Over the years, the newsletter has collected and circulated many valuable resources for data, codes, and other useful tools and information. This page serves as a repository of all of these things, aiming to make them easily findable and accessible and thus improve research and researcher productivity. This page will be updated with both old and new resources.
If you have suggestions for resources to include, please email them to InterconnectednessNewsletter@gmail.com.
Bilateral version of the Lane-Milesi-Ferretti External Wealth of Nations
Dataset of international capital flows and stocks by sector (updated Dec 2023)
EM sovereign bond data from “Overcoming the original sin: Insights from a new dataset”
Global Capital Allocation Project: Big-data initiative in international macro and finance
Lecture videos, data and code from the Stanford Big-data initiative in international macro-finance
Multinational Revenue, Employment, and Investment Database (MREID)
Positioning in GVCs: A new dataset available for global value chain analyses (VOXEU)
Chinese central bank swaps visualized here using data from Horn et al 2023 and data
Constructing high-frequency monetary policy surprises from SOFR futures
Data on central bank independence from the paper “The political economy reforms in central bank design: Evidence from a new dataset” and related VOXEU column
Historical dataset with the target Federal Funds Rate (FFR) 1971 to present
Monetary policy shock data from “Identifying monetary policy shocks: A natural language approach”
Data on bank deposit betas from Drechsler, Savov, and Schnabl (2021)
Interested in nonbank lending? Here is All Lending Club data
IMF Announcement level database from “Tracking economic and financial policies during Covid-19”
New financial stress index (FSI) for 110 countries during 1967-2018
The government patent register: Resource for measuring US government-funded patenting (WP)
Tracking Economic and Financial Policies During COVID-19: An Announcement-Level Database
A new dataset to study a century of innovation in Europe and the US
Long-run macroeconomic and financial data for 18 countries since 1870
Maddison Project Database 2023: economic growth and income levels
Real-time alternative measure of China's business cycle dynamics (real GDP growth)
The Global Macro Database: A New International Macroeconomic Dataset and github
ECB Distributional wealth accounts (new statistics on the distribution of household wealth)
FRB Minneapolis “Income distributions and dynamics in America” project
Jobs of the World project database on labor market outcomes across countries and time
Changes to the Call Report: agencies ask banks to report granular information on lending to NBFIs
Data on the 25M Americans who signed up for student debt relief
Establishment-level census of manufactures (1850, 1860, 1870, 1880)
New Tenant Repeat Rent Index, A New Way of Measuring Housing Inflation
Panel data of US voter registration linked to employers, industries, occupations, and metro areas
Empirical Guidance: Data Processing and Analysis with Applications in Stata, R, and Python
Stata command: Event-Study Estimators and Variance Estimators
Stata command: Fast Poisson Estimation with High-Dimensional Fixed Effects
Stata command: Two-Stage Cluster Bootstrap and Causal Cluster Variance
Stata tip: show variation over time and space using an animated map
Alistair Dieppe & Björn van Roye: The BEAR toolbox 5.1 and github
Double Robustness of Local Projections and Some Unpleasant VARithmetic, online appendix, github, youtube
Jan Linzenich & Baptiste Meunier: Nowcasting toolbox and github
Lectures on Bayesian and Machine Learning Methods by Chris Walters
Machine learning library for economics and finance and github
Machine learning methods in finance: Recent applications and prospects
Public datasets to work on data science and machine learning
R ddml: Double/Debiased Machine Learning as proposed by Chernozhukov et al.(2018)
ECB macroeconometric models for forecasting and policy analysis
Filippo Ferroni & Fabio Canova: A hitchhiker’s guide to empirical macro models and github
Moll: Heterogeneous agent macroeconomics: eight lessons and a challenge
The ESCB forecasting models: what are they and what are they good for?
Thomas J. Sargent and John Stachurski: Dynamic Programming Volume I: Finite States
Jeffrey Wooldridge: Econometric Analysis of Cross Section and Panel Data: datasets
Lectures on econometrics for causal inference by Abadie, Walters and Joshway
Pedro Sant’Anna lecture on diff-in-diff designs, youtube and slides
Slides on diff-in-diff: Basics, pretrends, and issues with staggered timing (Goldsmith-Pinkham)
Stata short course: Jeff Wooldridge’s slides and Stata files
Difference-in-Differences Estimators of Intertemporal Treatment Effects