Xiang Hui @xianghui90 Twitter profile

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@jiharenn

Xiang Hui

@xianghui90

4 years

Just received a scan of a thank you card from a student who's starting his PhD in IS at Maryland. It made my day. Also I realized that a scan of handwriting somehow touches me more than an email. Special thanks to @dbroockman @avicgoldfarb for kindly sharing their course slides.

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Xiang Hui

@xianghui90

2 years

Our paper on when and why do buyers rate just came out as a CEPR Discussion Paper. This is joint work with my brilliant coauthors @kleintob and Konrad Stahl. Why another paper on this old topic? In this thread, I'd like to highlight the novelty in our findings 1/9

CEPR

@cepr_org

2 years

New CEPR Discussion Paper - DP17006 When and Why Do Buyers Rate in Online Markets? Konrad O Stahl #UniMannheim @MannheimBSchool , Tobias Klein @kleintob @TilburgU @TiUEconomics , Xiang Hui @xianghui90 @WUSTL #CEPR_IO

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Xiang Hui

@xianghui90

6 years

Study by @ce_tucker @ccatalini : last mile problem between digital and physical world. Some comments argue that technology, e.g. retina scanning, can solve the verification problem. But technology alone never solves the incentive problem for truth-telling!

What Blockchain Can’t Do

When assessing blockchain business models, it is useful to understand what blockchain can’t do. Think about the problem of tracking babies within a hospital ward and beyond. The effects of a baby...

hbr.org

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Xiang Hui

@xianghui90

2 years

We find that buyers dislike search ads, but quality certificates mitigate this aversion. Results based on a field experiment which randomizes the salience of ad disclosure, and a system glitch which eradicates a quality certificate for all listings on eBay. Joint w/ @MengLiu_WUSTL

CESifo

@CESifoNetwork

2 years

Quality Certificates Alleviate Consumer Aversion to Sponsored Search Advertising | @xianghui90 , @MengLiu_WUSTL | #EconTwitter

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Xiang Hui

@xianghui90

3 years

My friend always went the extra mile at work. That's why he lost his job as a taxi driver :) Check out this new MS paper on how digital platforms mitigate moral hazard in the transportation industry by @MengLiu_WUSTL @erikbryn @JasonFKD .

Meng Liu

@MengLiu_WUSTL

3 years

Uber vs. taxis, which one is more likely to rip you off by taking you on a detour? Our new paper in Management Science shows Uber drivers do better on this front, except in times of high surge pricing. Joint work with the amazing @erikbryn and @JasonFKD

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Xiang Hui

@xianghui90

3 years

Why did Google's ads platform switch to using first-price auctions? Can an auction be credible, strategy-proof, and static at the same time? Check out this awesome thread on the paper by @akbarpour_ and @ShengwuLi .

Mohammad Akbarpour

@akbarpour_

3 years

Today is @ShengwuLi 's birthday! An incredible coauthor! An excuse to write about our ECTA paper on "credible mechanisms." There, we made a theoretical prediction that in the online world, real 2nd-price auctions can't survive! Google made the prediction official soon after: 1/N

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Xiang Hui

@xianghui90

6 years

A very interesting paper by Meng Liu, @erikbryn , and @JasonFKD that shows Uber passengers are less likely to be taken on a detour and ripped off than taxi passengers.

NBER

@nberpubs

6 years

Do Digital Platforms Reduce Moral Hazard? The Case of Uber and Taxis, from Meng Liu, @erikbryn , and @JasonFKD

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Xiang Hui

@xianghui90

4 years

New working paper from @mit_ide on the spillover effect of shelter-in-place policies across geographies and networks. (Another reason why a simple DiD across geography to study COVID-related shocks does not work.)

Sinan Aral

@sinanaral

4 years

[🚨NEW WORKING PAPER🚨] As local governments reopen, we study how policies in one region affect mobility & social distancing in other regions & the consequences of uncoordinated policy responses to #Covid_19 . 1/

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Xiang Hui

@xianghui90

4 years

@yesimorhun CODE is using this platform for socialization this year.

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Xiang Hui

@xianghui90

4 years

👏👏50k+ upvotes & 4k+ comments on Reddit in 1 day. Forecasting the spread of COVID by @MengLiu_WUSTL @RThomadsen @songyao (and those who attacked the UW model in comments, this one is from Washington University, which is in St Louis!!! 😫)

From the science community on Reddit: COVID-19 cases could nearly double before Biden takes office....

