PR for #74: 2.1.0 release (#77)

* #74 update files to reflect new release

* #74 maintain update list for xtevent 2.0.0

* #74 update release date in ado files

README.md

@@ -9,13 +9,19 @@ Stata package `xtevent` estimates linear panel event-study models.
 `xtevent` is a Stata package to estimate linear panel event-study models. It includes three commands: `xtevent` for estimation; `xteventplot` to create event-study plots and; `xteventtest` for post-estimation hypotheses testing. 
 
 
-- Last version: 2.0.0 (24jun2022)
+- Last version: 2.1.0 (1aug2022)
 - Current SSC version: 2.0.0 (24jun2022)
 -----------
 
 ### Updates
+* **Version 2.1.0 (1aug2022)**:
+    - Adds `diffavg` option to `xtevent` to obtain the difference between the average post-event and pre-event coefficient estimates. 
+    - Adds `textboxoption` option to `xteventplot` to specify characteristics for displaying the p-values of the pre-trend and leveling-off tests.
+    - Fixed bugs present in version 2.0.0
+    - See [here](https://github.com/JMSLab/xtevent/releases/tag/v2.1.0)  for the complete update list.
+
 * **Version 2.0.0 (24jun2022)**:
-    - Add `impute` option for imputing missing values in the policy variable according to several available rules. See the help file to know more about the available imputation rules. 
+    - Adds `impute` option for imputing missing values in the policy variable according to several available rules. See the help file to know more about the available imputation rules. 
     - The option `nonstaggered` has been depreciated. The default option is now not to impute missing values or endpoints.   You should now choose any of the imputation rules in the `impute` option. To get results using imputation consistent with staggered adoption, as in version 1.0.0 you should use `impute(stag)`.
     - Now the option `trend` allows for trend adjustment by either OLS or GMM.
     - Fixed several bugs present in version 1.0.0
@@ -65,12 +71,13 @@ net install xtevent, from("https://raw.githubusercontent.com/JMSLab/xtevent/mast
 -----------
 
 ### To get started
-
-`help xtevent`
+```stata
+help xtevent
+```
 
 -----------
 
 ### Citation
 
 Simon Freyaldenhoven, Christian Hansen, Jorge Pérez Pérez, and Jesse M. Shapiro. "Visualization, Identification, and Estimation in the Panel Event-Study Design." [NBER Working Paper No. 29170](https://www.nber.org/papers/w29170),
-August 2021.
+August 2021.

release.txt

@@ -1,27 +1,27 @@
-xtevent 2.0.0 - June 24, 2022
-
-
-Authors:
-
-    Simon Freyaldenhoven, Federal Reserve Bank of Philadelphia.
-       [email protected]
-    Christian Hansen, University of Chicago, Booth School of Business.
-       [email protected]
-    Jorge Pérez Pérez, Banco de México
-       [email protected]
-    Jesse Shapiro, Harvard University and NBER
-       [email protected]       
-
-
-Simon Freyaldenhoven, Christian Hansen, Jorge Pérez Pérez, and Jesse M. Shapiro. (2021) "Visualization, Identification, and Estimation in the Panel Event-Study Design." NBER Working Paper No. 29170.
-
-
-Changelog:
-
-Option nostaggered has been deprecated. There are new options to handle imputation of the policy variable in scenarios where it may be missing for some units or time periods. In xtevent 1.0.0 the default was to impute the policy variable at missing values and at the beginning and end of each timeseries in a manner consistent with staggered adoption. This default behavior has changed to not imputing the policy variable. To obtain similar results to those using xtevent 1.0.0 please use the option impute(stag).
-
-Options for trend extrapolation when the variable is not binary
-
-Bug fixes
-
-For more information, see https://github.com/JMSLab/xtevent/releases/tag/v2.0.0.
+xtevent 2.1.0 - August 1, 2022
+
+
+Authors:
+
+    Simon Freyaldenhoven, Federal Reserve Bank of Philadelphia.
+       [email protected]
+    Christian Hansen, University of Chicago, Booth School of Business.
+       [email protected]
+    Jorge Pérez Pérez, Banco de México
+       [email protected]
+    Jesse Shapiro, Harvard University and NBER
+       [email protected]       
+
+
+Simon Freyaldenhoven, Christian Hansen, Jorge Pérez Pérez, and Jesse M. Shapiro. (2021) 
+"Visualization, Identification, and Estimation in the Panel Event-Study Design." NBER Working Paper No. 29170.
+
+
+Changelog:
+Two options have been added:
+	diffavg obtains the difference between the average post-event and pre-event coefficient estimates.
+	textboxoption specifies options for displaying the p-values of the pre-trend and leveling-off tests.
+Fixed bugs present in xtevent 2.0.0.
+
+
+For more information, see https://github.com/JMSLab/xtevent/releases/tag/v2.1.0.

xtevent.pkg

@@ -10,7 +10,7 @@ d Support:
 d https://github.com/JMSLab/xtevent/issues
 d Jorge Pérez Pérez ([email protected])
 d
-d Distribution-Date: 20220624
+d Distribution-Date: 20220801
 d License: MIT
 d 
 
@@ -24,4 +24,4 @@ f ./xtevent/xtevent.sthlp
 f ./xtevent/xteventplot.ado
 f ./xtevent/xteventplot.sthlp
 f ./xtevent/xteventtest.ado
-f ./xtevent/xteventtest.sthlp 
+f ./xtevent/xteventtest.sthlp 

xtevent/xtevent.ado

@@ -1,4 +1,4 @@
-* xtevent.ado 2.0.0 Jun 24 2022
+* xtevent.ado 2.1.0 Aug 1 2022
 
 version 11.2
 

xtevent/xteventplot.ado

@@ -1,4 +1,4 @@
-* xteventplot.ado 2.00 Jun 24 2022
+* xteventplot.ado 2.1.0 Aug 1 2022
 
 version 11.2
 

xtevent/xteventtest.ado

@@ -1,4 +1,4 @@
-* xteventtest.ado 2.00 Jun 24 2022
+* xteventtest.ado 2.1.0 Aug 1 2022
 
 version 11.2