Management Acc Chapter 9, Lecture notes of Management Accounting

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Management Accounting
Chapter 9:
A cost function is a mathematical function describing cost behavior patterns-how costs change with
changes in the cost driver.
Two assumptions are made frequently when estimating cost functions:
1. Variations in the total costs of a cost-object are explained by variations in a single cost driver
2. Cost behavior is adequately approximated by a linear cost function (a cost function, where
within the relevant range, the graph of total costs versus a single cost driver forms a straight
line) of the cost driver withing the relevant range.
Slope coefficient: the amount by which total costs change for a unit change in the cost driver within
the relevant range
constant/intercept: the component of total costs that, within the relevant range, does not vary with
changes in the level of the cost driver
mixed cost (semivariable cost): a cost that has both fixed and variable elements
cost estimation: the attempt to measure past cost relationships between total costs and the drivers
of those costs
โ†’ these estimations can help them make more accurate cost predictions: forecasts about future
costs
Three specifications necessary to classify costs into their variable and fixed components:
โ€“Choice of cost object: A particular cost item could be variable with respect to one cost object
and fixed with respect to another
โ€“Time span: Wether a cost is variable or fixed with respect to a particular driver depends on
the time span considered in the decision situation. The longer the time span, other things
being equal, the more likely that the cost will be variable
โ€“Relevant range: Accountants and managers use linear cost functions to approximate the
relation of total costs to cost drivers within a relevant range
The cause-and-effect criterion in choosing cost drivers:
The most important issue in estimating a cost function is to determine wether a cause-and-effect
relationship exists between the cost driver and the resulting costs.
โ†’ might arise in several ways:
โ€“It may be due to a physical relationship between costs and the cost driver
โ€“Can arise from a contractual agreement
โ€“Can be implicitly established by logic and knowledge of operations
Be careful not to interpret a high correlation or connection between two variables to mean that
either variable causes the other.
Establishing economic plausibility is a vital aspect of cost estimation.
Cost estimation approaches:
โ€“industrial engineering method
โ€“conference method
โ€“account analysis method
โ€“quantitative analysis of current or past cost relationships
These approaches differ in the costs of conducting the analysis, the assumptions they make, and the
evidence they provide about the accuracy of the estimated cost function.
Industrial engineering method (work-measurement method): estimates cost functions by
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Management Accounting Chapter 9: A cost function is a mathematical function describing cost behavior patterns-how costs change with changes in the cost driver. Two assumptions are made frequently when estimating cost functions:

  1. Variations in the total costs of a cost-object are explained by variations in a single cost driver
  2. Cost behavior is adequately approximated by a linear cost function (a cost function, where within the relevant range, the graph of total costs versus a single cost driver forms a straight line) of the cost driver withing the relevant range. Slope coefficient: the amount by which total costs change for a unit change in the cost driver within the relevant range constant/intercept: the component of total costs that, within the relevant range, does not vary with changes in the level of the cost driver mixed cost (semivariable cost): a cost that has both fixed and variable elements cost estimation: the attempt to measure past cost relationships between total costs and the drivers of those costs โ†’ these estimations can help them make more accurate cost predictions: forecasts about future costs Three specifications necessary to classify costs into their variable and fixed components:
  • Choice of cost object: A particular cost item could be variable with respect to one cost object and fixed with respect to another
  • Time span: Wether a cost is variable or fixed with respect to a particular driver depends on the time span considered in the decision situation. The longer the time span, other things being equal, the more likely that the cost will be variable
  • Relevant range: Accountants and managers use linear cost functions to approximate the relation of total costs to cost drivers within a relevant range The cause-and-effect criterion in choosing cost drivers: The most important issue in estimating a cost function is to determine wether a cause-and-effect relationship exists between the cost driver and the resulting costs. โ†’ might arise in several ways:
  • It may be due to a physical relationship between costs and the cost driver
  • Can arise from a contractual agreement
  • Can be implicitly established by logic and knowledge of operations Be careful not to interpret a high correlation or connection between two variables to mean that either variable causes the other. Establishing economic plausibility is a vital aspect of cost estimation. Cost estimation approaches:
  • industrial engineering method
  • conference method
  • account analysis method
  • quantitative analysis of current or past cost relationships These approaches differ in the costs of conducting the analysis, the assumptions they make, and the evidence they provide about the accuracy of the estimated cost function. Industrial engineering method (work-measurement method): estimates cost functions by

analyzing the relationship between inputs and outputs in physical terms โ†’ can be very time-consuming conference method: estimates cost functions on the basis of analysis and opinions about costs and their drivers gathered from various departments of an organization (purchasing, process engineering, manufacturing, employee relationships and so on) โ†’ allows cost functions and cost estimates to be developed quickly, accuracy largely depends on the care and detail by the people providing the inputs account analysis method: estimates cost functions by classifying cost accounts in the ledger as variable, fixed or mixed with respect to the identified cost driver, widely used Steps in estimating a cost function: Quantitative analyses of cost relationships are formal methods to fit linear cost functions to past data observations. Six steps:

1. Choose the dependent variable: dependent variable: the cost variable to be predicted; the choice will depend on the purpose for estimating a cost function 2. Identify the independent variable(s) or cost driver(s): the independent variable (level of activity or cost driver) is the factor used to predict the dependent variable (costs). Usually the term 'cost driver' is used to describe the independent variable

  1. Collect data on the dependent variable and the cost driver(s): Cost analysts obtain data from company documents, from interviews with managers and through special studies. Data may be either time-series or cross-sectional
  2. Plot the data: The general relation between the dependent variable and the cost driver can be readily be observed in a plot of the data
  3. Estimate the cost function: use either high-low-method or regression analysis
  4. Evaluate the estimated cost function High-low method: entails using only the highest and lowest observed values of the cost driver within the relevant range โ†’ Danger: just picking highest and lowest values can sometimes be a poorly description of the underlying cost relationship โ†’ therefore sometimes modified: picking representative values Regression analysis: s statistical method that measures the average amount of change in the dependent variable that is associated with a unit change in one or more independent variables โ†’ simple regression analysis: estimates the relationship between the dependent variable and one independent variable โ†’ multiple regression analysis: estimates the relationship between the dependent variable and multiple independent variables residual term: the difference between actual and predicted cost โ†’ the smaller the residual term, the better the fit between predicted costs and actual cost observations. Goodness of fit indicates the strength of the relationship between the cost driver and costs Evaluating and choosing cost drivers: What guidance do the different cost estimation methods provide for choosing among cost drivers? The industrial engineering method relies on analyzing physical relationships between costs and cost driver, which are difficult to specify in this case. The conference method and the account analysis method use subjective assessments to choose a cost driver and to estimate the fixed and variable components of the cost function. Three most important criteria for choosing a cost driver:
  • Economic plausibility
  • Goodness of fit
  • Slope of regression line (a relatively flat regression line indicates a weak or no relationship)