Are fluctuations in electricity consumption per capita transitory? evidence from developed and developing economies
|
|
- Philip Watkins
- 5 years ago
- Views:
Transcription
1 MPRA Munich Personal RePEc Archive Are flucuaions in elecriciy consumpion per capia ransiory? evidence from developed and developing economies Muhammad Shahbaz and Aviral Tiwari and Ozurk Ilhan and Farooq Abdul COMSATS Insiude of Informaion Technology, Lahore, Pakisan, ICFAI Universiy Tripura, Cag Universiy, COMSATS Insiude of Informaion Technology, Lahore, Pakisan 10. June 2012 Online a hp://mpra.ub.uni-muenchen.de/39443/ MPRA Paper No , posed 14. June :48 UTC
2 Are Flucuaions in Elecriciy Consumpion per Capia Transiory? Evidence from Developed and Developing Economies Muhammad Shahbaz COMSATS Insiue of Informaion Technology, M. A Jinnah Campus, Defence Road, Off Raiwind Road, Lahore, Pakisan, shahbazmohd@live.com Aviral Kumar Tiwari Faculy of Managemen, ICFAI Universiy Tripura, Kamalgha, Sadar, Wes Tripura, Pin Id: aviral.eco@gmail.com Ilhan Ozurk Faculy of Economics and Adminisraive Sciences, Cag Universiy, 33800, Mersin, Turkey. ilhanozurk@cag.edu.r Tel & Fax: Abdul Farooq COMSATS Insiue of Informaion Technology, M. A Jinnah Campus, Defence Road, Off Raiwind Road, Lahore, Pakisan, afarooq@ciilahore.edu.pk Absrac This paper invesigaes he uni roo properies of elecriciy consumpion per capia for he 67 developed and developing counries for period. To examine he saionary properies of elecriciy consumpion per capia, we have adoped Lee and Srazicich (2003, 2004) es of uni roo ha allows us o es for a mos wo endogenous breaks and uses he Lagrange Muliplier (LM) es saisics. Resuls show ha 65 counry series rejec he uni roo null hypohesis excep for 2 counry series. Thus, our empirical findings provide significan evidence ha elecriciy consumpion per capia is saionary in almos all counries considered in he sudy. The saionariy of elecriciy consumpion per capia indicaes ha i should be possible for he series o forecas fuure movemens in he energy consumpion based on he pas behaviors of he series. Keywords: Elecriciy, Transiory, Permanen 1
3 1. Inroducion Energy lieraure seems o provide he empirical evidence finding saionariy properies of energy consumpion. For insance, Lee and Chang [1], Al-Irani [2], Chen and Lee [3], Narayan and Smyh [4], Hsu e al. [5], Lean and Smyh [6], Mishra e al. [7], Apergis e al. [8, 9], Narayan e al. [10], Ozurk and Aslan [11], Hasanov and Erdinc [12], Aslan [13], Aslan and Kum [14] and Kula e al. [15] applied numerous approaches o examine saionariy properies of energy consumpion. The empirical invesigaion of saionariy properies of he energy consumpion leads us o check wheher shocks o energy consumpion have unending or emporary effecs. If he series of energy consumpion is saionary a level hen flucuaions in energy consumpion will have emporary effecs wih he passage of ime and such policies have ransiory impac. These effecs are removed once he series (i.e. energy consumpion) reurn o heir long run pah. The pas behavior of energy consumpion can be used o formulae forecas once series is found o be saionary. On conrary, if energy consumpion conains uni roo problem (i.e. non-saionary) hen flucuaions in energy consumpion seems o have permanen effecs (Chen and Lee, [3]; Mishra e al., [7]). The sudies repored in Table-1 applied various echniques o find saionariy properies of energy variables providing conflicing resuls. Mos of hese sudies used uni roo ess which do no have informaion abou srucural break poin semming in he energy series excep Ozurk and Aslan [11] and Kalu e al. [15]. These ess failed o capure he effecs of coninuous economic growh, implemenaion of naional policies, crisis, wars ec, alhough auhors employed a variey of economeric approaches. Thus, when srucural breaks are aken ino accoun, mos of he sudies show ha elecriciy consumpion per capia is saionary. Finally, by aking srucural breaks in he elecriciy consumpion series will 2
4 significanly increase he power of he uni roo ess and more significan resuls may be obained from he analyses. Table-1: Survey of lieraure for saionariy properies Auhors Time period Uni Roo Tes Conclusion Lee and Chang [1] Zivo and Andrews [16] Uni roo exiss srucural break es Al-Irani [2] Univariae and IPS panel ess Uni roo exiss Narayan and Smyh [4] Univariae and IPS panel ess Saionariy is found Chen and Lee [3] Carrion-Silvesre muliple Tes Saionariy is found Narayan e al. [17] LM srucural break es Saionariy is found Hsu e al. [5] Panel seemingly unrelaed Uni roo exiss regressions ADF Mishra e al. [7] LLC, IPS and Maddalae Wu Miscellaneous resuls (MW) panel ess and CIPS es Lean and Smyh [6] Long memory es Miscellaneous resuls Narayan e al. [10] Lee and Srazicich (2003) wo Saionariy is found Srucural break Tes Apergis e al. [8] LM srucural break es Saionariy is found Apergis e al. [9] LM srucural break es Saionariy is found Ozurk and Aslan [11] Lee and Srazicich [18]) wo Saionariy is found Srucural break Tes Hasanov and Erdinc [12] Non-linear Tes by Kapeanios Miscellaneous resuls e al. [19] Aslan [11] LM srucural break es Miscellaneous resuls Aslan and Kum [14] LM srucural break es Saionariy is found 3
