LEADER 04385nam 2200517 450 001 9910821021303321 005 20230807211416.0 010 $a80-246-3198-9 035 $a(CKB)3710000000588351 035 $a(EBL)4395935 035 $a(MiAaPQ)EBC4395935 035 $a(Au-PeEL)EBL4395935 035 $a(CaPaEBR)ebr11168593 035 $a(OCoLC)945609753 035 $a(EXLCZ)993710000000588351 100 $a20160615h20152015 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aElements of time series econometrics $ean applied approach /$fEvzen Kosenda, Alexandr Cerny? 205 $aThird edition. 210 1$a[Prague, Czech Republic] :$cKarolinum Press,$d2015. 210 4$dİ2015 215 $a1 online resource (220 p.) 300 $aDescription based upon print version of record. 311 $a80-246-3199-7 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $aCover; CONTENTS; INTRODUCTION; 1. THE NATURE OF TIME SERIES; 1.1 DESCRIPTION OF TIME SERIES; 1.2 WHITE NOISE; 1.3 STATIONARITY; 1.4 TRANSFORMATIONS OF TIME SERIES; 1.5 TREND, SEASONAL, AND IRREGULAR PATTERNS; 1.6 ARMA MODELS OF TIME SERIES; 1.7 STYLIZED FACTS ABOUT TIME SERIES; 2. DIFFERENCE EQUATIONS; 2.1 LINEAR DIFFERENCE EQUATIONS; 2.2 LAG OPERATOR; 2.3 THE SOLUTION OF DIFFERENCE EQUATIONS; 2.3.1 PARTICULAR SOLUTION AND LAG OPERATORS; 2.3.2 SOLUTION BY ITERATION; 2.3.3 HOMOGENOUS SOLUTION; 2.3.4 PARTICULAR SOLUTION; 2.4 STABILITY CONDITIONS; 2.5 STABILITY AND STATIONARITY 327 $a3. UNIVARIATE TIME SERIES3.1 ESTIMATION OF AN ARMA MODEL; 3.1.1 AUTOCORRELATION FUNCTION - ACF; 3.1.2 PARTIAL AUTOCORRELATION FUNCTION - PACF; 3.1.3 Q-TESTS; 3.1.4 DIAGNOSTICS OF RESIDUALS; 3.1.5 INFORMATION CRITERIA; 3.1.6 BOX-JENKINS METHODOLOGY; 3.2 TREND IN TIME SERIES; 3.2.1 DETERMINISTIC TREND; 3.2.2 STOCHASTIC TREND; 3.2.3 STOCHASTIC PLUS DETERMINISTIC TREND; 3.2.4 ADDITIONAL NOTES ON TRENDS IN TIME SERIES; 3.3 SEASONALITY IN TIME SERIES; 3.3.1 REMOVING SEASONAL PATTERNS; 3.3.2 ESTIMATING SEASONAL PATTERNS; 3.3.3 DETECTING SEASONAL PATTERNS; 3.3.4 HODRICK-PRESCOTT FILTER 327 $a3.4 UNIT ROOTS3.4.1 DICKEY-FULLER TEST; 3.4.2 AUGMENTED DICKEY-FULLER TEST; 3.4.3 PHILLIPS-PERRON TEST; 3.4.4 SHORTCOMINGS OF THE STANDARD UNIT ROOT TESTS; 3.4.5 KPSS TEST; 3.5 UNIT ROOTS AND STRUCTURAL CHANGE; 3.5.1 PERRON'S TEST; 3.5.2 ZIVOT AND ANDREWS' TEST; 3.6 DETECTING A STRUCTURAL CHANGE; 3.6.1 SINGLE STRUCTURAL CHANGE; 3.6.2 MULTIPLE STRUCTURAL CHANGE; 3.7 NON-LINEAR STRUCTURE AND CONDITIONAL HETEROSKEDASTICITY; 3.7.1 CONDITIONAL AND UNCONDITIONAL EXPECTATIONS; 3.7.2 ARCH MODEL; 3.7.3 GARCH MODEL; 3.7.4 DETECTING CONDITIONAL HETEROSKEDASTICITY; 3.7.5 THE BDS TEST 327 $a3.7.6 AN ALTERNATIVE TO THE BDS TEST: INTEGRATION ACROSS THE CORRELATION INTEGRAL3.7.7 IDENTIFICATION AND ESTIMATION OF A GARCH MODEL; 3.7.8 EXTENSIONS OF ARCH-TYPE MODELS; 3.7.9 MULTIVARIATE (G)ARCH MODELS; 3.7.10 STRUCTURAL BREAKS IN VOLATILITY; 4. MULTIPLE TIME SERIES; 4.1 VAR MODELS; 4.1.1 STRUCTURAL FORM, REDUCED FORM, AND IDENTIFICATION; 4.1.2 STABILITY AND STATIONARITY OF VAR MODELS; 4.1.3 ESTIMATION OF A VAR MODEL; 4.2 GRANGER CAUSALITY; 4.3 COINTEGRATION AND ERROR CORRECTION MODELS; 4.3.1 DEFINITION OF COINTEGRATION; 4.3.2 THE ENGLE-GRANGER METHODOLOGY 327 $a4.3.3 EXTENSIONS TO THE ENGLE-GRANGER METHODOLOGY4.3.4 THE JOHANSEN METHODOLOGY; 5. PANEL DATA AND UNIT ROOT TESTS; 5.1 LEVIN, LIN, AND CHU PANEL UNIT-ROOT TEST WITH A NULL OF UNIT ROOT AND LIMITED COEFFICIENTS HETEROGENEITY; 5.2. IM, PESARAN, AND SHIN UNIT-ROOT TEST WITH A NULL OF UNIT ROOT AND HETEROGENEOUS COEFFICIENTS; 5.3 HADRI UNIT-ROOT TESTS WITHA NULL OF STATIONARITY; 5.4 BREUER, MCNOWN, AND WALLACETEST FOR CONVERGENCE; 5.5 VOGELSANG TEST FOR ?-CONVERGENCE; APPENDIX A - MONTE CARLO SIMULATIONS; APPENDIX B - STATISTICAL TABLES; REFERENCES; INDEX 606 $aTime-series analysis$xMathematical models 615 0$aTime-series analysis$xMathematical models. 676 $a519.55 700 $aKosenda$b Evzen$01677733 702 $aC?erny?$b Alexandr 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910821021303321 996 $aElements of time series econometrics$94044834 997 $aUNINA