611 research outputs found
Addictive behavior in cinema demand: evidence from Korea
It is intuitively plausible that the demand for cinema services may be partly driven by addiction or habit. Yet there is almost no empirical literature which tests for whether cinema demand is addictive. We estimate addiction models for cinema demand using Korean time series data from 1963 to 2004. Our estimation results indicate that (i) addictive behavior characterizes the demand for cinema services, (ii) this behavior is rational, and (iii) habit is one of most important determinants of cinema demand. Our results also reveal that cinema attendance is generally insensitive to admission price and unrelated to income.Cinema demand, rational addiction, myopic addiction, two-stages least squares, time-series analysis
Does the Solow Residual for Korea Reflect Pure Technology Shocks?
This study investigates the relationship between the measured Solow residual and demand side variables for the Korean economy. The measured Solow residuals are shown to be Granger-caused by some demand side variables such as exports, M1, and government expenditure. A vector error correction model is constructed to investigate dynamic relation between these demand side variables and the Solow residual. Impulse response functions shows that the measured Solow residual moves pro-cyclically with the demand shocks, and that the forecast error variance of the measured Solow residual is mostly explained by past innovations of these demand side variablesSolow residual, Productivity shock, Vector error correction model
The Productivity Debate of East Asia Revisited: A Stochastic Frontier Approach
This paper applies a stochastic frontier production model to the data from Penn World Table’s 49 countries over the period 1965-1990, to decompose total factor productivity growth into technical change and technical efficiency change. Empirical results show East Asian countries led the whole world in productivity growth, mainly because their technical efficiency gain was so much faster than that of other countries. East Asian countries also registered rapid technical change, which was comparable to that of the G6 countries after the late 1980s. The results provide evidence that negate the hypothesis that East Asian growth was mostly input-driven and unsustainable.East Asian Growth, stochastic frontier production model, total factor productivity, technical progress, technical efficiency
A Deep Ranking Model for Spatio-Temporal Highlight Detection from a 360 Video
We address the problem of highlight detection from a 360 degree video by
summarizing it both spatially and temporally. Given a long 360 degree video, we
spatially select pleasantly-looking normal field-of-view (NFOV) segments from
unlimited field of views (FOV) of the 360 degree video, and temporally
summarize it into a concise and informative highlight as a selected subset of
subshots. We propose a novel deep ranking model named as Composition View Score
(CVS) model, which produces a spherical score map of composition per video
segment, and determines which view is suitable for highlight via a sliding
window kernel at inference. To evaluate the proposed framework, we perform
experiments on the Pano2Vid benchmark dataset and our newly collected 360
degree video highlight dataset from YouTube and Vimeo. Through evaluation using
both quantitative summarization metrics and user studies via Amazon Mechanical
Turk, we demonstrate that our approach outperforms several state-of-the-art
highlight detection methods. We also show that our model is 16 times faster at
inference than AutoCam, which is one of the first summarization algorithms of
360 degree videosComment: In AAAI 2018, 9 page
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