5 Kalu e al. [15] LM srucural break es Saionariy is found The aim of his paper is o examine he uni roo properies of elecriciy consumpion per capia for he 67 developed and developing counries for period. The paper is organized as follows: Secion 2 describes mehodology and daa. Secion 3 presens resuls and Secion 4 concludes he paper. 2. Mehodology and Daa Tradiional uni roo ess like Augmened Dickey Fuller (ADF) [20], Phillips-Perron (PP) [21] and Perron (1990) are found o give misleading resuls (i.e., biased owards he nonrejecion of null hypohesis when srucural breaks are presen in he daa series). Therefore, in he presen sudy we have adoped Lee and Srazicich [18, 23] es of uni roo ha allows us o es for a mos wo endogenous break and uses he Lagrange Muliplier (LM) es saisics. Le us consider he following daa generaing process (DGP): y Z e, e e 1. (1) where Z is a vecor of exogenous variables, is a vecor of parameers and is a whie 2 noise process, such ha ~ NIID (0, ). Firs we will consider he case when break here is evidence of one srucural break. The Crash model ha allows shif in level only is described by Z 1,, D ]', and he break model ha allows for changes in boh level and rend is [ described as Z [ 1,, D DT ]', where D and DT are wo dummies defined as: D 1,if T 1 = 0, oherwise and DT T if T 1 B B, B = 0, oherwise where T B is he ime period of he break dae. 4
6 Nex, le us consider he framework ha allows for wo srucural breaks. The crash model ha considers wo shifs in level only is described by Z 1,, D, D ]', and he break model [ 1 2 ha allows for wo changes in boh level and rend is described as Z [ 1,, D1 DT1 D2 DT2 ]', where D j and above, viz., DT j for j = 1, 2 are appropriae dummies defined as D j 1,if T 1 = 0, oherwise and DT T if T 1 = 0, oherwise where T Bj is he j h break dae. Bj j Bj, Bj The main advanage of (Lee and Srazicich, [18, 23]) approach o uni roo es is ha i allows for breaks under he null (β = 1) and alernaive (β < 1) in he DGP given in equaion (1). This mehod uses he following regression o obain he LM uni roo es saisics. y ' Z ~ S k ~ i S 1 j i 1 u...(2) where ~ S ~ ~ ~ y Z, 2,..., T; denoes he regression coefficien of y on Z and ~ ~ y Z1, y1 and 1 Z being firs observaions of y and Z respecively. The lagged erm ~ S j are included o correc for likely serial correlaion in errors. Using he above equaion, he null hypohesis of uni roo es ( 0) is esed by he LM -saisics. The locaion of he srucural break or srucural breaks is deermined by selecing all possible breaks for he minimum -saisic as follows: ln f ~ ( ) ln ~ i f ( ), where T B / T 5
7 The search is carried ou over he rimming region (0.15T, 0.85T), where T is sample size and T B denoes dae of srucural break. We deermined he breaks where he endogenous wobreak LM -es saisic is a a minimum. The criical values are abulaed in Lee and Srazicich [18, 23] for he wo-break and one-break cases respecively. The daa on elecriciy consumpion per capia (KWH) has been obained from World Bank s World Developmen Indicaors (WDI-CD, 2010). We have used daa of 67 developed and developing counries for period (see Table 2 for he counries used in his sudy). These counries are seleced according o daa availabiliy. 3. Empirical Resuls We sar our empirical exercise by examining saionariy properies of elecriciy consumpion per capia applying univariae LM uni roo es wih wo srucural breaks of 67 developed and developing economies of he globe. We decide o use maximum number of lagged augmened erms ha is k = 12. As such, he procedure looks for he significance of he las augmened erm. We hen use he 10% asympoic normal value of on he - saisic of he las firs differenced lagged erm. Afer deermining he opimal k a each combinaion of wo break poins, we deermine he srucural breaks where he endogenous wo breaks LM -es saisic is a a minimum. We examine each possible combinaion of wo break poins over he ime inerval of (0.15T, 0.85T) while eliminaing he endpoins. Here, T is he sample of size. We begin wih he LM uni roo -saisic wih wo breaks and examine he significance of he dummy coefficiens on he basis of he convenional -saisics. If less han wo breaks are significan a 10%, we apply he minimum LM uni roo -saisic wih one break proposed by Lee and Srazicich [23]. The LM uni roo es resuls for per capia elecriciy consumpion series are summarized in Table-2. 6
8 Table-2: LM uni roo es wih wo srucural breaks No. Counries T B1 T B2 T. saisics K 1 Algeria * 12 2 Argenina * 5 3 Ausralia Ausria * 12 5 Belgium * 12 6 Benin * 0 7 Bolivia * 7 8 Brazil * 12 9 Cameroon * Canada * Colombia * 4 12 Congo Dem. Rep * Congo Rep * Sweden * Cosa Rica * Co devoir * 0 17 Denmark * Dominican Rep * Ecuador ** Egyp * El-Salvador * Finland * 7 23 France * Gabon * 11 7
9 25 Ghana * 8 26 Greece ** 1 27 Guaemala * Honduras * 3 29 Iceland * 4 30 India * 7 31 Indonesia * 1 32 Iran * Ireland * Israel * 2 35 Ialy * 6 36 Japan * 8 37 Kenya * Korea Dem. Rep * 1 39 Malaysia * 7 40 Mexico * Morocco * 0 42 Nepal * The Neherlands * New Zealand * 0 45 Nicaragua * Nigeria * 5 47 Norway * Oman * Pakisan * Paraguay * 7 8
10 51 Peru * 0 52 Philippines * Serbia Senegal * Souh Africa * Spain * Sudan * 6 58 Thailand * Togo * 8 60 Trinidad and Tobago ** 8 61 Tunisia ** 9 62 Turkey * 6 63 Unied Kingdom * Uruguay * 0 65 Unied Saes * Venezuela * 6 67 Zambia * 4 Noe: This able presens Resuls for univariae LM uni roo es wih wo srucural breaks in inercep/consan and rend boh. T B1 and T B2 are he daes of he srucural breaks; k is he lag lengh ha is he opimal number of lagged firs differenced erms included in he uni roo es o correc for serial correlaion. The 1%, 5% and 10% criical values for he minimum LM es wih one break are 4.239, and 3.211, respecively. The 1%, 5% and 10% criical values for he minimum LM es wih wo breaks are 4.545, and 3.504, respecively. *, ** and *** denoe saisical significance a he 10%, 5% and 1% levels, respecively. 9
