Lampiran 1. Data PDB, Pengeluaran Pemerintah, jumlah uang beredar, pajak, dan tingkat suku bunga
|
|
|
- Gwenda Williamson
- 5 years ago
- Views:
Transcription
1 Lampiran 1. Data PDB, Pengeluaran Pemerintah, jumlah uang beredar, pajak, dan tingkat suku bunga obs PDB(milyar) GOV(milyar) M1(milyar) Tax(milyar) R(%) , , ,00 289,70 6, , , , ,40 6, , , , ,30 6, , , , ,50 6, , , , ,80 19, , , , ,90 18, , , , ,90 16, , , , ,70 15, , , , ,80 18, , , , ,10 18, , , , ,90 17, , , , ,30 19, , , , ,50 22, , , , ,10 17, , , , ,10 13, , , , ,30 13, , , , ,90 17, , , , ,90 17, , , , ,20 16, , , , ,00 25, , , , ,50 22, , , , ,90 13, , , , ,50 16, , , , ,10 13, , , , ,80 8, , , , ,00 12, , , , ,30 12, , , , ,00 8, 60 Keterangan : PDB = Produk Domestik Bruto Gov = Pengeluaran Pemerintah M1 = Jumlah Uang Beredar Tax = Pajak R = Tingkat Suku Bunga
2 Lampiran 2. Hasil Olahan Data System: UNTITLED Estimation Method: Two-Stage Least Squares Date: 05 /14/09 Time: 23:27 Sample: Instruments: C TAX GOV R Coefficient Std. Error t-statistic Prob. C(1) C(2) C(3) C(4) C(5) C(6) C(7) Determinant residual cov ariance 9.19E+16 Equation: PDB=C(1)+C(2)*TAX+C(3)*GOV+C(4)*M1 Obser vations: R-sq uared Mean dependen t var Adjusted R-squared S.D. depend ent var S.E. of regression Sum squared resid 9.50E+10 Durbin-Watson stat Equation: M1=C(5)+C(6)*PDB+C(7)*R Observations: R-squared Mean dependent var Adjusted R-squared S.D. dependent var S.E. of regression Sum squared resid 1.98E+09 Durbin-Watson stat
3 Lampiran 3. Hasil Uji ADF Test Data Pengeluaran Pemerintah ADF Test Statistic % Critical Value* Dependent Variable: D(GOV) Date: 05/14/09 Time: 23:42 Included observations: 25 after adjusting endpoints GOV(-1) D(GOV(-1)) D(GOV(-2)) C R-squared Mean dependent var Adjusted R-squared S.D. dependent var S.E. of regression Akaike info criterion Sum squared resid 3.01E+10 Schwarz criterion Log likelihood F-statistic Durbin-Watson stat Prob(F-statistic)
4 Lampiran 4. Hasil Uji ADF Test Data Uang Beredar ADF Test Statistic % Critical Value* Dependent Variable: D(M1) Date: 05/14/09 Time: 23:44 Included observat ions: 25 after adjusting endpoints M1(-1) D(M1(-1)) D(M1(-2)) C R-squared Mean dependent var Adjusted R-squared S.D. dependent var S.E. of regression Akaike info criterion Sum squared resid 2.36E+09 Schwarz cr iterion Log likelihood F-statistic Durbin-Watson stat Prob(F-statistic)
5 Lampiran 5. Hasil Uji Test Data Produk Domestik Bruto ADF Test Statistic % Critical Value* Dependent Variable: D(PDB) Date: 05/14/09 Time: 23:45 Included observations: 25 after adjusting endpoints PDB(-1) D(PDB(-1)) D(PDB(-2)) C R-squared Mean dependent var Adjusted R-squared S.D. dependent var S.E. of regression Akaike info criterion Sum squared resid 1.20E+11 Schwarz criterion Log likelihood F-statistic Durbin-Watson stat Prob(F-statistic)
6 Lampiran 6. Hasil Uji ADF Test Data Tingkat Suku Bunga ADF Test Statistic % Critical Value* Dependent Variable: D(R) Date: 05/14/09 Time: 23:46 Included observations: 25 after adjusting endpoints R(-1) D(R(-1)) D(R(-2)) C R-squared Mean dependent var Adjusted R-squared S.D. dependent var S.E. of regression Akaike info criterion Sum squared resid Schwarz criterion Log likelihood F-statistic Durbin-Watson stat Prob(F-statistic)
7 94 Lampiran 7. Hasil Uji ADF Test Data Pajak ADF Test Statistic % Critical Value* Dependent Variable: D(TAX) Date: 05/14/09 Time: 23:47 Included observations: 25 after adjusting endpoints TAX(-1) D(TAX(-1)) D(TAX(-2)) C R-squared Mean dependent var Adjusted R-squared S.D. dependent var S.E. of regression Akaike info criterion Sum squared resid 2.16E+09 Schwarz criterion Log likelihood F-statistic Durbin-Watson stat Prob(F-statistic)
8 95 Lampiran 8. Correlation Matrix GOV TAX GOV TAX
DATA VARIABEL PENELITIAN
