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A Branching AIDS Model for Estimating U.S. Postal Price Elasticities

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Postal and Delivery Innovation in the Digital Economy

Abstract

In this paper we apply an econometric method based upon the Almost Ideal Demand System (AIDS) originally developed by Deaton and Muellbauer (1980) and extended by Hausman et al. (1994) to estimate a series of complete matrices of price elasticities for U.S. Postal Service (USPS) domestic mail. Our model organizes USPS revenues, volumes and prices as a tree with branches corresponding to increasing disaggregations of U.S. domestic mail by class, by rate category and by shape. The matrices of price elasticities apply to the levels of disaggregation as we proceed up the tree. Our results demonstrate that modern econometric methods are capable of producing complete matrices of postal price elasticities at a level of detail and accuracy that is beyond the capabilities of conventional methods.

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Notes

  1. 1.

    The technical reason for this limitation is that the prices of products that are close substitutes are inevitably almost co-linear within a finite sample (Cigno et al. 2013b).

  2. 2.

    The model includes exponential trends to represent the expansion (or contraction) path of demand following a change in market conditions to which postal customers take time to adapt. The trends start on the date of the event that triggered them and are derived using an estimated common annual rate of adaptation. See Pearsall (2005).

  3. 3.

    The AR-4 process is handled by performing an initial least-squares fit of the trunk equation, deriving an estimate of the parameters of the AR-4 process from the residuals, transforming the data so that the transformed errors are serially uncorrelated, and refitting the trunk equation to the transformed data.

  4. 4.

    This property also makes the branching AIDS model a generalized Gorman polar form. As Hausman et al. (1994) point out, the AIDS model is compatible with an exact two-stage budget process. In order to have our entire model exactly compatible with a multi-stage budgeting process, each branching point requires a demand model that is a generalized Gorman polar form. We meet this requirement by specifying an AIDS model at each branching point of the tree.

  5. 5.

    Shares are calculated from seasonally adjusted quarterly revenues and, therefore, are free of purely seasonal effects.

  6. 6.

    The disturbance ϵ it is serially uncorrelated with a zero mean and stationary variance σ i 2. However, the disturbances for the N share equations at a given branching point cannot be independent because of the fact that the shares must always sum to one. We have assumed that the disturbances for the equations at each branching point have a stationary N by N variance-covariance matrix Ω.

  7. 7.

    In order to avoid making the price index endogenous, Hausman and Leonard (2005) recommend using revenue shares that are averages over the sample period as weights.

  8. 8.

    This is the principal operational consequence of using a model that is a generalized Gorman polar form. Total revenue, Y, is predetermined because it is set by a budgeting process that does not depend upon how revenues are sub-divided further up the tree.

  9. 9.

    A minor detail of the estimation process is the estimation of the scale parameter α 0 appearing in the formula for ln(P). Deaton and Muellbauer (1980) describe α 0 as the aggregate expenditure for a subsistence standard of living when all prices are unity. They recommend that α 0 be determined a priori. We have estimated subsistence expenditures from our fitted equations and exploited the recursive structure of the branching AIDS model. Subsistence expenditures for all domestic mail are obtained by evaluating the trunk equation with subsistence estimates of real GDP and net worth per household, with \( P/\overline{P}=1 \), and with all other variables set to their sample averages. This yields α 0 for the estimation of the combined share equation for the main branches. The fitted share equations are then evaluated with the subsistence expenditure, with the prices p i  = 1 for i = 1,.., N, and with the other variables at their sample averages. These shares are used to divide the aggregate subsistence expenditure among the postal classes providing the estimates of α 0 for the estimation of the share equations for the secondary branching points. The calculation of subsistence expenditures is carried on in this fashion all of the way up the tree.

  10. 10.

    To initiate the iterative process, we calculate Stone’s price index using the sample average revenue proportions as fixed weights. Then we fit the combined share equations using Stone’s index and use the resultant coefficient estimates to calculate the AIDS price index from the formula for ln(P). Next, we average the AIDS price index and Stone’s index to obtain a new index, P, which we use to re-estimate the combined share equation. We use the new coefficients to recalculate the AIDS price index. For the next iteration, the new AIDS price index and previously estimated index P are averaged again to obtain a new index P, which is used to re-estimate the combined share equation. The iterations are repeated until the calculated AIDS price index and the P used to fit the combined share equation have converged. In our experience satisfactory convergence typically takes less than ten iterations.