11 The LM uni roo analysis summarized in Table-2 provides suppor o accep he saionariy hypohesis of elecriciy consumpion per capia series for 65 of seleced 67 developed and developing counries. The resuls confirm ha flucuaions in elecriciy consumpion have emporary effecs in 65 counries. Kalu e al. [15] conduced a sudy using a daa of OECD counries and concluded ha in case of Finland and Spain shocks o elecriciy consumpion per capia are permanen. In he presen sudy we found ha shocks o elecriciy consumpion per capia are o be permanen for Ausralia and Serbia. Furher, our findings regarding Finland and Spain are no consisen wih Kalu e al. [15] because our analysis reveals ha shocks o elecriciy consumpion per capia have permanen effecs in case of Finland and Spain. The reason migh be he span of he daa used for analysis where Kalu e al. [15] uilized daa for he period and his sudy used daa covering period An examinaion of he break poins in Table-2 reveals some clusering of he break daes. I is apparen ha firs srucural breaks in mos of he series had occurred around he crises i.e., 1986, 1987 and This preponderance of break poins may reflec recessions during his period which leads o large shifs in he economic aciviy. 4. Conclusion and Fuure Research The saionary properies of per capia elecriciy consumpion have been analyzed in his sudy for 67 developed and developing counries by using (ime series daa) annual daa over LM uni roo es has been applied ha endogenously deermines srucural breaks in level and rend. Empirical resuls of he uni roo es reveal ha 65 counry series rejec he uni roo null hypohesis a he 1% and 5% significance levels, and accep only in 2 counry series (in Ausralia and Serbia). Hence, on he basis of empirical evidences invesigaed in his paper, we can say ha per capia elecriciy consumpion is saionary in almos all he counries. Thus, if he per capia elecriciy consumpion is mean (or rend) 10
12 revering, hen i follows ha he series will reurn o is mean value (or rend pah) and i migh be possible o forecas fuure movemens in he per capia elecriciy consumpion based on pas behaviors of he series (Narayan and Smyh, [4]). For he policy makers, i is no necessary o pay aenion o elecriciy consumpion series. For he fuure sudies relaed wih elecriciy consumpion, srucural breaks should be aken ino accoun o obain more significan resuls. Fuure research should consider secoral daa level such as indusrial elecriciy and/or residenial elecriciy raher han aggregae daa. 11
13 References [1]. Lee C-C, Chang C-P. Srucural breaks, energy consumpion, and economic growh revisied: Evidence from Taiwan. Energy Economics 2005; 27: [2]. Al-Iriani MA. Energy GDP relaionship revisied: an example from GCC counries using panel causaliy. Energy Policy 2006; 34: [3]. Chen PF, Lee CC. Is energy consumpion per capia broken saionary? New evidence from regional-based panels. Energy Policy 2007; 35: [4]. Narayan PK, Smyh R. Are shocks o energy consumpion permanen or ransiory? Evidence from 182 counries. Energy Policy 2007; 35: [5]. Hsu YC, Lee CC, Lee CC. Revisied: are shocks o energy consumpion permanen or ransiory? New evidence from a panel SURADF approach. Energy Economics 2008; 30: [6]. Lean HH, Smyh R, Long memory in US disaggregaed peroleum consumpion: evidence from univariae and mulivariae LM ess for fracional inegraion. Energy Policy 2009; 37: [7]. Mishra V, Sharma S, Smyh R. Are flucuaions in energy consumpion per capia ransiory? Evidence from a panel of pacific island counries. Energy Policy 2009; 37: [8]. Apergis N, Loomis D, Payne JE. Are flucuaions in coal consumpion ransiory or permanen? Evidence from a panel of US saes. Applied Energy 2010a; 87: [9]. Apergis N, Loomis D, Payne JE. Are shocks o naural gas consumpion emporary or permanen? Evidence from a panel of US saes. Energy Policy 2010b; 38: [10]. Narayan PK, Narayan S, Popp S. Energy consumpion a he sae level: he uni roo null hypohesis from Ausralia. Applied Energy 2010; 85:
14 [11]. Ozurk I, Aslan A. Are flucuaions in energy consumpion per capia ransiory? Evidence from Turkey. Energy, Exploraion & Exploiaion 2011; 29: [12]. Hasanov M, Telaar E. A re-examinaion of saionariy of energy consumpion: evidence from new uni roo ess. Energy Policy 2011; 39: [13]. Aslan A. Does naural gas consumpion follow a nonlinear pah over ime? Evidence from 50 saes? Renewable and Susainable Energy Reviews 2011; 15: [14]. Aslan A, Kum H. The saionariy of energy consumpion for Turkish disaggregae daa by employing linear and nonlinear uni roo ess. Energy 2011; 36: [15]. Kula F, Aslan A, Ozurk I. Is per capia elecriciy consumpion saionary? ime series evidence from OECD counries. Renewable and Susainable Energy Reviews 2012; 16: [16]. Zivo E, Andrews D, Furher evidence on he grea crash, he oil price shock, and he uni roo hypohesis. Journal of Business and Economic Saisics 1992; 10: [17]. Narayan PK, Narayan S, Smyh R. Are oil shocks permanen or emporary? Panel daa evidence from crude oil and NGL producion in 60 counries. Energy Economics 2008; 30: [18]. Lee J, Srazicich MC. Minimum Lagrange muliplier uni roo es wih wo srucural breaks. Review of Economics and Saisics 2003; 85: [19]. Kapeanios G, Shin Y, Snell A. Tesing for a uni roo in he nonlinear STAR framework. Journal of Economerics 2003; 112: [20]. Dickey DA, Fuller WA. Disribuion of he esimaors for auoregressive ime series wih a uni roo. Journal of he American Saisical Associaion 1979; 74: [21]. Phillips P, Perron P, Tesing for a uni roo in ime series regression. Biomerica 1988; 75:
15 [22]. Perron P. Tesing for a uni roo in a ime series wih a changing mean. Journal of Business & Economic Saisics 1990; 8: [23]. Lee J, Srazicich MC. Minimum LM Uni Roo Tes wih One Srucural Break. Working Papers 04-17, 2004; Deparmen of Economics, Appalachian Sae Universiy. 14
A unit root test based on smooth transitions and nonlinear adjustment
MPRA Munich Personal RePEc Archive A uni roo es based on smooh ransiions and nonlinear adjusmen Aycan Hepsag Isanbul Universiy 5 Ocober 2017 Online a hps://mpra.ub.uni-muenchen.de/81788/ MPRA Paper No.
