Results 191 to 200 of about 33,788 (311)

Improving the Finite Sample Estimation of Average Treatment Effects Using Double/Debiased Machine Learning With Propensity Score Calibration

open access: yesJournal of Applied Econometrics, EarlyView.
ABSTRACT Double/debiased machine learning (DML) uses for estimating an average treatment effect (ATE) a double‐robust score function that relies on the prediction of nuisance functions, such as the propensity score, which is the probability of treatment assignment given covariates.
Daniele Ballinari, Nora Bearth
wiley   +1 more source

Phase randomisation: a convergence diagnostic test for MCMC [PDF]

open access: yes
Most MCMC users address the convergence problem by applying diagnostic tools to the output produced by running their samplers. Potentially useful diagnostics may be borrowed from diverse areas such as time series.
Rodney C Wolff   +2 more
core   +1 more source

A Joint Test of Unconfoundedness and Common Trends

open access: yesJournal of Applied Econometrics, EarlyView.
ABSTRACT We introduce an overidentification test of two alternative assumptions to identify the average treatment effect on the treated in a two‐period panel data setting: unconfoundedness and common trends. Under unconfoundedness, treatment assignment and post‐treatment outcomes are independent, conditional on control variables and pre‐treatment ...
Martin Huber, Eva‐Maria Oeß
wiley   +1 more source

Panel Data Stochastic Convergence Analysis of the Mexican Regions [PDF]

open access: yes
The stochastic convergence amongst Mexican Federal entities is analyzed in panel data framework. The joint consideration of cross-section dependence and multiple structural breaks is required to ensure that the statistical inference is based on ...
Vicente German-Soto   +1 more
core  

Bayesian Multi-Model Comparison and Nonlinear Mixed Modelling of Growth Trajectories in Denizli Chickens. [PDF]

open access: yesAnimals (Basel)
Manav HR   +5 more
europepmc   +1 more source

Identifying Peer Effects in Networks with Unobserved Effort and Isolated Students

open access: yesJournal of Applied Econometrics, EarlyView.
ABSTRACT Peer influence on effort devoted to some activity is often studied when effort is unobserved, and the researcher instead observes an outcome that combines effort with other shocks. For instance, in education, achievement measures such as GPA reflect both effort and idiosyncratic GPA shocks.
Aristide Houndetoungan   +2 more
wiley   +1 more source

Causal K-Means Clustering. [PDF]

open access: yesJ R Stat Soc Series B Stat Methodol
Kim K, Kim J, Kennedy EH.
europepmc   +1 more source

Hitting Times in the Binomial Random Graph

open access: yesJournal of Graph Theory, EarlyView.
ABSTRACT Fix k ≥ 2 $k\ge 2$, choose log n n ( k − 1 ) ∕ k ≤ p ≤ 1 − Ω ( log 4 n n ) $\frac{\mathrm{log}n}{{n}^{(k-1)\unicode{x02215}k}}\le p\le 1-{\rm{\Omega }}(\frac{{\mathrm{log}}^{4}n}{n})$, and consider G ~ G ( n , p ) $G\unicode{x0007E}G(n,p)$. For any pair of vertices v , w ∈ V ( G ) $v,w\in V(G)$, we give a simple and precise formula for the ...
Bertille Granet   +2 more
wiley   +1 more source

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