Interdisciplinary, unpaid research opportunities are available. Various academic specialties
are required. If interested, email me at dr.freedom@hotmail.ca.
Econometric Military Production Function
By Oleg Nekrassovski
The present paper aims to show the mathematical details behind an example of an
econometric military production function, given in Hildebrandt (1999).
The measure of effectiveness of the interdiction campaign Commando Hunt V was determined
to be described by the following multivariable function (Hildebrandt, 1999):
Y = X1
1.31 X2
0.57 X3
0.33 X4
0.28 X5
-0.85 (I)
where
Y =IP-TP (reduction in throughput)
X1 = gunship team sorties
X2=fighter attack sorties against trucks and storage areas
X3=fighter attack sorties against the lines of communication
X4=fighter attack sorties in close air support role
X5 = southbound sensor-detected truck movements
If the dollarcostsare operationallyfixed,orthe persortie cost of each of the 3 fighter-attacksorties(X2,
X3, X4) is the same, then the reduction in throughput (Y) will be greatest when the marginal
productivities of the 3 fighter-attack sorties are equal (Hildebrandt, 1999).
In other words, when
MPX2 = MPX3 = MPX4,
which is the same as
𝜕Y
𝜕X2
=
𝜕Y
𝜕X3
=
∂Y
𝜕X4
(II)
Satisfying Eq.(II) using Eq.(I):
Y = X1
1.31 X2
0.57 X3
0.33 X4
0.28 X5
-0.85
𝜕Y
𝜕X2
= 0.57 X1
1.31 X2
-0.43 X3
0.33 X4
0.28 X5
-0.85
𝜕Y
𝜕X3
= 0.33 X1
1.31 X2
0.57 X3
-0.67 X4
0.28 X5
-0.85
Interdisciplinary, unpaid research opportunities are available. Various academic specialties
are required. If interested, email me at dr.freedom@hotmail.ca.
𝜕Y
𝜕X4
= 0.28 X1
1.31 X2
0.57 X3
0.33 X4
-0.72 X5
-0.85
𝜕Y
𝜕X2
=
𝜕Y
𝜕X3
0.57 X1
1.31 X2
-0.43 X3
0.33 X4
0.28 X5
-0.85 = 0.33 X1
1.31 X2
0.57 X3
-0.67 X4
0.28 X5
-0.85
0.57 X2
-0.43 X3
0.33 = 0.33 X2
0.57 X3
-0.67
0.57 X3
0.33/X3
-0.67 = 0.33 X2
0.57/X2
-0.43
0.57 X3 = 0.33 X2
57 X3 = 33 X2
𝜕Y
𝜕X3
=
∂Y
𝜕X4
0.33 X1
1.31 X2
0.57 X3
-0.67 X4
0.28 X5
-0.85 = 0.28 X1
1.31 X2
0.57 X3
0.33 X4
-0.72 X5
-0.85
0.33 X3
-0.67 X4
0.28 = 0.28 X3
0.33 X4
-0.72
0.33 X4
0.28/X4
-0.72 = 0.28 X3
0.33/X3
-0.67
0.33 X4 = 0.28 X3
33 X4 = 28 X3
𝜕Y
𝜕X2
=
∂Y
𝜕X4
0.57 X1
1.31 X2
-0.43 X3
0.33 X4
0.28 X5
-0.85 = 0.28 X1
1.31 X2
0.57 X3
0.33 X4
-0.72 X5
-0.85
0.57 X2
-0.43 X4
0.28 = 0.28 X2
0.57 X4
-0.72
0.57 X4
0.28/ X4
-0.72 = 0.28 X2
0.57/ X2
-0.43
0.57 X4 = 0.28 X2
Interdisciplinary, unpaid research opportunities are available. Various academic specialties
are required. If interested, email me at dr.freedom@hotmail.ca.
57 X4 = 28 X2
In order to express, the determined proportions of the three types of fighter-attack sorties, as
percentages of the total number of fighter-attack sorties, so as to make them more useful, let
X2 + X3 + X4 = 1 = 100%. Then,
X2 = 57/28 X4 and X3 = 33/28 X4
57/28 X4 + 33/28 X4 + X4 = 1
118/28 X4 = 1
X4 = 28/118 = 0.237 = 23.7%
X3 = 33/57 X2 and X4 = 28/57 X2
X2 + 33/57 X2 + 28/57 X2 = 1
118/57 X2 = 1
X2 = 57/118 = 0.483 = 48.3%
X2 = 57/33 X3 and X4 = 28/33 X3
57/33 X3 + X3 + 28/33 X3 = 1
118/33 X3 = 1
X3 = 33/118 = 0.280 = 28.0%
Hence, the optimal allocation of the three types of fighter-attack sorties, according to each
type, is:
Fighter-Attack Sorties Type Optimal Sorties Flown (%)
X2 48.3
X3 28.0
X4 23.7
Interdisciplinary, unpaid research opportunities are available. Various academic specialties
are required. If interested, email me at dr.freedom@hotmail.ca.
When fighter- attack sorties are allocated according to these percentages, the function that
describes the reduction in throughput (Eq. (I)) can be simplified as follows:
Let XF = X2 + X3 + X4. If the fighter-attack sorties are allocated optimally, then
X2 = 0.483 XF
X3 = 0.28 XF
X4 = 0.237 XF.
So,
X2
0.57 X3
0.33 X4
0.28 = (0.483 XF)0.57 (0.28 XF)0.33 (0.237 XF)0.28
= (0.483)0.57 (0.28)0.33 (0.237)0.28 XF
0.57+0.33+0.28
= 0.29 XF
1.18
Hence,
Y = 0.29 X1
1.31 XF
1.18 X5
-0.85 (III)
Holding X5 constant at the average weekly level, Eq. (III) can be used to construct two-
dimensional isoquants. By specifying a value for the reduction in throughput (Y = IP-TP), the
isoquants can be easily traced by varying the values of X1 and XF (Hildebrandt, 1999).
References
Hildebrandt, G. G. (1999). “The military production function.” Defence and Peace Economics,
10, 247-272.