More informationTime Series Test of Nonlinear Convergence and Transitional Dynamics. Terence Tai-Leung Chong
Time Series Tes of Nonlinear Convergence and Transiional Dynamics Terence Tai-Leung Chong Deparmen of Economics, The Chinese Universiy of Hong Kong Melvin J. Hinich Signal and Informaion Sciences Laboraory
More informationMean Reversion of Balance of Payments GEvidence from Sequential Trend Break Unit Root Tests. Abstract
Mean Reversion of Balance of Paymens GEvidence from Sequenial Trend Brea Uni Roo Tess Mei-Yin Lin Deparmen of Economics, Shih Hsin Universiy Jue-Shyan Wang Deparmen of Public Finance, Naional Chengchi
More informationVectorautoregressive Model and Cointegration Analysis. Time Series Analysis Dr. Sevtap Kestel 1
Vecorauoregressive Model and Coinegraion Analysis Par V Time Series Analysis Dr. Sevap Kesel 1 Vecorauoregression Vecor auoregression (VAR) is an economeric model used o capure he evoluion and he inerdependencies
More informationGDP PER CAPITA IN EUROPE: TIME TRENDS AND PERSISTENCE
Economics and Finance Working Paper Series Deparmen of Economics and Finance Working Paper No. 17-18 Guglielmo Maria Caporale and Luis A. Gil-Alana GDP PER CAPITA IN EUROPE: TIME TRENDS AND PERSISTENCE
More informationHow to Deal with Structural Breaks in Practical Cointegration Analysis
How o Deal wih Srucural Breaks in Pracical Coinegraion Analysis Roselyne Joyeux * School of Economic and Financial Sudies Macquarie Universiy December 00 ABSTRACT In his noe we consider he reamen of srucural
More informationA New Unit Root Test against Asymmetric ESTAR Nonlinearity with Smooth Breaks
Iran. Econ. Rev. Vol., No., 08. pp. 5-6 A New Uni Roo es agains Asymmeric ESAR Nonlineariy wih Smooh Breaks Omid Ranjbar*, sangyao Chang, Zahra (Mila) Elmi 3, Chien-Chiang Lee 4 Received: December 7, 06
More informationDepartment of Economics East Carolina University Greenville, NC Phone: Fax:
March 3, 999 Time Series Evidence on Wheher Adjusmen o Long-Run Equilibrium is Asymmeric Philip Rohman Eas Carolina Universiy Absrac The Enders and Granger (998) uni-roo es agains saionary alernaives wih
More informationGranger Causality Among Pre-Crisis East Asian Exchange Rates. (Running Title: Granger Causality Among Pre-Crisis East Asian Exchange Rates)
Granger Causaliy Among PreCrisis Eas Asian Exchange Raes (Running Tile: Granger Causaliy Among PreCrisis Eas Asian Exchange Raes) Joseph D. ALBA and Donghyun PARK *, School of Humaniies and Social Sciences
More informationA complementary test for ADF test with an application to the exchange rates returns
MPRA Munich Personal RePEc Archive A complemenary es for ADF es wih an applicaion o he exchange raes reurns Venus Khim-Sen Liew and Sie-Hoe Lau and Siew-Eng Ling 005 Online a hp://mpra.ub.uni-muenchen.de/518/
More informationMethodology. -ratios are biased and that the appropriate critical values have to be increased by an amount. that depends on the sample size.
Mehodology. Uni Roo Tess A ime series is inegraed when i has a mean revering propery and a finie variance. I is only emporarily ou of equilibrium and is called saionary in I(0). However a ime series ha
More informationThe Validity of the Tourism-Led Growth Hypothesis for Thailand
MPRA Munich Personal RePEc Archive The Validiy of he Tourism-Led Growh Hypohesis for Thailand Komain Jiranyakul Naional Insiue of Developmen Adminisraion Augus 206 Online a hps://mpra.ub.uni-muenchen.de/72806/
More informationR t. C t P t. + u t. C t = αp t + βr t + v t. + β + w t
Exercise 7 C P = α + β R P + u C = αp + βr + v (a) (b) C R = α P R + β + w (c) Assumpions abou he disurbances u, v, w : Classical assumions on he disurbance of one of he equaions, eg. on (b): E(v v s P,
More informationA Specification Test for Linear Dynamic Stochastic General Equilibrium Models
Journal of Saisical and Economeric Mehods, vol.1, no.2, 2012, 65-70 ISSN: 2241-0384 (prin), 2241-0376 (online) Scienpress Ld, 2012 A Specificaion Tes for Linear Dynamic Sochasic General Equilibrium Models
More informationACE 564 Spring Lecture 7. Extensions of The Multiple Regression Model: Dummy Independent Variables. by Professor Scott H.
ACE 564 Spring 2006 Lecure 7 Exensions of The Muliple Regression Model: Dumm Independen Variables b Professor Sco H. Irwin Readings: Griffihs, Hill and Judge. "Dumm Variables and Varing Coefficien Models
More informationDo Steel Consumption and Production Cause Economic Growth?: A Case Study of Six Southeast Asian Countries
JOURNAL OF INTERNATIONAL AND AREA STUDIES Volume 5, Number, 008, pp.-5 Do Seel Consumpion and Producion Cause Economic Growh?: A Case Sudy of Six Souheas Asian Counries Hee-Ryang Ra This sudy aims o deermine
More informationLicenciatura de ADE y Licenciatura conjunta Derecho y ADE. Hoja de ejercicios 2 PARTE A
Licenciaura de ADE y Licenciaura conjuna Derecho y ADE Hoja de ejercicios PARTE A 1. Consider he following models Δy = 0.8 + ε (1 + 0.8L) Δ 1 y = ε where ε and ε are independen whie noise processes. In
More informationARE SHOCKS IN THE TOURISM OF V4 COUNTRIES PERMANENT?
ARE SHOCKS IN THE TOURISM OF V4 COUNTRIES PERMANENT? Šefan Lyócsa Eva Liavcová Pera Vašaničová Absrac We sudy he persisence properies of seasonally adjused number of nighs spen (NNS) in four Cenral and
More informationTesting for a Single Factor Model in the Multivariate State Space Framework
esing for a Single Facor Model in he Mulivariae Sae Space Framework Chen C.-Y. M. Chiba and M. Kobayashi Inernaional Graduae School of Social Sciences Yokohama Naional Universiy Japan Faculy of Economics
More information(a) Set up the least squares estimation procedure for this problem, which will consist in minimizing the sum of squared residuals. 2 t.
Insrucions: The goal of he problem se is o undersand wha you are doing raher han jus geing he correc resul. Please show your work clearly and nealy. No credi will be given o lae homework, regardless of
More informationESTIMATION OF DYNAMIC PANEL DATA MODELS WHEN REGRESSION COEFFICIENTS AND INDIVIDUAL EFFECTS ARE TIME-VARYING
Inernaional Journal of Social Science and Economic Research Volume:02 Issue:0 ESTIMATION OF DYNAMIC PANEL DATA MODELS WHEN REGRESSION COEFFICIENTS AND INDIVIDUAL EFFECTS ARE TIME-VARYING Chung-ki Min Professor
More informationWhy is Chinese Provincial Output Diverging? Joakim Westerlund, University of Gothenburg David Edgerton, Lund University Sonja Opper, Lund University
Why is Chinese Provincial Oupu Diverging? Joakim Weserlund, Universiy of Gohenburg David Edgeron, Lund Universiy Sonja Opper, Lund Universiy Purpose of his paper. We re-examine he resul of Pedroni and
More informationReady for euro? Empirical study of the actual monetary policy independence in Poland VECM modelling
Macroeconomerics Handou 2 Ready for euro? Empirical sudy of he acual moneary policy independence in Poland VECM modelling 1. Inroducion This classes are based on: Łukasz Goczek & Dagmara Mycielska, 2013.
