scholarly journals A PORTMANTEAU TEST FOR CORRELATION IN SHORT PANELS

2019 ◽  
Vol 36 (6) ◽  
pp. 1159-1166
Author(s):  
Koen Jochmans

Inoue and Solon (2006, Econometric Theory 22, 835–851) presented a test against serial correlation of arbitrary form in fixed-effect models for short panel data. Implementing the test requires choosing a regularization parameter that may severely affect power and for which no optimal selection rule is available. We present a modified version of their test that does not require any regularization parameter. Asymptotic power calculations illustrate the improvement of our procedure. An extension of the approach that accommodates dynamic models is also provided.

2007 ◽  
Vol 137 (1) ◽  
pp. 230-244 ◽  
Author(s):  
Stefan De Wachter ◽  
Richard D.F. Harris ◽  
Elias Tzavalis

2020 ◽  
Vol 1 (2) ◽  
pp. 105-113
Author(s):  
Nina Andriana

 The purpose of this study is to investigate the Fund Budget andCapital Expenditure on Regional Independence. The sample ithis study was taken by purposive sampling from 150districts/cities within four years-period. The study uses paneldata. Data is taken from the official website of the DirectoratGeneral of Fiscal Balance. The author uses multiple regressiowith the fixed effect method that is processed with STATA. Thresults showed that: (1) the General Allocation Fund does nosignificantly influence regional independence. (2) SpeciaAllocation Fund has a significant influence on regionaindependence. (3) Revenue Sharing Fund does not significantinfluence on regional independence. (4) Capital expenditure haa positive coefficient but does not significantly affect regionaindependence. (5) General Allocation Fund, Special AllocatioFund, Revenue Sharing Fund and Capital Expenditursimultaneously have a significant influence on regionaindependence.Penelitian ini bertujuan untuk menginvestigasi pengaruhdana perimbangan dan Belanja Modal terhadapKemandirian Daerah. Sampel dalam penelitian inidiperoleh secara purposive sampling dari 150kabupaten/kota dalam jangka waktu 4 tahun. Penelitianmenggunakan data panel. Data diambil dari situs resmiDirektorat Jenderal Perimbangan Keuangan. Penulismenggunakan regresi berganda dengan fixed effect methodyang diolah dengan STATA. Hasil penelitian menunjukkanbahwa: (1) Dana Alokasi Umum tidak signifikan berpengaruhterhadap kemandirian daerah. (2) Dana Alokasi Khususmempunyai pengaruh signifikan terhadap kemandirian daerah.(3) Dana Bagi Hasil tidak berpengaruh secara signifikanterhadap kemandirian daerah. (4) Belanja Modal mempunyaikoefisien positif namun tidak signifikan mempengaruhikemandirian daerah. (5) Dana Alokasi Umum, Dana AlokasiKhusus, Dana Bagi Hasil, dan Belanja Modal secara simultanmempunyai pengaruh yang signifikan terhadap kemandiriandaerah. 


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Eman Almehdawe ◽  
Saqib Khan ◽  
Manish Lamsal ◽  
Angèle Poirier

PurposeThe purpose of this paper is to identify the factors that affect the Canadian credit unions' financial performance which play an important role in providing financial services to the agriculture sector.Design/methodology/approachWe surveyed the literature to identify different performance metrics of credit unions and a set of possible factors that might affect their performance. We collected data related to different dependent and independent variables from financial statements and balance sheets of 189 credit unions and from general websites like Statistics Canada and Bank of Canada. Then, we imputed the missing data and developed fixed effect and random effect panel data regression models. First, we used return on asset as the main dependent variable. Afterwards, we used six performance metrics to check the robustness of our models.FindingsFrom an initial list of 16 possible factors that might affect the financial performance of a credit union, we were able to narrow the factors down to the nine most significant ones. It was observed that credit unions in the prairies were more likely to perform well financially as compared to other provinces. Membership size, the size of a credit union in terms of total assets, capital adequacy ratio, market penetration, diversification of income, inflation rate and provincial GDP and interest rates were significant. The cross-sectional analysis performed confirmed the findings of the fixed effect panel data models.Research limitations/implicationsThis study has a limitation concerning the number of years included into the time series analysis. Only ten years worth of data were available.Practical implicationsResults provide credit union management, service providers for credit unions and market analysts with a current understanding of how different internal and external factors might affect return on assets, return on equity, delinquency, cash ratio, efficiency ratio, asset growth and loan growth. Our models can be used to predict financial performance of credit unions based on the defined significant variables.Originality/valueAlthough there is a wide body of literature that studies performance of banks, not many studies focus on credit unions. Moreover, the existing studies are based on credit unions in United States or Europe, and literature on Canadian credit unions is scarce. The data collected covered 189 Canadian credit unions. To our knowledge this is the first study that looks at the various internal, external and regulatory factors together that affect the credit unions in various jurisdictions of Canada.


2002 ◽  
Vol 10 (1) ◽  
pp. 25-48 ◽  
Author(s):  
Gregory Wawro

Panel data are a very valuable resource for finding empirical solutions to political science puzzles. Yet numerous published studies in political science that use panel data to estimate models with dynamics have failed to take into account important estimation issues, which calls into question the inferences we can make from these analyses. The failure to account explicitly for unobserved individual effects in dynamic panel data induces bias and inconsistency in cross-sectional estimators. The purpose of this paper is to review dynamic panel data estimators that eliminate these problems. I first show how the problems with cross-sectional estimators arise in dynamic models for panel data. I then show how to correct for these problems using generalized method of moments estimators. Finally, I demonstrate the usefulness of these methods with replications of analyses in the debate over the dynamics of party identification.


2020 ◽  
Vol 4 (3) ◽  
pp. 183-194
Author(s):  
Ahmad Zaky Zamani

Despite the fact that majority of countries in the world rely heavily on tax revenue, there is a vast difference in terms of tax collection performance. This study reassessed several structural, economic, demographic and institutional factors that potentially explain the variation. We employ pooled OLS, fixed effect and system GMM estimations to analyze a panel data of 161 countries for 15 years spanning from 2002 to 2017. Our findings confirmed that level of development and investment are among key factors that leads to revenue improvement. It is very likely that such a relationship has two-way directions. Other factors such as trade openness, inflation, share of agriculture and national resources in the economy, population, and governance, cannot be downplayed despite its mixed inferences.


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