More Related Content

PPT
Calc 5.8a
PDF
08lowess
PPTX
2.3 slopes and difference quotient t
PPTX
Application of derivatives
PPTX
DESIGN OF SHORT COLUMN WITH AXIAL LOAD & BIAXIAL MOMENT
PDF
Quantum Cryptography
PDF
Statistics for Economics Midterm 2 Cheat Sheet
PPT
Basic econometrics lectues_1
Calc 5.8a
08lowess
2.3 slopes and difference quotient t
Application of derivatives
DESIGN OF SHORT COLUMN WITH AXIAL LOAD & BIAXIAL MOMENT
Quantum Cryptography
Statistics for Economics Midterm 2 Cheat Sheet
Basic econometrics lectues_1

Similar to Econometric Military Production Function (18)

PPTX
5 random variables
PPT
Expectation of Discrete Random Variable.ppt
PPTX
Probability distribution for Dummies
PPTX
Lesson5 chapterfive Random Variable.pptx
PPT
Probability distribution 2
PDF
IJSRED-V2I5P56
PDF
Moment-Generating Functions and Reproductive Properties of Distributions
PPT
Marketing management planning on it is a
PPTX
Discussion about random variable ad its characterization
PDF
The Multivariate Gaussian Probability Distribution
PPTX
DISCRETE PROBABILITY DISTRIBUTION IB AI HL
PDF
On the Family of Concept Forming Operators in Polyadic FCA
PDF
Calculus B Notes (Notre Dame)
PDF
Problem_Session_Notes
PDF
Lecture 3 - Linear Regression
PPT
Chapter 3 – Random Variables and Probability Distributions
PPT
Fin500J_topic10_Probability_2010_0000000
DOCX
Digital textbook -EXPONENTS AND POWERS
5 random variables
Expectation of Discrete Random Variable.ppt
Probability distribution for Dummies
Lesson5 chapterfive Random Variable.pptx
Probability distribution 2
IJSRED-V2I5P56
Moment-Generating Functions and Reproductive Properties of Distributions
Marketing management planning on it is a
Discussion about random variable ad its characterization
The Multivariate Gaussian Probability Distribution
DISCRETE PROBABILITY DISTRIBUTION IB AI HL
On the Family of Concept Forming Operators in Polyadic FCA
Calculus B Notes (Notre Dame)
Problem_Session_Notes
Lecture 3 - Linear Regression
Chapter 3 – Random Variables and Probability Distributions
Fin500J_topic10_Probability_2010_0000000
Digital textbook -EXPONENTS AND POWERS
Ad

