kenjisato.jp

juicedown v0.1.1

Wed, 06 Sep 2023 00:00:00 +0000

juicedown

juicedown v0.1.1 is now available on CRAN 🎉

install.packages("juicedown")

What Does It Do?

It is a small package that combines two basic tasks into one:

Write documents in R Markdown and convert them to HTML (R Markdown v1).
Convert HTML with inlined CSS (juice).

Motivation

There has been a cost-saving trend in my university and they recommend instructors against printing teaching material. Also, students also bring their own PCs to the university. Distributing course content in digital format is becoming common. While distributing in PDF format is a preferred approach, nowadays many students do not print on paper, so I think it’s convenient to distribute important materials in HTML format that can be easily viewed on smartphones¹.

Generate bordered tables with exams::exams2mooodle

Fri, 24 Jul 2020 00:00:00 +0000

Motivation 🔗

By default, tables in moodle problems created with exams::exams2moodle do not have table or cell borders. I want tables with borders!

If you does too, you might find this post useful.

Stylesheet 🔗

Create a style for a class you will use for tables. Note that this is not a CSS file but a HTML code snippet that you want to include in markdown files.

Instead of styling a class, it’s possible to style table tag itself. But I strongly discourage you from doing this. That will affect the appearance of other tables used in Moodle.

Cross Referenceable Equation with Preview in RMarkdown

Sun, 12 Feb 2017 00:00:00 +0000

Cross-referenceable math equation in RMarkdown 🔗

You can cross-reference equations in Rmarkdown if you set output to bookdown::pdf_document2 and write equations within \begin{align} ~ \end{align} or \begin{equation} ~ \end{equation}

To make a tag, put (\#eq:label_name) inside a math environment. The equation can be cross-referenced by \＠ref(eq:label_name). See this stackoverflow answer by Yihui Xie and the related section of his bookdown book for more detail.

\begin{equation*} ~ \end{equation*} also produces an equation without number.

Drawback 🔗

A drawback of using \begin{align} ~ \end{align} or the like is that RStudio doesn’t support math preview for them (yet). You must embrace the whole math environment with $$.

Computation of the Optimal Policy for the Optimal Growth (Euler Equation)

Sun, 15 Jan 2017 00:00:00 +0000

(Mainly for students attending my class.)

As supplementary matrials on our way to understanding the optimal growth model, I put an R code and related documents on my github repository: kenjisato/intro-macro:

I do this mainly for a pedagogical reason. As a matter of fact, the above mentioned script isn’t practical; it does work if the initial condition is close to the steady state and the initial guesses of optimal consumption are sufficiently accurate but otherwise doesn’t (it’d take very loong time).

Economic Dynamics (2017)

Mon, 01 Jan 0001 00:00:00 +0000

2017Q1 Economic Dynamics (Kobe Univ.)

Lecture Slides

Mostly in Japanese.

Day	Title	Memo
Day 01	Course Overview (mostly in Japanese)
Day 02	Slides
	Notes on the Ramsey model
Day 03	Slides
	RStudio Shortcuts
Day 04	Slides
	Quiz
Day 05	Slides
Day 06	Slides
Day 07	Slides
Day 08	Slides
	Quiz
Day 09	Slides
Day 10	Slides
	Quiz
Day 11	Slides
Day 12	Slides
	Example

Lecture Notes

http://led.kenjisato.jp (work in progress, in Japanese)

Assignments

https://github.com/rokko-ed17q1/hw-portal

Additional Information

hw-portal/Wiki

Graduate Macroeconomics

Mon, 01 Jan 0001 00:00:00 +0000

Real Business Cycle Model

Python code for Romer §5.6
This Colab notebook presents Python code to run the simulation in §5.6 of Romer 5e. It basically translates Romer’s verbal explanations of the method of undetermined coefficients into Python. For actual day-to-day research, you may prefer to use Benjamin Jenkins’ linearmodels package or Dynare, but writing code yourself for once will be very helpful to absorb the algorithm.

Ramsey Model

Macroeconomics (2016Q2)

Mon, 01 Jan 0001 00:00:00 +0000

2016 Q2 Macroeconomics (GMAP, GSE, Kobe University) 🔗

Syllabus 🔗

16MA2A: Syllabus

Lecture Notes, Problem Sets 🔗

[16MA2B: Problem Set + Homework]
- [16MA2B-Sol: Solution to [16MA2B]]
[16MA2C: Problem Set]
[16MA2D: Units of measurement in continuous- and discrete-time models]
[16MA2E: Summary of the Solow model]
[16MA2F: Homework assignment 2]
[16MA2G-Sol: Solution to Quiz]
[16MA2H: Exercise (Hamiltonian)]
[16MA2I: Discrete-time Ramsey model]

