• Journal of Labour Economics
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• v.30 no.2
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• pp.1-31
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• 2007

The purpose of this paper is to analyse wage differentials between non-regular and regular works. Data from EAPS(Economically Active Population Survey) 2005 show that the monthly wage level of non-regular worker is only 63% of regular worker and thus there exist 37% wage differentials. However, these wage differentials do not control for hours of work, the amount of human capital, job characteristics, and other individual characteristics affecting wages. If these variables are added to the hourly wage regression equation, the wage gap between non-regular and regular workers drastically decreases to 2.2%. Furthermore, decomposition of the wage differentials by Oaxaca method shows that productivity difference between non-regular and regular workers explains up to 91% of the wage gap. This implies that the magnitude of wage discrimination against non-regular workers is at most 0.2% of hourly wage of regular workers. To control for unobserved individual heterogeneities more accurately, we also construct panel data and estimate wage differentials. The results from the panel data approach show that there is no difference in the hourly wages between non-regular and regular workers. In some specifications, the wage rate of non-regular worker is rather higher than that of regular worker. These results are consistent with economic theory. Other things being equal, workers with unstable employment may require higher wages to compensate their unstability. Firms are willing to pay higher wages if they can get more flexibility from non-regular employment. Empirical results in this paper cast doubt on the view that there is wage discrimination against non-regular workers in the labor market. Public policies should be targeted for disadvantaged groups among non-regular workers, not for non-regular workers in general.

• Environmental and Resource Economics Review
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• v.25 no.2
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• pp.199-228
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• 2016

This study investigates the effects of economic factors and forest environments on rural residential area development in seven north central states of the U.S. by focusing on the relative importance of not only economic factors but also forest environments by forest type as core drivers of residential development. An empirical model of locations and magnitudes of population changes since 1950 in the north central region is first constructed, and then a panel model with fixed effects for counties is used to explain population growth by age group over time at the county level. Then a set of three equations is estimated for three major age groups, and a cross-sectional model is estimated for the last time period that regresses county-level environmental amenity variables on fixed effects coefficients for counties. Finally, an equation explaining changes in rural housing density is estimated. The results imply that immigrant age is a key factor influencing the choice of the place of residence and that the effects of environmental amenity factors on population growth and subsequent housing development in a county vary according to the age group.

• Journal of the Korean Regional Science Association
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• v.35 no.2
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• pp.33-47
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• 2019

The purpose of this study is to examine the effect of urban decline on Subjective Well-being(SWB). According to the scale of the city, the municipal districts of Korea are classified into metropolitan cities, middle cities, and small cities. The SWB in the growth area, the maintenance area, and the declining area according to the degree of relative decline of each city group was examined. In addition, in order to consider the complex nature of urban decline, SWB was divided into overall life satisfaction, household income satisfaction, and housing environment satisfaction. Panel models were also used to identify the dynamic relationship between the progress of urban decay and the change in SWB. The empirical analysis of this study examined the effect of decline on the SWB for the local residents. As a result, it was confirmed that the effect of urban decline on the SWB of the residents varies according to the size of the city where the individual resides, according th the SWB by the division. In the case of metropolitan inhabitants, the decline of the housing environment of the residents due to deterioration of the physical environment was confirmed as a result of the decline of the city, but the overall life satisfaction was increased due to the decrease of the social costs such as congestion in an overcrowded area. On the contrary, in the case of the residents of the small cities, it is confirmed that the decline of the city reduces the overall life satisfaction, household income satisfaction, and housing environment satisfaction.

• Journal of Science Education
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• v.47 no.2
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• pp.211-224
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• 2023

The purpose of this study is to suggest how to investigate the reliability of the assessment, which consists of items generated by automatic item generation using empirical example data. To achieve this, we analyzed the illustrative assessment data by applying the multivariate generalizability theory, which can reflect the design of responding to different items for each student and multiple error sources in the assessment score. The result of the G-study showed that, in most designs, the student effect corresponding to the true score of the classical test theory was relatively large after residual effects. In addition, in the design where the content domain was fixed, the ranking of students did not change depending on the item types or items. Similarly, in the design where the item format was fixed, the difficulty showed little variation depending on the content domains. The result of the D-study indicated that the original assessment data achieved a sufficient level of reliability. It was also found that higher reliability than the original assessment data could be obtained by reducing the number of items in the content domains of operation, geometry, and probability and statistics, or by assigning higher weights to the domains of letters and formulas, and function. The efficient measurement conditions presented in this study are limited to the illustrative assessment data. However, the method applied in this study can be utilized to determine the reliability and to find efficient measurement conditions for the various assessment situations using automatic item generation based on measurement traits.

