x_IT ex_IT
a close up of elon musk 's face with a blue cross across it
ALT: a close up of elon musk 's face with a blue cross across it
media.tenor.com
May 7, 2025 at 9:18 PM
x_IT ex_IT
Cable X NOT even smart enf to know if your show is coming up next has to interrupt say Tune in or Dismiss when you're on the channel. BTW what's going on that Comcast XF is using just X now... is it being SWALLOWED VOMITED UP by the crooks Tr47mP Lies of mP m US < kRAT games? #stopX #eX_IT #X_it
May 7, 2025 at 9:13 PM
George Soros and the Open Society Foundations in South Africa
YouTube video by Open Society Foundations
youtu.be
February 7, 2025 at 5:55 PM
February 27, 2025 at 4:23 PM
Dammit! Forgot it can 24h for X to archive your account.☹️ I was going to flounce off X today!💃🕺
Bet it didn’t take Musk that long to hack US counting machines - he’d have got it down 2 a click of a mouse! #X_It #HelloQuitteX
Bet it didn’t take Musk that long to hack US counting machines - he’d have got it down 2 a click of a mouse! #X_It #HelloQuitteX
January 20, 2025 at 8:02 AM
Dammit! Forgot it can 24h for X to archive your account.☹️ I was going to flounce off X today!💃🕺
Bet it didn’t take Musk that long to hack US counting machines - he’d have got it down 2 a click of a mouse! #X_It #HelloQuitteX
Bet it didn’t take Musk that long to hack US counting machines - he’d have got it down 2 a click of a mouse! #X_It #HelloQuitteX
Variation de la Fée-Dragée : CASSE-NOISETTE | Ballet du Bolchoï au cinéma saison 21/22 - https://youtube.com/watch?v=CUq6whrGTUA&si=HSdAzUNLKlO-X_IT
Variation de la Fée-Dragée : CASSE-NOISETTE | Ballet du Bolchoï au cinéma saison 21/22 - YouTube
Dimanche 19 décembre 2021 à 16h au cinéma partout en France. Informations et réservations : https://www.pathelive.com/casse-noisette-21-22#map-anchorLa parti...
youtube.com
December 15, 2024 at 11:56 AM
Variation de la Fée-Dragée : CASSE-NOISETTE | Ballet du Bolchoï au cinéma saison 21/22 - https://youtube.com/watch?v=CUq6whrGTUA&si=HSdAzUNLKlO-X_IT
Musk's restructuring of American public administration will surely be as successful as his restructuring of Twitter/X, only without the handwashing basin 😜 #x_it
November 28, 2024 at 8:27 AM
Musk's restructuring of American public administration will surely be as successful as his restructuring of Twitter/X, only without the handwashing basin 😜 #x_it
For FE-OLS, we only need this for the linear expecation
E(y_it|X_i1,...,X_iT,alpha_i)==E(y_it|X_it,alpha_i). Completely different deal. You get somewhat further with the Mundlak device, but in some fields is not discussed, or when the focus is on other differences of the two modelling classes
E(y_it|X_i1,...,X_iT,alpha_i)==E(y_it|X_it,alpha_i). Completely different deal. You get somewhat further with the Mundlak device, but in some fields is not discussed, or when the focus is on other differences of the two modelling classes
November 6, 2025 at 11:37 AM
For FE-OLS, we only need this for the linear expecation
E(y_it|X_i1,...,X_iT,alpha_i)==E(y_it|X_it,alpha_i). Completely different deal. You get somewhat further with the Mundlak device, but in some fields is not discussed, or when the focus is on other differences of the two modelling classes
E(y_it|X_i1,...,X_iT,alpha_i)==E(y_it|X_it,alpha_i). Completely different deal. You get somewhat further with the Mundlak device, but in some fields is not discussed, or when the focus is on other differences of the two modelling classes
example in mind is fixed-effects logit, and i would go out on a limb here, and extend this other likelihood based methods. for FE logit, we strict exogeneity in the conditional distribution D(y_it|X_i1,...,X_iT,alpha_i)==D(y_it|X_it,alpha_i).
