The phrase "analysis of choices" is correct and usable in written English.
It can be used when discussing the examination or evaluation of different options or decisions in various contexts, such as decision-making, research, or problem-solving.
Example: "The analysis of choices made by consumers can provide valuable insights into market trends and preferences."
Alternatives: "evaluation of options" or "examination of decisions."
Kahneman, Daniel and Amos Tversky, "Prospect Theory: An Analysis of Choices Involving Risk," Econometrica, 47 (1979), 263-291.
Understanding individual or household-level preferences regarding these tradeoffs is not always straightforward, and it often requires an analysis of choices under alternative scenarios.
However, when new genomes are reported in the literature, there is frequently very little critical analysis of choices made during the sequence assembly and gene annotation stages.
Those decisions may or may not conform with the results of the analysis of choices and their optimality or preferential rankings and can be scrutinized by a court.
The combination of these 2 sets leads to an analysis of choices that can have different implications for informing decision makers.
Psychometric analysis of choices in monkeys with variable early vs. constant 4, 8 and 16 s delayed rewards reveals graded hyperbolic decays in subjective value by 25, 50 and 75%, respectively, compared to reward at 2 s [ 15].
This paper summarizes an analysis of choice preferences of Chinese companies to the design options of carbon tax policy.
These results are supported by both structural estimation of latent preferences as well as non-parametric analysis of choice patterns.
The paper attempts to cover the full process of undertaking a choice experiment, including survey and experimental design, econometric analysis of choice data and welfare analysis.
Unlike most stated choice experiments about the valuation of improvements in water quality, this study explicitly accounts for risk in the design and analysis of choice experiments.
Topics covered in his classes include economic models of decision making for engineering, analysis of choice microdata, statistical point and interval estimation, simulation-aided inference (Monte Carlo techniques), Bayesian econometrics, nonlinear optimization, and advanced numerical methods.
