Cross sectional data analysis

Wikipedia, the free to: navigation, -sectional data, or a cross section of a study population, in statistics and econometrics is a type of data collected by observing many subjects (such as individuals, firms, countries, or regions) at the same point of time, or without regard to differences in time.

Analysis of cross-sectional data usually consists of comparing the differences among the example, if we want to measure current obesity levels in a population, we could draw a sample of 1,000 people randomly from that population (also known as a cross section of that population), measure their weight and height, and calculate what percentage of that sample is categorized as obese.

This cross-sectional sample provides us with a snapshot of that population, at that one point in time.

Note that we do not know based on one cross-sectional sample if obesity is increasing or decreasing; we can only describe the current -sectional data differs from time series data, in which the same small-scale or aggregate entity is observed at various points in time.

Another type of data, panel data (or longitudinal data), combines both cross-sectional and time series data ideas and looks at how the subjects (firms, individuals, etc.

Panel data differs from pooled cross section data across time, because it deals with the observations on the same subjects in different times whereas the latter observes different subjects in different time periods.

Panel analysis uses panel data to examine changes in variables over time and differences in variables between the a rolling cross-section, both the presence of an individual in the sample and the time at which the individual is included in the sample are determined randomly.

Sectional data can be used in cross-sectional regression, which is regression analysis of cross-sectional data.

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Sectional analysis is a type of analysis that an investor, analyst or portfolio manager may conduct on a company in relation to that company's industry or industry peers.

The analysis compares one company against the industry in which it operates, or directly against certain competitors within the same industry, in an attempt to assess performance and investment ng down 'cross-sectional analysis'.

Conducting a cross-sectional analysis, the analyst uses comparative metrics to identify the valuation, debt-load, future outlook and/or operational efficiency of a target company.

When comparing the target firm to competitors, the analyst must be careful to consider the unique operating characteristics of each company, and how those characteristics will affect any comparative metrics ting a cross-sectional analysisanalysts implement a cross-sectional analysis to identify special characteristics within a group of comparable organizations, rather than to establish relationships.

This type of analysis is based on information-gathering and seeks to understand the "what" instead of the "why.

Cross-sectional analysis allows a person to form assumptions, and then test his hypothesis using research -sectional analysis looks at data collected at a single point in time, rather than over a period of time.

The analysis begins with the establishment of research goals and the definition of the variables that an analyst wants to measure.

The next step is to identify the cross-section, such as a group of peers or an industry, and to set the specific point in time being assessed.

The final step is to conduct analysis, based on the cross-section and the variables, and come to a conclusion on the performance of a company or example of cross-sectional analysiscross-sectional analysis is not used solely for analyzing a company; it can be used to analyze many different things in business.

Factor timing is the ability for hedge fund mangers to time the market correctly when investing, and to take advantage of market movements such as recessions or study used cross-sectional analysis and found that factor timing skills are better among fund managers who use leverage to their advantage, and who manage funds that are newer, smaller and more agile, with higher incentive fees and a smaller restriction period.

The analysis can help investors select the best hedge funds and hedge fund able company analysis - is of variances - t with with with investopedia.