68 LAMPIRAN 1 DATA VARIABEL PENELITIAN TAHUN FDI SBI PDRB UNEMP. EXPORT 1983 1834,40 12,74 5915,37 821257 10649,82 1984 1507,08 13,45 6372,17 878380 12455,86 1985 2263,20 13,82 6884,81 857564 10719,35
esia/perkembangan/
http://afghanaus.com/uanggiral/http://www.bi.go.id/web/id/sistem+pembayaran/sistem+pembayaran+di+indon esia/perkembangan/ http://id.shvoong.com/social-sciences/economics/2129762-jumlah-uang-beredar-diindonesia/
Hasil Common Effect Model
Hasil Common Effect Model Date: 05/11/18 Time: 06:20 C 21.16046 1.733410 12.20742 0.0000 IPM -25.74125 2.841429-9.059263 0.0000 FDI 9.11E-11 1.96E-11 4.654743 0.0000 X 0.044150 0.021606 2.043430 0.0425
Lampiran 1. Data Penelitian
LAMPIRAN Lampiran 1. Data Penelitian Tahun Impor PDB KURS DEVISA 1985 5.199,00 2.118.215,40 1.125,00 5.811,00 1986 5.825,00 2.242.661,60 1.641,00 5.841,00 1987 7.209,00 2.353.133,40 1.650,00 5.103,00 1988
LAMPIRAN. Lampiran I
67 LAMPIRAN Lampiran I Data Volume Impor Jagung Indonesia, Harga Impor Jagung, Produksi Jagung Nasional, Nilai Tukar Rupiah/USD, Produk Domestik Bruto (PDB) per kapita Tahun Y X1 X2 X3 X4 1995 969193.394
LAMPIRAN LAMPIRAN. = Pengeluaran Konsumsi Masyarakat (milyar rupiah) = Jumlah Uang Beredar (milyar rupiah) = Laju Inflasi (dalam persentase)
76 LAMPIRAN LAMPIRAN 1. Data Skripsi TAHUN PK JUB INFLASI SB PDB 1995 727099.1 52677 8.64 16.8 1344994.6 1996 806170.0 64089 6.47 17.25 1450148.8 1997 850241.3 78343 11.05 20.33 1518304.1 1998 807112.0
Lampiran 1 : Grafik Data HIV Asli
Lampiran 1 : Grafik Data HIV Asli 70 60 50 Penderita 40 30 20 10 2007 2008 2009 2010 2011 Tahun HIV Mean 34.15000 Median 31.50000 Maximum 60.00000 Minimum 19.00000 Std. Dev. 10.45057 Skewness 0.584866
Lampiran 1. Tabulasi Data
Lampiran 1. Tabulasi Data Tahun PDRB PDRBt-1 PAD BH DAU INF 2001:1 372696.65 372696.65 1005.61 2684.67 26072.42 0.87 2001:4 376433.52 372696.65 1000.96 2858.50 28795.27 1.08 2001:8 387533.83 376433.52
LAMPIRAN PERHITUNGAN EVIEWS
LAMPIRAN PERHITUNGAN EVIEWS DESCRIPTIVE PK PDRB TP TKM Mean 12.22450 10.16048 14.02443 12.63677 Median 12.41945 10.09179 14.22736 12.61400 Maximum 13.53955 12.73508 15.62581 13.16721 Minimum 10.34509 8.579417
Lampiran 1. Data Penelitian
Lampiran 1. Data Penelitian Tahun 2008 2009 2010 Suku bunga ORI Inflasi BI Rate IHSG Bulan Deposito Rupiah % % Poin % Mei 93,00 10,38 8,25 2444,35 7,04 Jun 90,50 11,03 8,50 2349,10 7,26 Jul 90,50 11,90
Appendixes Appendix 1 Data of Dependent Variables and Independent Variables Period
Appendixes Appendix 1 Data of Dependent Variables and Independent Variables Period 1-15 1 ROA INF KURS FG January 1,3,7 9 -,19 February 1,79,5 95 3,1 March 1,3,7 91,95 April 1,79,1 919,71 May 1,99,7 955
Kabupaten Langkat Suku Bunga Kredit. PDRB harga berlaku
Lampiran 1. Data Penelitian Tahun Konsumsi Masyarakat PDRB harga berlaku Kabupaten Langkat Suku Bunga Kredit Kredit Konsumsi Tabungan Masyarkat Milyar Rp. Milyar Rp. % Milyar Rp. Milyar Rp. 1990 559,61
LAMPIRAN-LAMPIRAN. A. Perhitungan Return On Asset
88 LAMPIRAN-LAMPIRAN A. Perhitungan Return On Asset Tahun Perusahaan Laba Bersih Total Aset Laba/Total Aset ROA (% ) 2011 ROA_ADRO 5006470 51315458 0,09756261 9,76 ROA_AKRA 2284080 8308244 0,274917299
LAMPIRAN. Lampiran 1. Wilayah Tahun PAD JOW PDRB JH JR Yogyakarta
LAMPIRAN Lampiran 1 Data jumlah PAD sektor pariwisata, Jumlah Obyek Wisata, PDRB, Jumlah Hotel, dan Jumlah Restoran dan rumah makan di kabupaten/kota Daerah Istimewa Yogyakarta, Tahun 2010-2015 Wilayah
Appendix. Table A.1 (Part A) The Author(s) 2015 G. Chakrabarti and C. Sen, Green Investing, SpringerBriefs in Finance, DOI /
Appendix Table A.1 (Part A) Dependent variable: probability of crisis (own) Method: ML binary probit (quadratic hill climbing) Included observations: 47 after adjustments Convergence achieved after 6 iterations
