Exploring adolescent mental health & wellbeing 📊
Causal Inference | Applied Econometrics 🌍
More detail in here 👉 tinyurl.com/yffvjp4x
@erthornton.bsky.social @neilhumphrey.bsky.social @olademk.bsky.social @qiqicheng.bsky.social
🔗 www.ourwellbeingourvoice.org
🎥 Watch his speech below 👇
🔗 www.ourwellbeingourvoice.org
🎥 Watch his speech below 👇
#LGBTQ #YouthMentalHealth #AcademicSky
#LGBTQ #YouthMentalHealth #AcademicSky
Services like Free2Talk offer life-changing, cost-effective help, but they need greater support. 1/7
pbe.co.uk/publications...
Services like Free2Talk offer life-changing, cost-effective help, but they need greater support. 1/7
pbe.co.uk/publications...
It was fantastic to work with partners and young people to think about next steps to take in response to the latest data.
It was fantastic to work with partners and young people to think about next steps to take in response to the latest data.
@bigchangecharity.bsky.social
@bigchangecharity.bsky.social
Quasi-Bayes in Latent Variable Models () Latent variable models are widely used to account for unobserved determinants
of economic behavior. Traditional nonparametric methods to estimate latent
heterogeneity do not scale well into multidimensional settings. Distributional
restrictions all
Quasi-Bayes in Latent Variable Models () Latent variable models are widely used to account for unobserved determinants
of economic behavior. Traditional nonparametric methods to estimate latent
heterogeneity do not scale well into multidimensional settings. Distributional
restrictions all
A new #BeeWell blog highlights the importance of involving young people with special educational needs and disabilities (SEND) in decision making.
A new #BeeWell blog highlights the importance of involving young people with special educational needs and disabilities (SEND) in decision making.
Open access so fill yer boots
Open access so fill yer boots
Y(i,t) on W(i,t), W(i,t)*[X(i) - X1_bar], 1, D(i), X(i), D(i)*[X(i) - X1_bar], f2_t, f2_t*[X(i) - X1_bar]
Coef on W(i,t) = D(i)*f2_t is the same ATT estimate.
Y(i,t) on W(i,t), W(i,t)*[X(i) - X1_bar], 1, D(i), X(i), D(i)*[X(i) - X1_bar], f2_t, f2_t*[X(i) - X1_bar]
Coef on W(i,t) = D(i)*f2_t is the same ATT estimate.