Explore this post and more from the science community

www.reddit.com

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Xiang Hui

@xianghui90

4 years

@j2bryson @erikbryn @emollick @MengLiu_WUSTL @DigEconLab @eBay We treat eBay as a laboratory micro economy and find machine translation increased trade. We don't have micro trade data from other channels so can't say much there.

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Xiang Hui

@xianghui90

4 years

Journal of Fiancé

Itai Sher

@itaisher

4 years

James and Economic Behavior

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Xiang Hui

@xianghui90

4 years

@KirbyKNielsen I feel you. I had no time for research when I taught a new course for the first time. I designed the first five courses from scratch but eventually I was fortunate to discover a related course from a kind instructor and have built my course based on that since then. Huge relief!

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Xiang Hui

@xianghui90

4 years

Hong Kong postpones election for a year citing the pandemic concern. If the government is so concerned why isn't it restricting travel or enforcing work from home? Trump must be so jealous...

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Xiang Hui

@xianghui90

4 years

A nice COVID-19 forecast website put together by Washington University researchers @MengLiu_WUSTL , @RThomadsen and @songyao .

Raphael Thomadsen

@RThomadsen

4 years

Happy to announce our website (Meng Liu, Song Yao and myself) that gives our forecast for the spread of covid under different social distancing levels. We also provide graphs of what the social distancing levels are in each state.

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Xiang Hui

@xianghui90

2 years

@wytham88 @vkbostwick @SarahHBana Hey folks this is awesome, thanks for doing this. To me whether a postdoc involves teaching or not is a BIG factor. Teaching a new prep involves lots of time devotion even for very good teachers and it's difficult to recoup the benefit within the short time span of postdoc.

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Xiang Hui

@xianghui90

2 years

@yesimorhun @OlegUrminsky @jmtroos @avicgoldfarb @gzervas @sanjog_misra @SeilerStephan @ce_tucker @Prof_Yildirim A few came to mind but the one with the most kickass name (and impact of course) is gotta be the ghost ads paper by @garjoh_canuck

Ghost Ads: Improving the Economics of Measuring Online Ad Effectiveness - Garrett A. Johnson,...

To measure the effects of advertising, marketers must know how consumers would behave had they not seen the ads. The authors develop a methodology they call “gh...

journals.sagepub.com

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Xiang Hui

@xianghui90

4 years

@kaizhu717 Félicitations!

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Xiang Hui

@xianghui90

2 years

Great points by @anup_malani on whether and how to write interdisciplinary research as a junior scholar. 👇

Anup Malani

@anup_malani

2 years

I do a lot of interdisciplinary work. Here are 4 hard lessons I've learned. They may help you be more successful (than me) if you want to work across fields.

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Xiang Hui

@xianghui90

4 years

@j2bryson @eBay @erikbryn @MengLiu_WUSTL @AnkeHassel @HelenaMalikova @PaulNemitz Many economists think AI boosts productivity, but it's important to have concrete measurement of it. . @erikbryn @ChadSyverson @danielrock have a nice paper explaining the reason behind poor measurement on Ai's effect on productivity.

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Xiang Hui

@xianghui90

4 years

@gzervas @sherryhe0919 It seems like for Anthony Davis, luck causes effort :)

Anthony Davis' Glow Up From Tiny, Afterthought HS Guard To NBA Superstar

You know Los Angeles Lakers superstar Anthony Davis right now, but he wasn't always so spectacular in size and skill. In fact, he was once no...

clutchpoints.com

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Xiang Hui

@xianghui90

4 years

@deaneckles @AndreyFradkin @benthompson @johnjhorton In addition to great answers in the thread, a tiered loyalty program that gives greater future value for sellers with larger number of transactions on the platform could help.

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Xiang Hui

@xianghui90

4 years

@danielascur @cesicruz You are becoming the twitter version of Horst

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Xiang Hui

@xianghui90

4 years

@j2bryson @erikbryn @emollick @MengLiu_WUSTL @DigEconLab @eBay I also think AI has already has big impact on the company. But it has not been measured well and we provided some causal measurement of it.

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Xiang Hui

@xianghui90

4 years

Blockchain = chain of blocks. I'm constantly amazed by folk wisdom.

Lynn Wu

@lynnwu02

4 years

That’s a cool idea.

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Xiang Hui

@xianghui90

3 years

@apo_filippas @MengLiu_WUSTL @erikbryn Haha not sure translation quality makes much difference here ;)

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Xiang Hui

@xianghui90

4 years

@RThomadsen @RThomadsen @songyao Cool paper! Different industries differ in their importance and transmission risks as seen in @SBenzell @avi_collis @CNicolaides . . It seems policy-relevant to document the heterogeneous effects of masks across these measures.

