Resources by Lisa

Replication Data: Repricing Avalanches

Replication Data: Repricing Avalanches

Lisa
Open Dataset
Creators: Makoto Nirei and José A. Scheinkman
Publication Date: 2023-03-28
Creators: Makoto Nirei and José A. Scheinkman

This dataset, hosted on Harvard Dataverse, contains the replication data for the study “Repricing Avalanches” (Nirei & Scheinkman, 2024, Journal of Political Economy). It includes price-level and firm-level data used to examine how strategic complementarities in price-setting decisions among firms generate cascade-like repricing dynamics whereby a small initial shock triggers a large chain reaction of price adjustments across the economy, with implications for inflation dynamics and monetary policy transmission.

Replication Data: Algorithmic Pricing and Competition in the German Retail Gasoline Market

Replication Data: Algorithmic Pricing and Competition in the German Retail Gasoline Market

Lisa
Open Dataset
Creators: Stephanie Assad, Robert Clark, Daniel Ershov, and Lei Xu
Publication Date: 2023
Creators: Stephanie Assad, Robert Clark, Daniel Ershov, and Lei Xu

This dataset, hosted on Harvard Dataverse, contains the replication data for the study “Algorithmic Pricing and Competition: Empirical Evidence from the German Retail Gasoline Market” (Assad, Clark, Ershov & Xu, 2024, Journal of Political Economy). It includes station-level gasoline price data from Germany used to examine how the adoption of algorithmic pricing software by fuel retailers affects competitive dynamics, pricing behaviour, and market outcomes, providing empirical evidence on whether algorithmic pricing facilitates tacit collusion or intensifies competition.

Replication Data: Is Money Essential? An Experimental Approach

Replication Data: Is Money Essential? An Experimental Approach

Lisa
Open Dataset
Creators: Janet Hua Jiang, Peter Norman, Daniela Puzzello, Bruno Sultanum, and Randall Wright
Publication Date: 2023-12-01
Creators: Janet Hua Jiang, Peter Norman, Daniela Puzzello, Bruno Sultanum, and Randall Wright

This dataset, hosted on Harvard Dataverse, contains the replication data for the study “Is Money Essential? An Experimental Approach” (Jiang, Norman, Puzzello, Sultanum & Wright, 2024, Journal of Political Economy). It includes laboratory experimental data used to test whether money is essential in facilitating trade and economic exchange by examining whether subjects in controlled experimental economies use money as a medium of exchange even when alternative mechanisms are available.

Replication Data: The Value of Arbitrage

Replication Data: The Value of Arbitrage

Lisa
Open Dataset
Creators: Eduardo Dávila, Daniel Graves, and Cecilia Parlatore
Publication Date: 2023
Creators: Eduardo Dávila, Daniel Graves, and Cecilia Parlatore

This dataset, hosted on Harvard Dataverse, contains the replication data for the study “The Value of Arbitrage” (Dávila, Graves & Parlatore, 2024, Journal of Political Economy). It includes financial market data used to examine the welfare value of arbitrage activity and how arbitrage contributes to price discovery, market efficiency, and overall social welfare, with implications for financial regulation and market design.

Replication Data: Belief Overreaction and Stock Market Puzzles

Replication Data: Belief Overreaction and Stock Market Puzzles

Lisa
Open Dataset
Creators: Pedro Bordalo, Nicola Gennaioli, Rafael La Porta, and Andrei Shleifer
Publication Date: 2023
Creators: Pedro Bordalo, Nicola Gennaioli, Rafael La Porta, and Andrei Shleifer

This dataset, hosted on Harvard Dataverse, contains the replication data for the study “Belief Overreaction and Stock Market Puzzles” (Bordalo, Gennaioli, La Porta & Shleifer, 2024, Journal of Political Economy). It includes analyst forecast and stock return data used to examine how overreaction in investor beliefs generates well-known stock market anomalies such as excess volatility, return predictability, and the value premium, providing a unified behavioural explanation for several long-standing asset pricing puzzles.

Replication Data: Growth Off the Rails – Aggregate Productivity Growth in Distorted Economies

Replication Data: Growth Off the Rails – Aggregate Productivity Growth in Distorted Economies

Lisa
Open Dataset
Creators: Richard Hornbeck and Martin Rotemberg
Publication Date: 2024-02-22
Creators: Richard Hornbeck and Martin Rotemberg

This dataset, hosted on Harvard Dataverse, contains the replication data for the study “Growth Off the Rails: Aggregate Productivity Growth in Distorted Economies” (Hornbeck & Rotemberg, 2024, Journal of Political Economy). It includes firm-level and industry-level historical data used to examine how resource misallocation and market distortions affect aggregate productivity growth, drawing on evidence from historical U.S. manufacturing to analyse the mechanisms through which distortions impede or redirect economic growth.

Replication Data: Cadasters and Economic Growth – A Long-Run Cross-Country Panel

Replication Data: Cadasters and Economic Growth – A Long-Run Cross-Country Panel

Lisa
Open Dataset
Creators: Michelle D'Arcy, Marina Nistotskaya, and Ola Olsson
Publication Date: 2023-12-11
Creators: Michelle D'Arcy, Marina Nistotskaya, and Ola Olsson

This dataset, hosted on Harvard Dataverse, contains the replication data for the study “Cadasters and Economic Growth: A Long-Run Cross-Country Panel” (D’Arcy, Nistotskaya & Olsson, 2024, Journal of Political Economy). It includes cross-country panel data on land registration systems (cadasters) and long-run economic growth indicators, used to examine how the historical introduction and quality of land cadastral systems, which formally record land ownership and boundaries, affects economic development across countries over the long run.

Replication Data: Technology Adoption and Productivity Growth – Evidence from Industrialization in France

Replication Data: Technology Adoption and Productivity Growth – Evidence from Industrialization in France

Lisa
Open Dataset
Creators: Réka Juhász, Mara P. Squicciarini, and Nico Voigtländer
Publication Date: 2023-11-24
Creators: Réka Juhász, Mara P. Squicciarini, and Nico Voigtländer

This dataset, hosted on Harvard Dataverse, contains the replication data for the study “Technology Adoption and Productivity Growth: Evidence from Industrialization in France” (Juhász, Squicciarini & Voigtländer, 2024, Journal of Political Economy). It includes historical firm-level and regional data from 19th-century France used to examine how the adoption of new technologies, particularly steam power during industrialisation, drove productivity growth, and what factors determined which firms and regions adopted new technologies faster.

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