• Journal of the Korean Data and Information Science Society
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• v.20 no.2
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• pp.401-410
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• 2009

Due to the characteristics of 3 ${\times}$ 3 Latin square design which is composed of two block effects and one main effect, powers of rank transformed statistic for testing the main effect are very superior to powers of parametric statistic without regard to the type of population distributions. By order of when all three effects are fixed, when on one block effect is random, when two block effects are random, the rank transform statistic for testing the main effect shows relatively high powers as compared with the parametric statistic. Further when the size of main effect is big with one equivalent size of block effect and the other small size of block effect, powers of rank transformed statistic for testing the main effect demonstrate excellent advantage to powers of parametric statistic.

• Journal of the Korean Data and Information Science Society
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• v.27 no.4
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• pp.969-977
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• 2016

Climate change affects the growth of crops which were planted especially in fields, and it becomes more important to use climate data to predict the yields of the major vagetables. The variation of the crop products caused by climate change is one of the significant factors for the discrepancy of the demand and supply, and leads to the price instability. In this paper, using a panel regression model, we predicted the garlic yields with the weather conditions of different regions. More specifically we used the panel data of the several climate variables for 15 main garlic production areas from 2006 to 2015. Seven variables (average temperature, average maximum temperature, average minimum temperature, average surface temperature, cumulative precipitation, average relative humidity, cumulative duration time of sunshine) for each month were considered, and most significant 7 variables were selected from the total 84 variables by the stepwise regression. The random effects model was chosen by the Hausman test. The average maximum temperature (January), the cumulative precipitation (March, October), the cumulative duration time of sunshine (April, October) were chosen among the variables as the significant climate variables of the model

• The Journal of the Acoustical Society of Korea
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• v.40 no.6
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• pp.678-682
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• 2021

Reverberation Time (RT) with noise levels can affect speech recognition ability in a listening environment. The degree of influence may depend on reverberation times and modes of binaural hearing. In this study, Korean monosyllabic Word Recognition Scores (WRS) were investigated in 10 young normal hearing subjects under binaural conditions. The RT of 3.4 s and signal to noise ratio of 0 dB were used at 55 dB HL for diotic (noise with the same phase) and dichotic (noise with the fixed phase difference, π) conditions. The improvement in WRS was noted in dichotic hearing (p < 0.05) while the similar trend was not observed in diotic hearing. This data may be useful in analyzing psychoacoustic effects of RTs under noisy conditions.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.17 no.6
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• pp.89-104
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• 2022

Entrepreneurship by seniors who have accumulated skills and expertise in the industrial field is very important from a social point of view. This study aimed at seniors to find out the major start-up capabilities of seniors in an economic situation where instability factors and uncertainties are amplified due to the social structure of jobs that has changed due to COVID-19 during the 4th industrial revolution and the rapidly progressing high interest rates and global supply chain problems. The purpose of this study was to empirically verify how variables affect entrepreneurial intention. In addition, from the perspective of mindset, which is the individual psychological characteristic of pre-entrepreneurs, we tried to empirically verify whether growth mindset and fixed mindset have a significant effect on senior entrepreneurship intention. The psychological characteristics of founders were approached from the perspective of mindset, and an attempt was made to apply them to the field of entrepreneurship and to obtain practical implications. This study empirically analyzed the effects of growth mindset, fixed mindset, technical competency, network competency, and funding competency, which are components of mindset, on senior entrepreneurial intention, and verified the mediating effect of entrepreneurial efficacy. As a result of the empirical analysis, it was verified that growth mindset and technological competency had a positive (+) effect on entrepreneurial intention. In addition, it was verified that the mediating effect of entrepreneurial efficacy was significant in the influence of growth mindset and technological competency on entrepreneurial intention, and it was verified that growth mindset and technological competency are important variables in senior entrepreneurship. The study results provide the following policy implications. In order to activate senior entrepreneurship, first, to maximize the effect of founder education, programs such as customized entrepreneurship education that match the growth mindset characteristics, which are the psychological characteristics of founders, are needed. Second, it is required to expand the base of technology startups by expanding government support, such as expanding low-interest policy financing, for senior startups with technological capabilities and expertise. Third, it is necessary to provide institutional support for starting a business, such as providing a start-up program even before retirement, so that the expertise and technology accumulated by seniors can be linked to start-ups even after retirement.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2010.11a
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• pp.260-261
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• 2010