  11. 11.

    The shape-level matrix is 43 by 43.

  12. 12.

    When Stone’s index is used: ϵ P j = w j ; when a FWI price is used: ϵ P j = w j p j /P.

  13. 13.

    In fact, they are the same in Hausman et al.’s (1994) application of a similar branching model to beer. In that application, the AIDS price indices, calculated from the highest level share equation fits, are used as product prices at the next lowest level. This is not a practical option with U.S. postal prices because of the brevity of the time series that are available for fitting the shape-level AIDS share equations.

References

  • Cigno, M. M., Clendenin, K. K., & Pearsall, E. S. (2013a). Estimation of the standard linear model under inequality constraints. http://www.prc.gov/

  • Cigno, M. M., Patel, E. S., & Pearsall, E. S. (2013b). Estimates of US postal price elasticities of demand derived from a random-coefficients discrete-choice normal model, Ch. 6. In M. A. Crew & P. R. Kleindorfer (Eds.), Reforming the postal sector in the face of electronic competition. Cheltenham/Northampton: Edward Elgar.

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Appendices

Appendix 1: Derivation of the Matrices of Price Elasticities

We derive matrices of price elasticities progressively for each branching level. At each level the equation combines a price elasticity derived for the level below with elasticities taken from the estimated coefficients of the AIDS share equations at the branching level to obtain an element of the matrix of price elasticities.

The progression begins with the own-price elasticity, ε, for all domestic mail with respect to its average revenue per piece, P. This elasticity is combined with three demand elasticities drawn from the estimates of the coefficients of the AIDS share equations for the major branches that divide the mail by classes. These are:

  • The elasticity of demand for product i with respect to total postal expenditures, Y: ε Y i  = (1 + β i /s i ),

  • The elasticity of the AIDS price index, P, with respect to the price, p j of product j: ε j P  = α j  + ∑  N i = 1 γ ji ln(p i ), Footnote 12 and

  • The elasticity of demand for product i with respect to the price, p j of product j: ε M ij  = − 1(i = j) + (γ ij  − β i ε j P )/s i .

The latter elasticity, ε M ij , is a Marshallian elasticity because it is derived under the assumption that the expenditure, Y, is fixed.

The Marshallian elasticity does not capture the entire effect of a change in the price of product j on demand for product i. The complete elasticity of demand for product i with respect to the price of product j may be derived under the assumption that revenue per piece in the trunk equation and the AIDS price index that emerges from the estimates of the share equations are the same.Footnote 13 Under this assumption we obtain the complete elasticity by adding to the Marshallian elasticity a term to capture the effect on demand for product i, Q i , of changes in the price p j transmitted first to the price index, P, and then on through the effect of P on total postal expenditures, Y :

$$ {\varepsilon}_{ij}=-1\left(i=j\right)+\left({\gamma}_{ij}-{\beta}_i{\varepsilon}_j^P\right)/{s}_i+\frac{\partial \ln \left({Q}_i\right)}{\partial \ln (Y)}\frac{\partial \ln (Y)}{\partial \ln (P)}\frac{\partial \ln (P)}{\partial \ln \left({p}_j\right)}, $$

where \( \frac{\partial \ln \left({Q}_i\right)}{\partial \ln (Y)}={\varepsilon}_i^Y, \) \( \frac{\partial \ln (Y)}{\partial \ln (P)}=1+\varepsilon, \) and \( \frac{\partial \ln (P)}{\partial \ln \left({p}_j\right)}={\varepsilon}_P^j. \)

We calculate the elements of the matrix of price elasticities for postal volumes disaggregated to the class level by evaluating this formula using the elasticities obtained from fitting the trunk equation and the AIDS share equations for the classes. Substituting elasticities in the formula above we have:

$$ {\varepsilon}_{ij}={\varepsilon}_{ij}^M+{\varepsilon}_i^Y\left(1+\varepsilon \right){\varepsilon}_P^j. $$

This is the general version of an equation found in Hausman and Leonard (2005). Technically, it is the formula for a Marshallian demand elasticity because long-term real GDP per household is fixed when we calculate ϵ. However, postal expenditures are a very small part of an average household’s total income. So, ε ij , differs little from the Hicksian (compensated) elasticity. Consequently, we can inspect the estimated elasticities, as we normally would, for compatibility with neoclassical demand theory (ε ii  ≤ 0), and to identify substitutes (ε ij  > 0) and complements (ε ij  < 0) when i ≠ j.