DATA PENELITIAN. Pendapatan Nasional (PDB Perkapita atas Dasar Harga Berlaku) Produksi Bawang Merah Indonesia MB X1 X2 X3 X4 X5 X6
Lampiran 1 Tahu n Volume Impor Bawang Merah Konsums i Bawang Merah Perkapit a di Indonesi a DATA PENELITIAN Pendapatan Nasional (PDB Perkapita atas Dasar Harga Berlaku) Produksi Bawang Merah Indonesia
LAMPIRAN. Null Hypothesis: LO has a unit root Exogenous: Constant Lag Length: 1 (Automatic based on SIC, MAXLAG=13)
74 LAMPIRAN Lampiran 1 Analisis ARIMA 1.1. Uji Stasioneritas Variabel 1. Data Harga Minyak Riil Level Null Hypothesis: LO has a unit root Lag Length: 1 (Automatic based on SIC, MAXLAG=13) Augmented Dickey-Fuller
Lampiran I Data. PDRB (Juta Rupiah) PMA (Juta Rupiah) PMDN (Juta Rupiah) Tahun. Luas Sawit (ha)
LAMPIRAN Lampiran I Data Tahun PDRB (Juta Rupiah) PMDN (Juta Rupiah) PMA (Juta Rupiah) Luas Sawit (ha) Angkatan Kerja (Jiwa) 1986 24698580 84581 8438 19733 1237717 1987 26991625 106279 10128 22122 1243818
LAMPIRAN 1. Retribusi (ribu Rp)
LAMPIRAN 1 Kabupaten Kulonprogo Bantul Gunung Kidul Tahun Retribusi (ribu Rp) Obyek Wisata Wisatawan PDRB (juta Rp) 2001 6694566 8 227250 3486573.5 2002 7779217 11 211529 3630220.3 2003 9247557 7 190333
LAMPIRAN. Tahun Bulan NPF (Milyar Rupiah)
LAMPIRAN Lampiran 1 Data Penelitian Non Performing Financing (NPF), Capital Adequacy Ratio (CAR), Financing to Deposit Ratio (FDR), Biaya Operasional Pendapatan Operasional (BOPO), Ukuran Bank (Size) Tahun
Economics 442 Macroeconomic Policy (Spring 2015) 3/23/2015. Instructor: Prof. Menzie Chinn UW Madison
Economics 442 Macroeconomic Policy (Spring 2015) 3/23/2015 Instructor: Prof. Menzie Chinn UW Madison Outline Models of Investment Assessment Uncertainty http://www.bostonfed.org/economic/neer/neer2001/neer201a.pdf
LAMPIRAN. A. Data. PAD (juta) INVESTASI (%) PDRB (juta) Kulon Progo. Bantul. Gunung Kidul. Sleman
82 LAMPIRAN A. Data Kabupaten Kulon Progo Bantul Gunung Kidul Sleman Tahun PDRB (juta) PAD (juta) INVESTASI (%) TINGKAT PENGANGGURAN (%) 2007 4.455.556 33.129.460 0 4.34 2008 4.665.308 36.188.575 1.82
Export and Import Regressions on 2009Q1 preliminary release data Menzie Chinn, 23 June 2009 ( )
Export and Import Regressions on 2009Q1 preliminary release data Menzie Chinn, 23 June 2009 ( mchinn@lafollette.wisc.edu ) EXPORTS Nonagricultural real exports, regressand; Real Fed dollar broad index
Lampiran 1 Lampiran 1 Data Keuangan Bank konvensional
Lampiran 1 Lampiran 1 Data Keuangan Bank konvensional BANK YEAR Z-Score TOTAL ASET (milyar rupiah) ROA (%) NPL (%) BI RATE (%) KURS (rupiah) BNI 1.9 5.51.9 1.9.5 919.5 11 7.71 99.5.9.17 915.7 1 7.7 333.3.9.
FIN 533. Autocorrelations of CPI Inflation
FIN 533 Inflation & Interest Rates Fama (1975) AER: Expected real interest rates are (approximately) constant over time, so: E(r t F t-1 ) = R t E(r) where E(r t F t-1 ) is expected inflation given information
Openness and Inflation
Openness and Inflation Based on David Romer s Paper Openness and Inflation: Theory and Evidence ECON 5341 Vinko Kaurin Introduction Link between openness and inflation explored Basic OLS model: y = β 0
Brief Sketch of Solutions: Tutorial 2. 2) graphs. 3) unit root tests
Brief Sketch of Solutions: Tutorial 2 2) graphs LJAPAN DJAPAN 5.2.12 5.0.08 4.8.04 4.6.00 4.4 -.04 4.2 -.08 4.0 01 02 03 04 05 06 07 08 09 -.12 01 02 03 04 05 06 07 08 09 LUSA DUSA 7.4.12 7.3 7.2.08 7.1.04
UJI COMMON EFFECT MODEL
UJI COMMON EFFECT MODEL Dependent Variable: LOG(TKI) Method: Panel Least Squares Date: 05/01/18 Time: 12:34 Sample: 2010 2016 Periods included: 7 Total panel (balanced) observations: 210 Variable Coefficient
BEcon Program, Faculty of Economics, Chulalongkorn University Page 1/7
Mid-term Exam (November 25, 2005, 0900-1200hr) Instructions: a) Textbooks, lecture notes and calculators are allowed. b) Each must work alone. Cheating will not be tolerated. c) Attempt all the tests.
