Showing 137-144 of 573 results
Hoberg-Phillips Industry Concentration and Product Market Data

Hoberg-Phillips Industry Concentration and Product Market Data

Lisa
Open Dataset
Creators: Gerard Hoberg and Gordon Phillips
Publication Date: 2021
Creators: Gerard Hoberg and Gordon Phillips

The Hoberg-Phillips data library, hosted at Tuck School of Business (Dartmouth), provides text-based industry classifications and product market concentration measures derived from firm 10-K filings. It offers dynamic, firm-level industry definitions based on product descriptions, enabling more nuanced analysis of competitive environments than standard SIC or NAICS codes.

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.

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.

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.

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.

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: Out of the Darkness and into the Light? Development Effects of Rural Electrification

Replication Data: Out of the Darkness and into the Light? Development Effects of Rural Electrification

Lisa
Open Dataset
Creators: Fiona Burlig and Louis Preonas
Publication Date: 2023
Creators: Fiona Burlig and Louis Preonas

This dataset, hosted on Harvard Dataverse, contains the replication data for the study “Out of the Darkness and into the Light? Development Effects of Rural Electrification” (Burlig & Preonas, 2024, Journal of Political Economy). It includes village-level and household-level data from India used to examine the causal effects of rural electrification on economic development outcomes such as income, employment, education, and living standards.

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