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Dickey–Fuller test
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71	Convergence of prices and rates of in‡ation Fabio Busetti, Silvia Fabianiy, Andrew Harveyz May 18, 2006 Abstract We consider how unit root and stationarity tests can be used to study Add to Reading List Source URL: plagiarism.repec.org Language: English - Date: 2012-05-28 09:15:15 Hypothesis testing Econometrics Design of experiments Stationary process Unit root Statistical hypothesis testing Augmented Dickey–Fuller test Dickey–Fuller test F-test Statistics Statistical tests Time series analysis
72	Explosive bubbles in house prices? Evidence from the OECD countries Tom Engsted, Simon J. Hviid and Thomas Q. Pedersen CREATES Research PaperDepartment of Economics and Business Add to Reading List Source URL: econ.au.dk Language: English - Date: 2015-01-14 06:51:23 Economic bubbles Statistical tests Financial crises Econometrics Real estate bubble Bubble Augmented Dickey–Fuller test Unit root Dickey–Fuller test Statistics Economics Time series analysis
73	Testing for Multiple Bubbles: Historical Episodes of Exuberance and Collapse in the S&P 500∗ Peter C. B. Phillips Yale University, University of Auckland, University of Southampton & Singapore Management University Shu Add to Reading List Source URL: www.econ.cuhk.edu.hk Language: English - Date: 2015-01-12 00:05:01 Statistical tests Economic bubbles Behavioral finance Augmented Dickey–Fuller test Bubble Stock market bubble Financial crisis Structural break Unit root test Economics Time series analysis Statistics
74	R functions for time series analysis by Vito Ricci () RR FUNCTIONS FOR TIME SERIES ANALYSIS Here are some helpful R functions for time series analysis. They belong from stats, tseries, Add to Reading List Source URL: ftp.acc.umu.se Language: English - Date: 2004-11-29 04:09:50 Econometrics Covariance and correlation Noise Augmented Dickey–Fuller test Autoregressive integrated moving average Autoregressive conditional heteroskedasticity Partial autocorrelation function Time series Jarque–Bera test Statistics Time series analysis Statistical tests
75	R functions for time series analysis by Vito Ricci () RR FUNCTIONS FOR TIME SERIES ANALYSIS Here are some helpful R functions for time series analysis. They belong from stats, tseries, Add to Reading List Source URL: ftp.yz.yamagata-u.ac.jp Language: English - Date: 2004-11-29 04:09:50 Econometrics Covariance and correlation Noise Augmented Dickey–Fuller test Autoregressive integrated moving average Autoregressive conditional heteroskedasticity Partial autocorrelation function Time series Jarque–Bera test Statistics Time series analysis Statistical tests
76	Journal of Econometrics–24 www.elsevier.com/locate/econbase Unit root tests in panel data: asymptotic and "nite-sample properties Andrew Levina , Chien-Fu Linb , Chia-Shang James Chub; ∗ Add to Reading List Source URL: homepage.ntu.edu.tw Language: English - Date: 2006-07-14 23:15:01 Statistical tests Parametric statistics Statistical methods T-statistic Unit root Dickey–Fuller test Autoregressive conditional heteroskedasticity Panel data Panel analysis Statistics Time series analysis Econometrics
77	R functions for time series analysis by Vito Ricci () RR FUNCTIONS FOR TIME SERIES ANALYSIS Here are some helpful R functions for time series analysis. They belong from stats, tseries, Add to Reading List Source URL: ftp.eenet.ee Language: English - Date: 2004-11-29 04:09:50 Econometrics Covariance and correlation Noise Augmented Dickey–Fuller test Autoregressive integrated moving average Autoregressive conditional heteroskedasticity Partial autocorrelation function Time series Jarque–Bera test Statistics Time series analysis Statistical tests
78	NEW GENERATION ELECTRIC AND ELECTRONIC LOCKING NEW GENERATION ELECTRIC AND ELECTRONIC LOCKING PRODUCT INFORMATION HIGH SECURITY FULLY MONITORED ELECTRIC DOOR STRIKE Add to Reading List Source URL: www.flamestop.com.au Language: English - Date: 2014-02-11 00:27:07 Econometrics Covariance and correlation Noise Augmented Dickey–Fuller test Autoregressive integrated moving average Autoregressive conditional heteroskedasticity Partial autocorrelation function Time series Jarque–Bera test Statistics Time series analysis Statistical tests
79	R functions for time series analysis by Vito Ricci () RR FUNCTIONS FOR TIME SERIES ANALYSIS Here are some helpful R functions for time series analysis. They belong from stats, tseries, Add to Reading List Source URL: ftp.heanet.ie Language: English - Date: 2004-11-29 04:09:50 Econometrics Covariance and correlation Noise Augmented Dickey–Fuller test Autoregressive integrated moving average Autoregressive conditional heteroskedasticity Partial autocorrelation function Time series Jarque–Bera test Statistics Time series analysis Statistical tests
80	R functions for time series analysis by Vito Ricci () RR FUNCTIONS FOR TIME SERIES ANALYSIS Here are some helpful R functions for time series analysis. They belong from stats, tseries, Add to Reading List Source URL: mirror.mdx.ac.uk Language: English - Date: 2004-11-29 04:09:50 Econometrics Covariance and correlation Noise Augmented Dickey–Fuller test Autoregressive integrated moving average Autoregressive conditional heteroskedasticity Partial autocorrelation function Time series Jarque–Bera test Statistics Time series analysis Statistical tests

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