cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.14457/cu.the.2004.1462
title: Consistency of firm's performance evaluation and compensation plans with competitive strategy

description: According to “Contingency Theory” and several researches, there is no absolutely conclusive result to show that there is a best control system for all firms that fits all types of competitive strategy. Also, based on “Expentancy Theory” , in order to motivate employee, the compensation plans have to cover all performance measures that fully reflect employee’s effort. Hence, this case-based research is set up for the purpose of studying the consistency of firm’ s performance evaluation and compensation plans with competitive strategy. All 285 of MBA students at the Faculty of Commerce and Accountancy, Chulalongkorn University, Thailand, are the experimental units. The controlled group with 141 regular MBA students are subdivided into two groups as low-cost group and product-differentiation group. Then each group is subdivided into two more sub groups as CEO and MD groups. For the treated groups with 144 executive MBA students, subdivision is done in the same manner as the controlled group. The experiment is set up to evaluate whether competitive strategy affects weights placed on performance measures used for firm’ s performance evaluation and compensation plans. Also, it is set up to evaluate the consistency of weights placed on performance measure for these two purposes under a given competitive strategy. The research results are as expected. That is, under low-cost strategy, a firm places more weights on financial performance measures for firm’s performance evaluation resulting in short-term oriented compensation plans and vice versa. Under product-differentiation strategy, a firm places more weights on non-financial performance measures for firm’s performance evaluation resulting in long-term oriented compensation plans and vice versa. Therefore, the consistency of two control systems are evidenced from this research. That is, for a given competitive strategy, a control system designed by first considering the appropriate firm’s performance evaluation system to match with that strategy in terms of weights placed on performance measures followed by the compensation plans will be consistent with the control system designed by first considering the appropriate compensation plans to match with that same strategy and followed by firm’ performance evaluation system. However, executives of a low-cost strategy firm significantly place more weight on “productivity” which is one of non-financial performance measures for both firm’s performance evaluation and compensation plans than those of a product-differentiation strategy firm. This means that although productivity is non-financial performance measure, it still plays crucial role for a low-cost strategy firm than a product-differentiation one. This may be due to the fact that usually low-cost strategy firms emphasis on efficiency as an important mean to reduce cost. And “productivity” is one performance measure that evaluates the efficiency of firms.
DOI: 10.14457/cu.the.2004.1463
title: Effects of Thai universal health care coverage on cost efficiency of publicly owned hospitals

description: The paper assesses effects on cost efficiency of the Thai Universal Health Care (UC) program, fully implemented in the fiscal year 2002. Using pre-UC (FY 2000-2001) and UC (FY 2002) samples of regional and general hospitals, the paper estimates stochastic cost frontiers and computes efficiency scores for individual hospitals. Results reveal that hospital respond to an absolute reduction in the capitation-based funding allocation method by improving their operation and management of health care resources. Health care costs could have been potentially reduced between 13.4% and 18.9% had hospitals in the sample, on average, used resources in the most efficient manner. Multiple capitation rates that take hospital type, location and case mix into consideration may alleviate a potential patient-selection bias towards treating less severe patients and/or patient inequity in access to care.
DOI: 10.14457/cu.the.2004.1464
title: Growth options and interest rate exposure: a cross country comparison

description: This study is aimed to investigate and compare the impact of growth options on the relationship between stock returns and interest rate change across countries. In the study, the firm’s growth options are measured by the book-to-market equity ratio. The sample consists of listed companies in Hong Kong, Indonesia, Malaysia, Philippines, Singapore, Taiwan, and Thai during 1997-2003 period. The study finds that the impact of growth options on the relationship between stock returns and interest rate change is different in each country and depends on the models. In models controlling market factors, the results found in Singapore are consistent with the hypothesis. Returns on high-growth portfolio are positively correlated with interest rate change, while those on low-growth portfolio are negatively correlated with interest rate change. In addition, in the models that use the three-factor model as control variables, most stock returns are not significantly correlated with interest rate.
DOI: 10.14457/cu.the.2004.1465
title: An estimation of term structure of interest rates in the Thai bond market
DOI: 10.14457/cu.the.2004.1466
title: An empirical study on the determinants of the capital structure of Thai firms : the role of stock market return
DOI: 10.14457/cu.the.2004.1467
title: The comparison of earnings forecasting models of listed company in the stock exchange of Thailand
DOI: 10.14457/cu.the.2005.1931
title: The impact of macroeconomic announcements on risk premium and volatility of Thai Government bonds and stocks