More informationForecasting optimally
I) ile: Forecas Evaluaion II) Conens: Evaluaing forecass, properies of opimal forecass, esing properies of opimal forecass, saisical comparison of forecas accuracy III) Documenaion: - Diebold, Francis
More informationTourism forecasting using conditional volatility models
Tourism forecasing using condiional volailiy models ABSTRACT Condiional volailiy models are used in ourism demand sudies o model he effecs of shocks on demand volailiy, which arise from changes in poliical,
More informationTemporal Causality between Human Capital and Real Income in Cointegrated VAR Processes: Empirical Evidence from China,
Inernaional Journal of Business and Economics, 2004, Vol. 3, No. 1, 1-11 Temporal Causaliy beween Human Capial and Real Income in Coinegraed VAR Processes: Empirical Evidence from China, 1960-1999 Paresh
More informationLecture 5. Time series: ECM. Bernardina Algieri Department Economics, Statistics and Finance
Lecure 5 Time series: ECM Bernardina Algieri Deparmen Economics, Saisics and Finance Conens Time Series Modelling Coinegraion Error Correcion Model Two Seps, Engle-Granger procedure Error Correcion Model
More informationNonlinear Mean Reversion in Real Exchange Rates: Evidence from Developing and Emerging Market Economies. Abstract
Nonlinear Mean Reversion in Real Exchange Raes: Evidence from Developing and Emerging Marke Economies Mario Cerrao London Meropolian Universiy Nick Saranis London Meropolian Universiy Absrac We provide
More informationA Quasi-Bayesian Analysis of Structural Breaks: China s Output and Productivity Series
Inernaional Journal of Business and Economics, 2004, Vol. 3, No. 1, 57-65 A Quasi-Bayesian Analysis of Srucural Breaks: China s Oupu and Produciviy Series Xiao-Ming Li * Deparmen of Commerce, Massey Universiy
More informationRobust estimation based on the first- and third-moment restrictions of the power transformation model
h Inernaional Congress on Modelling and Simulaion, Adelaide, Ausralia, 6 December 3 www.mssanz.org.au/modsim3 Robus esimaion based on he firs- and hird-momen resricions of he power ransformaion Nawaa,
More informationStability. Coefficients may change over time. Evolution of the economy Policy changes
Sabiliy Coefficiens may change over ime Evoluion of he economy Policy changes Time Varying Parameers y = α + x β + Coefficiens depend on he ime period If he coefficiens vary randomly and are unpredicable,
More informationRegression with Time Series Data
Regression wih Time Series Daa y = β 0 + β 1 x 1 +...+ β k x k + u Serial Correlaion and Heeroskedasiciy Time Series - Serial Correlaion and Heeroskedasiciy 1 Serially Correlaed Errors: Consequences Wih
More informationUnit Root Time Series. Univariate random walk
Uni Roo ime Series Univariae random walk Consider he regression y y where ~ iid N 0, he leas squares esimae of is: ˆ yy y y yy Now wha if = If y y hen le y 0 =0 so ha y j j If ~ iid N 0, hen y ~ N 0, he
More informationDebt and economic growth: Is there any causal effect? An empirical analysis with structural breaks and Granger causality for Greece
Theoreical and Applied Economics Volume XXI (204), No. (590), pp. 5-62 Deb and economic growh: Is here any causal effec? An empirical analysis wih srucural breas and Granger causaliy for Greece Sylianou
More informationSHIFTS IN PERSISTENCE IN TURKISH REAL EXCHANGE RATES HALUK ERLAT
Vol., Sepember 2009 SHIFTS IN PERSISTENCE IN TURKISH REAL EXCHANGE RATES HALUK ERLAT Deparmen of Economics Middle Eas Technical Universiy 0653 Ankara, Turkey Fax: 90-32-207964 Email: herla@meu.edu.r Prepared
More informationChickens vs. Eggs: Replicating Thurman and Fisher (1988) by Arianto A. Patunru Department of Economics, University of Indonesia 2004
Chicens vs. Eggs: Relicaing Thurman and Fisher (988) by Ariano A. Paunru Dearmen of Economics, Universiy of Indonesia 2004. Inroducion This exercise lays ou he rocedure for esing Granger Causaliy as discussed
More informationECON 482 / WH Hong Time Series Data Analysis 1. The Nature of Time Series Data. Example of time series data (inflation and unemployment rates)
ECON 48 / WH Hong Time Series Daa Analysis. The Naure of Time Series Daa Example of ime series daa (inflaion and unemploymen raes) ECON 48 / WH Hong Time Series Daa Analysis The naure of ime series daa
More informationChapter 16. Regression with Time Series Data
Chaper 16 Regression wih Time Series Daa The analysis of ime series daa is of vial ineres o many groups, such as macroeconomiss sudying he behavior of naional and inernaional economies, finance economiss
More informationØkonomisk Kandidateksamen 2005(II) Econometrics 2. Solution
Økonomisk Kandidaeksamen 2005(II) Economerics 2 Soluion his is he proposed soluion for he exam in Economerics 2. For compleeness he soluion gives formal answers o mos of he quesions alhough his is no always
More informationNonstationarity-Integrated Models. Time Series Analysis Dr. Sevtap Kestel 1
Nonsaionariy-Inegraed Models Time Series Analysis Dr. Sevap Kesel 1 Diagnosic Checking Residual Analysis: Whie noise. P-P or Q-Q plos of he residuals follow a normal disribuion, he series is called a Gaussian
More informationEcon Autocorrelation. Sanjaya DeSilva
Econ 39 - Auocorrelaion Sanjaya DeSilva Ocober 3, 008 1 Definiion Auocorrelaion (or serial correlaion) occurs when he error erm of one observaion is correlaed wih he error erm of any oher observaion. This
More informationFinancial Crisis, Taylor Rule and the Fed
Deparmen of Economics Working Paper Series Financial Crisis, Taylor Rule and he Fed Saen Kumar 2014/02 1 Financial Crisis, Taylor Rule and he Fed Saen Kumar * Deparmen of Economics, Auckland Universiy
More informationRemittances and Economic Growth: Empirical Evidence from Bangladesh
Journal of Economics and Susainable Developmen ISSN 2222-700 (Paper) ISSN 2222-2855 (Online) Vol.7, No.2, 206 www.iise.org Remiances and Economic Growh: Empirical Evidence from Bangladesh Md. Nisar Ahmed
More informationLONG MEMORY AT THE LONG-RUN AND THE SEASONAL MONTHLY FREQUENCIES IN THE US MONEY STOCK. Guglielmo Maria Caporale. Brunel University, London
