers’ initial surveys, conducted in 1994, showed three acoustically distinct contact types, North, South and Nicaraguan, that were each used in a particular area. In 2005, the researchers resurveyed these areas and found both the acoustic structure and the dialect boundaries to be essentially unchanged. In contrast, their third survey in 2016 showed a very different picture.  In this most recent 11-year span of time, they observed distinct cultural changes. The boundary between the North and South dialects shifted, and new call variants appeared within the area that formerly only used the South dialect. In the North dialect, they observed many more bilingual birds using North and South dialects.  This period was also one of great disruption for the species, as the population declined, clearing of intensive agriculture increased and the IUCN uplisted the species’ status to critically endangered. The observed cultural changes may represent adaptive responses to changing group sizes and patterns of social association.

While further work would be necessary to directly attribute the cultural changes they observed in learned vocalizations to the demographic disruption experienced by this species, this data does emphasize the importance of long-term studies for understanding how culture evolves, and what forces drive this evolution. In addition, their work showcases how the vocal learning ability of parrots may serve an adaptive role in the wild.


Parrots' New Dialect South Call (AUDIO)

University of Pittsburgh


Parrots' Original South Call (AUDIO)

University of Pittsburgh

 

Study shows successful use of ChatGPT in ag education



Microcontrollers are common in agriculture but computer programming classes are not



Peer-Reviewed Publication

University of Arkansas System Division of Agriculture

Don Johnson 

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Don Johnson, University Professor of agricultural education, communications and technology for the University of Arkansas System Division of Agriculture, performed a study showing the successful use by undergraduate agriculture students of ChatGPT to program an Arduino microcontroller using limited coaching.

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Credit: U of A System Division of Agriculture




By John Lovett

University of Arkansas System Division of Agriculture

FAYETTEVILLE, Ark. — Artificial intelligence tools such as ChatGPT show promise as a useful means in agriculture to write simple computer programs for microcontrollers, according to a study published this month.

Microcontrollers are small computers that can perform tasks based on custom computer programs. They receive inputs from sensors and can be used in climate and irrigation controls, food processing systems, as well as robotic and drone applications, to name a few agricultural uses.

A recent study published with the Arkansas Agricultural Experiment Station and the Dale Bumpers College of Agricultural, Food and Life Sciences showed agriculture students who were unfamiliar with computer coding were able to a program a microcontroller to perform a simple task using ChatGPT.

“Generative AI can make a big impact on agriculture … I can’t see how it wouldn’t,” said Don Johnson, University Professor of agricultural education, communications and technology and the lead researcher on the project. “We need to prepare our graduates to be a part of that.”

“Generative” refers to the tool’s ability to create content.

Johnson’s latest study on the topic, titled “Agriculture students’ use of generative artificial intelligence for microcontroller programming,” was published in the Natural Sciences Education journal in August. Co-authors included Bumpers College faculty members in the agricultural education, communications and technology department, Will Doss, assistant professor, and Christopher Estepp, associate professor.

Johnson said computer programming has typically not been taught in most undergraduate agriculture majors, but the inclusion of microcontrollers as components of agricultural equipment and systems has become more common. While there will always be a demand for individuals who have deep expertise in computer programming, Johnson explained the focus of these studies has been to explore how people without deep expertise can use microcontrollers in their academic and professional careers.

Johnson conducts research on human capital development and agricultural technologies for the experiment station, the research arm of the University of Arkansas System Division of Agriculture.

“I think what we’ve established is that ag students can use generative artificial intelligence to write code to solve moderately difficult programming problems without any deep knowledge of programming,” Johnson said.

Study origins

Johnson began investigating the topic of AI-assisted programming in 2022 when ChatGPT was released and learned that it could write code for microcontrollers like Arduinos. He conducted a preliminary study not long afterward comparing the abilities, interest and confidence between two groups of undergraduate agriculture students as they programmed a microcontroller to blink two LEDs in a particular sequence. One group of students wrote their own programs while the other group used ChatGPT.

