We report results of experiments designed to test the predictions of the best-reply process. In a Cournot oligopoly with four firms, the best-reply process should theoretically explode if demand and cost functions are linear. We find, however, no experimental evidence of such instability. Moreover, we find no differences between a market which theoretically should not converge to Nash equilibrium and one which should converge because of inertia. We investigate the power of several learning dynamics to explain this unpredicted stability.

The Minerals Management Service (MMS) of the U. S. Department of the Interior funded the Deepwater Physical Oceanography Reanalysis and Synthesis of Historical Data Study in the Gulf of Mexico. MMS awarded the contract to the Texas A&M Research Foundation in July 1998. The basic study area is bounded by the shelf edge and the 25DGN latitude, which is the southern boundary; it extends from sea surface to sea floor. MMS has four objectives for the study. First is to create an inventory of physical oceanographic data and compile it into a single database on a CD-ROM. Second is to conduct analyses and interpretations of the physical oceanographic data to identify physical processes and phenomena. Third is to produce a climatology of the processes from available data and analyses and to prioritize the processes in terms of importance to improved understanding, simulation, and prediction of deepwater circulation. Fourth is to provide criteria and constraints useful in design of future field observations and numerical modeling efforts. Study results will provide MMS with information needed to direct its resources more efficiently and effectively in the review and assessment of potential environmental impacts of offshore oil and gas operations in the deepwater Gulf of Mexico.

The Nationwide Emergency Department Sample (NEDS) is part of a family of databases and software tools developed for the Healthcare Cost and Utilization Project (HCUP). The NEDS is the largest all-payer emergency department (ED) database in the United States, yielding national estimates of hospital-based ED visits. The NEDS enables analyses of ED utilization patterns and supports public health professionals, administrators, policymakers, and clinicians in their decisionmaking regarding this critical source of care.

About this dataset

Context

The dataset tabulates the Mission population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Mission across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2023, the population of Mission was 10,014, a 2.05% increase year-by-year from 2022. Previously, in 2022, Mission population was 9,813, a decline of 0.76% compared to a population of 9,888 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Mission increased by 173. In this period, the peak population was 10,014 in the year 2023. The numbers suggest that the population has not reached its peak yet and is showing a trend of further growth. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the Mission is shown in this column.
• Year on Year Change: This column displays the change in Mission population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Mission Population by Year. You can refer the same here