Showing 57-64 of 262 results

Historical Data on French Administrative Reforms, Local Capitals, and Long-Run Development (1790–1900)

Creators: Old Administrative Functions, Police Force, Matricules Napoléoniens, Conseil des Bâtiments Civils
Publication Date: 2024/07/22
Creators: Old Administrative Functions, Police Force, Matricules Napoléoniens, Conseil des Bâtiments Civils

This dataset includes historical administrative, demographic, and economic data from France between 1790 and 1900. It was used by Cédric Chambru, Emeric Henry, and Benjamin Marx in their 2024 American Economic Review paper to study the long-run effects of administrative reforms enacted during the French Revolution. The data tracks the assignment of departmental capitals, taxation, law enforcement, public good provision, and urban growth across French communes, some of which became capitals through plausibly exogenous decisions by the 1790 Assembly.

Branch Banking, Credit Growth, and Economic Recovery in 1930s California

Creators: Bank of America (historical records) and U.S. Census Bureau (linked individual data)
Publication Date: 2024/06/10
Creators: Bank of America (historical records) and U.S. Census Bureau (linked individual data)

This dataset combines archival data from Bank of America’s branch operations with property value, employment, and credit flow data across California cities during the Great Depression. It was used by Sarah Quincy in her 2024 American Economic Review paper to study how branching mitigated local economic shocks by creating an internal capital market. The dataset includes bank-level loan activity, narrative documentation from archives, and linked individual-level census records to analyze structural labor market shifts and urban recovery trajectories between 1929 and 1940.

Citation Database Coverage and Academic Careers: Evidence from the Introduction of Citation Metrics

Creators: National Science Foundation (NSF), Institute for Scientific Information (ISI)
Publication Date: 2024/10/11
Creators: National Science Foundation (NSF), Institute for Scientific Information (ISI)

This dataset includes historical citation data, publication metadata, NSF funding records, and academic employment outcomes used by Sebastian Hager, Carlo Schwarz, and Fabian Waldinger in their 2024 American Economic Reviewpaper. The dataset exploits the introduction of the first citation database (ISI’s Science Citation Index) to analyze how the visibility of scientific work affects the allocation of academic talent. It includes visible and invisible citation data, author affiliations, career progression metrics, and grant awards, enabling an investigation of performance metrics on promotion, mobility, and funding outcomes.

Technological Peer Pressure and Job Posting Skill Disclosure

Creators: Burning Glass, Compustat
Publication Date: 2023
Creators: Burning Glass, Compustat

This dataset was used by Yi Cao, Shijun Cheng, Jennifer Wu Tucker, and Chi Wan in their 2023 Contemporary Accounting Research study. It includes firm-level job posting data with skill requirement specificity, matched with technological peer pressure measures derived from patent similarity and competition. The dataset allows analysis of how firms alter job descriptions for tech positions under varying levels of innovation pressure. It combines data from Burning Glass job postings, Compustat, and patent databases, covering thousands of firm-year observations across U.S. industries.

Creators: Compustat

This dataset supports the 2024 study by Katie W. Lem in Contemporary Accounting Research. It combines textual analysis of corporate disclosures with firm characteristics to measure data analytics strategy adoption. Supplementary materials include variable construction files, robustness checks, and extracted job postings. The data are used to examine whether firms that disclose a data analytics strategy also demonstrate improved internal information quality, such as increased operating efficiency and forecast accuracy.

EQSCORE: Composite Earnings Quality Indicators from Proprietary Research

Creators: Columbia Business School (hosted on Urooj Khan’s institutional website)
Publication Date: 2024
Creators: Columbia Business School (hosted on Urooj Khan’s institutional website)

This dataset supports the 2024 study by Urooj Khan, Venkat Peddireddy, and Shiva Rajgopal in Contemporary Accounting Research. The authors introduce a composite score (EQSCORE) to measure firm-year earnings quality, developed using 51 red-flag indicators derived from 613 proprietary research reports issued between 2004 and 2009. These reports cover aggressive accounting practices in 230 publicly traded firms. The score includes accounting, governance, audit, and cash-flow–related quality signals. EQSCORE is validated against SEC enforcement releases, restatements, and future returns.

Creators: Zenodo

This dataset accompanies the 2023 Econometrica paper by Tetsuya Kaji, Elena Manresa, and Guillaume Pouliot. The authors propose a novel adversarial estimation method for structural econometric models, framed as a minimax game between a data-generating model and a classifier. The dataset contains the simulated data and source code used to benchmark the estimator’s performance in several canonical structural model settings. The approach combines simulation-based estimation with neural network-based discriminators, enabling robust performance under both correct specification and model misspecification.

Urban Growth and Aggregate Productivity Model Data and Code

Creators: Diego Puga (hosted at diegopuga.org)
Publication Date: 2023/11/01
Creators: Diego Puga (hosted at diegopuga.org)

This dataset supports the Econometrica paper by Gilles Duranton and Diego Puga (2023), which develops a model of urban growth driven by human capital spillovers, constrained by planning regulations, and shaped by city-specific heterogeneity. The dataset includes simulation scripts and empirical data used to calibrate and validate the model. It allows replication of results on the impact of urban planning constraints and counterfactual policy changes on productivity and national output.

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