The formula above is sufficient to compute all of the elements of the matrix of price elasticities by major class, i.e. for the major branches of the tree in Fig. 1. The information needed to apply the formula is of the same form and origin for every element of the matrix. Specifically, the trunk equation elasticity, ϵ, is the same for every element. Other elasticities in the right-hand side of the formula are all derived from the fit of a single combined share equation.

However, the structure of the matrix of price elasticities becomes more complex as we move up the tree. At the next branch level domestic mail for the major classes is subdivided among work-sharing categories or among customer categories. Each class has its own set of share equations combined and fit to postal data disaggregated into work-sharing and customer categories. The matrix of price elasticities by these categories has rectangular blocks corresponding to the elements of the matrix of elasticities by major class:

$$ \left[\begin{array}{ccc}\left[{\varepsilon}_{11}\right]& \cdots & \left[{\varepsilon}_{1N}\right]\\ {}\vdots & \ddots & \vdots \\ {}\left[{\varepsilon}_{N1}\right]& \cdots & \left[{\varepsilon}_{NN}\right]\end{array}\right] $$

The diagonal blocks are square matrices with elements that apply to mail categories within the same class. The off-diagonal blocks hold cross elasticities between the categories of two different classes. The formulas above are adapted somewhat differently to calculate the elasticities in the diagonal and off-diagonal blocks.

The block [ε kk ] contains all of the own-price and cross-price elasticities for the work-sharing and customer categories within the major mail class k. The information required to estimate the elements of the block is similar to that used to calculate the elements of the class-level matrix of elasticities. The own-price elasticity for all of the mail in class k is just the k-th diagonal element of the class-level matrix ε kk . This elasticity now assumes the previous role of the aggregate own-price elasticity from the trunk equation, ε. Additionally, we need the three elasticities derived from the coefficients of the AIDS share equations for the major branching point that divide the postal revenues of class k. If Y k denotes total revenue and P k is the AIDS price index for class k, the three elasticities that we calculate from the fits of the share equations are:

  • The elasticity of demand for product i with respect to the postal expenditures, Y k :

    $$ {\varepsilon}_i^{Y_k}=\left(1+{\beta}_i/{s}_i\right), $$
  • The elasticity of the AIDS price index P k with respect to the price of product j:

    $$ {\varepsilon}_{P_k}^j={\alpha}_j+{\displaystyle \sum}_{i=1}^N{\gamma}_{ji} \ln \left({p}_i\right),\;\mathrm{and}, $$
  • The Marshallian elasticity of demand for product i with respect to the price of product j:

    $$ {\varepsilon}_{ij}^{M_k}=-1\left(i=j\right)+\left({\gamma}_{ij}-{\beta}_i{\varepsilon}_{P_k}^j\right)/{s}_i. $$

Both products i and j are members of class k. The formula for an element, ϵ ij , of the diagonal block [ϵ kk ] is:

$$ {\varepsilon}_{ij}={\varepsilon}_{ij}^{M_k}+{\varepsilon}_i^{Y_k}\left(1+{\varepsilon}_{kk}\right){\varepsilon}_{P_k}^j. $$

An off-diagonal block [ε kl ] holds all of the cross-price elasticities between the products in two different major classes, k ≠ l. The cross-price elasticity of demand for postal services in class k with respect to the class-level price index for class l is the element ε kl in the k-th row and l-th column of the class-level matrix. The division of the total revenue Y k among the work-sharing and customer categories of class k does not require and makes no direct use of the prices that apply to the categories of another class such as class l. The elasticities taken from the fits of share equations are:

