RT @deaneckles: @sTeamTraen Does weather differentially affect turnout or vote choice? If you use historical weather as a null distribution…
@sTeamTraen Does weather differentially affect turnout or vote choice? If you use historical weather as a null distribution, many results suddenly don't look so strong: https://t.co/8OM9Hg1Mt7 (We also did this kind of thing in our use of weather instrume
@rmkubinec @KingsCollegeLon Maybe worth considering in the ideal point model is that there are spillovers of other regions' policies, which is some cases policy-makers can free ride on: https://t.co/bVwyvD7m1C
@Gary_Cornwall @jt_kerwin @tbarrios2 Agreed. And many spillovers aren't even geographically limited. Shamelessly: https://t.co/ZC0jm3pnSC
RT @jugander: H/t to the 2020 paper by @daveholtz @deaneckles @sinanaral & collabs! https://t.co/3Giq75TsXQ As a quick contrast, they focus…
H/t to the 2020 paper by @daveholtz @deaneckles @sinanaral & collabs! https://t.co/3Giq75TsXQ As a quick contrast, they focus on "I'm in lockdown but my friends aren't" spillovers. Our paper studies "My gym is closed but the gym across the county line
@chdausgaard @instrumenthull Not in a polisci journal, but dealing with compliance with public policies, we have this paper https://t.co/bVwyvD7m1C
@DLeonhardt Hi @DLeonhardt I agree and think it is an example of a larger failure to efficiently choose NPI measures. You can read about some of our published research here: https://t.co/M6ILntHpPO; https://t.co/Ea06E4g9ka; https://t.co/tyeurbWhc2
@nickchk Ah and here's the published link https://t.co/kLkwRzTluB For the really fun methods bits, you have to wade into the SI
@stephenjwild @ylelkes In this paper https://t.co/kLkwRzBKD3 we were worried about this. One thing we did was do robustness analyses using randomization inference, sampling eg historical weather data to generate the null distribution with realistic correla
RT @deaneckles: @jon_m_rob I'm naturally wondering about how spillovers/interference may bias things here, likely towards the null Cf http…
@jon_m_rob I'm naturally wondering about how spillovers/interference may bias things here, likely towards the null Cf https://t.co/kLkwRzBKD3
@elimin880 for sure. this paper is about peer effects (mediated through social media) on behavior early in the pandemic. it shows pretty convincingly these can be as strong as actual 'lockdowns' https://t.co/R1lpUEyNFz
This work extends earlier work the three of us put out last year in PNAS with a number of coauthors (https://t.co/x0XCW250iP), and is unfortunately particularly relevant and timely as mask mandates are being put back in place across the US.
We looked at social influence in more general social distancing behaviors https://t.co/kLkwRzBKD3 (and @stroebel_econ looked at spread of COVID https://t.co/Ld11LU2b4p). But it seems useful to understand how other specific, discretionary decisions were af
Interdependence and the cost of uncoordinated responses to COVID-19 https://t.co/Pw1eD4VHOv
RT @deaneckles: @NoahHaber @Jabaluck We documented substantial spillovers in social distancing via geo & social networks here https://t.co…
@NoahHaber @Jabaluck We documented substantial spillovers in social distancing via geo & social networks here https://t.co/kLkwRzBKD3
RT @deaneckles: How people respond to policies in their own jurisdiction depends on many social & cultural factors — including policies whe…
RT @deaneckles: How people respond to policies in their own jurisdiction depends on many social & cultural factors — including policies whe…
How people respond to policies in their own jurisdiction depends on many social & cultural factors — including policies where their social contacts live and what those contacts are doing. Our study of this from nearly a year ago: https://t.co/kLkwRzBK
@DKThomp Indeed, social influence seems to have played a big part in many behaviors, such that a state's policy is only one ingredient (though one that also affects people outside that state!) https://t.co/kLkwRzBKD3 https://t.co/m71gdv6ZXn
