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due to mismeasured variables. We consider sample merger by matching on identifiers that may be imperfect in the case that …
Persistent link: https://www.econbiz.de/10014024940
-- Experiments -- Matching -- Instrumental Variables -- Regression Discontinuity Design -- Panel Data and fixed effects -- Difference … packages for specific causal inference techniques like ggdag, Matching, rdrobust, dosearch etc. are used in the book. The book …, matching, panel data, difference-in-differences, regression discontinuity design, instrumental variables and meta …
Persistent link: https://www.econbiz.de/10014375030
Persistent link: https://www.econbiz.de/10011339894
discussed: traditional regression methods, matching, control function methods, instrumental variable and local instrumental …
Persistent link: https://www.econbiz.de/10014024660
Many commonly used treatment effects estimators rely on the unconfoundedness assumption ("selection on observables") which is fundamentally non-testable. When evaluating the effects of labor market policies, researchers need to observe variables that affect both treatment participation and labor...
Persistent link: https://www.econbiz.de/10010386595
ExpEnd is a Gauss programme for non-linear generalised method of moments (GMM) estimation of exponential models with endogenous regressors for cross section and panel data. The estimators included in this package are simple Poisson pseudo ML; GMM for cross section data using moment conditions...
Persistent link: https://www.econbiz.de/10010318531
Involuntary job loss in administrative data is commonly identified by focusing on mass-layoffs or plant closures. However, such events usually do not happen without prior knowledge, which potentially leads to selection in the labor turnover of distressed firms. We find that workers separating...
Persistent link: https://www.econbiz.de/10010264326
This paper presents a generalized moments (GM) approach to estimating an R-th order spatial regressive process in a panel data error component model. We derive moment conditions to estimate the parameters of the higher order spatial regressive process and the optimal weighting matrix required to...
Persistent link: https://www.econbiz.de/10010264361
This paper develops an estimator for higher-order spatial autoregressive panel data error component models with spatial autoregressive disturbances, SARAR(R,S). We derive the moment conditions and optimal weighting matrix without distributional assumptions for a generalized moments (GM)...
Persistent link: https://www.econbiz.de/10010264566
This paper re-examines inference for cluster samples. Sensitivity analysis is proposed as a new method to perform inference when the number of groups is small. Based on estimations using disaggregated data, the sensitivity of the standard errors with respect to the variance of the cluster...
Persistent link: https://www.econbiz.de/10010273962