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51 to 60 of 1,468 Results

readme.txt Apr 6, 2026 - BrazilCrime: R code examples for data extraction, analysis, and forecasting Plain Text - 1.6 KB - MD5: 0b01713adb95e4e15bf1c334bf2b8bf0
Replication data for: generative artificial intelligence and higher-paying jobs in an agent-based macroeconomic model Mar 31, 2026 Messias, Paulo Henrique; Rolim, Lilian Nogueira, 2026, "Replication data for: generative artificial intelligence and higher-paying jobs in an agent-based macroeconomic model", https://doi.org/10.25824/redu/QHS6FK, Repositório de Dados de Pesquisa da Unicamp, V1, UNF:6:E1OAnm0NqHZGhEIB6NxroA== [fileUNF] This repository provides a reproducible computational framework to analyze the macroeconomic effects of generative AI within a demand-led Kaleckian agent-based model. It includes the full model implementation (LSD platform) and Monte Carlo simulation setup, as well as precomputed...
data_full_mc.tab Mar 31, 2026 - Replication data for: generative artificial intelligence and higher-paying jobs in an agent-based macroeconomic model Tabular Data - 216.2 MB - 12 Variables, 1890000 Observations - UNF:6:wK3y2shhuLSZc5arl+05Dg== Aggregated dataset combining results across Monte Carlo simulations. This file is used for the main statistical analysis and reproduces the core quantitative results presented in the dissertation.
data_stats_per_mc_run.tab Mar 31, 2026 - Replication data for: generative artificial intelligence and higher-paying jobs in an agent-based macroeconomic model Tabular Data - 842.8 KB - 10 Variables, 6300 Observations - UNF:6:GhnKh1tcvyZeOLct0vJJUg== Dataset containing summary statistics computed at the level of individual Monte Carlo runs. Useful for analyzing variability, dispersion, and distributional properties across simulations.
data_timeseries_stats_per_experiment.tab Mar 31, 2026 - Replication data for: generative artificial intelligence and higher-paying jobs in an agent-based macroeconomic model Tabular Data - 1.4 MB - 7 Variables, 18900 Observations - UNF:6:+3zq9z7y3s6d5e7pfXPuNA== Dataset with time-series statistics computed for each experiment. Allows the analysis of dynamic patterns and temporal evolution of key model variables.
full_replication_code.zip Mar 31, 2026 - Replication data for: generative artificial intelligence and higher-paying jobs in an agent-based macroeconomic model ZIP Archive - 351.2 MB - MD5: dbd4df863261d2a72f948603b8f8191e Compressed archive containing the complete agent-based model implementation and simulation setup in LSD (Laboratory for Simulation Development). This file allows full replication of the results, including Monte Carlo simulations and raw output generation.
LEIAME.txt Mar 31, 2026 - Replication data for: generative artificial intelligence and higher-paying jobs in an agent-based macroeconomic model Plain Text - 2.8 KB - MD5: 57f2a6e135d635ffaa02b6d06bf7aa50 Documentation file (Portuguese) with the same content as the README, intended for accessibility to Portuguese-speaking users.
quick_analysis_MC.html Mar 31, 2026 - Replication data for: generative artificial intelligence and higher-paying jobs in an agent-based macroeconomic model HTML - 1014.5 KB - MD5: f3715b8eb49677c04790649b08a774a6 Precompiled version of the RMarkdown analysis. Provides immediate access to all results, figures, and tables without requiring any software execution.
quick_analysis_MC.Rmd Mar 31, 2026 - Replication data for: generative artificial intelligence and higher-paying jobs in an agent-based macroeconomic model R Notebook - 38.1 KB - MD5: 46d8a5861fae582108aef03fbfa29c69 RMarkdown script that reproduces all figures and tables reported in the dissertation using the provided datasets. Designed for quick and transparent replication without requiring execution of the model.
README.txt Mar 31, 2026 - Replication data for: generative artificial intelligence and higher-paying jobs in an agent-based macroeconomic model Plain Text - 2.5 KB - MD5: 32ea5ecb771792477c6b779f8c5a27a5 Documentation file (English) describing the structure of the repository, replication options, and usage instructions.

readme.txt

Apr 6, 2026 - BrazilCrime: R code examples for data extraction, analysis, and forecasting

Plain Text - 1.6 KB -

Replication data for: generative artificial intelligence and higher-paying jobs in an agent-based macroeconomic model

Mar 31, 2026

Messias, Paulo Henrique; Rolim, Lilian Nogueira, 2026, "Replication data for: generative artificial intelligence and higher-paying jobs in an agent-based macroeconomic model", https://doi.org/10.25824/redu/QHS6FK, Repositório de Dados de Pesquisa da Unicamp, V1, UNF:6:E1OAnm0NqHZGhEIB6NxroA== [fileUNF]

This repository provides a reproducible computational framework to analyze the macroeconomic effects of generative AI within a demand-led Kaleckian agent-based model. It includes the full model implementation (LSD platform) and Monte Carlo simulation setup, as well as precomputed...

data_full_mc.tab

Mar 31, 2026 - Replication data for: generative artificial intelligence and higher-paying jobs in an agent-based macroeconomic model

Tabular Data - 216.2 MB - 12 Variables, 1890000 Observations -

Aggregated dataset combining results across Monte Carlo simulations. This file is used for the main statistical analysis and reproduces the core quantitative results presented in the dissertation.

data_stats_per_mc_run.tab

Mar 31, 2026 - Replication data for: generative artificial intelligence and higher-paying jobs in an agent-based macroeconomic model

Tabular Data - 842.8 KB - 10 Variables, 6300 Observations -

Dataset containing summary statistics computed at the level of individual Monte Carlo runs. Useful for analyzing variability, dispersion, and distributional properties across simulations.

data_timeseries_stats_per_experiment.tab

Mar 31, 2026 - Replication data for: generative artificial intelligence and higher-paying jobs in an agent-based macroeconomic model

Tabular Data - 1.4 MB - 7 Variables, 18900 Observations -

Dataset with time-series statistics computed for each experiment. Allows the analysis of dynamic patterns and temporal evolution of key model variables.

full_replication_code.zip

Mar 31, 2026 - Replication data for: generative artificial intelligence and higher-paying jobs in an agent-based macroeconomic model

ZIP Archive - 351.2 MB -

Compressed archive containing the complete agent-based model implementation and simulation setup in LSD (Laboratory for Simulation Development). This file allows full replication of the results, including Monte Carlo simulations and raw output generation.

LEIAME.txt

Mar 31, 2026 - Replication data for: generative artificial intelligence and higher-paying jobs in an agent-based macroeconomic model

Plain Text - 2.8 KB -

Documentation file (Portuguese) with the same content as the README, intended for accessibility to Portuguese-speaking users.

quick_analysis_MC.html

Mar 31, 2026 - Replication data for: generative artificial intelligence and higher-paying jobs in an agent-based macroeconomic model

HTML - 1014.5 KB -

Precompiled version of the RMarkdown analysis. Provides immediate access to all results, figures, and tables without requiring any software execution.

quick_analysis_MC.Rmd

Mar 31, 2026 - Replication data for: generative artificial intelligence and higher-paying jobs in an agent-based macroeconomic model

R Notebook - 38.1 KB -

RMarkdown script that reproduces all figures and tables reported in the dissertation using the provided datasets. Designed for quick and transparent replication without requiring execution of the model.

README.txt

Mar 31, 2026 - Replication data for: generative artificial intelligence and higher-paying jobs in an agent-based macroeconomic model

Plain Text - 2.5 KB -

Documentation file (English) describing the structure of the repository, replication options, and usage instructions.

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