The results indicated students writing their own programs developed grater Arduino programming confidence and ability than novice students using ChatGPT. However, both groups had the same level of success and interest in learning more about the microcontrollers and coding.

The follow-up study published in August was conducted solely with undergraduate agricultural students without significant computer programming experience. The study aimed to determine the confidence in their ability to use ChatGPT to write Arduino code for a more advanced problem than in the first study. This second study required students to use ChatGPT to program the Arduino to turn on a transfer pump when the level of solution in a heating tank fell 8 inches or more below a sensor and then turn the pump off when the tank refilled to within 3 inches of the sensor.

“You would need some degree of sophistication in programming to write a code for this problem in the second study, and none of these students did,” Johnson said. “But they were successful. Nine of the 11 two-person teams were successful in getting the code to do exactly what it was supposed do.”

ChatGPT coaching in both studies involved informing the students what made a good prompt for the generative AI platform. A good prompt, Johnson explained, would clearly describe the situation, components and connections, and the desired outcome.



Olivia Hope, left, and Jack Freeman take part in an agricultural education, communications and technology study for undergraduate agriculture majors to program an Arduino microcontroller using ChatGPT.

Credit

U of A System Division of Agriculture

Going a step further

Johnson would like to take the experiment one step further by leaving the problem open-ended — let students come up with their own scenarios and use ChatGPT to write the code for a microcontroller.

“I want to give students the confidence to approach microcontrollers in a problem-solving orientation and say ‘Yes, I can use this tool to solve my problem,” Johnson said.

To learn more about the Division of Agriculture research, visit the Arkansas Agricultural Experiment Station website. Follow us on X at @ArkAgResearch, subscribe to the Food, Farms and Forests podcast and sign up for our monthly newsletter, the Arkansas Agricultural Research Report. To learn more about the Division of Agriculture, visit uada.edu. Follow us on X at @AgInArk. To learn about extension programs in Arkansas, contact your local Cooperative Extension Service agent or visit uaex.uada.edu.

Payton Owens, left, and Wyatt Graves take part in an agricultural education, communications and technology study for undergraduate agriculture majors to program an Arduino microcontroller using ChatGPT.

About the Division of Agriculture

The University of Arkansas System Division of Agriculture’s mission is to strengthen agriculture, communities, and families by connecting trusted research to the adoption of best practices. Through the Agricultural Experiment Station and the Cooperative Extension Service, the Division of Agriculture conducts research and extension work within the nation’s historic land grant education system.

The Division of Agriculture is one of 20 entities within the University of Arkansas System. It has offices in all 75 counties in Arkansas and faculty on five system campuses.

The University of Arkansas System Division of Agriculture offers all its Extension and Research programs and services without regard to race, color, sex, gender identity, sexual orientation, national origin, religion, age, disability, marital or veteran status, genetic information, or any other legally protected status, and is an Affirmative Action/Equal Opportunity Employer.

 

New study from Pusan National University uncovers the hidden obviousness of self-deprecating remarks in Korean entertainment



Self-deprecation in Korean reality TV is a versatile tool that impacts interactions through defense, reprimand, accusation, humor, and cultural nuances



Pusan National University

The multifaceted roles of self-deprecation in Korean reality TV 

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By analyzing interactions from Korean reality TV shows researchers highlights the diverse functions of self-deprecation and its complex interpretive dynamics. Their findings reveal that self-deprecation can lead to varied responses, emphasizing the need for sensitivity and context-awareness in interpreting such interactions.

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Credit: Eunseok Ro from Pusan National University and Josephine Mijin Lee from Ewha Womans University




Self-deprecation, a negative self-assessment used in social interaction, is prevalent in Korean reality TV shows. Traditionally, psychology views self-deprecation as indicative of low self-esteem or related psychological disorders, such as depression or eating disorders.