1. A test of the theory is the regression, since no arbitrage implies, Under the null: a = 0, b =1, and the error e or u is unpredictable.
Aggregate Seminar Economics 37 Roger Craine revised 2/3/2007 The Forward Discount Premium Covered Interest Rate Parity says, ln( + i) = ln( + i*) + ln( F / S) i i* f s t+ the forward discount equals the
Brief Sketch of Solutions: Tutorial 1. 2) descriptive statistics and correlogram. Series: LGCSI Sample 12/31/ /11/2009 Observations 2596
Brief Sketch of Solutions: Tutorial 1 2) descriptive statistics and correlogram 240 200 160 120 80 40 0 4.8 5.0 5.2 5.4 5.6 5.8 6.0 6.2 Series: LGCSI Sample 12/31/1999 12/11/2009 Observations 2596 Mean
Fall 2004 Social Sciences 7418 University of Wisconsin-Madison Problem Set 5 Answers
Economics 310 Menzie D. Chinn Fall 2004 Social Sciences 7418 University of Wisconsin-Madison Problem Set 5 Answers This problem set is due in lecture on Wednesday, December 15th. No late problem sets will
LAMPIRAN. Variable Coefficient Std. Error t-statistic Prob.
LAMPIRAN A. Hasil Pengujian Eviews 1. Common effect Dependent Variable: K? Method: Pooled Least Squares Date: 10/25/17 Time: 12:23 Sample: 2011 2015 Included observations: 5 Cross-sections included: 38
Notes on the Treasury Yield Curve Forecasts. October Kara Naccarelli
Notes on the Treasury Yield Curve Forecasts October 2017 Kara Naccarelli Moody s Analytics has updated its forecast equations for the Treasury yield curve. The revised equations are the Treasury yields
Santi Chaisrisawatsuk 16 November 2017 Thimpu, Bhutan
Regional Capacity Building Workshop Formulating National Policies and Strategies in Preparation for Graduation from the LDC Category: Macroeconomic Modelling for SDGs in Asia and the Pacific Santi Chaisrisawatsuk
Monetary Economics Portfolios Risk and Returns Diversification and Risk Factors Gerald P. Dwyer Fall 2015
Monetary Economics Portfolios Risk and Returns Diversification and Risk Factors Gerald P. Dwyer Fall 2015 Reading Chapters 11 13, not Appendices Chapter 11 Skip 11.2 Mean variance optimization in practice
LAMPIRAN. Universitas Sumatera Utara
LAMPIRAN 99 Lampiran 1 Daftar Sampel Penelitian No Kode Nama Reksadana Tanggal Diluncurkan 1 BIIDINA AXA Citradinamis 05-08-1997 2 NISP Abeerdeen Indonesia Equity Fund 27-12-2007 3 000D1B BNI-AM Dana Berkembang
The Relationship Between Internet Marketing, Search Volume, and Product Sales. Honors Research Thesis
TheRelationshipBetweenInternetMarketing,SearchVolume,andProductSales HonorsResearchThesis Presentedinpartialfulfillmentoftherequirementsforgraduationwithhonors researchdistinctionineconomicsintheundergraduatecollegesoftheohiostate
Donald Trump's Random Walk Up Wall Street
Donald Trump's Random Walk Up Wall Street Research Question: Did upward stock market trend since beginning of Obama era in January 2009 increase after Donald Trump was elected President? Data: Daily data
BYLAAG: E-VIEWS RESULTATE VAN DIE MODEL VAN VOORRAADINVESTERING IN SUID-AFRIKA
BYLAAG: E-VIEWS RESULTATE VAN DIE MODEL VAN VOORRAADINVESTERING IN SUID-AFRIKA 1 Die langtermynskatting 1.1 Resultate van die skatting Dependent Variable: LOG(I) Sample: 1986:1 2002:4 Included observations:
THE DETERMINANT OF INFLATION IN INDONESIA: PARTIAL ADJUSTMENT MODEL APPROACH
Jurnal Ekonomi & Studi Pembangunan Volume 19, Nomor 2, Oktober 2018, hlm. 157-166 DOI: 10.18196/jesp.19.2.5007 THE DETERMINANT OF INFLATION IN INDONESIA: PARTIAL ADJUSTMENT MODEL APPROACH Yosefina Don
Financial Econometrics: Problem Set # 3 Solutions
Financial Econometrics: Problem Set # 3 Solutions N Vera Chau The University of Chicago: Booth February 9, 219 1 a. You can generate the returns using the exact same strategy as given in problem 2 below.