  • The elasticity of demand for product i with respect to the postal expenditures, Y k and using the coefficients of the share equations for class k:

    $$ {\varepsilon}_i^{Y_k}=\left(1+{\beta}_i/{s}_i\right). $$
  • The elasticity of the AIDS price index P l with respect to the price of product j:

    $$ {\varepsilon}_{P_l}^j={\alpha}_j+{\displaystyle \sum}_{i=1}^N{\gamma}_{ji} \ln \left({p}_i\right) $$
  • The elasticity ε ij consists entirely of the effect on demand for product i, Q i , of changes in the price p j transmitted indirectly through the effect on the postal expenditures for class k, Y k :

    $$ {\varepsilon}_{ij}=\frac{\partial \ln \left({Q}_i\right)}{\partial \ln \left({Y}_k\right)}\frac{\partial \ln \left({Y}_k\right)}{\partial \ln \left({P}_l\right)}\frac{\partial \ln \left({P}_l\right)}{\partial \ln \left({p}_j\right)}. $$
  • After making the substitutions: \( \frac{\partial \ln \left({Q}_i\right)}{\partial \ln \left({Y}_k\right)}={\varepsilon}_i^{Y_k}, \) \( \frac{\partial \ln \left({Y}_k\right)}{\partial \ln \left({P}_l\right)}={\varepsilon}_{kl}, \) and \( \frac{\partial \ln \left({P}_l\right)}{\partial \ln \left({p}_j\right)}={\varepsilon}_{P_l}^j. \), we have:

    $$ {\varepsilon}_{ij}={\varepsilon}_i^{Y_k}{\varepsilon}_{kl}{\varepsilon}_{P_l}^j. $$

At the highest level of the tree many of the expenditures for work-sharing and customer categories are further subdivided by shape. The mathematics simply repeats with the matrix of price elasticities composed of rectangular blocks that correspond to the elements of the matrix of price elasticities by category.

Appendix 2: Category-Level Matrix of Price Elasticities

Class

 

First-class mail

Priority & express

Periodicals

Standard regular mail

Standard nonprofit mail

Package services

Row sun

 