In a recent study by Professors Eunseok Ro from Pusan National University and Josephine Mijin Lee from Ewha Womans University, the focus shifts from a pathological view to an interactional one, revealing the complex dynamics of self-deprecation in social interactions. Their study, published online on July 22, 2024 in the Journal of Pragmatics, suggests that self-deprecating remarks often serve broader interactional purposes. “Existing research has primarily analyzed data where self-deprecation is the central topic of the conversation. The present study contributes to an endogenous understanding of acts with self-deprecation by examining interactional episodes where the relevance of self-deprecation is momentarily suspended until other interactional exigencies are resolved,” explains Profs. Ro and Lee.

The researchers analyzed three excerpts from Korean TV shows, Infinite Challenge and I Am Solo. Through detailed conversation analysis, they examined the participants' self-deprecating actions, the responses they elicited, and the interactional consequences.

In Infinite Challenge, self-deprecation was used as a defense against a false accusation, leading to a humorous interaction. The excerpt analyzed highlights how participants created humor by breaching social norms around minimizing agreement with self-criticism. Conversely, in I Am Solo, self-deprecation was used to self-blame, reprimand, and accuse to solicit an apology. Further, the excerpts from I Am Solo demonstrated how misinterpreting self-deprecation can lead to unmet expectations, communication breakdowns, and relational tension. These examples underscore the complexity of self-deprecation in social interactions, where its meaning can vary widely depending on context. For instance, in I Am Solo, Gwangsu misinterpreted Yeongsook's self-deprecation as self-aggrandizement. When Yeongsook intended her self-criticism as an accusation, Gwangsu responded with consolation rather than an apology. Such misunderstandings can lead to emotional reactions, as seen in Yeongsook's tears. Therefore, self-deprecation should be handled carefully to avoid negative outcomes, as these examples reveal.

“Our findings reveal that self-deprecation can serve different interactional goals, such as defense, reprimand, and accusation, depending on the context. Responses to self-deprecation vary widely and can lead to misalignments, misunderstandings, and relational tension,” observes Profs. Ro and Lee. Sensitivity to self-deprecating remarks is crucial to avoid unfortunate consequences. Sensitivity to self-deprecating remarks is crucial to avoid negative outcomes, as responses depend on the specific context and participants' goals.

In conclusion, the study illustrates the complexity of self-deprecation within conversational contexts. Self-deprecation is not merely a negative self-assessment but a strategic tool for achieving various interactional goals. The findings emphasize the importance of understanding the specific context and underlying expectations behind self-deprecating remarks to navigate interactions effectively and empathetically. By developing a sequentially sensitive approach to self-deprecation, this study deepens our understanding of this practice in social interaction.

 

***

 

Reference

DOI: 10.1016/j.pragma.2024.07.004

 

About the institute
Pusan National University, located in Busan, South Korea, was founded in 1946 and is now the No. 1 national university of South Korea in research and educational competency. The multi-campus university also has other smaller campuses in Yangsan, Miryang, and Ami. The university prides itself on the principles of truth, freedom, and service, and has approximately 30,000 students, 1200 professors, and 750 faculty members. The university is composed of 14 colleges (schools) and one independent division, with 103 departments in all.

Website: https://www.pusan.ac.kr/eng/Main.do

 

About the authors

Prof. Eunseok Ro is an associate professor at the Department of English Education at Pusan National University. He received a Ph.D. in Second Language Studies from University of Hawai’i at Mānoa in 2017 and worked as an assistant professor at City University of Hong Kong and Kangwon National University. His research is centered on the application of conversation analysis in (L2) interaction studies, examining teacher-student talk, video-mediated interaction, and media discourse.

Read more about his work: https://sites.google.com/view/roeunseok

ORCID id: 0000-0002-7914-7704

 

Prof. Josephine Mijin Lee is an associate professor of English Education at Ewha Womans University in Seoul, South Korea. She received a Ph.D. in Second Language Studies from University of Hawai’i at Mānoa in 2015. Her research interests center on applying ethnomethodology and conversation analysis to studies on L2 pedagogy, classroom interaction, and pragmatics.

