Econometric modelling of Canadian long distance calling: A comparison of aggregate time series versus point-to-point panel data approaches

1992 ◽  
Vol 17 (1) ◽  
pp. 125-140 ◽  
Author(s):  
T. W. Appelbe ◽  
C. R. Dineen ◽  
D. L. Solvason ◽  
C. Hsiao
2017 ◽  
Vol 9 (4) ◽  
pp. 202
Author(s):  
Loice Koskei

Foreign portfolio inflows increase the liquidity and the volume of finance available for financial institutions. At the same time, as foreign portfolio inflows finances in part the capital requirements of local companies, it can also increase the competitiveness of these companies. A huge surge of the inflows can be very inflationary because this forces the Central Bank of Kenya to expand the country’s monetary base by releasing counterpart domestic currency which eventually feeds into the inflationary process. The main aim of this study was to find out the effect of international portfolio equity purchases on security returns of listed financial institutions in Kenya. The study population was 21 financial institutions listed on the Nairobi Securities Exchange. Using purposive sampling technique the study concentrated on 14 financial institutions. The research design of the study was causal as it is concerned more with understanding the connection between cause and effect relationships. The study adopted panel data regression using the Ordinary Least Squares (OLS) method where the data included time series and cross-sectional. A unit root test was carried in this study to examine stationarity of variables because it used panel data which combined both cross-sectional and time series information. Panel estimation results indicated that international portfolio equity purchases have no effect on stock returns of listed financial institutions in Kenya. The study recommended implementation of regulations and policies that would attract foreign portfolio equity inflows in financial institutions.


2000 ◽  
Vol 16 (6) ◽  
pp. 927-997 ◽  
Author(s):  
Hyungsik R. Moon ◽  
Peter C.B. Phillips

Time series data are often well modeled by using the device of an autoregressive root that is local to unity. Unfortunately, the localizing parameter (c) is not consistently estimable using existing time series econometric techniques and the lack of a consistent estimator complicates inference. This paper develops procedures for the estimation of a common localizing parameter using panel data. Pooling information across individuals in a panel aids the identification and estimation of the localizing parameter and leads to consistent estimation in simple panel models. However, in the important case of models with concomitant deterministic trends, it is shown that pooled panel estimators of the localizing parameter are asymptotically biased. Some techniques are developed to overcome this difficulty, and consistent estimators of c in the region c < 0 are developed for panel models with deterministic and stochastic trends. A limit distribution theory is also established, and test statistics are constructed for exploring interesting hypotheses, such as the equivalence of local to unity parameters across subgroups of the population. The methods are applied to the empirically important problem of the efficient extraction of deterministic trends. They are also shown to deliver consistent estimates of distancing parameters in nonstationary panel models where the initial conditions are in the distant past. In the development of the asymptotic theory this paper makes use of both sequential and joint limit approaches. An important limitation in the operation of the joint asymptotics that is sometimes needed in our development is the rate condition n/T → 0. So the results in the paper are likely to be most relevant in panels where T is large and n is moderately large.


Author(s):  
Sheila Ardilla Yughi
Keyword(s):  

ABSTRAKPenelitian ini berjudul “Perkembangan Intermediasi BPR di Wilayah Eks-Karesidenan Banyumas dan Faktor-Faktor yang Memengaruhinya Periode Tahun 2005-2011”. Tujuan dari penelitian ini adalah untuk mengetahui perkembanganan Loan to Deposit Ratio (LDR) pada Bank Perkreditan Rakyat (BPR) di wilayah Eks-Karesidenan Banyumas yang menunjukkan fungsi intermediasi BPR di wilayah Eks-Karesidenan Banyumas, untuk mengetahui pengaruh variabel BI rate, deposito, Produk Domestik Regional Bruto (PDRB), dan Non Performing Loan (NPL) baik secara bersama-sama maupun secara parsial terhadap intermediasi Bank Perkreditan Rakyat (BPR) di wilayah Eks-Karesidean Banyumas, dan untuk mengetahui variabel manakah yang paling berpengaruh besar terhadap intermediasi Bank Perkreditan Rakyat (BPR) di wilayah Eks-Karesidenan Banyumas.Metode penelitian yang digunakan adalah metode analisis kuantitatif menggunakan analisis trend dan analisis regresi non linier berganda data panel. Data yang digunakan merupakan data panel yaitu gabungan dari data time series dan data cross section, dan data yang digunakan merupakan data tahunan dari tahun 2005 sampai dengan tahun 2011 sehingga jumlah data sebanyak 28 pengamatan.Berdasarkan hasil uji regresi analisis data trend, perkembangan intermediasi yang dilihat dari besaran Loan to Deposit Ratio (LDR) menunjukkan perkembangan yang terus meningkat setiap tahunnya dan besaran LDR tersebut rata-rata sebesar 122 persen setiap tahunnya. Sedangkan berdasarkan hasil uji regresi linier berganda pada variabel dependen Loan to Deposit Ratio (LDR) BPR di wilayah Eks-Karesidenan Banyumas dapat diketahui variabel BI rate, deposito, Produk Domestik Regional Bruto (PDRB), dan Non Performing Loan (NPL) secara bersama-sama berpengaruh signifikan terhadap intermediasi BPR di wilayah Eks-Karesidenan Banyumas. Namun, secara parsial hanya variabel PDRB bernilai positif dan signifikan terhadap intermediasi BPR di wilayah Eks-Karesidenan Banyumas,dan variabel deposito berpengaruhsignifikan, namun bernilai negatif terhadap intermediasi BPR di wilayah Eks-Karesidenan Banyumas. Kata Kunci: Intermediasi, BPR, Eks-Karesidenan Banyumas.


2021 ◽  
pp. 106591292110544
Author(s):  
James A. Piazza

A necessary component of peaceful democratic rule is the willingness of election losers to accept election defeats. When politicians and parties acknowledge defeat in democratic elections, they reinforce the peaceful transition of power that sustains political order. When election losers in democracies reject election results, the public’s confidence in democratic institutions is weakened, grievances and polarization abound, and the potential for violent mobilization grows. In this environment, terrorist activity is more likely. I test this proposition using cross-national time series panel data and within-country public opinion data for a wide set of democracies. I find that democracies experience significantly more domestic terrorist casualties when election losers reject election results. Moreover, I find that public willingness to tolerate and justify terrorism as a tactic increases in democratic countries where election losers reject election results.


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