More from Oleg Nekrassovski (20)

PDF
Psychopathy - Brief Overview of Its Behavioral, Experimental, and Neural Aspects
PDF
Psychopathy and Leadership
PDF
Californian vs. Federal Marijuana Laws, and Healthcare
PDF
Details and Implementation Plan of a Code of Ethics for a Proposed Lunar Colony
PDF
The Politics of Gender, Sexual Orientation, and the Canadian Forces, between ...
PDF
Learning, Insight, and Innovation in Animals in the Context of Evolution
PDF
Corporate Psychopaths: The Good, the Evil, and Organizational Differences
PDF
Transformational Leadership, Servant Leadership, and Psychological Needs
PDF
Leadership and Organizational Function
PDF
Review of Andrew J. Bacevich's The New American Militarism - How Americans ar...
PDF
Review of 2 Journal Articles on Psychological Factors Influencing Capital Pun...
PDF
Premenstrual Syndrome (PMS)
PDF
NASA and the Space Shuttle Program
PDF
NASA - The Quest for the Moon
PDF
Canada, and the US Ballistic Missile Defence Program
PDF
Barriers to International Cooperation
PDF
Separatism in Quebec
PDF
Food Subsidies and Canada
PDF
Canada’s Commitment to Tolerance, Democracy, and the Rule of Law
PDF
Transnational Terrorism vs Local Terrorism
Psychopathy - Brief Overview of Its Behavioral, Experimental, and Neural Aspects
Psychopathy and Leadership
Californian vs. Federal Marijuana Laws, and Healthcare
Details and Implementation Plan of a Code of Ethics for a Proposed Lunar Colony
The Politics of Gender, Sexual Orientation, and the Canadian Forces, between ...
Learning, Insight, and Innovation in Animals in the Context of Evolution
Corporate Psychopaths: The Good, the Evil, and Organizational Differences
Transformational Leadership, Servant Leadership, and Psychological Needs
Leadership and Organizational Function
Review of Andrew J. Bacevich's The New American Militarism - How Americans ar...
Review of 2 Journal Articles on Psychological Factors Influencing Capital Pun...
Premenstrual Syndrome (PMS)
NASA and the Space Shuttle Program
NASA - The Quest for the Moon
Canada, and the US Ballistic Missile Defence Program
Barriers to International Cooperation
Separatism in Quebec
Food Subsidies and Canada
Canada’s Commitment to Tolerance, Democracy, and the Rule of Law
Transnational Terrorism vs Local Terrorism
Ad

