Subject
- Agriculture 1
- Economics 1
- Education 1
- Entrepreneurship 1
- Law 1
Creator
- John M. Connor 8
- Danielle Grogan 2
- Iman Haqiqi, 0000-0001-7331-4615 2
- Wolfram Schlenker 2
- Ayoung Kim 1
- Bhagyashree Katare, 0000-0002-9652-7370 1
- Brigitte Waldorf 1
- Maria I Marshall, 0000-0003-2267-798X 1
- Maria I. Marshall, 0000-0003-2267-798X 1
- Michael D Wilcox Jr, 0009-0004-8833-5063 1
Type
- Dataset 13
Date
subject: Agricultural Economics type: dataset
Total is 13 Results
NCR-Stat: Small Business Survey
10.4231/6VG5-5386
Bhagyashree Katare
,
Maria I Marshall
,
Michael D Wilcox Jr
,
Nicole Adams
,
Renee D Wiatt
,
Zuzana Bednarik
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
North Central Region Household Data (NCR-Stat): Baseline Survey
10.4231/2DEM-Z333
Maria I. Marshall
,
Michael D. Wilcox
,
Renee D. Wiatt
,
Zuzana Bednarikova
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
Data Sets for: Quantifying the Impacts of Compound Extremes on Agriculture and Irrigation Water Demand
10.4231/0M14-EY38
Danielle Grogan
,
Iman Haqiqi
,
Thomas Hertel
,
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
,
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
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
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
Economic Dimensions of Global Cartels, Detected 1990-2017: Food and Agriculture Markets
10.4231/RP5C-P425
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
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
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
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
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Results 1 - 10 of 13