• Title/Summary/Keyword: Panel Data

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Restricted maximum likelihood estimation of a censored random effects panel regression model

  • Lee, Minah;Lee, Seung-Chun
    • Communications for Statistical Applications and Methods
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    • v.26 no.4
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    • pp.371-383
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    • 2019
  • Panel data sets have been developed in various areas, and many recent studies have analyzed panel, or longitudinal data sets. Maximum likelihood (ML) may be the most common statistical method for analyzing panel data models; however, the inference based on the ML estimate will have an inflated Type I error because the ML method tends to give a downwardly biased estimate of variance components when the sample size is small. The under estimation could be severe when data is incomplete. This paper proposes the restricted maximum likelihood (REML) method for a random effects panel data model with a censored dependent variable. Note that the likelihood function of the model is complex in that it includes a multidimensional integral. Many authors proposed to use integral approximation methods for the computation of likelihood function; however, it is well known that integral approximation methods are inadequate for high dimensional integrals in practice. This paper introduces to use the moments of truncated multivariate normal random vector for the calculation of multidimensional integral. In addition, a proper asymptotic standard error of REML estimate is given.

Dual Generalized Maximum Entropy Estimation for Panel Data Regression Models

  • Lee, Jaejun;Cheon, Sooyoung
    • Communications for Statistical Applications and Methods
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    • v.21 no.5
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    • pp.395-409
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    • 2014
  • Data limited, partial, or incomplete are known as an ill-posed problem. If the data with ill-posed problems are analyzed by traditional statistical methods, the results obviously are not reliable and lead to erroneous interpretations. To overcome these problems, we propose a dual generalized maximum entropy (dual GME) estimator for panel data regression models based on an unconstrained dual Lagrange multiplier method. Monte Carlo simulations for panel data regression models with exogeneity, endogeneity, or/and collinearity show that the dual GME estimator outperforms several other estimators such as using least squares and instruments even in small samples. We believe that our dual GME procedure developed for the panel data regression framework will be useful to analyze ill-posed and endogenous data sets.

Availability and Problems of Panel Study: In Case of the 17th Presidential Election in Korea (패널조사의 유용성과 문제점 : 17대 대선자료를 대상으로)

  • Lee, Hyeon-Woo
    • Survey Research
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    • v.10 no.2
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    • pp.23-43
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    • 2009
  • The purpose of this paper is to explain characteristics of panel data and display the academic cases using panel data. Panel data have merit to control various variables to influence respondents' attitude and estimate the effects of independent variables researchers are interested in by surveying the same respondents several times. However, panel data also have problems such as contaminating the respondents and reducing the number of the respondents as survey conducted several times. In spite of a few inherent problems of panel data, informations that panel data provide are valuable and some research themes could not be possible without panel data. This paper investigates the relationship between interest in elections and voting. Electoral stimulation such as watching TV debates influences the consistent voting intended. But changing nonvoters who had voting intention but not vote are not influenced by the electoral stimulation.

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Traffic Accident Analysis of Link Sections Using Panel Data in the Case of Cheongju Arterial Roads (패널자료를 이용한 가로구간 교통사고분석 - 청주시 간선도로를 사례로 -)

  • Kim, Jun-Young;Na, Hee;Park, Byung-Ho
    • Journal of the Korean Society of Safety
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    • v.27 no.3
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    • pp.141-146
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    • 2012
  • This study deals with the accident model using panel data which are composed of time series data of 2005 through 2007 and cross sectional data of link sections in Cheongju. Panel data are repeatedly collected over time from the same sample. The purpose of the study is to develop the traffic accident model using the above panel data. In pursuing the above, this study gives particular attentions to deriving the optimal models among various models including TSCSREG (Time Series Cross Section Regression). The main results are as follows. First, 8 panel data models which explained the various effects of accidents were developed. Second, $R^2$ values of fixed effect models were analyzed to be higher than those of random effect models. Finally, such the variables as the sum of the number of crosswalk on intersections and sum of the number of intersections were analyzed to be positive to the accidents.

A Novel Air-Bridge Type Gate-Data Line Inter-Crossing to Reduce Signal Delay for Large Size AMLCD (대면적 AMLCD의 신호 지연 감소를 위해 Air-gap을 갖는 게이트-데이터 라인 교차 구조)

  • Park, Jin-Woo;Kang, Ji-Hoon;Lee, Min-Cheol;Han, Min-Koo
    • The Transactions of the Korean Institute of Electrical Engineers C
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    • v.48 no.12
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    • pp.768-772
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    • 1999
  • A new TFT-LCD panel with air-bridge type gate to data line inter-crossing has been proposed and its characteristics have been measured. The proposed structure has air-gap between gate and data line inter-crossing. This air-bridge TFT-LCD panel has very small capacitance between gate and data line. The new panes structure achieves 9 times fast signal propagation compared with conventional panel, which enables to have enough design margin for 20-inch diagonal and larger size UXGA panel. We have examined thermal and mechanical durability of new panel to verify applicability for commercial AMLCD production. After TEOS and polyimide passivation, this panel withstood a thermal stress at $250^{\circ}C$ and a mechanical stress during the rubbing process.

