<p>They use all types of methods. </p>

<p>Often, papers will use a very basic linear regression model and submit to a low prestige journal so one can justify ones grant and boost the H index as much as possible when meta analyses cite your article to clean up the mess.</p>

<p>It's up to the meta analysis to take into account that not all models have correct methodology and create a meta-analytical model to correct for all these inaccuracies. </p>

<p>Fortunately, there are sometimes dynamic lag models and the like to compare to and guess at an appropriate correction term for the others. </p>

<p>Here is an example for gas prices.</p>

<p><a href="https://www.google.com/url?sa=t&amp;source=web&amp;rct=j&amp;url=http://papers.tinbergen.nl/06106.pdf&amp;ved=0ahUKEwia2Me-85LLAhUUzmMKHWvjAd0QFgghMAE&amp;usg=AFQjCNHi6RH_xX7h9NLPcVRCFAMP0OtERQ&amp;sig2=3ChFSPGwukN_WC4IlhitGA" rel="nofollow">https://www.google.com/url?sa=t&amp;source=web&amp;rct=j&amp;url=http://papers.tinbergen.nl/06106.pdf&amp;ved=0ahUKEwia2Me-85LLAhUUzmMKHWvjAd0QFgghMAE&amp;usg=AFQjCNHi6RH_xX7h9NLPcVRCFAMP0OtERQ&amp;sig2=3ChFSPGwukN_WC4IlhitGA</a></p>

<p>Edit: A meta analytic model is a model to explain why studies obtained the results that they did. Different samples, methodologies, and so forth will produce different results, and a metamodel expresses this formally.</p>

<p>A dynamic lag model (also called a distributed lag model) is a model to predict the current value of a dependent variable based on past values of independent variables. For example, if a change in price causes a change in demand, you can model this by correlating price at time t-1 to demand at time t.</p>

CC BY-SA 3.0
2016-02-28T03:44:22.403Z
Can you please elaborate on what is 1) Meta-analytic model and 2) dynamic lag model for calculating price elasticity and cross-price elasticity?
StatguyUser
CC BY-SA 3.0
2016-03-13T10:08:44.937Z
Thanks! I was waiting for your comment and thought i will get notification someday. Didn't knew that you have already mentioned your answer by editing the post. I will mark this as complete now. Thanks for your help!! :-)
StatguyUser
CC BY-SA 3.0
2016-02-25T12:27:45.387Z
2016-02-28T03:53:37.387Z
2016-02-28T03:53:37.387Z
D J Sims
<p>Since we need to consider 'Endogeneity' between price and quantity while calculating price elasticity and since linear regression cannot handle the phenomenon of endogeneity if objective of the model is to find causality, instrumental variable regression is used. </p>

<p>Since theory backs the idea of using IV regression, does this happens in real world? I mean corporations and governments use IV regression for price elasticity or do they use linear regression despite it's shortcomings in it's inablity to handle endogeneity?</p>

CC BY-SA 3.0
2016-02-24T12:06:48.057Z
I'm voting to close this question as off-topic because it has been cross-posted to another SE site: http://stats.stackexchange.com/questions/197838/instrumental-variables-regression-vs-linear-regression-for-price-elasticity. Cross-posting is generally discouraged within the Stack Exchange network.
Ubiquitous
<elasticity><applied-econometrics><regression><instrumental-variable>
Which regression technique is used for calculating price elasticity in practice
StatguyUser
# Which regression technique is used for calculating price elasticity in practice

(Asked by: username_0 on 2016-02-22)

Since we need to consider 'Endogeneity' between price and quantity while calculating price elasticity and since linear regression cannot handle the phenomenon of endogeneity if objective of the model is to find causality, instrumental variable regression is used.

Since theory backs the idea of using IV regression, does this happens in real world? I mean corporations and governments use IV regression for price elasticity or do they use linear regression despite it's shortcomings in it's inablity to handle endogeneity?

**Tags:** elasticity, applied-econometrics, regression, instrumental-variable

> **Comments:**
> **username_1**: I'm voting to close this question as off-topic because it has been cross-posted to another SE site: http://stats.stackexchange.com/questions/197838/instrumental-variables-regression-vs-linear-regression-for-price-elasticity. Cross-posting is generally discouraged within the Stack Exchange network.  

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## 1 answers

### Answer by username_2 on 2016-02-25. Score: 1 | Accepted answer

They use all types of methods.

Often, papers will use a very basic linear regression model and submit to a low prestige journal so one can justify ones grant and boost the H index as much as possible when meta analyses cite your article to clean up the mess.

It's up to the meta analysis to take into account that not all models have correct methodology and create a meta-analytical model to correct for all these inaccuracies.

Fortunately, there are sometimes dynamic lag models and the like to compare to and guess at an appropriate correction term for the others.

Here is an example for gas prices.

<https://www.google.com/url?sa=t&source=web&rct=j&url=http://papers.tinbergen.nl/06106.pdf&ved=0ahUKEwia2Me-85LLAhUUzmMKHWvjAd0QFgghMAE&usg=AFQjCNHi6RH_xX7h9NLPcVRCFAMP0OtERQ&sig2=3ChFSPGwukN_WC4IlhitGA>

Edit: A meta analytic model is a model to explain why studies obtained the results that they did. Different samples, methodologies, and so forth will produce different results, and a metamodel expresses this formally.

A dynamic lag model (also called a distributed lag model) is a model to predict the current value of a dependent variable based on past values of independent variables. For example, if a change in price causes a change in demand, you can model this by correlating price at time t-1 to demand at time t.

> **Comments:**
> **username_0**: Can you please elaborate on what is 1) Meta-analytic model and 2) dynamic lag model for calculating price elasticity and cross-price elasticity?  
> **username_0**: Thanks! I was waiting for your comment and thought i will get notification someday. Didn't knew that you have already mentioned your answer by editing the post. I will mark this as complete now. Thanks for your help!! :-)  

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