Showing 1 - 10 of 149
In this paper, we describe a computational implementation of the Synthetic difference-in-differences (SDID) estimator of Arkhangelsky et al. (2021) for Stata. Synthetic difference-in-differences can be used in a wide class of circumstances where treatment effects on some particular policy or...
Persistent link: https://www.econbiz.de/10014261980
To date, empirical investigations of trade liberalization under the conditions of increasing returns to scale (IRS) and imperfect competition (IC) have either assumed or imposed the market and productive structures necessary for such a model. However, of the recent IRS/IC models used to simulate...
Persistent link: https://www.econbiz.de/10013124474
This paper describes a moments estimator for a standard state-space model with coefficients generated by a random walk. A penalized least squares estimation is linked to the GLS (Aitken) estimates of the corresponding linear model with time-invariant parameters. The VC estimates are moments...
Persistent link: https://www.econbiz.de/10012843151
The recent increase in the minimum wage in Romania in early May 2016 represented a popular topic at the national level, which indicated that aggressive increases in the minimum wage could create a competitiveness problem in the context of a relatively high level of informal economic activities....
Persistent link: https://www.econbiz.de/10012930951
This note is a companion to the Lilien (lilien) and Modified Lilien (mlilien) commands for computing the relative indices in STATA. The note illustrates the main features of the commands with an application to the structural determinants of regional unemployment
Persistent link: https://www.econbiz.de/10013086664
When considering multiple hypothesis tests simultaneously, standard statistical techniques will lead to over-rejection of null hypotheses unless the multiplicity of the testing framework is explicitly considered. In this paper we discuss the Romano-Wolf multiple hypothesis correction, and...
Persistent link: https://www.econbiz.de/10012844826
This article introduces lassopack, a suite of programs for regularized regression in Stata. lassopack implements lasso, square-root lasso, elastic net, ridge regression, adaptive lasso and post-estimation OLS. The methods are suitable for the high-dimensional setting where the number of...
Persistent link: https://www.econbiz.de/10012894061
This article presents the eqregsel command for implementing the estimation and bootstrap inference of sample selection models via extremal quantile regression. The command estimates a semiparametric sample selection model without instrument or large support regressor, and outputs the point...
Persistent link: https://www.econbiz.de/10012865763
Many studies estimate the impact of exposure to some quasi-experimental policy or event using a panel event study design. These models, as a generalized extension of 'difference-in-differences' or two-way fixed effect models, allow for dynamic lags and leads to the event of interest to be...
Persistent link: https://www.econbiz.de/10012827337
We discuss methods for calculating multivariate normal probabilities by simulation and two new Stata programs for this purpose: - mdraws - for deriving draws from the standard uniform density using either Halton or pseudo-random sequences, and an egen function - mvnp() - for calculating the...
Persistent link: https://www.econbiz.de/10013317606