RATS (software) - Revision history

Mjaðveig: Version 10.1 (2023-10)

2024-01-15T12:38:01Z

Version 10.1 (2023-10)

← Previous revision		Revision as of 12:38, 15 January 2024
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	\|caption =		\|caption =
	\|developer = Estima		\|developer = Estima
	\|latest_release_version = 10.0		\|latest_release_version = 10.1
	\|latest_release_date = {{Start date and age\|~~2018~~\|11}}<ref>{{cite web		\|latest_release_date = {{Start date and age\|2023\|10}}<ref>{{cite web
	\|url = https://estima.com/newslett/~~Nov2018RATSLetter~~.pdf		\|url = https://estima.com/newslett/Oct2023RATSLetter.pdf
	\|title = The RATS letter Volume 30, No. 3		\|title = The RATS letter Volume 32, No. 1
	\|format = PDF		\|format = PDF
	\|access-date = ~~2021~~-03-17		\|access-date = 2024-01-15
	}}</ref>		}}</ref>
	\|operating_system = [[Cross-platform]]		\|operating_system = [[Cross-platform]]

MindRail: /* Comparison with other software */ Inappropriate section for Wikipedia standards with no referencing.

2021-09-06T07:24:22Z

Comparison with other software: Inappropriate section for Wikipedia standards with no referencing.

← Previous revision		Revision as of 07:24, 6 September 2021
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	Recent versions have added report-generation tools designed to facilitate accurate exporting of results for use in papers and other documents.		Recent versions have added report-generation tools designed to facilitate accurate exporting of results for use in papers and other documents.

	==Comparison with other software==
	{{main\|Comparison of statistical packages}}
	One advantage of the RATS program is that it is inexpensive, compared to larger programs such as [[SAS System\|SAS]]. RATS has many of the same capabilities as SAS in both time series analysis and other advanced statistical methods. The two programs differ more in the details than in capabilities. SAS has routines for automated State Space estimation. RATS can be programmed to estimate State Space models, or regression models with time-varying coefficients. In this respect, RATS is actually more flexible. Similarly, SAS has an entire routine for estimating and forecasting with Unobserved Components Models. In RATS, estimation of this type would require extensive programming. Nevertheless, in general, the capabilities of RATS are comparable to SAS/ETS and SAS/STAT, but at a much lower price. However, the lower price has its pitfalls. Certain programs are black box. The new update WinRATS 10.0 crashes. The support system doesn't work. It's a one man company!

	==See also==		==See also==

Wiking20: /* Comparison with other software */

2021-08-15T09:21:59Z

Comparison with other software

← Previous revision		Revision as of 09:21, 15 August 2021
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	==Comparison with other software==		==Comparison with other software==
	{{main\|Comparison of statistical packages}}		{{main\|Comparison of statistical packages}}
	One advantage of the RATS program is that it is inexpensive, compared to larger programs such as [[SAS System\|SAS]]. RATS has many of the same capabilities as SAS in both time series analysis and other advanced statistical methods. The two programs differ more in the details than in capabilities. SAS has routines for automated State Space estimation. RATS can be programmed to estimate State Space models, or regression models with time-varying coefficients. In this respect, RATS is actually more flexible. Similarly, SAS has an entire routine for estimating and forecasting with Unobserved Components Models. In RATS, estimation of this type would require extensive programming. Nevertheless, in general, the capabilities of RATS are comparable to SAS/ETS and SAS/STAT, but at a much lower price.		One advantage of the RATS program is that it is inexpensive, compared to larger programs such as [[SAS System\|SAS]]. RATS has many of the same capabilities as SAS in both time series analysis and other advanced statistical methods. The two programs differ more in the details than in capabilities. SAS has routines for automated State Space estimation. RATS can be programmed to estimate State Space models, or regression models with time-varying coefficients. In this respect, RATS is actually more flexible. Similarly, SAS has an entire routine for estimating and forecasting with Unobserved Components Models. In RATS, estimation of this type would require extensive programming. Nevertheless, in general, the capabilities of RATS are comparable to SAS/ETS and SAS/STAT, but at a much lower price. However, the lower price has its pitfalls. Certain programs are black box. The new update WinRATS 10.0 crashes. The support system doesn't work. It's a one man company!