본 논문에서는 제작된 콘텐츠에 배경음을 간편하고 효과적으로 혼합하기 위해서 녹음된 신호(전경음)를 분석하여 배경음 에너지를 적응적으로 조절하는 배경음혼합 알고리즘을 제안한다. 이를 위해, 제안된 알고리즘은 등청감 곡선 (equal-loudness curve) 및 linear prediction (LP) 분석에 기반하여 전경음신호의 청감 에너지 및 음성신호 존재여부를 결정한다. 이에 따라 전경음에 음성신호가 존재하는 경우에는 음성이 명확하게 들릴 수 있도록 혼합된 배경음의 에너지를 하향 조절하고, 반대로 전경음에 음성신호가 존재하지 않는 경우에는 배경음이 명확하게 들릴 수 있도록 혼합된 배경음의 에너지를 상향 조절한다. 제안된 알고리즘의 효율성을 검증하기 위해, 고정 가중치를 이용하여 배경음을 혼합하는 경우와의 음질 선호도 조사를 실시한 결과, 제안된 알고리즘에 대한 높은 선호도를 보였다.

• Proceedings of the Korean Vacuum Society Conference
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• 2012.08a
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• pp.167-167
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• 2012

Aluminium-zinc-tin oxide (AZTO) 박막 트랜지스터는 Spin-coating 방법으로 제작되었다. AZTO용액의 용매는 2-Methoxyethanol, 용질은 각각 Aluminium nitride, Zinc acetate dihydrate, Tin chloride가 사용되어 제작되었다. 용액의 안정성을 위해서 미량의 Mono ethyl amine이 첨가되었다. 용액의 Zn:Sn의 몰 비율은 1 : 1로 고정 되었으며 Al의 mole비를 다양하게 늘리면서 실험을 진행하였다. 이렇게 만들어진 AZTO용액은 3,000 rpm으로 30초간 Spin-coating하였으며 이후 Furnace system을 통하여 $500^{\circ}C$의 온도로 1시간 동안 후열처리 공정을 진행하였다. AZTO박막을 활성층으로 제작된 박막 트랜지스터는 Al의 비율이 늘어남에 따라 처음엔 이동도가 증가하였으나 이후 이동도가 낮아지며 소자특성이 나빠지는 것을 보였다. 이러한 현상의 원인을 알아보고자 물리적, 전기적, 광학적 분석을 통해서 Al양의 변화가 박막트랜지스터 구동에 미치는 영향을 해석하였다. 먼저 AZTO용액은 열중량측정/시차열분석법(Thermo Gravimetry/Differential Thermal Analysis)을 이용하여 spin-coating 이후 후 열처리 온도 결정 및 박막의 변화를 관찰하였으며, X-선 분광(X-ray photoelectron spectroscopy)을 이용하여 박막의 조성 및 전자구조의 변화를, 타원분광해석법(Spectroscopic Ellipsometry)분석을 통하여 밴드 갭과 전도대 이하 밴드 갭 내에 존재하는 결함상태변화를 관찰하였다. AZTO 박막 내의 Al양을 조절하는 것은 박막내의 에너지 준위의 변화를 야기하고 그로인해 박막트랜지스터의 특성을 변화킨다는 결과를 도출하였다.