I typeset the euro symbol (€) regularly and I’ve always thought the version produced in LaTeX sticks out a bit like a sore thumb. (I re-assure myself that noticing these things is evidence that I adequately proof-read my prose.) The code below makes a new command \yuro that (in my opinion) fits in better with the surrounding text.

\documentclass[12pt]{article}
\usepackage{eurosym}
\usepackage{graphicx}
\newcommand{\yuro}{\scalebox{0.95}{\euro}}
\begin{document}
This is the size with the \euro 1,000 original configuration.

This is the size with the \yuro 1,000 newer configuration.
\end{document}

The code shrinks the size of the symbol to make it fit better with other characters. Similarities to the status of the eurozone are unintentional.

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I have generated an easy-to-read PDF of William Petty's Taxes and Contributions. You can download it here. Hard copies of the book, comprising poor photocopies of older editions, make difficult work on the eyes. This edition is typeset as a modern document. I did write a script to generate it though, so it's likely that there are some errors in there. Please let me know if you find any. Due credit to the nice people from McMaster University who transcribed the plain-text copy.
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Most employees in Ireland are women. This fact does not imply that most workers are women, because men have a higher rate of self-employment. Nonetheless, most employees in Ireland are women. Note that the male and female paths pre- and post-2008 are almost parallel, but there was a huge shift in the composition of the labour force in 2008-2009.

(Title of the post refers to this book.)

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"Ireland is a place which must have so great an Army kept up in it, as may make the Irish desist from doing themselves or the English harm by their future Rebellions. And this great Army must occasion great and heavy Leavies upon a poor people and wasted Countrey; it is therefore not amiss that Ireland should understand the nature and measure of Taxes and Contributions." -- William Petty (1662), A Treatise of Taxes & Contributions
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"Although we should not be satisfied with any theory that fails to explain a lot with a little, we need not of course expect any one theory to explain everything, or even the most important thing. Absolutely nothing in all of epistemology suggests that valid explanations should be monocausal. An explanation may be entirely valid, yet explain only a part (and even a small part) of the variation at issue. [...] Since no monocausal explanation is offered, one well-known test of validity is not applicable. It is often said in methodological discussions that every meaningful scientific theory must specify one or more possible events or observations, or experimental results, which would, if they occurred, refute the theory. This rule has no applicability to multicausal conceptions unless a perfect experiment is performed, or one so nearly perfect that we could be certain that it was the error in the theory rather than the flaw in the experiment that accounted for the result. In view of the limited possibilities for experiments in economics and other social sciences, the impossibility of controlled experiments on historical events, and the extreme improbability that nature or history will on its own provide anything resembling a perfect natural experiment, a search for a single decisive refutation is futile. I am told by some philosophers of science that even in the physical and natural sciences the rejection of theories usually occurs not because of a single negative experiment, but more often from a series of anomalous observations combined with the emergence of a better alternative theory. What we should demand of a theory or hypothesis, then, is that it be clear about what observations would increase the probability that it was false and what observations would tend to increase the probability that there was some truth in it." -- Mancur Olson (1982) - writing before the profession's focus on quasi-experimental empirical estimates - in "The Rise and Decline of Nations".
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Economists often denote a Lagrangian maximization problem with a scripted L. Unless you exert a little bit of effort, this looks poorly when produced by LaTeX. The code below allows you to easily typeset the symbol in a larger font-size.

The code creates four new commands: \lagrange1, \lagrange2, \lagrange3, and \lagrange4. They produce the “Lagrangian L” with increasing size.

\documentclass{article}

\usepackage{relsize}
\usepackage{mathrsfs}
\usepackage{xstring}

\newcommand{\lagrange}[1]{\IfEqCase{#1}{{1}{\mathscr{L}}{2}{\mathlarger{\mathscr{L}}}{3}{\mathlarger{\mathlarger{\mathscr{L}}}}{4}{\mathlarger{\mathlarger{\mathlarger{\mathscr{L}}}}}}}

\begin{document}
$$ \lagrange1 $$
$$ \lagrange2 $$
$$ \lagrange3 $$
$$ \lagrange4 $$
\end{document}


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"I would add one word for any student beginning economic study who may be discouraged by the severity of the effort which the study, as he will find it exemplified here, seems to require of him. The complicated analyses which economists endeavour to carry through are not mere gymnastic. They are instruments for the bettering of human life. The misery and squalor that surround us, the injurious luxury of some wealthy families, the terrible uncertainty overshadowing many families of the poor---these are evils too plain to be ignored. By the knowledge that our science seeks it is possible that they may be restrained. Out of the darkness light! To search for it is the task, to find it perhaps the prize, which the 'dismal science of Political Economy' offers to those who face its discipline." - Arthur Pigou, November 1928
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"Predictive capacity without explanatory capacity is worthless. Mere clairvoyance, irrespective of its sharpness, does not itself have scientific standing. Only predictive capacity that arises out of having coherent and communicable explanations has scientific standing. The power to predict is subsidiary to the power to explain. Explanation without prediction is sufficient, but prediction without explanation is of no consequence from a scientific standpoint." -- Harvey Leibenstein (1966), in "Beyond Economic Man".
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Ever have the problem of Stata regression output being a little too wide? Worry no more. I use Ben Jann's excellent esttab to export Stata regressions into LaTeX documents. My only problem with esttab is that the tables can be too wide, i.e. wider than the width of the text in the PDF. So I made a few edits to esttab that automatically scale the tables to the text-width. I have called this program estwide. You can download it here. As it is based on estout, Ben Jann should be considered a co-author. Click here to see an example of its effect. (If you wish to replicate the above example, you can download the associated do-file here and the TeX file here.) To use estwide: 1. Make sure estout is installed. To do this, in Stata type ssc inst estout, replace 2. Save estwide.ado to the same folder that estout is now installed in. You can check the folder by typing which estout 3. Restart Stata. 4. Rather than exporting your tables using the esttab command, simply replace esttab with estwide, e.g. estwide using hello.tex, style(tex) replace 5. Make sure you have both the adjustbox and booktabs LaTeX packages installed. 6. Make sure you have called both of these packages up by including \usepackage{booktabs} and \usepackage{adjustbox} in the header of your LaTeX file. 7. Include your tables as normal. You can copy and paste the output into your TeX file, or have the tables update automatically when you make changes by using \input{myfilename}. Update, September 2017: after some emails from people, I have two things to add. Firstly, estwide seems to work much better if you include a caption to the table. Secondly, if you have a problem with the caption appearing on one page and the table itself on another, wrap the input in a LaTeX table. For example, this code works well for me: \begin{table}[ht] \input{myfilename} \end{table}
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