	==See also==		==See also==

Rdp060707: Reverted edits by Wiking20 (talk) to last revision by AKiwiDeerPin: not providing a reliable source (WP:CITE, WP:RS)

2021-08-14T08:49:21Z

Reverted edits by Wiking20 (talk) to last revision by AKiwiDeerPin: not providing a reliable source (WP:CITE, WP:RS)

← Previous revision		Revision as of 08:49, 14 August 2021
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	==Comparison with other software==		==Comparison with other software==
	{{main\|Comparison of statistical packages}}		{{main\|Comparison of statistical packages}}
	One advantage of the RATS program is that it is inexpensive, compared to larger programs such as [[SAS System\|SAS]]. RATS has many of the same capabilities as SAS in both time series analysis and other advanced statistical methods. The two programs differ more in the details than in capabilities. SAS has routines for automated State Space estimation. RATS can be programmed to estimate State Space models, or regression models with time-varying coefficients. In this respect, RATS is actually more flexible. Similarly, SAS has an entire routine for estimating and forecasting with Unobserved Components Models. In RATS, estimation of this type would require extensive programming. Nevertheless, in general, the capabilities of RATS are comparable to SAS/ETS and SAS/STAT, but at a much lower price~~. However the lower price has its pitfalls. Some programs are blackbox. The new update WinRATS 10.0 crashes with certain programs. There is seldom any support. It's a one man company~~.		One advantage of the RATS program is that it is inexpensive, compared to larger programs such as [[SAS System\|SAS]]. RATS has many of the same capabilities as SAS in both time series analysis and other advanced statistical methods. The two programs differ more in the details than in capabilities. SAS has routines for automated State Space estimation. RATS can be programmed to estimate State Space models, or regression models with time-varying coefficients. In this respect, RATS is actually more flexible. Similarly, SAS has an entire routine for estimating and forecasting with Unobserved Components Models. In RATS, estimation of this type would require extensive programming. Nevertheless, in general, the capabilities of RATS are comparable to SAS/ETS and SAS/STAT, but at a much lower price.

	==See also==		==See also==

Wiking20: /* Comparison with other software */

2021-08-14T08:49:06Z

Comparison with other software

← Previous revision		Revision as of 08:49, 14 August 2021
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	==Comparison with other software==		==Comparison with other software==
	{{main\|Comparison of statistical packages}}		{{main\|Comparison of statistical packages}}
	One advantage of the RATS program is that it is inexpensive, compared to larger programs such as [[SAS System\|SAS]]. RATS has many of the same capabilities as SAS in both time series analysis and other advanced statistical methods. The two programs differ more in the details than in capabilities. SAS has routines for automated State Space estimation. RATS can be programmed to estimate State Space models, or regression models with time-varying coefficients. In this respect, RATS is actually more flexible. Similarly, SAS has an entire routine for estimating and forecasting with Unobserved Components Models. In RATS, estimation of this type would require extensive programming. Nevertheless, in general, the capabilities of RATS are comparable to SAS/ETS and SAS/STAT, but at a much lower price.		One advantage of the RATS program is that it is inexpensive, compared to larger programs such as [[SAS System\|SAS]]. RATS has many of the same capabilities as SAS in both time series analysis and other advanced statistical methods. The two programs differ more in the details than in capabilities. SAS has routines for automated State Space estimation. RATS can be programmed to estimate State Space models, or regression models with time-varying coefficients. In this respect, RATS is actually more flexible. Similarly, SAS has an entire routine for estimating and forecasting with Unobserved Components Models. In RATS, estimation of this type would require extensive programming. Nevertheless, in general, the capabilities of RATS are comparable to SAS/ETS and SAS/STAT, but at a much lower price. However the lower price has its pitfalls. Some programs are blackbox. The new update WinRATS 10.0 crashes with certain programs. There is seldom any support. It's a one man company.