Jupyter Notebooks 🔗

Launch Binder

When you can’t reach the app, the binder service might be busy. Please clone (download) the files from github repo

Macroeconomics (2016Q4)

Mon, 01 Jan 0001 00:00:00 +0000

2016 Q4 Macroeconomics (Kobe Univ.) 🔗

Syllabus 🔗

16MA4A: Syllabus

Lecture Notes, Problem Sets 🔗

16MA4B: Problem Set
16MA4a: Simulation of the Solow model
- R Notebook
16MA4b: Convergence
- R Notebook
16MA4-Mid: Take-home exam
- Due on 13 January, 2017

Presentation Files 🔗

Supplementary Materials 🔗

Computation of Optimal Growth based on Euler Equation
- PDF or HTML
Computation of Optimal Growth based on Dynamic Programming
- PDF or HTML

RStudio 🔗

To run Rmd files above and to compile (knit) them to pdf or other document format, install RStudio > 1.0.

Macroeconomics (2017Q2)

Mon, 01 Jan 0001 00:00:00 +0000

2017 Q2 Macroeconomics (Kobe Univ.)

Course materials

Day 01
Day 02
- Slides
- Problem Set : C
- Homework : hw02
- Exercise : ex01
Day 03
Day 04
Day 05
Day 06
Day 07
- Slides
- Problem Set : H
Day 08
- Slides
- Problem Set : I
Day 09
- Slides
- Problem Set : J
Day 10
- Slides
- Problem Set : K
Day 11
- Slides
- Problem Set : L
Day 12
- Slides
- Problem Set : M
Day 13

Assignments and exercises

See https://github.com/rokko-ma17q2/hw-portal

Macroeconomics (2017Q4)

Mon, 01 Jan 0001 00:00:00 +0000

2017 Q4 Macroeconomics (Kobe Univ.)

Course materials

Assignments and exercises

See https://github.com/rokko-ma17q4/hw-portal

Macroeconomics (2018Q1)

Mon, 01 Jan 0001 00:00:00 +0000

2018 Q1 Macroeconomics (Kobe Univ.)

Course material

Date	Slides	Handouts
April 6	Day 01	A, B
April 10	Day 02	C
April 13	Day 03	D
April 17	Day 04	E
April 20	Day 05	F
April 24	Day 06	G, H
April 27	Day 07	I
May 1	Day 08 (Midterm Exam)
May 8	Day 09	J
May 11	Day 10	K
May 18	Day 11	L
May 22	Day 12	M
May 25	Day 13	N
May 29	Day 14	O
June 5	Day 15 (Final Exam)

The slides and handouts for 2017Q4 are available [here](https://www.kenjisato.jp/en/teaching/ma/2017q4/).

Assignments

ID	Suggested Deadline	Description	Invitation Link	Solution
hw01	2018-04-13 18:00:00	Setup	Get Invitation	Not Provided
hw02	2018-04-20 18:00:00	PWT	Get Invitation	NA
hw03	2018-04-27 18:00:00	Euler	Get Invitation	NA
hw04	2018-05-11 18:00:00	Graph	Get Invitation	NA
hw05	2018-05-18 18:00:00	Final	Get Invitation	NA

All assignments must be submitted through GitHub. Always start an assignment with the “Get Invitation” link in the above portal site.

Macroeconomics (2018Q3)

Mon, 01 Jan 0001 00:00:00 +0000

2018 Q3 Macroeconomics (Kobe Univ.)

Course material

Date	Slides	Handouts
October 2	Day 01	A, B
October 5	Day 02	C
October 9	Day 03	D
October 12	Day 04	E
October 16	Day 05
October 19	Day 06	F
October 23	Day 07
October 26	Day 08 (Midterm Exam)
October 30	Day 09
November 2	Day 10	G
November 6	Day 11	H
November 9	Day 12	I
November 13	Day 13
November 16	Day 14	J
November 27	Day 15 (Final Exam)

The slides and handouts for 2017Q4 are available [here](https://www.kenjisato.jp/en/teaching/ma/2017q4/).

Assignments

ID	Suggested Deadline	Description	Invitation Link	Solution
hw01	2018-10-09 18:00:00	Setup	Get Invitation	Not Provided
hw02	2018-10-16 18:00:00	PWT	Get Invitation	NA
hw03	2018-10-23 18:00:00	Euler	Get Invitation	NA
hw04	2018-11-06 18:00:00	Graph	Get Invitation	NA
hw05	2018-11-20 18:00:00	Final	Get Invitation	NA

All assignments must be submitted through GitHub. Always start an assignment with the “Get Invitation” link in the above portal site.