smoothing_tax#
Series: lecture-dp
File:
lectures/smoothing_tax.mdAudit date: 2026-05-28
Categories audited: writing, math, code, jax, figures, references, links, admonitions
Overall score: 6.6 / 10
Priority: HIGH
Score breakdown#
Category |
Score |
One-line note |
|---|---|---|
Writing |
8/10 |
H2/H3 mostly sentence case. |
Math |
7/10 |
|
Code |
8/10 |
Unicode Greek; pip install at top; PEP8; figsize 2×. |
JAX |
out of scope |
not a JAX lecture. |
Figures |
4/10 |
Three |
References |
3/10 |
Eight narrative-author |
Links |
8/10 |
|
Admonitions |
8/10 |
Two |
Issues#
Critical#
None found.
High severity#
[qe-ref-001] — Eight narrative-author citations using parenthetical
{cite}rather than{cite:t}. Examples: “Lucas and Stokey ”, “Barro ”, “Hall ”, “Albert Gallatin (1807) ”.
Medium severity#
[qe-math-010 (proposed)] —
\mathbb E_twritten without braces (lines 877, 884, 892, 898); bareEon line 910.[qe-fig-003] — Three matplotlib title calls. Lines: 585 (
plt.title('Tax collection paths')), 593 (plt.title('Government debt paths')), 604 (ax.set_title('Cumulative return path (complete markets)')).[qe-fig-006] — Five Title-Case axis labels (
'Periods'×4,'Cumulative return','Government expenditures'). Lines: 255, 263, 289, 298, 607, 608, 613.[qe-link-002] — One raw markdown link to
python.quantecon.org(in narrative).
Low severity#
[qe-writing-001] — A few multi-sentence paragraphs.
[qe-fig-001] —
figsize=set 2 times.
Strengths#
Lecture title in correct Title Case.
H2/H3 headings mostly sentence case.
Matrices use
bmatrix.“IID” used correctly.
Definitions bolded (“complete markets”, “incomplete markets”, “Convention”, “Returns”).
Equation labels and
{eq}references used cleanly.No transpose, no bold vectors, no matrix-bracket, no
\tag, noalign-inside-$$issues.pip install at top; Unicode Greek;
{doc}used.
Recommended actions#
Switch the 8 narrative
Author {cite}…references to{cite:t}form.Standardise
\mathbb E_t→\mathbb{E}_t; replace bareEon line 910 with\mathbb{E}.Remove the 3 matplotlib title calls.
Lowercase Title-Case axis labels.
Convert raw
python.quantecon.orgmarkdown link to{doc}form.