Supplementary Materials for
www.sciencemag.org/content/344/6186/851/suppl/dc1 Supplementary Materials for Income Inequality in the Developing World Martin Ravallion This PDF file includes: Fig. S1 Tables S1 to S4 E-mail: mr1185@georgetown.edu
Business Survey and Short-Term Projection
JOINT EUROPEAN COMMISSION OECD WORKSHOP ON INTERNATIONAL DEVELOPMENT OF BUSINESS AND CONSUMER TENDENCY SURVEYS BRUSSELS 14 15 NOVEMBER 25 Business Survey and Short-Term Projection Edita Holickova Statistical
Economy May Wake Up Without Consumers Prodding? Chart 1
Northern Trust Global Economic Research 0 South LaSalle Chicago, Illinois 3 northerntrust.com Paul L. Kasriel plk1@ntrs.com Economy May Wake Up Without Consumers Prodding? May 21, 27 In today s (May 21)
Memo on the Determinants of Central Bank Euro Holdings by Menzie Chinn 1 UC Santa Cruz
Memo on the Determinants of Central Bank Euro Holdings by Menzie Chinn 1 UC Santa Cruz May 30, 1999 (minor revisions June 8, 2000) Summary: Results from regressions using (i) GDP ratios expressed relative
POLYTECHNIC OF NAMIBIA SCHOOL OF MANAGEMENT SCIENCES DEPARTMENT OF ACCOUNTING, ECONOMICS AND FINANCE ECONOMETRICS. Mr.
POLYTECHNIC OF NAMIBIA SCHOOL OF MANAGEMENT SCIENCES DEPARTMENT OF ACCOUNTING, ECONOMICS AND FINANCE COURSE: COURSE CODE: ECONOMETRICS ECM 312S DATE: NOVEMBER 2014 MARKS: 100 TIME: 3 HOURS NOVEMBER EXAMINATION:
Photovoltaic deployment: from subsidies to a market-driven growth: A panel econometrics approach
Photovoltaic deployment: from subsidies to a market-driven growth: A panel econometrics approach Anna Créti, Léonide Michael Sinsin To cite this version: Anna Créti, Léonide Michael Sinsin. Photovoltaic
Per Capita Housing Starts: Forecasting and the Effects of Interest Rate
1 David I. Goodman The University of Idaho Economics 351 Professor Ismail H. Genc March 13th, 2003 Per Capita Housing Starts: Forecasting and the Effects of Interest Rate Abstract This study examines the
1.4 Show the steps necessary to obtain relative PPP in growth rates.
Kiel Institut für Weltwirthschaft Advanced Studies in International Economic Policy Research Spring 2005 Menzie D. Chinn Problem Set 1 Answers Exchange Rate Economics 1. Purchasing power parity. 1.1 Write
23571 Introductory Econometrics Assignment B (Spring 2017)
23571 Introductory Econometrics Assignment B (Spring 2017) You must attach the coversheet to your answers. Read the instructions on the coversheet. Try to keep your answers short and clear. This assignment
ملحق رقم (1) بیانات الدراسة :
ملحق رقم (1) بیانات الدراسة : السنة EX G POP INF GDP UE 0.045 778.28 23079 67.4 110.1 16.4 1990 0.81 947.13 230780 122.5 192.7 15.9 1991 1.133 4388.24 24494 119.2 421.8 15.4 1992 0.216 5573.6 25222 101.2
Methods for A Time Series Approach to Estimating Excess Mortality Rates in Puerto Rico, Post Maria 1 Menzie Chinn 2 August 10, 2018 Procedure:
Methods for A Time Series Approach to Estimating Excess Mortality Rates in Puerto Rico, Post Maria 1 Menzie Chinn 2 August 10, 2018 Procedure: Estimate relationship between mortality as recorded and population
Übungsblatt 4. Please examine below OLS estimation results for the log earnings of Egyptian wage workers and answer the below questions:
Universität Ulm 89069 Ulm Germany M.Sc. Zein Kasrin Institut für Wirtschaftspolitik Fakultät für Mathematik und Wirtschaftswissenschaften Ludwig-Erhard-Stiftungsprofessur Sommersemester 2016 Übung zur
Econometric Models for the Analysis of Financial Portfolios
Econometric Models for the Analysis of Financial Portfolios Professor Gabriela Victoria ANGHELACHE, Ph.D. Academy of Economic Studies Bucharest Professor Constantin ANGHELACHE, Ph.D. Artifex University
Appendices. Appendix 1 Buy ranges for each portfolio
Appendices Appendix 1 Buy ranges for each portfolio 67 Appendix 2 Every recession declared by the NBER Source: The National Bureau of Economic Research 68 Appendix 3 Multifactor portfolio mathematics Mathematics
Influence of Macroeconomic Indicators on Mutual Funds Market in India
Influence of Macroeconomic Indicators on Mutual Funds Market in India KAVITA Research Scholar, Department of Commerce, Punjabi University, Patiala (India) DR. J.S. PASRICHA Professor, Department of Commerce,
Anexos. Pruebas de estacionariedad. Null Hypothesis: TES has a unit root Exogenous: Constant Lag Length: 0 (Automatic - based on SIC, maxlag=9)
Anexos Pruebas de estacionariedad Null Hypothesis: TES has a unit root Augmented Dickey-Fuller test statistic -1.739333 0.4042 Test critical values: 1% level -3.610453 5% level -2.938987 10% level -2.607932
IMPACT OF MACROECONOMIC VARIABLE ON STOCK MARKET RETURN AND ITS VOLATILITY
7 IMPACT OF MACROECONOMIC VARIABLE ON STOCK MARKET RETURN AND ITS VOLATILITY 7.1 Introduction: In the recent past, worldwide there have been certain changes in the economic policies of a no. of countries.