LONG MEMORY AT THE LONG-RUN AND THE SEASONAL MONTHLY FREQUENCIES IN THE US MONEY STOCK Guglielmo Maria Caporale Brunel Universiy, London Luis A. Gil-Alana Universiy of Navarra Absrac In his paper we show
More informationDEPARTMENT OF ECONOMICS AND FINANCE COLLEGE OF BUSINESS AND ECONOMICS UNIVERSITY OF CANTERBURY CHRISTCHURCH, NEW ZEALAND
DEPARTMENT OF ECONOMICS AND FINANCE COLLEGE OF BUSINESS AND ECONOMICS UNIVERSITY OF CANTERBURY CHRISTCHURCH, NEW ZEALAND Asymmery and Leverage in Condiional Volailiy Models Michael McAleer WORKING PAPER
More informationRobust critical values for unit root tests for series with conditional heteroscedasticity errors: An application of the simple NoVaS transformation
WORKING PAPER 01: Robus criical values for uni roo ess for series wih condiional heeroscedasiciy errors: An applicaion of he simple NoVaS ransformaion Panagiois Manalos ECONOMETRICS AND STATISTICS ISSN
More informationA Sequential Procedure for Testing Unit Roots in the Presence of Structural Break in Time Series Data
Universiy of Wollongong Research Online Faculy of Business - Economics Woring Papers Faculy of Business 005 A Sequenial Procedure for Tesing Uni Roos in he Presence of Srucural Brea in Time Series Daa
More informationStock Prices and Dividends in Taiwan's Stock Market: Evidence Based on Time-Varying Present Value Model. Abstract
Sock Prices and Dividends in Taiwan's Sock Marke: Evidence Based on Time-Varying Presen Value Model Chi-Wei Su Deparmen of Finance, Providence Universiy, Taichung, Taiwan Hsu-Ling Chang Deparmen of Accouning
More informationExternal Shocks, Structural Breaks and Unemployment Hysteresis in China
MANAGEMENT SCIENCE AND ENGINEERING Vol. 4, No. 4, 00, pp. 75-8 www.cscanada.org ISSN 93-034 [Prin] ISSN 93-035X [Online] www.cscanada.ne Exernal Shocks, Srucural Breaks and Unemploymen Hyseresis in China
More informationTHE IMPACT OF MISDIAGNOSING A STRUCTURAL BREAK ON STANDARD UNIT ROOT TESTS: MONTE CARLO RESULTS FOR SMALL SAMPLE SIZE AND POWER
THE IMPACT OF MISDIAGNOSING A STRUCTURAL BREAK ON STANDARD UNIT ROOT TESTS: MONTE CARLO RESULTS FOR SMALL SAMPLE SIZE AND POWER E Moolman and S K McCoskey * A Absrac s discussed by Perron (989), a common
More informationChoice of Spectral Density Estimator in Ng-Perron Test: A Comparative Analysis
Inernaional Economeric Review (IER) Choice of Specral Densiy Esimaor in Ng-Perron Tes: A Comparaive Analysis Muhammad Irfan Malik and Aiq-ur-Rehman Inernaional Islamic Universiy Islamabad and Inernaional
More informationTime Series Models for Growth of Urban Population in SAARC Countries
Advances in Managemen & Applied Economics, vol., no.1, 01, 109-119 ISSN: 179-7544 (prin version), 179-755 (online) Inernaional Scienific Press, 01 Time Series Models for Growh of Urban Populaion in SAARC
More informationOutline. lse-logo. Outline. Outline. 1 Wald Test. 2 The Likelihood Ratio Test. 3 Lagrange Multiplier Tests
Ouline Ouline Hypohesis Tes wihin he Maximum Likelihood Framework There are hree main frequenis approaches o inference wihin he Maximum Likelihood framework: he Wald es, he Likelihood Raio es and he Lagrange
More informationStationary Time Series
3-Jul-3 Time Series Analysis Assoc. Prof. Dr. Sevap Kesel July 03 Saionary Time Series Sricly saionary process: If he oin dis. of is he same as he oin dis. of ( X,... X n) ( X h,... X nh) Weakly Saionary
More informationWavelet Variance, Covariance and Correlation Analysis of BSE and NSE Indexes Financial Time Series
Wavele Variance, Covariance and Correlaion Analysis of BSE and NSE Indexes Financial Time Series Anu Kumar 1*, Sangeea Pan 1, Lokesh Kumar Joshi 1 Deparmen of Mahemaics, Universiy of Peroleum & Energy
More informationOn Measuring Pro-Poor Growth. 1. On Various Ways of Measuring Pro-Poor Growth: A Short Review of the Literature
On Measuring Pro-Poor Growh 1. On Various Ways of Measuring Pro-Poor Growh: A Shor eview of he Lieraure During he pas en years or so here have been various suggesions concerning he way one should check
More information1. Diagnostic (Misspeci cation) Tests: Testing the Assumptions
Business School, Brunel Universiy MSc. EC5501/5509 Modelling Financial Decisions and Markes/Inroducion o Quaniaive Mehods Prof. Menelaos Karanasos (Room SS269, el. 01895265284) Lecure Noes 6 1. Diagnosic
More informationIntroduction D P. r = constant discount rate, g = Gordon Model (1962): constant dividend growth rate.
Inroducion Gordon Model (1962): D P = r g r = consan discoun rae, g = consan dividend growh rae. If raional expecaions of fuure discoun raes and dividend growh vary over ime, so should he D/P raio. Since
More informationSolutions to Odd Number Exercises in Chapter 6
1 Soluions o Odd Number Exercises in 6.1 R y eˆ 1.7151 y 6.3 From eˆ ( T K) ˆ R 1 1 SST SST SST (1 R ) 55.36(1.7911) we have, ˆ 6.414 T K ( ) 6.5 y ye ye y e 1 1 Consider he erms e and xe b b x e y e b
More informationDEPARTMENT OF STATISTICS
A Tes for Mulivariae ARCH Effecs R. Sco Hacker and Abdulnasser Haemi-J 004: DEPARTMENT OF STATISTICS S-0 07 LUND SWEDEN A Tes for Mulivariae ARCH Effecs R. Sco Hacker Jönköping Inernaional Business School
More informationFinancial Econometrics Jeffrey R. Russell Midterm Winter 2009 SOLUTIONS
Name SOLUTIONS Financial Economerics Jeffrey R. Russell Miderm Winer 009 SOLUTIONS You have 80 minues o complee he exam. Use can use a calculaor and noes. Try o fi all your work in he space provided. If
More informationDynamic linkages between Thai and international stock markets
Universiy of Wollongong Research Online Faculy of Commerce - Papers (Archive) Faculy of Business 2007 Dynamic linkages beween Thai and inernaional sock markes Abbas Valadkhani Universiy of Wollongong,
More informationImpact of International Information Technology Transfer on National Productivity. Online Supplement
Impac of Inernaional Informaion Technology Transfer on Naional Prouciviy Online Supplemen Jungsoo Park Deparmen of Economics Sogang Universiy Seoul, Korea Email: jspark@sogang.ac.kr, Tel: 82-2-705-8697,
More information- The whole joint distribution is independent of the date at which it is measured and depends only on the lag.