Here's our study: https://t.co/Q1Z39k6jx9
RT @sinanaral: #COVID cases are spiking in NY and nationwide after spring breakers return home... We've been warning about this for 8 month…
RT @sinanaral: #COVID cases are spiking in NY and nationwide after spring breakers return home... We've been warning about this for 8 month…
#COVID cases are spiking in NY and nationwide after spring breakers return home... We've been warning about this for 8 months... https://t.co/dLxA4YENve
oh no what are network adjacency adjusted SEs why is there always more econometrics to learn
@VC31415 @jmwooldridge Though is it really assigned independently at the county level? In our NPI + spillovers paper https://t.co/kLkwRzBKD3 we use state-cluster- and network-adjacency-robust SEs. We also do randomization inference, with some of each of
@MariosZachariad @TsioutisC @Dietis_Lab_UCY Υπάρχουν, τουλάχιστον από Αμερική. Διαφορές στα μέτρα μεταξύ πολιτειών δημιουργούν spillovers https://t.co/ZNZapofpJF
@maya_rossin @jenniferdoleac @mike_luca @avi_collis @sinanaral oops here are those last links: https://t.co/CkMNTQ6oFG https://t.co/NJl07UKfIl and @serinachang5 @2plus2make5 & team: https://t.co/5u96HUInhf
RT @deaneckles: A recent survey with results consistent with our study of spillovers in social distancing, where we find that shocks to mob…
RT @deaneckles: A recent survey with results consistent with our study of spillovers in social distancing, where we find that shocks to mob…
@GDezecache @TheBJPsych You might find our paper, where we use exogenous variation in peers' mobility behavior caused by weather and local industry shocks to investigate this causal relationship https://t.co/kLkwRzBKD3 https://t.co/1W8Wyhpk8p
A recent survey with results consistent with our study of spillovers in social distancing, where we find that shocks to mobility in peer counties affect mobility in the focal county https://t.co/kLkwRzBKD3
Our most recent research showed information shared over social media affects Coronavirus behaviors at scale 👇🏽 https://t.co/Q1Z39k6jx9
Why? Likely national coordination played an extremely important role. As we demonstrate in https://t.co/tyeurbWhc2 COVID infections create a negative externality problem. Each state + municipality has an incentive to be lax, and free ride off of others. 1
RT @deaneckles: There's clearly a big role for social influence on preventative behaviors during the pandemic. Both our research in May ht…
RT @deaneckles: There's clearly a big role for social influence on preventative behaviors during the pandemic. Both our research in May ht…
Hilo sobre efectos de influencia y contagio social en la evolución de la pandemia.
RT @deaneckles: There's clearly a big role for social influence on preventative behaviors during the pandemic. Both our research in May ht…
RT @deaneckles: There's clearly a big role for social influence on preventative behaviors during the pandemic. Both our research in May ht…
There's clearly a big role for social influence on preventative behaviors during the pandemic. Both our research in May https://t.co/ZC0jm3pnSC and @michaelcbailey @stroebel_econ et al.'s new paper with data through July find similar patterns https://t.co
RT @daveholtz: 📢 our paper on the costs of uncoordinated #COVID19 policies across US states and counties is now published in @PNASNews: htt…
RT @daveholtz: 📢 our paper on the costs of uncoordinated #COVID19 policies across US states and counties is now published in @PNASNews: htt…
@ProfLWiley any of these bear out Marm's theory that regs on indoor commercial activities have strong effect for private activity? I assume so based on empirical estimate of peer effects here https://t.co/R1lpUEyNFz but interested in other disciplinary app
RT @deaneckles: Whether customers actually show up to partake in (e.g.) indoor dining depends on many factors not so directly under the con…
RT @deaneckles: Whether customers actually show up to partake in (e.g.) indoor dining depends on many factors not so directly under the con…
