A Framework for Conducting Numerical Experiments on Cost System Design

Author:

Anand Vic V.1,Balakrishnan Ramji2,Labro Eva3ORCID

Affiliation:

1. University of Illinois at Urbana–Champaign

2. The University of Iowa

3. The University of North Carolina at Chapel Hill

Abstract

ABSTRACT This paper aims to advance the use of numerical experiments in the study of cost system design. As with laboratory and field experiments, researchers must decide on the independent variables and their levels, the experimental design, and the dependent variables. Options for dependent and independent variables are ample, as are ways to model the relations among these variables. We provide a modular framework that provides structure to these variables, their definitions, and the modeling of connections among them. Further, we offer insights into the design and layout of output data files to facilitate data analysis. We also present tips on how to report the results from such numerical experiments effectively. Finally, we provide C# source code for many of these modules in an online appendix. We hope that the framework and guidance provided in this paper will promote further meaningful work in this important area of management accounting. Data Availability: The appendix and computer code that accompany this paper are available for downloading at https://github.com/vanand74/CostSystemSim. We request that anybody who downloads the code and amends it for their research paper purposes acknowledges their use of this code and references this paper in an acknowledgement section.

Publisher

American Accounting Association

Subject

Accounting,Business and International Management

Reference43 articles.

1. Anand, V., R.Balakrishnan, and E.Labro. 2014. Updating Cost Systems. Working paper, The University of North Carolina at Chapel Hill.

2. Obtaining informationally consistent decisions when computing costs with limited information;Anand;Production and Operations Management,2017

3. Evidence on the cost hierarchy: The association between resource consumption and production activities;Anderson;Journal of Management Accounting Research,2013

4. Cost driver optimization in activity-based costing;Babad;The Accounting Review,1993

5. On the efficiency of cost-based decision rules for capacity planning;Balachandran;The Accounting Review,1997

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