Jan Ditzen Add us as a preferred source on Google
🔄 Data last refreshed 3 days ago
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Make a deal with Jan Ditzen
🔒 Paid proposals held safely in escrow — released only when the work's approved.
Followers
104
Account age
3 yrs
💰 Suggested sponsorship rate
$40 – $65 / sponsored post
Estimated from audience size & typical reach — every deal is negotiable and held in SocialDB escrow.
🎁 Free analysisfor Jan Ditzen
📊 Post engagement
Recent posts · likes + reposts
Nov 5latest
3
Avg engagement / post
2–4
Typical post (engagement)
2.9%
Engagement vs followers
74/100
Very consistent reach
Nov 2022
On Mastodon since
Half of recent posts land between 2 and 4 likes + reposts (median 2) — a dependable floor a sponsored post can count on.
🔥 Top post: Questions about #Stata? Use @stata @statatexblog @asjadnaqvi @th · 7 likes + reposts
📊 Activity & format
Posting cadence
0.78 / week
A lower-frequency account — each post lands with more weight.
Content mix
Mostly text
Recent: 12 text · 0 image · 0 video.
Follower / following
0.8×
Follows 129 back. A more reciprocal / networked account.
Recent posts
View on Mastodon ↗
@stata
xtcse2 (estimating exponent of cross-section dependence):
- unbalanced panel data now uses an EM algorithm to create internally a balanced panel
- bug fixes
@stata
xtcd2 (testing for weak cross-section dependence)
- speed improvements
- weighted CD Test (Juodis & Reese, JBES, 2022, https://doi.org/10.1080/07350015.2021.1906687)
- bias adjusted CD Test (@HPesaran
& Xie, 2022, https://arxiv.o…
xtdcce2 (CCE estimator):
- regularized CCE estimation (Juodis, JAE, 2022, https://onlinelibrary.wiley.com/doi/10.1002/jae.2899)
- xtdcce2fast: a subroutine for faster estimation and tailored to very large datasets
- bootstrapping of standa…
An update for #xtdcce2 for model specification and estimation of panel time series models with cross-sectional dependence in @stata is available on GitHub:
https://janditzen.github.io/xtdcce2/
or in @stata :
net install xtdcce2 , from("h…
An update to #nwxtregress to estimate spatial model in @stata is available. It fixes several bugs - please update using either:
nwxtregress, update
or
net install nwxtregress , from(https://janditzen.github.io/nwxtregress/) replace
More in…
An update to #nwxtregress for @stata is available. Version 0.13 includes new options:
- absorb() to absorb fixed effects using #reghdfe
- transform() demeans and/or standardizes (subset of) variables/spatial lags
More info here:
https://ja…
A new version of #xtgrangert (formerly #xtgranger) is now available on SSC for @stata. It implements tests for granger causality in heterogeneous and homogeneous panel data. Updates include support for unbalanced panels.
A WP can be found …
An update to #nwxtregress for @stata is available. It includes:
- speed improvement via Python for estimation of direct, indirect and total effects (estat impact)
- bug fixes in estat impact
More info here:
https://janditzen.github.io/nwx…
I am excited to talk tomorrow at the Swiss @stata conference about #nwxtregress.
Check out the program, there will be some really cool and exciting talks!
https://ritme.com/en/swiss-stata-conference-2022-register-now/?country=ch
A new version of #nwxtregress to estimate #spatial models with time varying weights in @stata is available on #github. Updates include speed improvements and bug fixes.
More info here:
https://janditzen.github.io/nwxtregress/
#introduction
I am Jan Ditzen, an assistant professor in econometrics at the Free University of Bozen, Italy. I am interested in panel models with large N&T, cross section dependence and spatial econometrics. One of my passions is to imple…
🐘 Community & instance
Home server
econtwitter.net
Their home server on the fediverse — the instance a creator picks signals the community they belong to.
On Mastodon since
Nov 2022
Joined in the Twitter-exodus wave of late 2022 — part of the migration that made Mastodon a real destination.
💡 Facts
🗓️Joined Mastodon in 2022 — 3 years ago.
👁️Averages 3 views per post.
📤Posts about 0.8× per week.
🕵️ Fake follower check
Estimated66/100
Good
Credibility score
89%
Real
Real audience
Low
Fake-follower risk
High
Data confidence
- Est. 89% real, active audience · Low fake-follower risk.
- Engagement (~2.9% of followers engage each post) is around typical for Mastodon.
- Established account (3+ years old).
Heuristic estimate from engagement, follower ratios, account age & growth — a screening signal, not a guarantee.
About
A hillwalking economist working on panel time series with a love for coding econometric methods at Free University of Bozen-Bolzano, Italy.
Co-Editor/Digital editor of Spatial Economic Analysis.
🔀 Audience overlap
EstimatedEstimated shared audience with similar creators — useful for avoiding overlap (or doubling down) when planning a campaign.
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Frequently asked questions
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How many followers does Jan Ditzen have?
Jan Ditzen has 104 followers on Mastodon.
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