	==See also==		==See also==

AKiwiDeerPin: Undid revision 1038555430 by 2A02:1205:C68A:7C00:FCAB:72F2:CA82:C3FA (talk)

2021-08-13T08:37:00Z

Undid revision 1038555430 by 2A02:1205:C68A:7C00:FCAB:72F2:CA82:C3FA (talk)

← Previous revision		Revision as of 08:37, 13 August 2021
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	==Comparison with other software==		==Comparison with other software==
	{{main\|Comparison of statistical packages}}		{{main\|Comparison of statistical packages}}
	One advantage of the RATS program is that it is inexpensive, compared to larger programs such as [[SAS System\|SAS]]. RATS has many of the same capabilities as SAS in both time series analysis and other advanced statistical methods. The two programs differ more in the details than in capabilities. SAS has routines for automated State Space estimation. RATS can be programmed to estimate State Space models, or regression models with time-varying coefficients. In this respect, RATS is actually more flexible. Similarly, SAS has an entire routine for estimating and forecasting with Unobserved Components Models. In RATS, estimation of this type would require extensive programming. Nevertheless, in general, the capabilities of RATS are comparable to SAS/ETS and SAS/STAT, but at a much lower price. However, the lower price has its pitfalls. There is almost no technical support available. The support department is pretty arrogant. The new update contains some bugs that won't even be corrected if you point them out! It's a one-man company.		One advantage of the RATS program is that it is inexpensive, compared to larger programs such as [[SAS System\|SAS]]. RATS has many of the same capabilities as SAS in both time series analysis and other advanced statistical methods. The two programs differ more in the details than in capabilities. SAS has routines for automated State Space estimation. RATS can be programmed to estimate State Space models, or regression models with time-varying coefficients. In this respect, RATS is actually more flexible. Similarly, SAS has an entire routine for estimating and forecasting with Unobserved Components Models. In RATS, estimation of this type would require extensive programming. Nevertheless, in general, the capabilities of RATS are comparable to SAS/ETS and SAS/STAT, but at a much lower price.

	==See also==		==See also==

2A02:1205:C68A:7C00:FCAB:72F2:CA82:C3FA: /* Comparison with other software */

2021-08-13T08:06:58Z

Comparison with other software

← Previous revision		Revision as of 08:06, 13 August 2021
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	==Comparison with other software==		==Comparison with other software==
	{{main\|Comparison of statistical packages}}		{{main\|Comparison of statistical packages}}
	One advantage of the RATS program is that it is inexpensive, compared to larger programs such as [[SAS System\|SAS]]. RATS has many of the same capabilities as SAS in both time series analysis and other advanced statistical methods. The two programs differ more in the details than in capabilities. SAS has routines for automated State Space estimation. RATS can be programmed to estimate State Space models, or regression models with time-varying coefficients. In this respect, RATS is actually more flexible. Similarly, SAS has an entire routine for estimating and forecasting with Unobserved Components Models. In RATS, estimation of this type would require extensive programming. Nevertheless, in general, the capabilities of RATS are comparable to SAS/ETS and SAS/STAT, but at a much lower price.		One advantage of the RATS program is that it is inexpensive, compared to larger programs such as [[SAS System\|SAS]]. RATS has many of the same capabilities as SAS in both time series analysis and other advanced statistical methods. The two programs differ more in the details than in capabilities. SAS has routines for automated State Space estimation. RATS can be programmed to estimate State Space models, or regression models with time-varying coefficients. In this respect, RATS is actually more flexible. Similarly, SAS has an entire routine for estimating and forecasting with Unobserved Components Models. In RATS, estimation of this type would require extensive programming. Nevertheless, in general, the capabilities of RATS are comparable to SAS/ETS and SAS/STAT, but at a much lower price. However, the lower price has its pitfalls. There is almost no technical support available. The support department is pretty arrogant. The new update contains some bugs that won't even be corrected if you point them out! It's a one-man company.

