Resources by Lisa

NIST National Vulnerability Database (NVD) – Software Security Vulnerability Data

NIST National Vulnerability Database (NVD) – Software Security Vulnerability Data

Lisa
Open Dataset
Creators: National Institute of Standards and Technology (NIST)
Publication Date: 2026
Creators: National Institute of Standards and Technology (NIST)

The National Vulnerability Database (NVD), maintained by NIST, is the U.S. government’s repository of standards-based vulnerability management data, including CVE (Common Vulnerabilities and Exposures) entries, severity scores (CVSS), and affected software product information.

U.S. Bureau of Labor Statistics – Producer Price Index (PPI)

U.S. Bureau of Labor Statistics – Producer Price Index (PPI)

Lisa
Open Dataset
Creators: U.S. Bureau of Labor Statistics (BLS)
Publication Date: 2026
Creators: U.S. Bureau of Labor Statistics (BLS)

The Producer Price Index (PPI), published monthly by the U.S. Bureau of Labor Statistics, measures the average change over time in the selling prices received by domestic producers for their output, covering goods, services, and construction. It is a key indicator of inflationary pressures at the producer level.

Bitcoin Transaction Fee Estimation Data

Bitcoin Transaction Fee Estimation Data

Lisa
Open Dataset
Creators: Alex Morcos
Publication Date: 2017
Creators: Alex Morcos

This GitHub Gist by Bitcoin Core developer Alex Morcos provides data and code related to Bitcoin transaction fee estimation, offering insights into the fee market dynamics of the Bitcoin mempool.

KPSS Extended Dataset – Technological Innovation, Resource Allocation and Growth

KPSS Extended Dataset – Technological Innovation, Resource Allocation and Growth

Lisa
Open Dataset
Creators: Kogan, Papanikolaou, Seru, and Stoffman
Publication Date: 2020-2025
Creators: Kogan, Papanikolaou, Seru, and Stoffman

This dataset, hosted on GitHub, extends the KPSS (Kogan, Papanikolaou, Seru & Stoffman) dataset on technological innovation and firm-level patent data. It provides measures of the economic value of patents, technological innovation, and resource allocation across U.S. publicly listed firms.

SHRUG – Socioeconomic High-Resolution Rural-Urban Geographic Dataset on India

SHRUG – Socioeconomic High-Resolution Rural-Urban Geographic Dataset on India

Lisa
Open Dataset
Creators: Development Data Lab
Publication Date: 2011
Creators: Development Data Lab

The SHRUG (Socioeconomic High-resolution Rural-Urban Geographic Dataset on India) is a comprehensive open dataset covering economic, social, and geographic characteristics of over 500,000 villages and towns across India, integrating data from multiple censuses, surveys, and administrative sources.

Replication Data: Strategic Inattention, Inflation Dynamics, and the Nonneutrality of Money

Replication Data: Strategic Inattention, Inflation Dynamics, and the Nonneutrality of Money

Lisa
Open Dataset
Creators: Hassan Afrouzi
Publication Date: 2024-01-29
Creators: Hassan Afrouzi

This dataset, hosted on Harvard Dataverse, contains the replication data for the study “Strategic Inattention, Inflation Dynamics, and the Nonneutrality of Money” (Afrouzi, 2024, Journal of Political Economy). It includes firm-level price-setting data used to examine how strategic inattention shapes inflation dynamics and generates real effects of monetary policy, contributing to the theory of rational inattention and price rigidity.

Replication Data: Expectations, Infections, and Economic Activity

Replication Data: Expectations, Infections, and Economic Activity

Lisa
Open Dataset
Creators: Martin Eichenbaum, Miguel Godinho de Matos, Francisco Lima, Sergio Rebelo, and Mathias Trabandt
Publication Date: 2023-09-14
Creators: Martin Eichenbaum, Miguel Godinho de Matos, Francisco Lima, Sergio Rebelo, and Mathias Trabandt

This dataset, hosted on Harvard Dataverse, contains the replication data for the study “Expectations, Infections, and Economic Activity” (Eichenbaum et al., 2024, Journal of Political Economy). It includes consumer transaction and epidemiological data used to examine how expectations about COVID-19 infection risk affect consumer behaviour and economic activity, combining macroeconomic modelling with granular spending data to quantify the role of beliefs in driving pandemic-era economic fluctuations.

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