Modeling and calculating the effect of treatment at baseline from panel outcomes - Chib, Siddhartha; Jacobi, Liana (Journal of econometrics, 2007)
Keywords: Algorithms; Applications; Bayesian analysis; Confounding; Counterfactual thinking; Earnings; Econometrics; Economic models; Exact sciences and technology; Heterogeneity; Impact analysis; Instrumental variable; Insurance, economics, finance; Labor market; Marginal likelihood; Markov analysis; Markov chain Monte Carlo; Markov processes; Markovian processes; Mathematics; Metropolis–Hastings algorithm; Monte Carlo simulation; Non-randomly assigned treatment; Numerical analysis; Numerical analysis. Scientific computation; Numerical methods in probability and statistics; Panel data; Parametric inference; Potential outcomes; Probability; Probability and statistics; Probability theory and stochastic processes; Sciences and techniques of general use; Secondary schools; Simulation; Sports; Statistics; Studies; Treatment effect; Instrumental variable; Heterogeneity; Metropolis–Hastings algorithm; Panel data; Potential outcomes; Markov chain Monte Carlo; Treatment effect; Confounding; Non-randomly assigned treatment; Marginal likelihood; Statistical distribution; Labour market; Metropolis-Hastings algorithm; Covariate; Stochastic method; Economic data; Implementation; Markov chain; Marginal distribution; Distribution function; Approximation theory; Bayes estimation; Economics; Monte Carlo method; Data analysis; Treatment efficiency; Econometric model; Statistical estimation; Joint distribution; Statistical method; Missing data; Numerical analysis; Simulation; Correlation analysis; Econometrics