22 docs tagged with "data analysis"

Explore a framework for analyzing location quotient values, including empirical examples and a 2D space representation.

Explore the aggregation of fluctuating agents, focusing on variance relations and quantile analysis.

Explore techniques for tracing the aggregation of firm-level exports and imports into national aggregates, with a focus on sectoral and aggregate fluctuations.

Detailed description of computational experiments for measuring dependence of aggregate idiosyncratic variance with population size.

An exploration into the persistence of firm sizes and the meaningfulness of associating firms to a size value over their lifetime.

Explore the correlation structure of industries and regions in the United States, revealing geographical patterns and industry spaces.

An exploration of the data and methods used in analyzing French trade, focusing on the PHID dataset and formal relations in sales time series.

An exploration of the data and methods used in analyzing economic activities across the contiguous United States, focusing on the County Business Patterns datasets.

Explore the impact of empirical distributions on row and column sums, with a focus on logarithmic transformations and their implications.

Detailed exploration of estimating probabilistic location quotients (pLQ) using k-nearest neighbor algorithm.

An analysis of firm-level fluctuations using log differences, exploring growth rates, autocorrelation, and aggregation methods.

Explore the dynamics of economic agents and aggregate characteristics, emphasizing the role of size distributions and micro fluctuations.

Explore the concept of location quotients in economic studies, their challenges, and potential solutions to size distortions.

An in-depth review of the literature on Location Quotient transformations, discussing their applications, limitations, and alternatives in various contexts.

Explore the continuous generalization of the binary LQ > 1 variable using pLQ, enhancing the analysis of bipartite networks.

Explore the correspondence of various similarity measures in employment and establishment data across US counties.

Explore Pearson correlation and cosine similarity as key measures for analyzing employment levels and establishment numbers across US counties.

Explore the decomposition of sectoral sales time series into components, focusing on aggregate variance and cross covariance matrices.

Analysis of the size distribution of firms in the French traders dataset, highlighting log-normal and Pareto distributions.

Explore the categorization and transformation of empirical data, focusing on the implications of different methods on study outcomes.

Explore various similarity measures such as Pearson correlation, cosine similarity, and covariance to understand relationships within data matrices.

Explore the intricacies of location quotients, their transformation from raw data, and the impact of size distortions on their interpretation.