Econometric Military Production Function

  • 1. Interdisciplinary, unpaid research opportunities are available. Various academic specialties are required. If interested, email me at dr.freedom@hotmail.ca. Econometric Military Production Function By Oleg Nekrassovski The present paper aims to show the mathematical details behind an example of an econometric military production function, given in Hildebrandt (1999). The measure of effectiveness of the interdiction campaign Commando Hunt V was determined to be described by the following multivariable function (Hildebrandt, 1999): Y = X1 1.31 X2 0.57 X3 0.33 X4 0.28 X5 -0.85 (I) where Y =IP-TP (reduction in throughput) X1 = gunship team sorties X2=fighter attack sorties against trucks and storage areas X3=fighter attack sorties against the lines of communication X4=fighter attack sorties in close air support role X5 = southbound sensor-detected truck movements If the dollarcostsare operationallyfixed,orthe persortie cost of each of the 3 fighter-attacksorties(X2, X3, X4) is the same, then the reduction in throughput (Y) will be greatest when the marginal productivities of the 3 fighter-attack sorties are equal (Hildebrandt, 1999). In other words, when MPX2 = MPX3 = MPX4, which is the same as 𝜕Y 𝜕X2 = 𝜕Y 𝜕X3 = ∂Y 𝜕X4 (II) Satisfying Eq.(II) using Eq.(I): Y = X1 1.31 X2 0.57 X3 0.33 X4 0.28 X5 -0.85 𝜕Y 𝜕X2 = 0.57 X1 1.31 X2 -0.43 X3 0.33 X4 0.28 X5 -0.85 𝜕Y 𝜕X3 = 0.33 X1 1.31 X2 0.57 X3 -0.67 X4 0.28 X5 -0.85
  • 2. Interdisciplinary, unpaid research opportunities are available. Various academic specialties are required. If interested, email me at dr.freedom@hotmail.ca. 𝜕Y 𝜕X4 = 0.28 X1 1.31 X2 0.57 X3 0.33 X4 -0.72 X5 -0.85 𝜕Y 𝜕X2 = 𝜕Y 𝜕X3 0.57 X1 1.31 X2 -0.43 X3 0.33 X4 0.28 X5 -0.85 = 0.33 X1 1.31 X2 0.57 X3 -0.67 X4 0.28 X5 -0.85 0.57 X2 -0.43 X3 0.33 = 0.33 X2 0.57 X3 -0.67 0.57 X3 0.33/X3 -0.67 = 0.33 X2 0.57/X2 -0.43 0.57 X3 = 0.33 X2 57 X3 = 33 X2 𝜕Y 𝜕X3 = ∂Y 𝜕X4 0.33 X1 1.31 X2 0.57 X3 -0.67 X4 0.28 X5 -0.85 = 0.28 X1 1.31 X2 0.57 X3 0.33 X4 -0.72 X5 -0.85 0.33 X3 -0.67 X4 0.28 = 0.28 X3 0.33 X4 -0.72 0.33 X4 0.28/X4 -0.72 = 0.28 X3 0.33/X3 -0.67 0.33 X4 = 0.28 X3 33 X4 = 28 X3 𝜕Y 𝜕X2 = ∂Y 𝜕X4 0.57 X1 1.31 X2 -0.43 X3 0.33 X4 0.28 X5 -0.85 = 0.28 X1 1.31 X2 0.57 X3 0.33 X4 -0.72 X5 -0.85 0.57 X2 -0.43 X4 0.28 = 0.28 X2 0.57 X4 -0.72 0.57 X4 0.28/ X4 -0.72 = 0.28 X2 0.57/ X2 -0.43 0.57 X4 = 0.28 X2
  • 3. Interdisciplinary, unpaid research opportunities are available. Various academic specialties are required. If interested, email me at dr.freedom@hotmail.ca. 57 X4 = 28 X2 In order to express, the determined proportions of the three types of fighter-attack sorties, as percentages of the total number of fighter-attack sorties, so as to make them more useful, let X2 + X3 + X4 = 1 = 100%. Then, X2 = 57/28 X4 and X3 = 33/28 X4 57/28 X4 + 33/28 X4 + X4 = 1 118/28 X4 = 1 X4 = 28/118 = 0.237 = 23.7% X3 = 33/57 X2 and X4 = 28/57 X2 X2 + 33/57 X2 + 28/57 X2 = 1 118/57 X2 = 1 X2 = 57/118 = 0.483 = 48.3% X2 = 57/33 X3 and X4 = 28/33 X3 57/33 X3 + X3 + 28/33 X3 = 1 118/33 X3 = 1 X3 = 33/118 = 0.280 = 28.0% Hence, the optimal allocation of the three types of fighter-attack sorties, according to each type, is: Fighter-Attack Sorties Type Optimal Sorties Flown (%) X2 48.3 X3 28.0 X4 23.7
  • 4. Interdisciplinary, unpaid research opportunities are available. Various academic specialties are required. If interested, email me at dr.freedom@hotmail.ca. When fighter- attack sorties are allocated according to these percentages, the function that describes the reduction in throughput (Eq. (I)) can be simplified as follows: Let XF = X2 + X3 + X4. If the fighter-attack sorties are allocated optimally, then X2 = 0.483 XF X3 = 0.28 XF X4 = 0.237 XF. So, X2 0.57 X3 0.33 X4 0.28 = (0.483 XF)0.57 (0.28 XF)0.33 (0.237 XF)0.28 = (0.483)0.57 (0.28)0.33 (0.237)0.28 XF 0.57+0.33+0.28 = 0.29 XF 1.18 Hence, Y = 0.29 X1 1.31 XF 1.18 X5 -0.85 (III) Holding X5 constant at the average weekly level, Eq. (III) can be used to construct two- dimensional isoquants. By specifying a value for the reduction in throughput (Y = IP-TP), the isoquants can be easily traced by varying the values of X1 and XF (Hildebrandt, 1999). References Hildebrandt, G. G. (1999). “The military production function.” Defence and Peace Economics, 10, 247-272.