November 6, 2025 at 11:37 AM
example in mind is fixed-effects logit, and i would go out on a limb here, and extend this other likelihood based methods. for FE logit, we strict exogeneity in the conditional distribution D(y_it|X_i1,...,X_iT,alpha_i)==D(y_it|X_it,alpha_i).
Más de 60 universidades alemanas anuncian que dejan X por su orientación antidemocrática https://t.co/xcQcuXhmUq Informa @ForeignSER
Más de 60 universidades alemanas anuncian que dejan X por su orientación antidemocrática
"Como instituciones científicas no podemos aceptar esto", señalan | Cadena SER
cadenaser.com
January 10, 2025 at 6:52 PM
Pues ya me fui de X.
January 9, 2025 at 5:29 PM
For example, let's say I have a bunch of time-varying variables x_it, and I also have a variable that represents job tenure. If I included in the regression all the x_it time-varying covariates, their means x_i, the job tenure main effect, then the interactions (job tenure) * x_i, what would that do
October 17, 2024 at 11:36 PM
For example, let's say I have a bunch of time-varying variables x_it, and I also have a variable that represents job tenure. If I included in the regression all the x_it time-varying covariates, their means x_i, the job tenure main effect, then the interactions (job tenure) * x_i, what would that do
I would think one reason you might get different estimates for b1 and b2, would be if the interaction of X_it*D_i for one or more of the controls is confounding variable itself, so (1) had OVB by not including the interaction.
December 17, 2024 at 2:50 PM
I would think one reason you might get different estimates for b1 and b2, would be if the interaction of X_it*D_i for one or more of the controls is confounding variable itself, so (1) had OVB by not including the interaction.
then,
you estimate (1) but condition the marginal effects of X_it on D_i (i.e., g1*X_it + g2*X_it*D_i).
if you get different estimates for b1 and b2 in both specifications, what is that telling you?
does interacting controls with a group classifier violate any fundamental assumptions?
you estimate (1) but condition the marginal effects of X_it on D_i (i.e., g1*X_it + g2*X_it*D_i).
if you get different estimates for b1 and b2 in both specifications, what is that telling you?
does interacting controls with a group classifier violate any fundamental assumptions?
December 17, 2024 at 2:38 PM
then,
you estimate (1) but condition the marginal effects of X_it on D_i (i.e., g1*X_it + g2*X_it*D_i).
if you get different estimates for b1 and b2 in both specifications, what is that telling you?
does interacting controls with a group classifier violate any fundamental assumptions?
you estimate (1) but condition the marginal effects of X_it on D_i (i.e., g1*X_it + g2*X_it*D_i).
if you get different estimates for b1 and b2 in both specifications, what is that telling you?
does interacting controls with a group classifier violate any fundamental assumptions?
📈📉 metrics question:
D_i is a time-invariant group classification
C_it is an exogenous continuous variable of interest
X_it are controls
you estimate a two-way FE regression:
Y_it = a_i + t_i + b1*C_it + b2*C_it*D_i + g*X_it + e_it (1)
you're interested in whether b1=b2.
D_i is a time-invariant group classification
C_it is an exogenous continuous variable of interest
X_it are controls
you estimate a two-way FE regression:
Y_it = a_i + t_i + b1*C_it + b2*C_it*D_i + g*X_it + e_it (1)
you're interested in whether b1=b2.
December 17, 2024 at 2:38 PM
📈📉 metrics question:
D_i is a time-invariant group classification
C_it is an exogenous continuous variable of interest
X_it are controls
you estimate a two-way FE regression:
Y_it = a_i + t_i + b1*C_it + b2*C_it*D_i + g*X_it + e_it (1)
you're interested in whether b1=b2.
D_i is a time-invariant group classification
C_it is an exogenous continuous variable of interest
X_it are controls
you estimate a two-way FE regression:
Y_it = a_i + t_i + b1*C_it + b2*C_it*D_i + g*X_it + e_it (1)
you're interested in whether b1=b2.