Suchergebnisse

Cover -- Title Page -- Copyright -- Contents -- Acknowledgments -- Preface -- Chapter 1 Why Research Needs a Big Audience -- Be Strategic: Set Goals for Impact -- Meet People Where They Are -- The Pyramid Philosophy -- Be Your Own Translator -- Wrapping It in a Personal Story -- Writing Your Broader Narrative -- Use Every Tool to Communicate Your Insights -- Wrapping Up -- Case Study: Creating a range of products to reach different audiences -- Chapter 2 Developing an Audience Outreach Strategy -- Identifying Your Audience -- Visualizing (and Finding) Your Audience -- Narrow Your Focus -- Defining "Policymakers" -- Finding Contact Information for Policymakers -- Working with Networks and Associations -- Conceptualizing Your Audience to Guide Your Outreach -- In-Person Outreach: Presenting Your Key Findings -- Mix and Match Your Communications Practices -- Audience and List Brainstorming -- Case Study: Targeting your outreach efforts to different audiences -- Chapter 3 An Introduction to Visualizing Your Research -- Applying the Principles: An Example -- Form and Function -- Choosing a Graph -- Active Charts -- Alternative Chart Types -- Data Visualization Tools -- Wrapping Up -- Case Study: Readers devour an easily digestible data visualization -- Chapter 4 Better Presentations: More Effective Speaking -- Planning Your Presentation -- Presentation Worksheet -- Designing Your Slides -- The Text Slide: Use Less Text -- The Data Visualization Slide: Make Good Graphs -- The Table Slide: Simplify -- The Image Slide: Use Good, Large Images -- Scaffolding Slides: Build the Frame Around Your Content -- Giving Your Presentation -- Wrapping Up -- Presentation Worksheet -- Presentation Title -- Presentation Preparation Checklist -- Case Study: Using the power of storytelling to communicate your message -- Chapter 5 How to Blog about Your Findings.

AbstractHow do economists use graphs, and do they use them well? Using Amazon's Mechanical Turk, I provide evidence to these questions by exploring more than 2600 graphs published in the first issue of the American Economic Review from 1911 to 2017. I find that economists use a lot of line charts – more than 80% of the total sample are line charts. I also find that the share of graphs that use data (as opposed to diagrams) fell over the first half of the century and then increased from about the early 1980s to today, correlated with perceived graph quality.

AbstractTables are a unique form of visualizing data because, unlike many charts, they are not usually intended to give a quick, visual representation of data. Instead, tables are useful when you want to show the exact values of your data or estimates. They are not the best solution if you want to show a lot of data or if you want to show the data in a compact space, but a well-designed table can help your reader find specific numbers and discover patterns and outliers. In this article, I present 10 guidelines for creating better, more effective tables; I then model these lessons by redesigning six tables from articles previously published in the Journal of Benefit-Cost Analysis.

This paper undertakes a new strategy to estimate emigration rates among US immigrants by inferring the probability of emigration using longitudinal administrative earnings data. Two groups of emigrants are evaluated separately: those who emigrate from the United States and those who leave both the United States and the Social Security system. About 1.0 to 1.5 percent of the foreign‐born population emigrate from the USA every year, and between about 0.8 and 1.2 percent of foreign‐born workers emigrate from the Social Security system. Regression analysis suggests that immigrants with lower earnings are more likely to emigrate and that the likelihood of emigrating from the United States increases with age, but is unchanged for those leaving the US Social Security system.