Class materials for REE 6315 in Fall 2017. We will be using this data as an ongoing example throughout the course. Students will need this data to complete in class quizzes and out of class assignments. Please also download the free real estate listing data also required for the course: https://www.dataandsons.com/categories/sales_&_transactions/u.s._real_estate_inventory Data was sourced by combining open data sources with instructors original content.

Mailing Address of every restaurant, bar, and tavern in the Tampa Bay MSA.

Complete listing of U.S. real estate inventory by zip code. Edited data set sourced from www.realtor.com for better clarity and easier use.

Number of visitors to U.S. National Parks. Source: U.S. National Parks

Class data for ECON 451, Fall 2017. Please purchase and download this data set. The data is required for completing homework assignments in ECON 451.

U.S. Korean War Casualties from the U.S National Archives.

Vietnam Conflict Casualties from the National Archives.

Participants were 122 individuals from a fire department. The total number of employees at the fire department were 184 people. Participants were at all levels of the organization. The data includes both cultural measures from O'Reilly, Chapman, and Caldwell (1991) and a network analysis where participants were asked to identify up to five individuals they prefer to turn to for work related advice. Participants were given the full list of values from the O'Reilly et al (1991) paper and asked to identify the most import two values, then the most important four values, etc. Just as the sorting methodology in the paper went through. However, the survey was administered online. For the network analysis, the data includes both a betweenness measure and a centrality measure (ndegree). The data was collected 1/15/2014-3/15/2014.

The data includes location and type of wetlands and deep water habitats in the United States. Certain wetland habitats are excluded from the National mapping program because of the limitations of aerial imagery as the primary data source used to detect wetlands. By policy, the Service also excludes certain types of "farmed wetlands" as may be defined by the Food Security Act. Source from: ArcGIS.

The data includes average percent of possible sunshine by month. Source from: NOAA.

The Consumer Price Index (CPI) for food is a component of the all-items CPI. The CPI measures the average change over time in the prices paid by urban consumers for a representative market basket of consumer goods and services. While the all-items CPI measures the price changes for all consumer goods and services, including food, the CPI for food measures the changes in the retail prices of food items only. ERS's monthly update is usually released on the 25th of the month; however, if the 25th falls on a weekend or a holiday, the monthly update will be published on either the 23rd or 24th. This report provides a detailed outline of ERS's forecasting methodology, along with measures to test the precision of the estimates (May 2015). At ERS, work on the CPI for food consists of several activities. ERS reports the current index level for food, examines changes in the CPI for food, and constructs forecasts of the CPI for food for the next 12-18 months. Forecasting the CPI for food has become increasingly important due to the changing structure of food and agricultural economies and the important signals the forecasts provide to farmers, processors, wholesalers, consumers, and policymakers. As a natural extension of ERS's work with the CPI for food, ERS also analyzes and models forecasts for the Producer Price Index (PPI). The PPI is similar to the CPI in that it measures price changes over time; however, instead of measuring changes in retail prices, the PPI measures the average change in prices paid to domestic producers for their output. The PPI collects data for nearly every industry in the goods-producing sector of the economy. Changes in farm-level and wholesale-level PPIs are of particular interest in forecasting food CPIs. cpi

The dataset contains the name, principal manager title, and website for over 8000 independent financial management firms. Also included is the contact email addresses for 1,805 principal managers. The data was collected by first identifying investment firms through the Independent Adviser Registration Depository (IARD) and then web search and manual data entry to collect contact emails. The list represents IARD registered investment advisors as of Jan 2017.