Saionary Processes Sricly saionary - The whole join disribuion is indeenden of he dae a which i is measured and deends only on he lag. - E y ) is a finie consan. ( - V y ) is a finie consan. ( ( y, y s
More informationTesting for Convergence and Common Features in Savings Ratios in the countries. of the CARICOM Single Market and Economy: A Time Series Approach
Tesing for Convergence and Common Feaures in Savings Raios in he counries of he CARICOM Single Marke and Economy: A Time Series Approach Nlandu Mamingi 1. Inroducion Deparmen of Economics Universiy of
More informationVolume 30, Issue 3. Are Real Exchange Rates Nonlinear with a Unit Root? Evidence on Purchasing Power Parity for China: A Note
Volume 30, Issue 3 Are Real Exchange Raes Nonlinear wih a Uni Roo? Evidence on Purchasing Power Pariy for China: A Noe sangyao Chang Deparmen of Finance, Feng Chia Universiy, aichung, aiwan Su-yuan Lin
More informationSupplementary Appendix for. Version: February 3, 2014
Supplementary Appendix for When Do Governments Resort to Election Violence? Version: February 3, 2014 This appendix provides supplementary information not included in the published draft. Supplementary
More informationThe General Linear Test in the Ridge Regression
ommunicaions for Saisical Applicaions Mehods 2014, Vol. 21, No. 4, 297 307 DOI: hp://dx.doi.org/10.5351/sam.2014.21.4.297 Prin ISSN 2287-7843 / Online ISSN 2383-4757 The General Linear Tes in he Ridge
More informationLong-Term Demand Prediction using Long-Run Equilibrium Relationship of Intrinsic Time-Scale Decomposition Components
Proceedings of he 2012 Indusrial and Sysems Engineering Research Conference G. Lim and J.W. Herrmann, eds. Long-Term Demand Predicion using Long-Run Equilibrium Relaionship of Inrinsic Time-Scale Decomposiion
More informationA Dynamic Model of Economic Fluctuations
CHAPTER 15 A Dynamic Model of Economic Flucuaions Modified for ECON 2204 by Bob Murphy 2016 Worh Publishers, all righs reserved IN THIS CHAPTER, OU WILL LEARN: how o incorporae dynamics ino he AD-AS model
More informationThe Properties of Procedures Dealing with Uncertainty about Intercept and Deterministic Trend in Unit Root Testing
CESIS Elecronic Working Paper Series Paper No. 214 The Properies of Procedures Dealing wih Uncerainy abou Inercep and Deerminisic Trend in Uni Roo Tesing R. Sco Hacker* and Abdulnasser Haemi-J** *Jönköping
More informationA Point Optimal Test for the Null of Near Integration. A. Aznar and M. I. Ayuda 1. University of Zaragoza
A Poin Opimal es for he Null of Near Inegraion A. Aznar and M. I. Ayuda Universiy of Zaragoza he objecive of his paper is o derive a poin opimal es for he null hypohesis of near inegraion (PONI-es). We
More informationA STRUCTURAL VECTOR ERROR CORRECTION MODEL WITH SHORT-RUN AND LONG-RUN RESTRICTIONS
199 THE KOREAN ECONOMIC REVIEW Volume 4, Number 1, Summer 008 A STRUCTURAL VECTOR ERROR CORRECTION MODEL WITH SHORT-RUN AND LONG-RUN RESTRICTIONS KYUNGHO JANG* We consider srucural vecor error correcion
More informationA Hybrid Model for Improving. Malaysian Gold Forecast Accuracy
In. Journal of Mah. Analysis, Vol. 8, 2014, no. 28, 1377-1387 HIKARI Ld, www.m-hikari.com hp://dx.doi.org/10.12988/ijma.2014.45139 A Hybrid Model for Improving Malaysian Gold Forecas Accuracy Maizah Hura
More informationOBJECTIVES OF TIME SERIES ANALYSIS
OBJECTIVES OF TIME SERIES ANALYSIS Undersanding he dynamic or imedependen srucure of he observaions of a single series (univariae analysis) Forecasing of fuure observaions Asceraining he leading, lagging
More informationUniversity of Wollongong Economics Working Paper Series 2007
Universiy of Wollongong Economics Working aper Series 2007 hp://www.uow.edu.au/commerce/econ/wpapers.hml An Empirical Analysis of he Thai and Major Inernaional Sock Markes Surachai Chanchara and Abbas
More informationReal Exchange Rate Behavior: Evidence From Malaysia, Singapore, and Thailand. Kit Soon Tan, Lan Thi Phuong Nguyen
Economics World, Ocober 2015, Vol. 3, No. 9-10, 195-208 doi: 10.17265/2328-7144/2015.0910.001 D DAVID PUBLISHING Real Exchange Rae Behavior: Evidence From Malaysia, Singapore, and Thailand Ki Soon Tan,
More informationCointegration and Implications for Forecasting
Coinegraion and Implicaions for Forecasing Two examples (A) Y Y 1 1 1 2 (B) Y 0.3 0.9 1 1 2 Example B: Coinegraion Y and coinegraed wih coinegraing vecor [1, 0.9] because Y 0.9 0.3 is a saionary process
More informationOn Structural Breaks and Nonstationary Fractional. Intergration in Time Series
European Journal of Business and Managemen ISSN -1905 (Paper) ISSN -839 (Online) Vol 4, No.5, 01 www.iise.org On Srucural Breaks and Nonsaionary Fracional Inergraion in Time Series Olanrewaju I. Shiu 1
More informationTime series Decomposition method
Time series Decomposiion mehod A ime series is described using a mulifacor model such as = f (rend, cyclical, seasonal, error) = f (T, C, S, e) Long- Iner-mediaed Seasonal Irregular erm erm effec, effec,
More informationA note on spurious regressions between stationary series
A noe on spurious regressions beween saionary series Auhor Su, Jen-Je Published 008 Journal Tile Applied Economics Leers DOI hps://doi.org/10.1080/13504850601018106 Copyrigh Saemen 008 Rouledge. This is
More informationBox-Jenkins Modelling of Nigerian Stock Prices Data
Greener Journal of Science Engineering and Technological Research ISSN: 76-7835 Vol. (), pp. 03-038, Sepember 0. Research Aricle Box-Jenkins Modelling of Nigerian Sock Prices Daa Ee Harrison Euk*, Barholomew
More informationA multivariate labour market model in the Czech Republic 1. Jana Hanclová Faculty of Economics, VŠB-Technical University Ostrava
A mulivariae labour marke model in he Czech Republic Jana Hanclová Faculy of Economics, VŠB-Technical Universiy Osrava Absrac: The paper deals wih an exisence of an equilibrium unemploymen-vacancy rae
More informationDynamic relationship between stock return, trading volume, and volatility in the Stock Exchange of Thailand: does the US subprime crisis matter?