	==See also==		==See also==

NaTRenKO: Updating Infobox

2021-03-17T10:32:05Z

Updating Infobox

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	{{Infobox software\|		{{Infobox software
	name = RATS \|		\|name = RATS
	screenshot = \|		\|screenshot =
	caption = \|		\|caption =
	developer = Estima \|		\|developer = Estima
	latest_release_version = 8.0 \|		\|latest_release_version = 10.0
	latest_release_date = ~~2010~~ \|		\|latest_release_date = {{Start date and age\|2018\|11}}<ref>{{cite web
			\|url = https://estima.com/newslett/Nov2018RATSLetter.pdf
⚫	operating_system = [[Cross-platform]] \|
			\|title = The RATS letter Volume 30, No. 3
⚫	genre = [[Econometrics software]] \|
			\|format = PDF
⚫	license = [[Proprietary software\|Proprietary]] \|
			\|access-date = 2021-03-17
⚫	website = [https://estima.com/ratsmain.shtml RATS] \|
			}}</ref>
		⚫	\|operating_system = [[Cross-platform]]
		⚫	\|genre = [[Econometrics software]]
		⚫	\|license = [[Proprietary software\|Proprietary]]
		⚫	\|website = [https://estima.com/ratsmain.shtml RATS]
	}}		}}

Monkbot: Task 18 (cosmetic): eval 5 templates: del empty params (3×);

2020-12-13T21:26:06Z

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	==History==		==History==
	The forerunner of RATS was a [[FORTRAN]] program called SPECTRE, written by economist [[Christopher A. Sims]].<ref>{{cite book \|first=Charles G. \|last=Renfro \|title=Computational Econometrics: Its Impact on the Development of Quantitative Economics ~~\|location=~~ \|publisher=IOS Press \|year=2004 \|isbn=1-58603-426-X \|pages=36 \|url=https://books.google.com/books?id=CZg42jo02CEC&pg=PA36 }}</ref> SPECTRE was designed to overcome some limitations of existing software that affected Sims' research in the 1970s, by providing spectral analysis and also the ability to run long unrestricted distributed lags.<ref>{{cite journal \|first=Marius \|last=Ooms \|first2=Jurgen A. \|last2=Doornik \|title=Econometric software development: past, present and future \|journal=Statistica Neerlandica \|volume=60 \|issue=2 \|pages=206–224 \|year=2006 \|doi=10.1111/j.1467-9574.2006.00317.x }}</ref> The program was then expanded by [[Tom Doan]], then of the [[Federal Reserve Bank of Minneapolis]], who added [[Autoregressive integrated moving average\|ARIMA]] and [[Vector autoregression\|VAR]] capabilities and went on to found the consulting firm that owns and distributes RATS software. In its early incarnations, RATS was designed primarily for [[time series analysis]], but as it evolved, it acquired other capabilities. With the advent of personal computers in 1984, RATS went from being a specialty [[Mainframe computer\|mainframe]] program to an [[econometrics]] package sold to a much broader market.		The forerunner of RATS was a [[FORTRAN]] program called SPECTRE, written by economist [[Christopher A. Sims]].<ref>{{cite book \|first=Charles G. \|last=Renfro \|title=Computational Econometrics: Its Impact on the Development of Quantitative Economics \|publisher=IOS Press \|year=2004 \|isbn=1-58603-426-X \|pages=36 \|url=https://books.google.com/books?id=CZg42jo02CEC&pg=PA36 }}</ref> SPECTRE was designed to overcome some limitations of existing software that affected Sims' research in the 1970s, by providing spectral analysis and also the ability to run long unrestricted distributed lags.<ref>{{cite journal \|first=Marius \|last=Ooms \|first2=Jurgen A. \|last2=Doornik \|title=Econometric software development: past, present and future \|journal=Statistica Neerlandica \|volume=60 \|issue=2 \|pages=206–224 \|year=2006 \|doi=10.1111/j.1467-9574.2006.00317.x }}</ref> The program was then expanded by [[Tom Doan]], then of the [[Federal Reserve Bank of Minneapolis]], who added [[Autoregressive integrated moving average\|ARIMA]] and [[Vector autoregression\|VAR]] capabilities and went on to found the consulting firm that owns and distributes RATS software. In its early incarnations, RATS was designed primarily for [[time series analysis]], but as it evolved, it acquired other capabilities. With the advent of personal computers in 1984, RATS went from being a specialty [[Mainframe computer\|mainframe]] program to an [[econometrics]] package sold to a much broader market.