Rationing social contact during the COVID-19 pandemic: Transmission risk and social benefits of US...

To prevent the spread of coronavirus disease 2019 (COVID-19), some types of public spaces have been shut down while others remain open. These decis...

www.pnas.org

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Xiang Hui

@xianghui90

4 years

Having a very bad feeling that this guy is going to take full advantage of his case by arguing that covid is nothing, the democrats have overreacted, and he has been right since the beginning.

Donald J. Trump

@realDonaldTrump

4 years

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Xiang Hui

@xianghui90

4 years

Immunological memory to COVID for 8 months based on new research @ScienceMagazine

Prof. Shane Crotty

@profshanecrotty

4 years

1. Our COVID-19 paper on Immunological memory to SARS-CoV-2 assessed for up to 8 months after infection is out today in @ScienceMagazine ! @ljiresearch @SetteLab @Dani6020

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Xiang Hui

@xianghui90

4 years

@deaneckles China vs. greater china

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Xiang Hui

@xianghui90

4 years

@SeilerStephan @deaneckles @gzervas @MishaTeplitskiy @grazzidad @btshapir @eLife It may be useful to distinguish comments that have objective validity vs those that are subjective. In the first case, the benefit of removing wrong negative comments prevails, but in the second case, the harm from negative reinforcement may dominate.

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Xiang Hui

@xianghui90

2 years

@avi_collis @wytham88 Yep, and one needs to retake written and road tests if the time it takes to renew the status (which can be outside our control) is longer than the grace period that DMVs set. My guess is more internationals needed to retake the exams/get a new license after the Covid disruptions.

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Xiang Hui

@xianghui90

2 years

@yesimorhun Brain on fire sounds terrible. Hope you get better very soon!

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Xiang Hui

@xianghui90

4 years

@wytham88 No worries man you have good heart that's worth $400k annual income

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Xiang Hui

@xianghui90

2 years

We know these cases b/c seller needs to pick a reason for rating revision, and buyer needs to accept it. B/c seller has *1* chance for revision, it's unlikely for seller to pick the 2nd reason, implying buyer fault,if that's not true.(this holds even if there's seller bribery)6/9

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Xiang Hui

@xianghui90

4 years

@pauljhealy I'm not sure but I doubt it. I think recruiters at top chinese schools know the hiring tactics that their competitors use from their network or the candidates they interview. I think most people are reasonable and will sympathesize with candidates that get shady offers.

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Xiang Hui

@xianghui90

4 years

@j2bryson @eBay @erikbryn @MengLiu_WUSTL @AnkeHassel @HelenaMalikova @PaulNemitz @ChadSyverson @danielrock Here's the correct link to their paper

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Xiang Hui

@xianghui90

4 years

@deaneckles Putting aside all the endogeneity problems, it's very hard to interpret the result without knowing what people do to replace time on FB. Do they switch to Tiktok? Do they start baking? Perhaps the takeaway is that watching more dog videos on tiktok releases stress. Who knows

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Xiang Hui

@xianghui90

4 years

@gzervas The algo is iterative and converges regardless of initial parameter choice

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Xiang Hui

@xianghui90

4 years

@emollick Thanks for the tweet!

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Xiang Hui

@xianghui90

4 years

@dade_us Worse outside options

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Xiang Hui

@xianghui90

2 years

@avicgoldfarb @joshgans @professor_ajay Pre-ordered. Can't wait!

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Xiang Hui

@xianghui90

4 years

@DogmaticPrior @danielrock Maybe not that pissed if creatures in other multiverse have already done this.

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Xiang Hui

@xianghui90

4 years

@jugander @deaneckles @AndreyFradkin @benthompson @johnjhorton Grace is on twitter @yuangu_

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Xiang Hui

@xianghui90

4 years

@OrgStratProf The one due soon? Journals have two important stats on new submission: average decision time and %decisions above some threshold. If you were a journal, then finish the one due soon doesn't change average decision time but improve the second measure.

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Xiang Hui

@xianghui90

4 years

@KirbyKNielsen Sorry I meant five lectures in a single course. I would not have survived prepping for five courses 😂 good luck with your spring semester!

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Xiang Hui

@xianghui90

4 years

@pauljhealy Never seen a conditional interview request like this. I've heard of schools that would extend an offer only if the candidate verbally commits to come. As far as I know reneging any informal contract has no legal consequence in china.

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Xiang Hui

@xianghui90

4 years

@gzervas @PHuenermund Then authors will show a large number of irrelevant and unimportant cases where the models fail 😂

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Xiang Hui

@xianghui90

3 years

@OrgStratProf @sethcarnahan @WUSTL @WUSTLbusiness Congratulations man! @sethcarnahan

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Xiang Hui

@xianghui90

4 years

@KalindaUkanwa @yesimorhun Have you tried the rich text mode? It works great for my copy editor.