MPRA Munich Personal RePEc Archive Dynamic relaionship beween sock reurn, rading volume, and volailiy in he Sock Exchange of Thailand: does he US subprime crisis maer? Komain Jiranyakul Naional Insiue
More informationNonstationary Time Series Data and Cointegration
ECON 4551 Economerics II Memorial Universiy of Newfoundland Nonsaionary Time Series Daa and Coinegraion Adaped from Vera Tabakova s noes 12.1 Saionary and Nonsaionary Variables 12.2 Spurious Regressions
More informationEVALUATING FORECASTING MODELS FOR UNEMPLOYMENT RATES BY GENDER IN SELECTED EUROPEAN COUNTRIES
Inerdisciplinary Descripion of Complex Sysems 15(1), 16-35, 217 EVALUATING FORECASTING MODELS FOR UNEMPLOYMENT RATES BY GENDER IN SELECTED EUROPEAN COUNTRIES Ksenija Dumičić*, Berislav Žmuk and Ania Čeh
More informationTesting Fiscal Reaction Function in Iran: An Application of Nonlinear Dickey-Fuller (NDF) Test
Iran. Econ. Rev. Vol. 1, No. 3, 17. pp. 567-581 Tesing Fiscal Reacion Funcion in Iran: An Applicaion of Nonlinear Dickey-Fuller (NDF) Tes Ahmad Jafari Samimi* 1, Saeed Karimi Peanlar, Jalal Monazeri Shoorekchali
More informationEcon107 Applied Econometrics Topic 7: Multicollinearity (Studenmund, Chapter 8)
I. Definiions and Problems A. Perfec Mulicollineariy Econ7 Applied Economerics Topic 7: Mulicollineariy (Sudenmund, Chaper 8) Definiion: Perfec mulicollineariy exiss in a following K-variable regression
More informationFinal Exam. Tuesday, December hours
San Francisco Sae Universiy Michael Bar ECON 560 Fall 03 Final Exam Tuesday, December 7 hours Name: Insrucions. This is closed book, closed noes exam.. No calculaors of any kind are allowed. 3. Show all
More informationSTRUCTURAL CHANGE IN TIME SERIES OF THE EXCHANGE RATES BETWEEN YEN-DOLLAR AND YEN-EURO IN
Inernaional Journal of Applied Economerics and Quaniaive Sudies. Vol.1-3(004) STRUCTURAL CHANGE IN TIME SERIES OF THE EXCHANGE RATES BETWEEN YEN-DOLLAR AND YEN-EURO IN 001-004 OBARA, Takashi * Absrac The
More informationQuarterly ice cream sales are high each summer, and the series tends to repeat itself each year, so that the seasonal period is 4.
Seasonal models Many business and economic ime series conain a seasonal componen ha repeas iself afer a regular period of ime. The smalles ime period for his repeiion is called he seasonal period, and
More informationUNIVERSITY OF OSLO DEPARTMENT OF ECONOMICS
UNIVERSITY OF OSLO DEPARTMENT OF ECONOMICS Exam: ECON4325 Moneary Policy Dae of exam: Tuesday, May 24, 206 Grades are given: June 4, 206 Time for exam: 2.30 p.m. 5.30 p.m. The problem se covers 5 pages
More informationTÁMOP /2/A/KMR
ECONOMIC STATISTICS ECONOMIC STATISTICS Sonsored by a Gran TÁMOP-4..2-08/2/A/KMR-2009-004 Course Maerial Develoed by Dearmen of Economics, Faculy of Social Sciences, Eövös Loránd Universiy Budaes (ELTE)
More informationFourier Transformation on Model Fitting for Pakistan Inflation Rate
Fourier Transformaion on Model Fiing for Pakisan Inflaion Rae Anam Iqbal (Corresponding auhor) Dep. of Saisics, Gov. Pos Graduae College (w), Sargodha, Pakisan Tel: 92-321-603-4232 E-mail: anammughal343@gmail.com
More informationForecast of Adult Literacy in Sudan
Journal for Sudies in Managemen and Planning Available a hp://inernaionaljournalofresearch.org/index.php/jsmap e-issn: 2395-463 Volume 1 Issue 2 March 215 Forecas of Adul Lieracy in Sudan Dr. Elfarazdag
More informationDoes socio-economic indicator influent ICT variable? II. Method of data collection, Objective and data gathered
Does socio-economic indicator influent ICT variable? I. Introduction This paper obtains a model of relationship between ICT indicator and macroeconomic indicator in a country. Modern economy paradigm assumes
More informationSchool and Workshop on Market Microstructure: Design, Efficiency and Statistical Regularities March 2011
2229-12 School and Workshop on Marke Microsrucure: Design, Efficiency and Saisical Regulariies 21-25 March 2011 Some mahemaical properies of order book models Frederic ABERGEL Ecole Cenrale Paris Grande
More informationIdentification of Trends and Cycles in Economic Time Series. by Bora Isik
Idenificaion of Trends and Cycles in Economic Time Series by Bora Isik An Honours essay submied o Carleon Universiy in fulfillmen of he requiremens for he course ECON 498, as credi oward he degree of Bachelor
More informationWednesday, November 7 Handout: Heteroskedasticity
Amhers College Deparmen of Economics Economics 360 Fall 202 Wednesday, November 7 Handou: Heeroskedasiciy Preview Review o Regression Model o Sandard Ordinary Leas Squares (OLS) Premises o Esimaion Procedures
More informationThe general Solow model
The general Solow model Back o a closed economy In he basic Solow model: no growh in GDP per worker in seady sae This conradics he empirics for he Wesern world (sylized fac #5) In he general Solow model:
More information