description: This paper studies the impact of macroeconomic announcements on the Thai government bond and stock returns by examining the effect on risk premiums and volatilities of government bond and stock simultaneously based on the bivariate GARCH-M estimation. This paper also examines how quickly government bond and stock markets react to new information. Finally, this paper investigates whether government bond and stock react to the information content of announcements. The types of announcements in this paper include the news about real economy, inflation, consumer confidence index, and export-import measures. The results indicate that government bond exhibits significant positive risk premium to conditional covariance on macroeconomic announcement days, while stock risk premium does not exhibit any significant change on macroeconomic announcement days. However, stock volatility indicates a significant increase on macroeconomic announcement days and remains high on the day after announcements, while government bond volatility exhibits a significant increase on the day prior to the news releases. When investigating the reaction to the information content of announcements, stock volatility increases significantly on the BOT press release on economic conditions and inflation announcement dates. Meanwhile, government bond reacts significantly to inflation announcement. GDP announcement also gener
DOI: 10.14457/cu.the.2007.2232
title: Trading behavior in volatile markets: an exploratory investigation into Thai markets

description: This study is an exploratory investigation into trading behavior within volatile markets. It examines several aspects of trading behavior by various types of market participants (local retail investors, local institutional investors and foreign investors) during volatile markets. Issues investigated in the study include abnormal trading activity, the impact of trading activity, and the causality between prices and volumes of securities on the foreign board compared to that seen on the main board, as well as with warrants and their underlying assets. The quality of the market during volatility as opposed to a ‘normal’ market is also examined. Using the intraday market data on the Stock Exchange of Thailand (SET) during a period from 1999 to 2003, first, it was found that domestic retail investors seemed to follow contrarian trading strategies, while institutional and foreign participants seemed to be momentum traders. However, institutional and foreign investors were seen more sensitive to market conditions and adjusted their trading activities in a risk adverse manner. Second, abnormal trading activity was observed and found to be more pronounced during extreme ‘bull’ market surges than during extreme ‘bear’ markets. Based on a study of related evidence, however, such overreaction was not found to be strong. Retail investors’ trading tended to have more of an impact on prices than those of other investor categories. However, the directions they took were opposite to what we would have expected. Third, our results showed that, generally,there were positive contemporaneous associations between the price changes/trading volumes in securities on the main board, and the price changes and trading volumes of corresponding securities on the foreign board, as well as with warrants and their underlying assets, regardless of market conditions. Finally, the results confirmed our expectation that the quality of exchange during normal periods was better than during volatile periods.
DOI: 10.5281/zenodo.5645169
title: Data Science job offers in Euraxess.

description: It is not always easy to find job opportunities if you are interested in beginning to do research in a certain field. In this sense, having an up-to-date dataset with job offers in your field of interest would simplify this search. This dataset could be generated using web scraping methods. Although the web scraper we built could be applied to every field, in this project we focused in opportunities related with data science (i.e. data scientist, data analyst, data engineer...) published on EURAXESS. The dataset generated with this package contains job offers obtained from EURAXESS. Each row of the dataset contains different job offers and its attributes. In the example table showed below, the dataset was obtained using "Data Scientist" as keyword, but another keywords would result in different datasets. The columns describing the dataset are: Job Offer Title: Title of the job offer. Researcher Profile: Expected applicant profile/s. Company: Company offering the job. Hours/Week: Weekly working hours. Country: Country where the job is offered. City: City where the job is offered. Where to Apply: Url or email where to apply to the offer. More info: URL where the offer can be located. Dataset generated by web scraping methods: https://github.com/avicenteg/euraxess_scraping
DOI: 10.5281/zenodo.5636237
title: Data Science job offers in Euraxess.

description: It is not always easy to find job opportunities if you are interested in beginning to do research in a certain field. In this sense, having an up-to-date dataset with job offers in your field of interest would simplify this search. This dataset could be generated using web scraping methods. Although the web scraper we built could be applied to every field, in this project we focused in opportunities related with data science (i.e. data scientist, data analyst, data engineer...) published on EURAXESS. The dataset generated with this package contains job offers obtained from EURAXESS. Each row of the dataset contains different job offers and its attributes. In the example table showed below, the dataset was obtained using "Data Scientist" as keyword, but another keywords would result in different datasets. The columns describing the dataset are: Job Offer Title: Title of the job offer. Researcher Profile: Expected applicant profile/s. Company: Company offering the job. Hours/Week: Weekly working hours. Country: Country where the job is offered. City: City where the job is offered. Where to Apply: Url or email where to apply to the offer. More info: URL where the offer can be located. Dataset generated by web scraping methods: https://github.com/avicenteg/euraxess_scraping
DOI: 10.5066/p9k7x61f
title: Field Parameters and Water Levels from Monitoring Sites at Jamestown Island, Virginia, 2016 - 2018

