Datasets

Subject
Creator
Type
Date

subject: Agricultural Economics

Total is 13 Results
North Central Region Household Data (NCR-Stat): Baseline Survey

10.4231/2DEM-Z333

Maria I. Marshall ORCID logo , Michael D. Wilcox ORCID logo , Renee D. Wiatt ORCID logo , Zuzana Bednarikova ORCID logo

10/20/2022

The NCRCRD collected data for the 12 states in the North Central Region with an emphasis on demography, economics, health, housing, environment, and social behavior.

Agricultural Economics Broadband access Civic engagement demographics Food Security Health and wellness Household North Central Region Placemaking Rural Workforce participation

NCR-Stat: Small Business Survey

10.4231/6VG5-5386

Bhagyashree Katare ORCID logo , Maria I Marshall ORCID logo , Michael D Wilcox Jr ORCID logo , Nicole Adams ORCID logo , Renee D Wiatt ORCID logo , Zuzana Bednarik ORCID logo

05/02/2024

The NCRCRD collected data about small businesses in the North Central Region. The dataset includes 1,287 responses from small business owners, including information on owners, health and wellness in the workplace, and more.

Agricultural Economics Benefits Community Education Entrepreneurship Family Business Health and wellness Insurance Mental Health North Central Region Rural small business Substance misuse Survey Urban Workforce development

Economic Dimensions of Global Cartels, Detected 1990-2017: Food and Agriculture Markets

10.4231/RP5C-P425

John M. Connor

08/25/2020

The Private International Cartels (PIC) Data Set comprises the largest collection of legal-economic information on contemporary price-fixing cartels. This subset of covers the global cartels in the food and agriculture industries between 1990 and...

Agricultural Economics Antitrust Antitrust law antitrust policy bid rigging Cartels Collusion competition law corporate crimes damages fines Industrial economics oligopoly overcharge Penalties price effects Price fixing recidivism Trade regulation

Economic Dimensions of EU Cartels, Detected by the EC in 1990-2017: Food and Agriculture Markets

10.4231/7KM4-5M78

John M. Connor

08/25/2020

The Private International Cartels (PIC) Data Set is a repository of legal-economic information on contemporary price-fixing cartels. This subset covers cartels in food and agriculture industries detected by the EC.

Agricultural Economics Antitrust law antitrust policy bid rigging Cartels Collusion competition law corporate crimes damages fines Industrial economics oligopoly overcharge Penalties price effects Price fixing recidivism Trade regulation

Economic Dimensions of Cartels Operating in Single, Non-EU Jurisdictions, Detected 1979-2017: Food and Agriculture Markets

10.4231/BSFM-H696

John M. Connor

08/25/2020

The Private International Cartels (PIC) Data Set comprises the largest collection of legal-economic information on contemporary price-fixing cartels. This subset of covers the global cartels in the food and agriculture Industry between 1990-2012.

Agricultural Economics Antitrust Antitrust law antitrust policy bid rigging Cartels Collusion competition law corporate crimes damages fines Industrial economics oligopoly overcharge Penalties price effects Price fixing recidivism Trade regulation

Economic Dimensions of Global Cartels, Detected 1990-2017: Non- Food and Agriculture Markets

10.4231/D7EC-MW59

John M. Connor

08/25/2020

The Private International Cartels (PIC) dataset comprises the largest collection of legal-economic information on contemporary price-fixing cartels. The subset covers the global cartels outside of the food and agriculture industries between 1990...

Agricultural Economics Antitrust law antitrust policy bid rigging Cartels Collusion competition law corporate crimes damages fines Industrial economics oligopoly overcharge Penalties price effects Price fixing recidivism Trade regulation

Data Sets for: Quantifying the Impacts of Compound Extremes on Agriculture and Irrigation Water Demand

10.4231/0M14-EY38

Danielle Grogan , Iman Haqiqi ORCID logo , Thomas Hertel ORCID logo , Wolfram Schlenker

06/30/2020

Metrics of heat stress, water stress, and compound extremes for agriculture for US counties for 1981-2015.

Agricultural Economics Agriculture climate impacts compound extremes heat stress water balance model water stress

Model Code for: Quantifying the Impacts of Compound Extremes on Agriculture and Irrigation Water Demand

10.4231/Q07D-J369

Danielle Grogan , Iman Haqiqi ORCID logo , Thomas Hertel , Wolfram Schlenker

06/08/2020

This Stata code estimates a model to investigate the impacts of compound extremes, water stress, and heat stress on crop yields. It requires "soilMoistureData.dta".

Agricultural Economics climate impacts compound extremes Corn heat stress water stress

The Index of Relative Rurality (IRR) : US County Data for 2000 and 2010

10.4231/R7959FS8

Ayoung Kim , Brigitte Waldorf

04/18/2018

The Index of Relative Rurality (IRR) is a continuous, threshold-free, and unit-free measure of rurality. It is an alternative to the traditional discrete threshold-based classifications. The dataset includes the U.S. county-level IRR for 2000 and...

Agricultural Economics IRR Rural Classification Rural Index Rurality

Private International Cartels Full Data 2012-4-13 2012-1 Edition

10.4231/R7GF0RPJ

John M. Connor

08/20/2017

The Private International Cartels (PIC) Data Set comprises the largest collection of legal-economic information on contemporary price-fixing cartels. This subset of the data collection covers 1990 to 2012.

Agricultural Economics Antitrust Antitrust law Cartels Collusion Economics Injuries Law Penalties Price fixing Restraint of trade Trade regulation

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