SUSTAINABILITY PLANNING POLICY COLLECTING THE REVENUES OF THE TAX ADMINISTRATION
2007 2008 2009 2010 Year IX, No.12/2010 127 SUSTAINABILITY PLANNING POLICY COLLECTING THE REVENUES OF THE TAX ADMINISTRATION Prof. Marius HERBEI, PhD Gheorghe MOCAN, PhD West University, Timişoara I. Introduction
الملحق رقم (1): یوضح متغیرات النموذج.
الملحق رقم (1): یوضح متغیرات النموذج. obs سعر الصرف (ER) الا ستھلاك (O) السكان (POP) التضخم (INF) الادخار (S) الدخل المتاح (YD) 1985 15947 0.025 46.33 20882-1459.6 14487.4 1986 19362.5 0.025 29.04 21085-604.8
9. Assessing the impact of the credit guarantee fund for SMEs in the field of agriculture - The case of Hungary
Lengyel I. Vas Zs. (eds) 2016: Economics and Management of Global Value Chains. University of Szeged, Doctoral School in Economics, Szeged, pp. 143 154. 9. Assessing the impact of the credit guarantee
ijcrb.webs.com INTERDISCIPLINARY JOURNAL OF CONTEMPORARY RESEARCH IN BUSINESS AUGUST 2012 VOL 4, NO 4
IMPORTANCE OF INVESTMENT FOR ECONOMIC GROWTH: EVIDENCE FROM PAKISTAN Najid Ahmad*, Muhammad luqman**, Muhammad Farhat Hayat* *Bahauddin Zakariya University, Multan, Sub-Campus Dera Ghazi Khan, Pakistan
ANALYSIS OF CORRELATION BETWEEN THE EXPENSES OF SOCIAL PROTECTION AND THE ANTICIPATED OLD AGE PENSION
ANALYSIS OF CORRELATION BETWEEN THE EXPENSES OF SOCIAL PROTECTION AND THE ANTICIPATED OLD AGE PENSION Nicolae Daniel Militaru Ph. D Abstract: In this article, I have analysed two components of our social
An Investigation of Effective Factors on Export in Iran
J. Basic. Appl. Sci. Res., 2(4)4092-4097, 2012 2012, TextRoad Publication ISSN 2090-4304 Journal of Basic and Applied Scientific Research www.textroad.com An Investigation of Effective Factors on Export
Chapter 2 Macroeconomic Analysis and Parametric Control of Equilibrium States in National Economic Markets
Chapter 2 Macroeconomic Analysis and Parametric Control of Equilibrium States in National Economic Markets Conducting a stabilization policy on the basis of the results of macroeconomic analysis of a functioning
Conflict of Exchange Rates
MPRA Munich Personal RePEc Archive Conflict of Exchange Rates Rituparna Das and U R Daga 2004 Online at http://mpra.ub.uni-muenchen.de/22702/ MPRA Paper No. 22702, posted 17. May 2010 13:37 UTC Econometrics
Chapter-3. Sectoral Composition of Economic Growth and its Major Trends in India
Chapter-3 Sectoral Composition of Economic Growth and its Major Trends in India This chapter deals with the first objective of the study, that is to evaluate the sectoral composition of economic growth
COTTON: PHYSICAL PRICES BECOMING MORE RESPONSIVE TO FUTURES PRICES0F
INTERNATIONAL COTTON ADVISORY COMMITTEE 1629 K Street NW, Suite 702, Washington DC 20006 USA Telephone +1-202-463-6660 Fax +1-202-463-6950 email secretariat@icac.org COTTON: PHYSICAL PRICES BECOMING 1
RESEARCH ON INFLUENCING FACTORS OF RURAL CONSUMPTION IN CHINA-TAKE SHANDONG PROVINCE AS AN EXAMPLE.
335 RESEARCH ON INFLUENCING FACTORS OF RURAL CONSUMPTION IN CHINA-TAKE SHANDONG PROVINCE AS AN EXAMPLE. Yujing Hao, Shuaizhen Wang, guohua Chen * Department of Mathematics and Finance Hunan University
THE IMPACT OF BANKING RISKS ON THE CAPITAL OF COMMERCIAL BANKS IN LIBYA
THE IMPACT OF BANKING RISKS ON THE CAPITAL OF COMMERCIAL BANKS IN LIBYA Azeddin ARAB Kastamonu University, Turkey, Institute for Social Sciences, Department of Business Abstract: The objective of this
Employment growth and Unemployment rate reduction: Historical experiences and future labour market outcomes
Mar-03 Sep-03 Mar-04 Sep-04 Mar-05 Sep-05 Mar-06 Sep-06 Mar-07 Sep-07 Mar-08 Sep-08 Mar-09 Sep-09 Mar-10 Sep-10 Mar-11 Sep-11 Mar-12 Employment Unemployment Rate Employment growth and Unemployment rate
Factor Affecting Yields for Treasury Bills In Pakistan?