description: As part of a study to analyze the effects of sea-level rise on groundwater resources of Colonial National Historical Park, a monitoring network was established on Historic Jamestown Island, Virginia, to evaluate current levels of and changes in groundwater elevation and water quality. The monitoring network includes 45 wells and piezometers, 3 marsh sites, and 2 surface-water sites distributed across 5 sampling locations on Jamestown Island. Field parameters, including water temperature, specific conductance, pH, and dissolved oxygen, were collected at the marsh and surface-water sites. Field parameters and water levels were collected from the wells and piezometers. Information provided in this data release was collected by U.S. National Park Service staff. Although these data have been used by the U.S. Geological Survey, U.S. Department of the Interior, no warranty expressed or implied is made by the U.S. Geological Survey as to the accuracy of the data. This data release consists of three Excel files and three pdf files. The Jamestown_monitoring_locations Excel file includes coordinates and U.S. Geological Survey site numbers for the monitoring sites. The Jamestown_field_parameters Excel file contains the field parameter data collected at the monitoring sites. The Jamestown_water_level_elevations Excel file is divided into five sheets, with each sheet containing water-level elevations collected from individual well clusters located at each of the five sampling locations. The pdf files contain the field notes collected by National Park Service personnel during site visits.
DOI: 10.5281/zenodo.5636422
title: TimeMatch Dataset

description: Dataset and pre-trained models for the paper TimeMatch: Unsupervised Cross-region Adaptation by Temporal Shift Estimation. The source code can be found at https://github.com/jnyborg/timematch.
DOI: 10.6084/m9.figshare.16930072
title: Supplementary data_PaoloComandini.xlsx

description: Mortality data for the two experiments in the paper are provided .
DOI: 10.6084/m9.figshare.16930072.v1
title: Supplementary data_PaoloComandini.xlsx

description: Mortality data for the two experiments in the paper are provided .
DOI: 10.6084/m9.figshare.16677373
title: Multiple actin regulatory proteins localize to phagocytic teeth (images for Figure 5 and Figure 5 Supplement)

description: RAW macrophages were transfected with fluorescently tagged actin binding proteins and challenged to ingest DAAMPs (11 mm, 1.4 kPa) functionalized with IgG and AF647-Cadaverine to assess localization to actin teeth (yellow arrowheads). Images were collected by laser scanning confocal microscopy.
DOI: 10.6084/m9.figshare.13507789
title: The Impact of Application of the Jackknife to the Sample Median

description: The jackknife is a reliable tool for reducing the bias of a wide range of estimators. This note demonstrates that even such versatile tools have regularity conditions that can be violated even in relatively simple cases, and that caution needs to be exercised in their use. In particular, we show that the jackknife does not provide the expected reliability for bias-reduction for the sample median, because of subtle changes in behavior of the sample median as one moves between even and odd sample sizes. These considerations arose out of class discussions in a MS-level nonparametrics course.
DOI: 10.6084/m9.figshare.14892717
title: Pairwise Comparisons Using Ranks in the One-Way Model

description: The Wilcoxon rank sum test for two independent samples and the Kruskal–Wallis rank test for the one-way model with <i>k</i> independent samples are very competitive robust alternatives to the two-sample <i>t</i>-test and <i>k</i>-sample <i>F</i>-test when the underlying data have tails longer than the normal distribution. However, these positives for rank methods do not extend as readily to methods for making all pairwise comparisons used to reveal where the differences in location may exist. Here, we show that the <i>closed method</i> of Marcus et al. applied to ranks is quite powerful for both small and large samples and better than any methods suggested in the list of applied nonparametric texts found in the recent study by Richardson. In addition, we show that the closed method applied to means is even more powerful than the classical Tukey–Kramer method applied to means, which itself is very competitive for nonnormal data with moderately long tails and small samples.
DOI: 10.6084/m9.figshare.13507789.v2
title: The Impact of Application of the Jackknife to the Sample Median

description: The jackknife is a reliable tool for reducing the bias of a wide range of estimators. This note demonstrates that even such versatile tools have regularity conditions that can be violated even in relatively simple cases, and that caution needs to be exercised in their use. In particular, we show that the jackknife does not provide the expected reliability for bias-reduction for the sample median, because of subtle changes in behavior of the sample median as one moves between even and odd sample sizes. These considerations arose out of class discussions in a MS-level nonparametrics course.
DOI: 10.6084/m9.figshare.13469616
title: Hurdle Blockmodels for Sparse Network Modeling