Whether customers actually show up to partake in (e.g.) indoor dining depends on many factors not so directly under the control of policy-makers, such as social influence. This is point we made re: policies earlier in the pandemic https://t.co/kLkwRzBKD3
RT @deaneckles: How connected are two places on Facebook? This aggregated data is now entirely public with no data use agreement required.…
RT @deaneckles: How connected are two places on Facebook? This aggregated data is now entirely public with no data use agreement required.…
RT @deaneckles: How connected are two places on Facebook? This aggregated data is now entirely public with no data use agreement required.…
RT @deaneckles: How connected are two places on Facebook? This aggregated data is now entirely public with no data use agreement required.…
How connected are two places on Facebook? This aggregated data is now entirely public with no data use agreement required. This data was invaluable in our study of behavioral spillovers between counties and states in the US https://t.co/ZC0jm3pnSC
@avi_collis @dade_us @xianghui90 Don't forget our own paper! https://t.co/kLkwRzBKD3 For the spillovers part, one treatment variable is a fraction of peers with some policy. But yeah I think the theory isn't so well worked out for exactly what TWFE estim
@borusyak Neat! You might also be interested in this work, which seems like a special case https://t.co/BIkMtxmZAL We used sampling from historical weather data here https://t.co/ZC0jm3pnSC but didn't have a ready way to do something similar for our shift
@TimBartik @rodrikdani I love that... We used your approach (among others) here :) https://t.co/K0Go8PRYLP
@NoahHaber Agreed. The likely need to use a good epi model was one reason we didn't study disease outcomes in our COVID DiD with interference paper https://t.co/kLkwRzBKD3
Interdependencia y coste de respuestas no coordinadas a COVID-19→Patrones de movilidad de personas en un estado se ven sustancialmente afectados x políticas/comportamientos en otros estados, a veces distantes, acentuando necesidad de coordinación nacional
RT @deaneckles: Minimal effects of state policies? We found that if you don't account for geographic & social spillovers, policy effects lo…
RT @deaneckles: Minimal effects of state policies? We found that if you don't account for geographic & social spillovers, policy effects lo…
RT @deaneckles: Minimal effects of state policies? We found that if you don't account for geographic & social spillovers, policy effects lo…
RT @deaneckles: Minimal effects of state policies? We found that if you don't account for geographic & social spillovers, policy effects lo…
Minimal effects of state policies? We found that if you don't account for geographic & social spillovers, policy effects look smaller. Many states that "reopened" had network neighbors who didn't, dampening the effect. https://t.co/kLkwRzBKD3
RT @deaneckles: Social-media-induced #FOMO and social distancing: Whether people are going out and about is affected by what their (often d…
RT @deaneckles: Social-media-induced #FOMO and social distancing: Whether people are going out and about is affected by what their (often d…
@jiafengchen42 @alex_peys @lukestein @startupecon Not interacted with COVID cases though right? We used a rainfall (and temp) IV and interact with COVID policies, but, again, not cases https://t.co/PaXhfgA0gH
RT @PNASNews: In the United States, mobility patterns of people in one state are significantly influenced by social distancing policies in…
Interdependence and the cost of uncoordinated responses to COVID-19 [Social Sciences] https://t.co/guZWgQykbr @PNASNews
En este artículo se muestra que las medidas de confinamiento de una zona influyen en las conductas de otras zonas más o menos distantes. Interdependence and the cost of uncoordinated responses to COVID-19 https://t.co/NaSrxIirih via @PNAS
@ZakDavid @Andrew___Baker We used this for exploratory analyses to understand which instruments were most important in https://t.co/ZC0jm3pnSC @mfzhao @daveholtz Do something like: apply(cvlasso$glmnet.fit$beta, 1, function(x) { cvlasso$glmnet.fit$lambda
