Open main menu
Home
Random
Recent changes
Special pages
Community portal
Preferences
About Wikipedia
Disclaimers
Incubator escapee wiki
Search
User menu
Talk
Dark mode
Contributions
Create account
Log in
Editing
Observational equivalence
(section)
Warning:
You are not logged in. Your IP address will be publicly visible if you make any edits. If you
log in
or
create an account
, your edits will be attributed to your username, along with other benefits.
Anti-spam check. Do
not
fill this in!
{{Short description|Semantic property}} {{Unfocused|date=October 2024}} '''Observational equivalence''' is the property of two or more underlying entities being indistinguishable on the basis of their [[observable]] implications. Thus, for example, two [[scientific theory|scientific theories]] are observationally equivalent if all of their [[empirical]]ly [[testable]] predictions are identical, in which case empirical evidence cannot be used to distinguish which is closer to being correct; indeed, it may be that they are actually two different perspectives on one underlying theory. In [[econometrics]], two parameter values (or two ''structures,'' from among a class of statistical models) are considered observationally equivalent if they both result in the same [[probability distribution]] of observable data.<ref name="palgrave">{{cite encyclopedia |last1=Dufour |first1=Jean-Marie |last2=Hsiao |first2=Cheng |editor1-last=Durlauf |editor1-first=Steven N. |editor2-last=Blume |editor2-first=Lawrence E. |title=Identification |encyclopedia=The New Palgrave Dictionary of Economics |edition=Second |year=2008 |url=http://www.dictionaryofeconomics.com/article?id=pde2008_I000004}}</ref><ref name="nber">{{cite web |last=Stock |first=James H. |publisher=National Bureau of Economic Research |date=July 14, 2008 |title=Weak Instruments, Weak Identification, and Many Instruments, Part I |url=http://www.nber.org/WNE/slides7-14-08/Lecture3.pdf}}</ref><ref name="koopmans">{{cite journal |last=Koopmans |first=Tjalling C. |title=Identification problems in economic model construction |journal=Econometrica |volume=17 |issue=2 |year=1949 |pages=125β144 | doi=10.2307/1905689 |jstor=1905689 }}</ref> This term often arises in relation to the [[Parameter identification problem|identification problem]]. In [[macroeconomics]], it happens when you have multiple structural models, with different interpretation, but indistinguishable empirically. "the mapping between structural parameters and the objective function may not display a unique minimum."<ref name="science direct">{{cite journal |last1=Canova |first1=Fabio |last2=Sala |first2=Luca |journal=Journal of Monetary Economics |date=May 2009|title=Back to square one: Identification issues in DSGE models |volume=56 |issue=4 |pages=431β449 |doi=10.1016/j.jmoneco.2009.03.014 |url=https://www.sciencedirect.com/science/article/abs/pii/S0304393209000439|hdl=10230/308 |hdl-access=free }}</ref> In the [[formal semantics of programming languages]], two [[term (logic)|term]]s ''M'' and ''N'' are observationally equivalent if and only if, in all contexts ''C''[...] where ''C''[''M''] is a valid term, it is the case that ''C''[''N''] is also a valid term with the same value. Thus it is not possible, within the system, to distinguish between the two terms. This definition can be made precise only with respect to a particular calculus, one that comes with its own specific definitions of ''term'', ''context'', and the ''value of a term''. The notion is due to [[James H. Morris]],<ref>{{cite arXiv |title=Local Reasoning for Robust Observational Equivalence|first1=Dan R.|last1=Ghica|first2=Koko|last2=Muroya|first3=Todd Waugh|last3=Ambridge|year=2019 |page=2|class=cs.PL |eprint=1907.01257 }}</ref> who called it "extensional equivalence."<ref>{{cite thesis|url=https://dspace.mit.edu/handle/1721.1/64850|title=Programming languages and lambda calculus|first=James|last=Morris|publisher=Massachusetts Institute of Technology|date=1969|pages=49β53|hdl=1721.1/64850 }}</ref>
Edit summary
(Briefly describe your changes)
By publishing changes, you agree to the
Terms of Use
, and you irrevocably agree to release your contribution under the
CC BY-SA 4.0 License
and the
GFDL
. You agree that a hyperlink or URL is sufficient attribution under the Creative Commons license.
Cancel
Editing help
(opens in new window)