Read more about her work: https://pure.ewha.ac.kr/en/persons/josephine-lee

ORCID id: 0000-0003-0686-9228

 

The real price of the “zero-price effect”



Real estate offered in free classified service sells more slowly and at lower price than that in paid service




Tel-Aviv University

Prof. Danny Ben-Shahar 

image: 

Prof. Danny Ben-Shahar

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Credit: Tel Aviv University




Researchers from Tel Aviv University found that there may be a cost to the zero-price effect: statistically identical homes that were published in free service ads on the Israeli “Yad2” online classified service received fewer clicks, sold more slowly, and at a lower price than identical homes that were published in paid service ads – adding up to an average net loss of about 3.5%–3.8% of the average transaction price. This is equivalent to about $12K–$13K, when the price off the paid service amounted to a total of about $70. The surprising results were part of a study that was conducted by Prof. Danny Ben-Shahar, Director of the Alrov Institute for Real Estate Research at Tel Aviv University's Coller School of Management and Dr. David Ash, a research associate at the institute. Its article reporting the results was recently accepted for publication in the journal Real Estate Economics of the American Real Estate and Urban Economics Association.

 

“We study behavioral economics in the real estate market and, in particular, the effects of biases in decision-making," explains Prof. Ben-Shahar. "We know for quite sometime that people do not always make rational decisions, and one of the more interesting questions is whether there is a price paid for those irrational decisions. Here we examined a bias called the 'zero-price effect'. This effect makes people overvalue products or services offered at zero price. For example, if we lower the price of a product from $2 to $1, demand may increase slightly, but if we lower its price by $1 to zero – demand will increase dramatically, which cannot be explained by a rational cost-benefit approach. We wanted to test this effect not in an experimental setting of the laboratory, but through real data of choices made in the 'real world' – and more importantly, to test whether there is an economic cost to this bias towards a zero price.”

 

In the first part of the study, the researchers examined commercial properties that were offered for rent on the “Yad2” online platform. In July 2019, the platform cancelled the option to post ads for renting out commercial properties, and at the same time to charge more for the premium service – which both highlights the ad and displays it at the top of the search.

 

“This update allowed us to conduct a quasi-natural experiment, with the participation of real people who have to spend real money in order to rent out real properties,” says Prof. Ben-Shahar. “When the free service became fee-based and the premium service became even more expensive, we saw that a significant mass of owner, seeking to rent out their property, opted for the premium ad service – even though it became considerably more expensive. The cheaper option had lost appeal as soon as it stopped being completely free.”

 

Then Prof. Ben-Shahar and Dr. Ash demonstrated, for the very first time, the heavy price consumers pay for their zero-price bias. They did this by sampling over 15,000 ads of properties that private homeowners offered for sale on the “Yad2” platform, all of which are without brokerage, over the three-year period between 2014 and 2016.

 

“It’s important to realize that selling a home is the largest and most important deal in most people's life-time, averaging at $350K to $500K for the sellers in our sample,” says Prof. Ben-Shahar. “’Yad2’ offers these private sellers to publish their ads in a free basic service, or in a premium service at a negligible total cost of about $70. However, about 95% of the sellers preferred the free ad service. Controlling for the difference in the characteristics of the assets, we found that the premium service increased the chance of selling the property by 10% to 18% daily, increased the number of clicks on the ad by 117% to 130%, and the clicks on the sellers’ phone number by 108% to 122%. In other words, those who paid for the premium service attained a higher demand and a faster sale. And most importantly: they sold their properties at higher prices. Statistically identical homes offered in the paid-premium service were sold for 3.5% to 3.8% higher price than homes offered in the free service, a difference of about $12K–$13K per sale.”

 

Link to the article:

https://onlinelibrary.wiley.com/doi/full/10.1111/1540-6229.12508