Category

S-P

Non-auto

Auto

Priority

Express

In-County

Non profit

Classroom

Regular

Non-auto

Auto

CR basic

CR HD &Sarcel

Non-auto

Auto

CR basic

CR HD& Sarcel

Po$

BPM

Med & lib

First-class mail

Single-piece

−0.153

−0.396**

−0.206

0.092**

0.023**

−0.002**

−0.012**

−0.002**

−0.059**

−0.048

0.082

−0.048

0.089

0.022**

−0.058**

0.023**

−0.022**

0.023*

0.011*

0.007*

−0.636

Non-automated

−12.243**

−15.843**

23.870**

0.511

0.128

−0.013

−0.067

−0.012

−0.329

−0.268

0.460

−0.270

0.494

0.123

−0.323

0.131

−0.125

0.130

0.060

0.037

−3.550

Automated

−0.199

0.774**

−1.316**

0.090**

0.023**

−0.002**

−0.012**

−0.002**

−0.058**

−0.047

0.081

−0.047

0.087

0.022**

−0.057**

0.023**

−0.022**

0.023*

0.011*

0.006*

−0.625

Priority & express mail

Priority

0.312**

−0.114**

0.345**

−1.120**

0.019

−0.001

−0.005

−0.001

−0.027

0.113

−0.194

0.114

−0.209

0.000

−0.000

0.000

−0.000

−0.067**

−0.031**

−0.019**

−0.886**

Express

0.206

−0.075

0.228

0.573*

−1.301**

−0.001

−0.004

−0.001

−0.018

0.075

−0.128

0.075

−0.138

0.000

−0.000

0.000

−0.000

−0.044*

−0.020*

−0.013*

−0.585

Periodicals

Within-County

−0.907**

0.332**

−1.000**

−0.138

−0.035

−0.102

−0.386

−0.163

0.503

−0.620**

1.062**

−0.623**

1.142**

−0.088

0.232

−0.094

0.090

0.085

0.039

0.024

−0.647

Nonprofit

−0.868**

0.317**

−0.957**

−0.132

−0.033

−0.096

−0.791**

0.029

0.716**

−0.593**

1.017**

−0.596**

1.093**

−0.085*

0.222*

−0.090*

0.086*

0.082

0.038

0.023

−0.619

Classroom

−0.423

0.155

−0.466

−0.064

−0.016

−0.569

0.212

−1.021**

1.309*

−0.289

0.495

−0.291

0.533

−0.041

0.108

−0.044

0.042

0.040

0.018

0.011

−0.302

Regular rate

−0.850**

0.311**

−0.938**

−0.130

−0.033

0.019

0.146**

0.034**

−0.338**

−0.581**

0.996**

−0.584**

1.071**

−0.083*

0.217*

−0.088*

0.084*

0.080

0.037

0.023

−0.606

Standard regular mail

Non-automated

0.327

−0.120

0.361

−0.255

−0.064

0.011**

0.055**

0.010**

0.271**

−1.160

−1.486

−0.820

0.224

−0.044

0.115

−0.046

0.045

0.091

0.042

0.026

−2.417

Automated

0.078

−0.028

0.086

−0.061

−0.015

0.003**

0.013**

0.002**

0.064**

−0.050

−0.855**

−0.043

0.178

−0.010

0.027

−0.011

0.011

0.022

0.010

0.006

−0.575

Car-Rte basic

0.204

−0.075

0.225

−0.160

−0.040

0.007**

0.034**

0.006**

0.169**

−0.312

−0.671

−1.764**

0.724

−0.027

0.072

−0.029

0.028

0.057

0.026

0.016

−1.509

Car-Rte HD&Sat

−0.024

0.009

−0.027

0.019

0.005

−0.001

−0.004

−0.001

−0.020

0.215

1.032

0.790**

−1.797**

0.003

−0.009

0.003

−0.003

−0.007

−0.003

−0.002

0.179

Standard nonprofit mail

Non-automated

−1.282**

0.469**

−1.414**

−0.024

−0.006

0.014*

0.068*

0.012*

0.334*

−0.372

0.638

−0.374

0.686

−2.580**

2.337**

−1.334**

0.662*

0.161

0.074

0.045

−1.886

Automated

−0.321**

0.117**

−0.354**

−0.006

−0.002

0.003*

0.017*

0.003*

0.084*

−0.093

0.160

−0.094

0.172

−0.243**

0.031

−0.399**

0.381**

0.040

0.019

0.011

−0.472

Car-Rte Basic

−1.203**

0.440**

−1.327**

−0.023

−0.006

0.013

0.064

0.012

0.314

−0.349

0.599

−0.351

0.644

−1.167**

1.138

−1.957**

1.128**

0.151

0.070

0.043

−1.770

Car-Rte HD&Sat

0.147

−0.054

0.162

0.003

0.001

−0.002

−0.008

−0.001

−0.038

0.043

−0.073

0.043

−0.079

−0.149

0.902

0.374

−1.021**

−0.018

−0.008

−0.005

0.216

Package services

Parcel Post

0.258

−0.094

0.284

−0.225**

−0.057**

0.002

0.012

0.002

0.060

−0.151

0.258

−0.152

0.278

−0.030

0.079

−0.032

0.031

−1.165**

−0.155**

−0.118**

−0.912*

Bound printed matter

0.052

−0.019

0.057

−0.045

−0.011

0.000

0.002

0.000

0.012

−0.030

0.052

−0.030

0.056

−0.006

0.016

−0.006

0.006

0.168

−0.246

−0.211

−0.183

Media & library

0.091

−0.033

0.100

−0.079

−0.020

0.001

0.004

0.001

0.021

−0.053

0.091

−0.053

0.098

−0.011

0.028

−0.011

0.011

−0.136

−0.345

−0.026

−0.321

  1. *Flags an estimate that is statistically significant at the 95% level, **Flags an estimate that is significant at the 99% level

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Bzhilyanskaya, L.Y., Cigno, M.M., Pearsall, E.S. (2015). A Branching AIDS Model for Estimating U.S. Postal Price Elasticities. In: Crew, M., Brennan, T. (eds) Postal and Delivery Innovation in the Digital Economy. Topics in Regulatory Economics and Policy, vol 50. Springer, Cham. https://doi.org/10.1007/978-3-319-12874-0_8

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