Table 3: **Tone of migration-related news at destination and migrants’ movement: Robustness checks**

||||Share of mig|rants in FMP|who are lo|ng-stayers|||
|---|---|---|---|---|---|---|---|---|
||(1)|(2)|(3)|(4)|(5)|(6)|(7)|(8)|
|Tone of the news at destination (median)|-0.0312*<br>(0.0177)||||||||
|Tone of the news at destination||-0.4025***|-0.1052*|-0.1582***|-0.0331*|-0.0255*|-0.0300*||
|||(0.1302)|(0.0564)|(0.0503)|(0.0170)|(0.0163)|(0.0172)||
|Tone of the news at destination when|||||||||
|High intensity patrolling<br>Low intensity patrolling||||||||-0.13921*<br>(0.07281)<br>-0.1020*<br>(0.0550)|
|Other controls|Yes|Yes|Yes|Yes|Yes|Yes|Yes|Yes|
|FMP FEs|Yes|Yes|Yes|Yes|Yes|Yes|Yes|Yes|
|Year-month fxed FEs|Yes|Yes|Yes|Yes|Yes|Yes|Yes|Yes|
|Country of destination FEs|Yes|Yes|Yes|Yes|Yes|Yes|Yes|Yes|
|Country of origin FEs|Yes|Yes|Yes|Yes|Yes|Yes|Yes|Yes|
|Country of destination * time trend|No|No|No|No|Yes|No|No|No|
|Country of origin * time trend|No|No|No|No|No|Yes|No|No|
|Government political orientation controls|No|No|No|No|No|No|Yes|No|
|Wald Test [p.value]||||||||0.24 [0.62]|
|Estimator|OLS|OLS|OLS|Fractional<br>Probit|OLS|OLS|OLS|OLS|
|Sample|Full|Resticted|No Arrivals|Full|Full|Full|Full|After 2017|
|Number of Observations|1,568|201|239|1,568|1,568|1,568|1,568|1,024|

_Notes:_ Results from OLS in columns 1 to 3, and 5 to 8. Results from Fractional Probit in column 4. For columns 1-3, and 5-8, standardized estimated coefficients are reported. Standardization of coefficients is obtained using the formula<sup>_sd_</sup> _sd_<sup><u>(</u></sup> (<sup>_x_</sup> _y_ )<sup><u>)</u></sup><sup>_βx_,where</sup><sup>_βx_isthepointestimateassociatedtocontrolvariable</sup><sup>_x_,while</sup><sup>_sd_(</sup><sup>_x_)and</sup><sup>_sd_(</sup><sup>_y_)indicate</sup> the standard deviation or respectively control variable _x_ and dependent variable _y_ . Standard errors clustered at the FMP level in brackets. The dependent variable _Share of migrants in the FMP who are long-stayers_ is the share of migrants in the FMP _i_ in month _m_ in year _t_ who report being in that location for more than 6 months. The variable _Tone of the news at destination_ ( _Tone News Destinationsi,m−_ 1 _,t_ ) is the average tone of migration-related news articles published in the top destination countries for migrants in FMP _i_ in month _m −_ 1 in year _t_ . _Restricted_ sample includes only FMPs for which the percentage of long stayers in the FMP at month _m_ is equal or more than 75%, and the number of arrivals at month _m+1_ is equal to zero. _No Arrivals_ sample includes only FMPs in which no migrants arrived at month _m_ . The Wald _χ_<sup>2</sup> test in column (7) evaluates the statistical difference of point estimates between variables _Tone of the news at destination when High Intensity Patrolling_ and _Tone of the news at destination when Low Intensity Patrolling_ . The variable “Tone of the news at destination (median)” is equal to the average value of the median tone of migration-related news published in the destination countries for migrants in FMP _i_ in month _m-1_ . “Other controls” include: _Intensity of night lights within 5 km_ ; _Number of conflicts within 5 km_ ; _FMP with migrants planning to remain in Libya (1 = Yes)_ ; _FMP with migrants planning to return home (1 = Yes)_ . “Government orientation controls“ include: the _Rile Index Coalitioni,m,t_ for each of the main destination countries (i.e., Italy, France, Germany, Spain, and UK) and the dummy variable _Change of cabineti,m,t_ . All other variables are defined in Tables A1 and A2 and additional details are provided in Section 4. *, **, *** indicate statistical significance at the 10%, 5%, and 1%, respectively.