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Xiang Hui

@xianghui90

3 years

@deaneckles @erikbryn Thanks @deaneckles . Indeed, language barrier should cause even more frictions for offline trade, as it will not only affect search and communicating product attributes, but also establishing the entire trade infrastructure, eg trust,logistics, payment etc

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Xiang Hui

@xianghui90

4 years

@btshapir @gzervas Yep. Hopefully @gzervas will make more bread so eventually we know the answer.

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Xiang Hui

@xianghui90

4 years

@danielascur Where did you get this? I thought they didn't ship it to the US.

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Xiang Hui

@xianghui90

4 years

@OhioStateFB IO!!

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Xiang Hui

@xianghui90

4 years

@gzervas It looks just-proofed. Although you should do some over-proofication test.

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Xiang Hui

@xianghui90

4 years

@erikbryn @DigEconLab In cases where not knowing fakes poses an externality, e.g. fake news, we need mandatory disclosure. But in other cases, disclosure if asked is good since some people who enjoy interacting with robots don't always want to be reminded that they are not humans, e.g. companionship.

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Xiang Hui

@xianghui90

4 years

@danielrock @phillymag Good stuff man

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Xiang Hui

@xianghui90

3 years

@KurtLavetti @pauljhealy The causal question would be: if I score 1 pt higher, all else equal, how will that affect my placement. The question doesn't quite make sense to me, and my guess is a null effect based on logic. Just my two cents tho.

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Xiang Hui

@xianghui90

4 years

@SeilerStephan @grazzidad @gzervas @btshapir Yes. Even just aligning each party's expectation would improve efficiency for everyone.

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Xiang Hui

@xianghui90

4 years

@gzervas @btshapir 10, or whatever R2 says.

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Xiang Hui

@xianghui90

4 years

@sebbie88 Once I bought UVXY, it dropped by 40% on the first day, up by 40% the second day, drop by 50% the next day, and up by 50% on the fourth day. Sad story...

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Xiang Hui

@xianghui90

4 years

@kleintob @YouTube A few points remind me of a quote by Stephen Covey: What is important is seldom urgent and what is urgent is seldom important.

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Xiang Hui

@xianghui90

4 years

@VioletteTongGuo That's sad...which journal is this?

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Xiang Hui

@xianghui90

4 years

@j2bryson @MengLiu_WUSTL The city has a lot to offer and we've very much enjoyed it.

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Xiang Hui

@xianghui90

4 years

@pauljhealy If not, then this says something about a department and it may not be a good choice anyways.

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Xiang Hui

@xianghui90

3 years

@SeilerStephan @MartinSGaynor Oh wow this is some real stuff. Impressive.

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Xiang Hui

@xianghui90

4 years

@gzervas 🤔 true. I wonder tho if the bus may converge too quickly and over shoot the maximum.

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Xiang Hui

@xianghui90

4 years

@Chanman_ECON You increased your fan base because of these sushi postings. I just followed you on IG.

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Xiang Hui

@xianghui90

4 years

@Prof_Yildirim They don't care sometimes?

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Xiang Hui

@xianghui90

3 years

@dbroockman 新年快乐，大卫。

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Xiang Hui

@xianghui90

2 years

@Ananya_Sen_ Thanks, Ananya🙏

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Xiang Hui

@xianghui90

4 years

@danielascur Your notes remind me of Laga distillers edition 2001. Because it's double matured it has an extra layer of sweetness from sherry casks, and the smoke becomes much more subtle (compared to Laga 16). It's one of my favorite islay scotch. Is the scotch you reviewed sherry casked?

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Xiang Hui

@xianghui90

4 years

@danielascur I see a couple of laphroaig in the background. You have a broad taste :)

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Xiang Hui

@xianghui90

4 years

@jeremyzyang Cool fact!

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Xiang Hui

@xianghui90

4 years

@marcfbellemare @KirbyKNielsen @SarahHBana These are great points. I wanna add that even if ratings do not give extra predictive power cndtn on revealed pref, firms may still want to learn the correlation matrices to hedge the risk of data regulation that may prohibit tracking of some but not all types of personal data.

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Xiang Hui

@xianghui90

4 years

@deaneckles Really cool paper!

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Xiang Hui

@xianghui90

4 years

@grazzidad @gzervas Interesting. I wonder how quality of the papers changes over time. Also an inverse U? when you start off, editors from good journals arent sure of you so you don't get good papers. This improves over time, but when you become an editor, the quality drops bc of a larger pool.

