Unemployment rate in the context of "Unemployment in the United States"

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⭐ Core Definition: Unemployment rate

Unemployment is the state not being in paid employment or self-employment but currently available for work. Unemployment is measured by the unemployment rate, which is the number of people who are unemployed as a percentage of the labour force (the total number of people employed above a specified age added to those unemployed) during the reference period.

Unemployment can have many sources, such as the following below:

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👉 Unemployment rate in the context of Unemployment in the United States

Unemployment in the United States discusses the causes and measures of U.S. unemployment and strategies for reducing it. Job creation and unemployment are affected by factors such as economic conditions, global competition, education, automation, and demographics. These factors can affect the number of workers, the duration of unemployment, and wage levels.

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Unemployment rate in the context of Employment-to-population ratio

Employment rate, also called the employment-to-population ratio, is a statistical ratio that measures the proportion of a country's working age population (statistics are often given for ages 15 to 64) that is employed. This includes people that have stopped looking for work. The International Labour Organization states that a person is considered employed if they have worked at least 1 hour in "gainful" employment in the most recent week.

The employment-to-population ratio is usually calculated and reported periodically for the economy by the national agency of statistics.

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Unemployment rate in the context of Data

Data (/ˈdtə/ DAY-tə, US also /ˈdætə/ DAT) are a collection of discrete or continuous values that convey information, describing the quantity, quality, fact, statistics, other basic units of meaning, or simply sequences of symbols that may be further interpreted formally. A datum is an individual value in a collection of data. Data are usually organized into structures such as tables that provide additional context and meaning, and may themselves be used as data in larger structures. Data may be used as variables in a computational process. Data may represent abstract ideas or concrete measurements.Data are commonly used in scientific research, economics, and virtually every other form of human organizational activity. Examples of data sets include price indices (such as the consumer price index), unemployment rates, literacy rates, and census data. In this context, data represent the raw facts and figures from which useful information can be extracted.

Data are collected using techniques such as measurement, observation, query, or analysis, and are typically represented as numbers or characters that may be further processed. Field data are data that are collected in an uncontrolled, in-situ environment. Experimental data are data that are generated in the course of a controlled scientific experiment. Data are analyzed using techniques such as calculation, reasoning, discussion, presentation, visualization, or other forms of post-analysis. Prior to analysis, raw data (or unprocessed data) is typically cleaned: Outliers are removed, and obvious instrument or data entry errors are corrected.

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Unemployment rate in the context of Strange attractor

In the mathematical field of dynamical systems, an attractor is a set of states toward which a system tends to evolve, for a wide variety of starting conditions of the system. System values that get close enough to the attractor values remain close even if slightly disturbed.

In finite-dimensional systems, the evolving variable may be represented algebraically as an n-dimensional vector. The attractor is a region in n-dimensional space. In physical systems, the n dimensions may be, for example, two or three positional coordinates for each of one or more physical entities; in economic systems, they may be separate variables such as the inflation rate and the unemployment rate.

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Unemployment rate in the context of Natural rate of unemployment

The natural rate of unemployment is the name that was given to a key concept in the study of economic activity. Milton Friedman and Edmund Phelps, tackling this 'human' problem in the 1960s, both received the Nobel Memorial Prize in Economic Sciences for their work, and the development of the concept is cited as a main motivation behind the prize. A simplistic summary of the concept is: 'The natural rate of unemployment, when an economy is in a steady state of "full employment", is the proportion of the workforce who are unemployed'. Put another way, this concept clarifies that the economic term "full employment" does not mean "zero unemployment". It represents the hypothetical unemployment rate consistent with aggregate production being at the "long-run" level. This level is consistent with aggregate production in the absence of various temporary frictions such as incomplete price adjustment in labor and goods markets. The natural rate of unemployment therefore corresponds to the unemployment rate prevailing under a classical view of determination of activity.

The natural unemployment rate is mainly determined by the economy's supply side, and hence production possibilities and economic institutions. If these institutional features involve permanent mismatches in the labor market or real wage rigidities, the natural rate of unemployment may feature involuntary unemployment. The natural rate of unemployment is a combination of frictional and structural unemployment that persists in an efficient, expanding economy when labor and resource markets are in equilibrium.

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Unemployment rate in the context of Economic data

Economic data are data describing an actual economy, past or present. These are typically found in time-series form, that is, covering more than one time period (say the monthly unemployment rate for the last five years) or in cross-sectional data in one time period (say for consumption and income levels for sample households). Data may also be collected from surveys of for example individuals and firms or aggregated to sectors and industries of a single economy or for the international economy. A collection of such data in table form comprises a data set.

Methodological economic and statistical elements of the subject include measurement, collection, analysis, and publication of data. 'Economic statistics' may also refer to a subtopic of official statistics produced by official organizations (e.g. statistical institutes, intergovernmental organizations such as United Nations, European Union or OECD, central banks, ministries, etc.). Economic data provide an empirical basis for economic research, whether descriptive or econometric. Data archives are also a key input for assessing the replicability of empirical findings and for use in decision making as to economic policy.

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