description: A variety of random graph models have been proposed in the literature to model the associations within an interconnected system and to realistically account for various structures and attributes of such systems. In particular, much research has been devoted to modeling the interaction of humans within social networks. However, such networks in real-life tend to be extremely sparse and existing methods do not adequately address this issue. In this article, we propose an extension to ordinary and degree corrected stochastic blockmodels that accounts for a high degree of sparsity. Specifically, we propose hurdle versions of these blockmodels to account for community structure and degree heterogeneity in sparse networks. We use simulation to ensure parameter estimation is consistent and precise, and we propose the use of likelihood ratio-type tests for model selection. We illustrate the necessity for hurdle blockmodels with a small research collaboration network as well as the infamous Enron E-mail exchange network. Methods for determining goodness of fit and performing model selection are also proposed. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.14892717.v1
title: Pairwise Comparisons Using Ranks in the One-Way Model

description: The Wilcoxon rank sum test for two independent samples and the Kruskal–Wallis rank test for the one-way model with <i>k</i> independent samples are very competitive robust alternatives to the two-sample <i>t</i>-test and <i>k</i>-sample <i>F</i>-test when the underlying data have tails longer than the normal distribution. However, these positives for rank methods do not extend as readily to methods for making all pairwise comparisons used to reveal where the differences in location may exist. Here, we show that the <i>closed method</i> of Marcus et al. applied to ranks is quite powerful for both small and large samples and better than any methods suggested in the list of applied nonparametric texts found in the recent study by Richardson. In addition, we show that the closed method applied to means is even more powerful than the classical Tukey–Kramer method applied to means, which itself is very competitive for nonnormal data with moderately long tails and small samples.
DOI: 10.6084/m9.figshare.13171665
title: Facilitating Authentic Practice for Early Undergraduate Statistics Students

description: In current curricula, authentic statistical practice generally only occurs in capstone projects undertaken by advanced undergraduate and Master’s students. We argue that deferring practice is a mistake: undergraduate students should achieve experience via repeated practice from their first years onward, to achieve heightened levels of confidence and competence prior to graduation. However, statistical practice is not a “one size fits all” enterprise: for instance, elements of a capstone experience, such as extensive data preprocessing, may be out of place in earlier practice settings due to less-experienced students’ relative lack of coding skill. We describe a course we have implemented at Carnegie Mellon University, currently open to second-year students, that provides a circumscribed opportunity for statistical practice that limits coding breadth, uses fully curated data, treats statistical learning models as “gray boxes” to be understood qualitatively, and provides open-ended semester-long projects that students pursue outside of class. We show how pre- and post-course assessment tests and retrospective surveys indicate clear gains in the students’ knowledge of, and attitudes toward, statistical practice. Given its clear benefits, we feel that statistics and data science programs should offer a course like the one we describe to all undergraduate students pursuing statistics and data science degrees.
DOI: 10.6084/m9.figshare.13171665.v1
title: Facilitating Authentic Practice for Early Undergraduate Statistics Students

description: In current curricula, authentic statistical practice generally only occurs in capstone projects undertaken by advanced undergraduate and Master’s students. We argue that deferring practice is a mistake: undergraduate students should achieve experience via repeated practice from their first years onward, to achieve heightened levels of confidence and competence prior to graduation. However, statistical practice is not a “one size fits all” enterprise: for instance, elements of a capstone experience, such as extensive data preprocessing, may be out of place in earlier practice settings due to less-experienced students’ relative lack of coding skill. We describe a course we have implemented at Carnegie Mellon University, currently open to second-year students, that provides a circumscribed opportunity for statistical practice that limits coding breadth, uses fully curated data, treats statistical learning models as “gray boxes” to be understood qualitatively, and provides open-ended semester-long projects that students pursue outside of class. We show how pre- and post-course assessment tests and retrospective surveys indicate clear gains in the students’ knowledge of, and attitudes toward, statistical practice. Given its clear benefits, we feel that statistics and data science programs should offer a course like the one we describe to all undergraduate students pursuing statistics and data science degrees.
DOI: 10.6084/m9.figshare.13507789.v1
title: The Impact of Application of the Jackknife to the Sample Median*

description: The jackknife is a reliable tool for reducing the bias of a wide range of estimators. This note demonstrates that even such versatile tools have regularity conditions that can be violated even in relatively simple cases, and that caution needs to be exercised in their use. In particular, we show that the jackknife does not provide the expected reliability for bias-reduction for the sample median, because of subtle changes in behavior of the sample median as one moves between even and odd sample sizes. These considerations arose out of class discussions in a MS-level nonparametrics course.