Version 0.6.0

• Matched keyword arguments to StatsBase
• Renamed hausman_1s to hausman_test and hausman_2s to chow_test
• Updated dependencies and internals

Version 0.5.0

• New macro: @micromodel
• Updated dependencies and internals

Version 0.4.2

• New model: Gompit
• Patched forecasting for Cloglog

Version 0.4.1

• Hausman test for GMM
• Faster covariance estimation for cross-correlated data
• Patches for Julia 1.0

Version 0.4.0

First release for Julia 1.0

Version 0.3.0

Last release for Julia 0.6

• Models are now specified via dictionaries
• Microdata allows the specification of contrasts for categorical variables
• Out-of-sample forecast is available
• New method for linear regression: GMM
• New model for binary choice: complementary log-log
• Models for count data: Poisson, IV Poisson with additive errors and IV Poisson with multiplicative errors

Version 0.2.0

• Weight management is now based on StatsBase.jl
• New model: IPW
• New correlation structures: Two-way clustering, Time and Space
• Unique interface for CrossCorrelated
• Modified handling of the first stage and reduced form of IV
• Faster clustering algorithm
• hausman_test split into two functions (hausman_1s and hausman_2s)