• 제목/요약/키워드: Wald test

검색결과 70건 처리시간 0.025초

중고령자의 은퇴 만족 유형과 삶의 만족도 : 성별에 따른 차이를 중심으로 (Types of Retirement Satisfaction and Life Satisfaction among Middle and Older Adults: Focusing on Gender Differences)

  • 조규영;전혜정;이은지
    • 한국산학기술학회논문지
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    • 제20권4호
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    • pp.371-381
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    • 2019
  • 본 연구는 은퇴를 주로 부정적인 생애사건으로 분류하였던 기존 인식에서 벗어나 보다 긍정적인 관점에서 다루고자 하였다. 취업자를 참조집단으로 하여, 은퇴자의 은퇴 만족 여부(만족 은퇴, 불만족 은퇴)가 삶의 만족도에 어떠한 영향을 미치는지를 살펴보고, 성별에 따른 차이를 검증하였다. 연구대상은 1~2차년도 고령화연구패널조사(KLoSA) 참여자 중 45세 이상의 취업자 1,886명, 은퇴자 723명으로 총 2,609명이며, 은퇴자는 1~2차년도 지속적 불만족 은퇴자와 만족 은퇴자로 구분하였다. 연구방법은 SPSS 21.0을 사용한 중다회귀분석을 실시하였으며, 남녀 집단 간 차이를 보다 명확히 하기위해 성별에 따른 회귀계수의 차이를 Mplus 7.3을 사용하여 다집단 분석(Multi-Group Analysis)을 통해 검증한 뒤, Wald-Test를 실시하였다. 본 연구결과에 따르면, 불만족 은퇴자와 만족 은퇴자의 삶의 만족도는 상반되는 것으로 나타났다. 즉, 은퇴에 불만족할 경우 취업자보다 삶의 만족도는 낮은 반면, 은퇴에 만족할 경우 오히려 취업자보다도 삶의 만족도가 높다는 결과가 도출되었다. 또한, 남녀 모두 불만족 은퇴자는 취업자보다 삶의 만족도가 낮았고, 이 효과는 여성에게서 더 큰 것으로 나타났다. 그러나 여성의 경우 만족 은퇴자의 삶의 만족도는 취업자보다 높은 반면, 남성의 경우 이러한 영향력이 유의미하다는 증거가 발견되지 않았다. 본 연구결과를 바탕으로 은퇴자 집단의 이질성 및 생애과정에서의 성차에 대한 논의가 이루어졌다.

로짓모형의 비모수적 추론의 비교 (Comparison of Some Nonparametric Statistical Inference for Logit Model)

  • 정형철;김대학
    • 응용통계연구
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    • 제15권2호
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    • pp.355-366
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    • 2002
  • 범주형 자료의 구조파악에 주로 이용되는 로짓모형에서 비모수적 방법을 이용한 모수의 신뢰구간추정과 가설검정 등의 통계적 추론에 대하여 살펴보았다. 모수에 대한 통계적 추론에서 정규분포에 근거한 모수적 방법(Wald 방법)보다는 붓스트랩 방법이나 임의순열을 활용한 비모수적 방법이 많이 활용되고 있다. 본 연구에서는 로짓모형의 모수에 대한 비모수적 추론방법으로 붓스트랩(bootstrap)과 임의순열(random permutation)의 두 방법을 고려하고 모의실험을 통하여 가설검정의 검정력과 신뢰구간추정의 포함확률을 비교하였고 사례분석을 다루었다.

Sampling Inspection Plans for Defect

  • Jeong, Jeong-Im;Cho, Gyo-Young
    • Journal of the Korean Data and Information Science Society
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    • 제15권4호
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    • pp.867-877
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    • 2004
  • The sequential sampling inspection method is an extension of the multiple-sampling methods, and its theory is based on the sequential probability ratio test (SPRT) of Wald. In this paper, the characteristics of SPRT for testing the number of defects are approximated by using the estimated excess over the boundaries. The use of the estimated excess shows good performances in estimating the operating characteristic function and the average sample number of SPRT compared to the method by neglecting the excess. It also makes it possible to determine the boundary values which satisfy the desired error probabilities.