	==Features==		==Features==
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	==Further reading==		==Further reading==
	* {{cite book \|first=Chris \|last=Brooks \|title=RATS Handbook to Accompany Introductory Econometrics for Finance ~~\|location=~~ \|publisher=Cambridge University Press \|year=2008 \|isbn=978-0-521-89695-5 \|url=https://books.google.com/books?id=rQOGPHz4uMEC }}		* {{cite book \|first=Chris \|last=Brooks \|title=RATS Handbook to Accompany Introductory Econometrics for Finance \|publisher=Cambridge University Press \|year=2008 \|isbn=978-0-521-89695-5 \|url=https://books.google.com/books?id=rQOGPHz4uMEC }}
	* {{cite journal \|last=MacKie-Mason \|first=Jeffrey K. \|year=1992 \|title=Econometric Software: A User's View \|journal=[[Journal of Economic Perspectives]] \|volume=6 \|issue=4 \|pages=165–187 \|doi=10.1257/jep.6.4.165 \|doi-access=free }}		* {{cite journal \|last=MacKie-Mason \|first=Jeffrey K. \|year=1992 \|title=Econometric Software: A User's View \|journal=[[Journal of Economic Perspectives]] \|volume=6 \|issue=4 \|pages=165–187 \|doi=10.1257/jep.6.4.165 \|doi-access=free }}
	* {{cite book \|first=Walter \|last=Enders \|title=RATS Handbook for Econometric Time Series ~~\|location=~~ \|publisher=Wiley \|year=1996 \|isbn=0-471-14894-6 \|url=https://books.google.com/books?id=e_YYAQAAIAAJ }}		* {{cite book \|first=Walter \|last=Enders \|title=RATS Handbook for Econometric Time Series \|publisher=Wiley \|year=1996 \|isbn=0-471-14894-6 \|url=https://books.google.com/books?id=e_YYAQAAIAAJ }}

	==External links==		==External links==

OAbot: Open access bot: doi added to citation with #oabot.

2020-04-18T19:16:39Z

Open access bot: doi added to citation with #oabot.

← Previous revision		Revision as of 19:16, 18 April 2020
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	==Further reading==		==Further reading==
	* {{cite book \|first=Chris \|last=Brooks \|title=RATS Handbook to Accompany Introductory Econometrics for Finance \|location= \|publisher=Cambridge University Press \|year=2008 \|isbn=978-0-521-89695-5 \|url=https://books.google.com/books?id=rQOGPHz4uMEC }}		* {{cite book \|first=Chris \|last=Brooks \|title=RATS Handbook to Accompany Introductory Econometrics for Finance \|location= \|publisher=Cambridge University Press \|year=2008 \|isbn=978-0-521-89695-5 \|url=https://books.google.com/books?id=rQOGPHz4uMEC }}
	* {{cite journal \|last=MacKie-Mason \|first=Jeffrey K. \|year=1992 \|title=Econometric Software: A User's View \|journal=[[Journal of Economic Perspectives]] \|volume=6 \|issue=4 \|pages=165–187 \|doi=10.1257/jep.6.4.165 }}		* {{cite journal \|last=MacKie-Mason \|first=Jeffrey K. \|year=1992 \|title=Econometric Software: A User's View \|journal=[[Journal of Economic Perspectives]] \|volume=6 \|issue=4 \|pages=165–187 \|doi=10.1257/jep.6.4.165 \|doi-access=free }}
	* {{cite book \|first=Walter \|last=Enders \|title=RATS Handbook for Econometric Time Series \|location= \|publisher=Wiley \|year=1996 \|isbn=0-471-14894-6 \|url=https://books.google.com/books?id=e_YYAQAAIAAJ }}		* {{cite book \|first=Walter \|last=Enders \|title=RATS Handbook for Econometric Time Series \|location= \|publisher=Wiley \|year=1996 \|isbn=0-471-14894-6 \|url=https://books.google.com/books?id=e_YYAQAAIAAJ }}