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Xiang Hui

@xianghui90

4 years

@susleec @OrgStratProf If I have that information, I'll review the up-for-tenure author first all else equal.

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Xiang Hui

@xianghui90

4 years

@KirbyKNielsen Ditto

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Xiang Hui

@xianghui90

2 years

First, a quick summary of our paper: 1.we write a Bayesian model of buyer’s rating decision. 2.we test model predictions using eBay data. 3.based on calibrated model, our simulation suggests that buyers learn about seller type in ~100 transactions even if ratings are biased. 2/9

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Xiang Hui

@xianghui90

3 years

@falsedvmaster HHKB pro2 or hybrid is great.

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Xiang Hui

@xianghui90

3 years

@aghose Like your long-term thinking and optimism 👍

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Xiang Hui

@xianghui90

4 years

@GuanyiYang Rye whiskey? Switch to scotch for proper celebration man.

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Xiang Hui

@xianghui90

4 years

I'll use these cool examples in my causal inference class. Thanks for sharing @emollick !

Ethan Mollick

@emollick

4 years

I really like the list of case studies of where data misleads, since it give you a chance to test your reasoning about data. For example: why does this data show rap & metal musicians die so much earlier than blues & jazz musicians?

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Xiang Hui

@xianghui90

4 years

@SBenzell @timnitGebru I don't think that's the reason

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Xiang Hui

@xianghui90

4 years

"The practice of optimizing metrics is not new nor unique to AI, yet AI can be particularly efficient (even too efficient!) at doing so."

𝐒𝐞𝐧𝐝𝐡𝐢𝐥 𝐌𝐮𝐥𝐥𝐚𝐢𝐧𝐚𝐭𝐡𝐚𝐧

@m_sendhil

4 years

We talk about algorithms and data. We should spend more time talking about metrics. @math_rachel lays out teh case persuasively:

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Xiang Hui

@xianghui90

4 years

@SeilerStephan @grazzidad @gzervas That's good to know. It happened to me as well. I don't think it's you mellowing out. I think it's bc asymmetric information about your quality as a reviewer and as a researcher gradually reveals.

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Xiang Hui

@xianghui90

4 years

@nccyang 🤣 🤣 Yep, it's literally a commitment device

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Xiang Hui

@xianghui90

4 years

@danielascur That's interesting. I will give this a try some time. Thank you for sharing the tasting notes- I've much enjoyed them.

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Xiang Hui

@xianghui90

4 years

@GuanyiYang Hunger + insomnia + drunk is worse...

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Xiang Hui

@xianghui90

4 years

@Prof_Yildirim Ex ante, there's a tradeoff between explaining for a longer time vs explaining for a shorter but involving more thinking. If you mean ex post, I guess it depends on their prior belief of whether a not so simple communication is sufficient to get the idea though.

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Xiang Hui

@xianghui90

2 years

Intuitively, although buyers see very positive aggregate seller ratings, they do not interpret it literally to the extent that they understand the process through which ratings are given. Therefore, ratings can be still quite informative despite it being biased. 8/9

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Xiang Hui

@xianghui90

4 years

@yesimorhun Some students thought I was teaching casual inference.

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Xiang Hui

@xianghui90

2 years

The "subtle" difference leads to dramatically different predictions. E.g. suppose a very reputable seller receives a negative rating, our model predicts a higher likelihood of receiving any rating, especially so for a negative rating. The other model predicts the opposite. 4/9

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Xiang Hui

@xianghui90

2 years

More results and discussion in the paper. Please reach out to us if you have thoughts or comments. Link: 9/9

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Xiang Hui

@xianghui90

4 years

@yesimorhun I find making smoothies stress relieving. I enjoy taking some time to wash, cut, and blend different veges and fruits. I know some colleague find vacuuming in the morning calming. Hope you'll find something that works for you!

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Xiang Hui

@xianghui90

4 years

@CFCamerer So do you think that the problem will be gone largely if not all ratings are at 5?

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Xiang Hui

@xianghui90

4 years

@gzervas @grazzidad @SeilerStephan @btshapir Interesting. I guess there's larger heterogeneity in how editors like their reports to be written in than I thought.

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Xiang Hui

@xianghui90

4 years

@MishaTeplitskiy Interesting. Any idea why the experiment is done on novice reviewers only?

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Xiang Hui

@xianghui90

4 years

@gzervas I see. I've never heard or seen the use of this word in my region (northern china). Anyways, the bread you made looks soft and delicious. And nice picture!

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