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Test of Homogeneity for Intermittent Panel AR(1) Processes and Application (간헐적인 패널 1차 자기회귀과정들의 동질성 검정과 적용)

  • Lee, Sung Duck;Kim, Sun Woo;Jo, Na Rae
    • The Korean Journal of Applied Statistics
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    • v.27 no.7
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    • pp.1163-1170
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    • 2014
  • The concepts and structure of intermittent panel time series data are introduced. We suggest a Wald test statistic for the test of homogeneity for intermittent panel first order autoregressive model and its limit distribution is derived. We consider the fitting the model with pooling data using sample mean at the time point if homogeneity for intermittent panel AR(1) is satisfied. We performed simulations to examine the limit distribution of the homogeneity test statistic for intermittent panel AR(1). In application, we fit the intermittent panel AR(1) for panel Mumps data and investigate the test of homogeneity.

Effects of Exchange Rate, GDP, ODI on Export to the East Asia: Application the Panel FMOLS Approach (환율, GDP, 해외직접투자가 한국의 대동아시아 수출에 미치는 영향: 패널 FMOLS기법의 적용)

  • Kim, Chang-Beom
    • International Commerce and Information Review
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    • v.14 no.3
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    • pp.307-322
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    • 2012
  • The purpose of this paper is to examine determinants of export to the East Asia region, using panel unit root, panel cointegration framework, panel VECM (vector error correction model), panel FMOLS (fully modified OLS). Different panel unit root tests confirm that the data series are integrated processes with unit roots. When applying cointegration tests to long-run effect for aggregate panel data, a primary concern is to construct the estimators in a way that does not constrain the transitional dynamics to be similar among different countries of the panel. The regression equations are estimated by various panel cointegration estimators. The panel data causality results reveal that exchange rates has unidirectional effects on export and GDP, and there exists bidirectional causality between export and GDP. Also, the results from the panel FMOLS tests overwhelmingly reject the null hypothesis of zero coefficient. The panel cointegrating vectors show that the export has positive relationship with the GDP and ODI (overseas direct investment).

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AN ANALYSIS OF THE AERODYNAMIC CHARACTERISTICS OF A T-50 CONFIGURATION USING A PANEL CODE AND ITS VALIDATION (패널코드를 이용한 T-50 형상의 공력특성 예측 및 검증)

  • Park, S.W.;Kim, D.J.;Je, S.E.;Myong, R.S.;Cho, T.H.
    • 한국전산유체공학회:학술대회논문집
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    • 2006.10a
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    • pp.131-135
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    • 2006
  • The aerodynamic characteristics of a T-50 aircraft configuration are investigated by a subsonic panel method. Panel methods are best applicable to the lifting surfaces such as wings and airfoils. Source and doublets are used in the present code as a basic singularities of the panel technique. The panel method is first assessed by applying it to several benchmark problems for which other solutions and experimental data are available, such as a swept wing and wing body configuration. The prediction results are compared with experimental data and show good agreement in all cases considered. Finally, the method is applied to a T-50 aircraft configuration and excellent agreement with flight test data in lift coefficients is found.

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Panel attrition factors in Korean Labor and Income Panel Study (한국노동패널 탈락 분석)

  • Lee, Sang-Hyeop;Park, Chan-Yong;Hye-Mi, Sung-Suk Chung;Choi, Hye-Mi
    • Journal of the Korean Data and Information Science Society
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    • v.22 no.1
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    • pp.1-8
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    • 2011
  • In panel studies in which the same respondents are interviewed repeatedly over the long term, panel attrition may cause the problems in the reliability of the result and the representativeness of the sample in panel study. In this article, we explore the risk factors of sample attrition in the first 11 waves of the Korean Labor and Income Panel Study (KLIPS) data covering the years 1998-2008, for which the survival analysis techniques such as life-table method and Cox proportional hazard model based on the time to the attrition of each respondent as the survival time of the respondent are applied.

Fiscal Causal Hypotheses and Panel Cointegration Analysis for Sustainable Economic Growth in ASEAN

  • MARIMUTHU, Maran;KHAN, Hanana;BANGASH, Romana
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.2
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    • pp.99-109
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    • 2021
  • This study aims to examine the causal links between the fiscal components, i.e., government expenditures (GE) and government revenues (GR), and their impact on the economic growth of the Association of Southeast Asian Nations (ASEAN) region. This analysis considered secondary panel data from 1990 to 2019 at an annual frequency. The data is obtained from the Asian Development Bank (ADB) and World Bank Database. A panel cointegration and panel DH causality (Dumitrescu and Hurlin) approach was employed on financial data at an annual frequency from 1990 to 2019. The findings from panel unit root and panel cointegration tests demonstrate that, at first, all the variables are stationary and cointegrated. The panel ARDL disclosed that GE has a long-run connection with GDP, is significantly and positively associated with economic growth in the long run, whereas GR is significant in the short run. The contribution of GE is high in sustaining economic growth as compared to GR. Also, cointegration regression disclosed that GE is more sensitive toward GDP, while GR is less elastic. Lastly, the findings reveal that bidirectional causality exists between GE and GR variables. These results have policy implications for sustainable economic growth in the ASEAN region.