Hello everyone
Last chance to register for the upcoming 2-day Instats seminar on Panel
Data Models and Methods with Stata
<https://instats.org/seminar/panel-data-models-and-methods-with-stata8486>
running Feb 16-17. This seminar runs prior to the next seminar Advanced
Panel Data Modeling with Stata
<https://instats.org/seminar/advanced-panel-data-modeling-with-stata3776>
running March 2-3, so sign up now if you'd like to take these exciting
seminars!
Conveniently, these seminars are being offered as a 4-part structured
course, Panel Data Modeling: From Static Models to DiD Estimation and
Causal Inference
<https://instats.org/structuredcourse/panel-data-modeling-from-static-models-4924>
with Jeffrey Wooldridge. The 4-part course includes the first two seminars
on panel data methods, and then proceeds with two additional 2-day seminars
on Causal Inference and Difference-in-Differences methods.
If you sign up for the full 4-part course, you'll save 10% off the regular
price, which is in addition to Instats's already reduced pricing
(especially for PhD students!). Head over to instats.org today to check out
our many upcoming livestream seminars as well as our library of on-demand
offerings. With any questions please feel free to get in touch at
[log in to unmask]
Also, don't miss out on our upcoming seminars Time-Series Methods
<https://instats.org/seminar/dynamic-modeling-non-stationarity-and-2694>
with professor Stephen Hall (Feb 21-22), and Location-Scale Multilevel
Models
<https://instats.org/seminar/multilevel-location-scale-models-group-7685>
with professor Michael Zyphur (March 1-3). These are filling up quickly so
make sure you and your colleagues/PhD students don't miss out!
Best wishes and happy modeling!
Michael Zyphur
Director
Institute for Statistical and Data Science
*in**stats.org*
<https://u25630606.ct.sendgrid.net/ls/click?upn=nVdQE-2B8Stia1M6tUcM07RVQbRGyiFw0h18oRmOjW-2Feum7T2l44a0i3R-2BmE1SHmR0pdI82L9a8egSFf9sH8iUK-2FtF9pGRh1xtKxELQPim19d1oaBqI9cK1nIgWPU8WUEGWx5h_ukItYw4utsc-2BPJXOIs3muiWFkNLFxvzVjRDcRdGParWYcWpjz4bDfIxRcVZFwz2hbchU49RjchvJbIEZfuhAU1tO8tQXbdWu5jQei0rx1H597CbzM4Zg2wwFMQ9ZBeFJDGwkvoSL-2BcvD4bazfwYAxP-2FK2sM3Y-2FHu5XHydh-2F2MhzlHcC-2B0neBxDffrLZzsHX56s1pdhxvXDext0FAw7j5K-2BWbnqV065sn6-2BRrrsk6-2BbV4ACfxroXKmmRy9QfTUbLJQLaXhDSrOYTM-2FWHKDTdY78u-2BE4LvaEyrenEIkUxxyaH5-2Bq2aPwZ6atRIQYPRdn2OU-2BJkXX2iNhGq7UFCB-2Fl-2BAn-2BPvJ-2BK79u09BzzqVfDa-2F-2FFpBf9AyKwCslnuQr7cTix2H-2FuDUyxv0YGzmDoBcF80pXIrFKWz-2BUYEPOwLYChJvjIPK-2FOqSjSrpfJGgDKveaXYHr-2FkC5hn5m6IUXZkOZqIldIIix5XCtPM7DhGBKLIkdhhoJ5TxLt1rv4RzzfLgbFfCwf1HFBlmXXGJevFYXrOvHBdgX7e743YxXhPa-2BBwqDilF6y9o0QnBRTJsKtzkKj>
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