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An Introduction to Logistic Regression: From Basic Concepts to Interpretation with Particular Attention to Nursing Domain

  • Park, Hyeoun-Ae
    • 대한간호학회지
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    • 제43권2호
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    • pp.154-164
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    • 2013
  • Purpose: The purpose of this article is twofold: 1) introducing logistic regression (LR), a multivariable method for modeling the relationship between multiple independent variables and a categorical dependent variable, and 2) examining use and reporting of LR in the nursing literature. Methods: Text books on LR and research articles employing LR as main statistical analysis were reviewed. Twenty-three articles published between 2010 and 2011 in the Journal of Korean Academy of Nursing were analyzed for proper use and reporting of LR models. Results: Logistic regression from basic concepts such as odds, odds ratio, logit transformation and logistic curve, assumption, fitting, reporting and interpreting to cautions were presented. Substantial shortcomings were found in both use of LR and reporting of results. For many studies, sample size was not sufficiently large to call into question the accuracy of the regression model. Additionally, only one study reported validation analysis. Conclusion: Nursing researchers need to pay greater attention to guidelines concerning the use and reporting of LR models.

Non-identifiability and testability of missing mechanisms in incomplete two-way contingency tables

  • Park, Yousung;Oh, Seung Mo;Kwon, Tae Yeon
    • Communications for Statistical Applications and Methods
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    • 제28권3호
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    • pp.307-314
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    • 2021
  • We showed that any missing mechanism is reproduced by EMAR or MNAR with equal fit for observed likelihood if there are non-negative solutions of maximum likelihood equations. This is a generalization of Molenberghs et al. (2008) and Jeon et al. (2019). Nonetheless, as MCAR becomes a nested model of MNAR, a natural question is whether or not MNAR and MCAR are testable by using the well-known three statistics, LR (Likelihood ratio), Wald, and Score test statistics. Through simulation studies, we compared these three statistics. We investigated to what extent the boundary solution affect tesing MCAR against MNAR, which is the only testable pair of missing mechanisms based on observed likelihood. We showed that all three statistics are useful as long as the boundary proximity is far from 1.

The Impact of Foreign Exchange Rates on International Travel: The Case of South Korea

  • Lee, Jung-Wan
    • 유통과학연구
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    • 제10권9호
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    • pp.5-11
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    • 2012
  • Purpose - The objective of the paper is to explain both the price sensitivity of international tourists to South Korea and the price sensitivity of Korean tourists to international travel. The study examines long-run equilibrium relationships and Granger causal relationships between foreign exchange rates and inbound and outbound tourism demand in South Korea. Research design/ data / methodology - The study employs monthly time series data from January 1990 to September 2010. The paper examines the long-run equilibrium relationship using the Johansen cointegration test approach after unit root tests. The short-run Granger causality was tested using the vector error correction model with the Wald test. Results - Hypothesis 1 testing whether there is a long-run equilibrium relationship between exchange rates, inbound and outbound tourism demand is supported. Hypothesis 2 testing whether exchange rates lead to a change in touristarrivals and expenditure is not supported. Hypothesis 3 testing whether exchange rates lead to a change in tourist departures and expenditure is supported. Conclusions - The findings of this study show that the impacts of tourism price competitiveness are changing quite significantly with regard to destination competitiveness. In other words, the elasticity of tourism price over tourism demand has been moderated.

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금융시장 전염 동적 검정 (Dynamic analysis of financial market contagion)

  • 이희수;김태윤
    • 응용통계연구
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    • 제29권1호
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    • pp.75-83
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    • 2016
  • 본 연구에서는 금융시장 통합화에 따른 금융 시장 전염을 생물학적 전염개념에 기초하여 분석하는 검정 방법론을 제시하였다. 금융 시장 통합화를 측정하기 위하여 U-통계량을 사용하였고, 금융 시장 전염 검정을 위하여 단일방정식 오차수정 모형을 중심으로 잠재 요인모형, 분위수 회귀모형과 런검정을 사용하였다. 시뮬레이션결과 단일방정식 오차수정 모형이 자기상관을 갖는 오차항을 포함한 선형 회귀모형에서 비교적 높은 수준의 적합도를 일관성 있게 보여 주고 있다.