Factor Affecting Yields for Treasury Bills In Pakistan? Masood Urahman* Department of Applied Economics, Institute of Management Sciences 1-A, Sector E-5, Phase VII, Hayatabad, Peshawar, Pakistan Muhammad
Analysis of the Influence of the Annualized Rate of Rentability on the Unit Value of the Net Assets of the Private Administered Pension Fund NN
Year XVIII No. 20/2018 175 Analysis of the Influence of the Annualized Rate of Rentability on the Unit Value of the Net Assets of the Private Administered Pension Fund NN Constantin DURAC 1 1 University
Financial Risk, Liquidity Risk and their Effect on the Listed Jordanian Islamic Bank's Performance
Financial Risk, Liquidity Risk and their Effect on the Listed Jordanian Islamic Bank's Performance Lina Hani Warrad Associate Professor, Accounting Department Applied Science Private University, Amman,
Back from the Dead: the GFC and the Resurrection of Long Term Unemployment
Back from the Dead: the GFC and the Resurrection of Long Term Unemployment Bruce Chapman* Crawford School of Economics and Government School Seminar Australian National University September 22 2009 * With
Empirical Analysis of Private Investments: The Case of Pakistan
2011 International Conference on Sociality and Economics Development IPEDR vol.10 (2011) (2011) IACSIT Press, Singapore Empirical Analysis of Private Investments: The Case of Pakistan Dr. Asma Salman 1
MEASUREMENT ON FIRST-MOMENT EXCHANGE RATE EXPOSURE AND SECOND-MOMENT SECTOR INDEX EXPOSURE (EVIDENCES FROM JAKARTA STOCK EXCHANGE) Presented by:
MEASUREMENT ON FIRST-MOMENT EXCHANGE RATE EXPOSURE AND SECOND-MOMENT SECTOR INDEX EXPOSURE (EVIDENCES FROM JAKARTA STOCK EXCHANGE) Presented by: Wista Amalia Narulita Mahartha Titi Artikel ini telah dimuat
Bi-Variate Causality between States per Capita Income and State Public Expenditure An Experience of Gujarat State Economic System
IOSR Journal of Business and Management (IOSR-JBM) e-issn: 2278-487X.Volume 8, Issue 5 (Mar. - Apr. 2013), PP 18-22 Bi-Variate Causality between States per Capita Income and State Public Expenditure An
On the Rand: A Note on the South African Exchange Rate.
1 st draft April 18, 2006 On the Rand: A Note on the South African Exchange Rate. Professor Jeffrey Frankel, Kennedy School of Government, Harvard University This work was done with the able research assistance
FBBABLLR1CBQ_US Commercial Banks: Assets - Bank Credit - Loans and Leases - Residential Real Estate (Bil, $, SA)
Notes on new forecast variables November 2018 Loc Quach Moody s Analytics added 11 new U.S. variables to its global model in November. The variables pertain mostly to bank balance sheets and delinquency
CHAPTER 5 MARKET LEVEL INDUSTRY LEVEL AND FIRM LEVEL VOLATILITY
CHAPTER 5 MARKET LEVEL INDUSTRY LEVEL AND FIRM LEVEL VOLATILITY In previous chapter focused on aggregate stock market volatility of Indian Stock Exchange and showed that it is not constant but changes
Forecasting the Philippine Stock Exchange Index using Time Series Analysis Box-Jenkins
EUROPEAN ACADEMIC RESEARCH Vol. III, Issue 3/ June 2015 ISSN 2286-4822 www.euacademic.org Impact Factor: 3.4546 (UIF) DRJI Value: 5.9 (B+) Forecasting the Philippine Stock Exchange Index using Time HERO
Muhammad Nasir SHARIF 1 Kashif HAMID 2 Muhammad Usman KHURRAM 3 Muhammad ZULFIQAR 4 1
Vol. 6, No. 4, October 2016, pp. 287 300 E-ISSN: 2225-8329, P-ISSN: 2308-0337 2016 HRMARS www.hrmars.com Factors Effecting Systematic Risk in Isolation vs. Pooled Estimation: Empirical Evidence from Banking,
ملحق رقم( 1 ): الا نحدار للدالة اللوغریثمیة للناتج المحلي الا جمالي
ملحق رقم( 1 ): الا نحدار للدالة اللوغریثمیة للناتج المحلي الا جمالي Dependent Variable: LOG(GDP) Date: 03/01/17 Time: 14:53 Sample(adjusted): 1971 2014 Included observations: 44 after adjusting endpoints
Estimation, Analysis and Projection of India s GDP
MPRA Munich Personal RePEc Archive Estimation, Analysis and Projection of India s GDP Ugam Raj Daga and Rituparna Das and Bhishma Maheshwari 2004 Online at https://mpra.ub.uni-muenchen.de/22830/ MPRA Paper