RT @jmayer0716: Interdependence and the cost of uncoordinated responses to #COVID-19 | PNAS Interesting paper arguing/proving that policie…
RT @deaneckles: @EpiEllie Diff-in-diff with a small number of clusters? Can use randomization inference instead, as we do in https://t.co/…
RT @net_science: Interdependence and the cost of uncoordinated responses to COVID-19 [Social Sciences] https://t.co/bdBJJnjDSj
RT @net_science: Interdependence and the cost of uncoordinated responses to COVID-19 [Social Sciences] https://t.co/bdBJJnjDSj
RT @net_science: Interdependence and the cost of uncoordinated responses to COVID-19 [Social Sciences] https://t.co/bdBJJnjDSj
RT @net_science: Interdependence and the cost of uncoordinated responses to COVID-19 [Social Sciences] https://t.co/bdBJJnjDSj
RT @net_science: Interdependence and the cost of uncoordinated responses to COVID-19 [Social Sciences] https://t.co/bdBJJnjDSj
Interdependence and the cost of uncoordinated responses to COVID-19 [Social Sciences] https://t.co/bdBJJnjDSj
RT @deaneckles: @EpiEllie Diff-in-diff with a small number of clusters? Can use randomization inference instead, as we do in https://t.co/…
@EpiEllie Diff-in-diff with a small number of clusters? Can use randomization inference instead, as we do in https://t.co/PaXhfgA0gH which is studied for here https://t.co/aYoCFzr5U9
Interdependence and the cost of uncoordinated responses to COVID-19 | PNAS https://t.co/MTJzc0INfH
Interdependence and the cost of uncoordinated responses to COVID-19 | PNAS https://t.co/AkYTFrfxiH
RT @jmayer0716: Interdependence and the cost of uncoordinated responses to #COVID-19 | PNAS Interesting paper arguing/proving that policie…
Interdependence and the cost of uncoordinated responses to #COVID-19 | PNAS Interesting paper arguing/proving that policies and activities in 1 area affect other areas—intuitive geographical notion #epitwitter https://t.co/1g3pwHkwjp
RT @pash22: Interdependence and the cost of uncoordinated responses to COVID-19 https://t.co/Ny3TSti5YU via @dhillon_p et al @giridar100
RT @pash22: Interdependence and the cost of uncoordinated responses to COVID-19 https://t.co/Ny3TSti5YU via @dhillon_p et al @giridar100
RT @pash22: Interdependence and the cost of uncoordinated responses to COVID-19 https://t.co/Ny3TSti5YU via @dhillon_p et al @giridar100
RT @pash22: Interdependence and the cost of uncoordinated responses to COVID-19 https://t.co/Ny3TSti5YU via @dhillon_p et al @giridar100
Interdependence and the cost of uncoordinated responses to COVID-19 https://t.co/Ny3TSti5YU via @dhillon_p et al @giridar100
@youyanggu @benconomics Much variation in behavior is attributable to non-policy factors (including social influence). But also social influence means policies (like shelter in place) provide "free treatments" to other states, but also this masks their tot
Interdependence and the cost of uncoordinated responses to COVID-19 https://t.co/jwE9cqXuoB
RT @PNASNews: In the United States, mobility patterns of people in one state are significantly influenced by social distancing policies in…
RT @PNASNews: In the United States, mobility patterns of people in one state are significantly influenced by social distancing policies in…
RT @PNASNews: In the United States, mobility patterns of people in one state are significantly influenced by social distancing policies in…
RT @PNASNews: In the United States, mobility patterns of people in one state are significantly influenced by social distancing policies in…
RT @dhillon_p: I did a Q/A based on our just published PNAS Study (@PNASNews) on the social and geographical spillovers of states' response…
RT @dhillon_p: Super excited to see our paper on measurement & impact of social & geo spillovers in #COVID19 in @PNASNews! 16 authors, acro…
RT @RegaCarlos: Tremenda investigación. La movilidad de la gente en un lado es influenciada fuertemente por las políticas de apertura adopt…