Dynamics of Crude Oil and Real Exchange Rate in India

  • ALAM, Md. Shabbir;UDDIN, Mohammed Ahmar;JAMIL, Syed Ahsan
    • The Journal of Asian Finance, Economics and Business
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    • 제7권12호
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    • pp.123-129
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    • 2020
  • This scholarly work is an effort to capture the effects of oil prices on the actual exchange rate between dollar and rupee. This is done with reference to the U.S. dollar as oil prices are marked in USD (U.S. Dollar) in the international market, and India is among the top five importers of oil. Using monthly data from January 2001 to May 2020. The study used the real GDP, money supply, short-term interest rate difference between two countries, and inflation apart from the crude oil prices per barrel as the factors that help define the exchange rate. The analysis, through cointegration and vector error correction method (VECM), suggests long and short-run causality amid prices of oil and the rate of exchange fluctuations. Oil prices are found to be negatively related to the exchange rate in the long term but positively related in the short term. The result of the Wald test also indicates the short-run causation from the short-term interest rate and the prices of crude oil towards the exchange rate. The present study shows that oil prices are evidence of the existence of short-term and long-term driving associations with short-term interest rates and exchange rates.

Updated confidence intervals for the COVID-19 antibody retention rate in the Korean population

  • Kamruzzaman, Md.;Apio, Catherine;Park, Taesung
    • Genomics & Informatics
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    • 제18권4호
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    • pp.45.1-45.5
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    • 2020
  • With the ongoing rise of coronavirus disease 2019 (COVID-19) pandemic across the globe, interests in COVID-19 antibody testing, also known as a serology test has grown, as a way to measure how far the infection has spread in the population and to identify individuals who may be immune. Recently, many countries reported their population based antibody titer study results. South Korea recently reported their third antibody formation rate, where it divided the study between the general population and the young male youths in their early twenties. As previously stated, these simple point estimates may be misinterpreted without proper estimation of standard error and confidence intervals. In this article, we provide an updated 95% confidence intervals for COVID-19 antibody formation rate for the Korean population using asymptotic, exact and Bayesian statistical estimation methods. As before, we found that the Wald method gives the narrowest interval among all asymptotic methods whereas mid p-value gives the narrowest among all exact methods and Jeffrey's method gives the narrowest from Bayesian method. The most conservative 95% confidence interval estimation shows that as of 00:00 November 23, 2020, at least 69,524 people were infected but not confirmed. It also shows that more positive cases were found among the young male in their twenties (0.22%), three times that of the general public (0.051%). This thereby calls for the quarantine authorities' need to strengthen quarantine managements for the early twenties in order to find the hidden infected people in the population.

The COVID-19 Pandemic and Instability of Stock Markets: An Empirical Analysis Using Panel Vector Error Correction Model

  • ABDULRAZZAQ, Yousef M.;ALI, Mohammad A.;ALMANSOURI, Hesham A.
    • The Journal of Asian Finance, Economics and Business
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    • 제9권4호
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    • pp.173-183
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    • 2022
  • The objective of this research is to examine the influence of the COVID-19 pandemic on stock markets in a few developing and developed countries. This study uses daily data from January 2020 to May 2021 and obtained from World Health Organization and Thomson Reuters. The secondary data was evaluated through panel econometric methodology that includes different unit root tests, and to analyze the long-run relationship between variables, panel cointegration techniques were applied. The long-run causality among variables was examined through Panel Vector Error Correction Model. The overall findings of this study suggest a long-run association exists between several cases and death with the stock returns of the GCC and other stock markets. Furthermore, the VECM model also identified a long-run causality running from COVID cases and death towards the stock rerun of both sets of stock markets. However, a subsequent Wald test yielded mixed results, indicating no short-run causality between cases and deaths and stock returns in both groups; however, in the case of GCC, several COVID-19 cases are having a causal impact on stock markets, which is notable in light of the fact that the death rate in GCC is significantly lower than in many developed and developing countries.