FACTORS AFFECTING QUASI MONEY AFTER THE 1998 ECONOMIC CRISIS IN INDONESIA
FACTORS AFFECTING QUASI MONEY AFTER THE 1998 ECONOMIC CRISIS IN INDONESIA Hastina Febriaty 1, Octavianni Mardyanty Ritonga 2 Fakultas Ekonomi dan Bisnis, Program Studi Ekonomi Pembangunan Universitas Muhammadiyah
Okun s Law - an empirical test using Brazilian data
Okun s Law - an empirical test using Brazilian data Alan Harper, Ph.D. Gwynedd Mercy University Zhenhu Jin, Ph.D. Valparaiso University ABSTRACT In this paper, we test Okun s coefficient to determine if
Lampiran 1 Daftar Perusahaan Manufaktur
Lampiran 1 Daftar Perusahaan Manufaktur No Kode Nama Perusahaan 1 MASA PT Multistrada Arah Sarana Tbk. 2 MERK PT Merck Tbk. 3 MLBI PT Multi Bintang Indonesia Tbk. 4 MLIA PT Mulia Industrindo Tbk. 5 MRAT
INFLUENCE OF CONTRIBUTION RATE DYNAMICS ON THE PENSION PILLAR II ON THE
INFLUENCE OF CONTRIBUTION RATE DYNAMICS ON THE PENSION PILLAR II ON THE EVOLUTION OF THE UNIT VALUE OF THE NET ASSETS OF THE NN PENSION FUND Student Constantin Durac Ph. D Student University of Craiova
Solution to Exercise E5.
Solution to Exercise E5. The Multiple Regression Model. Estimation. Exercise E5.1. Beach umbrella rental Part I. Simple Linear Regression Model. a. Regression model: U t = β 1 + β 2 T t + u t t = 1,...,
Estimating Egypt s Potential Output: A Production Function Approach
MPRA Munich Personal RePEc Archive Estimating Egypt s Potential Output: A Production Function Approach Osama El-Baz Economist, osamaeces@gmail.com 20 May 2016 Online at https://mpra.ub.uni-muenchen.de/71652/
TURKISH STOCK MARKET DEPENDENCY TO INTERNATIONAL MARKETS AND EXCHANGE RATE
TURKISH STOCK MARKET DEPENDENCY TO INTERNATIONAL MARKETS AND EXCHANGE RATE Mustafa Koray CETIN Business Administration Department, Akdeniz University, Antalya-Turkey kcetin@akdeniz.edu.tr Abstract: In
The 7 Smart Collaboration for Business in Technology and Information Industries 2016
th The 7 Smart Collaboration for Business in Technology and Information Industries 2016 THE INFLUENCE OF INTEREST INCOME, NON-INTEREST INCOME, AND INCOME DIVERSIFICATION ON RISK- ADJUSTED RETURN ON ASSET
THE FACTORS OF THE CAPITAL STRUCTURE IN EASTERN EUROPE PAUL GABRIEL MICLĂUŞ, RADU LUPU, ŞTEFAN UNGUREANU
THE FACTORS OF THE CAPITAL STRUCTURE IN EASTERN EUROPE PAUL GABRIEL MICLĂUŞ, RADU LUPU, ŞTEFAN UNGUREANU 432 Paul Gabriel MICLĂUŞ Radu LUPU Ştefan UNGUREANU Academia de Studii Economice, Bucureşti Key
The Study on Tax Incentive Policies of China's Photovoltaic Industry Jian Xu 1,a, Zhenji Jin 2,b,*
3rd International Conference on Science and Social Research (ICSSR 2014) The Study on Tax Incentive Policies of China's Photovoltaic Industry Jian Xu 1,a, Zhenji Jin 2,b,* 1,2 Department of Economics and
Empirical Research on Correlation Between Internal Control and Enterprise Value
Proceedings of the 8th International Conference on Innovation & Management 645 Empirical Research on Correlation Between Control and Enterprise Value Dai Chunlan, Peng Quan, Huang Jiating School of Management,
The Impacts of Financial Crisis on Pakistan Economy: An Empirical Approach
International Journal of Empirical Finance Vol. 4, No. 5, 2015, 258-269 The Impacts of Financial Crisis on Pakistan Economy: An Empirical Approach Khalid Mughal 1, Irfan Khan 2, Farhat Usman 3 Abstract
Journal of Chemical and Pharmaceutical Research, 2014, 6(6): Research Article
Available online www.jocpr.com Journal of Chemical and Pharmaceutical Research, 2014, 6(6):1179-1183 Research Article ISSN : 0975-7384 CODEN(USA) : JCPRC5 Empirical research on the bio-pharmaceutical listed
THE IMPACT OF OIL REVENUES ON BUDGET DEFICIT IN SELECTED OIL COUNTRIES
THE IMPACT OF OIL REVENUES ON BUDGET DEFICIT IN SELECTED OIL COUNTRIES Mohammadreza Monjazeb, Arezoo Choghayi and Masumeh Rezaee Economic department, University of Economic Sciences Abstract The purpose