Random effect model

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  • Lecture "Advanced Econometrics (Part II) - Chapter 10: Models for panel data" presentation of content: General framework for panel data, pooled regression, fixed effects, random effects model, choosing between fixed and random effects models, finding big.

    pdf0p nghe123 06-05-2016 40 2   Download

  • This paper is aimed to identify the key determinants of commercial banks’ liquidity in Vietnam, testing the hypotheses of trade-off between bank liquidity and profitability. The random effect model (REM) is applied with data of 140 observations from 20 Vietnamese commercial banks in period 2008 to 2014.

    pdf12p thiendiadaodien_5 08-01-2019 20 3   Download

  • Tuyển tập các báo cáo nghiên cứu về sinh học được đăng trên tạp chí sinh học thế giới đề tài: Longitudinal random effects models for genetic analysis of binary data with application to mastitis in dairy cattle

    pdf12p toshiba19 08-11-2011 42 1   Download

  • Tuyển tập các báo cáo nghiên cứu về sinh học được đăng trên tạp chí sinh học Journal of Biology đề tài: Restricted maximum likelihood to estimate variance components for animal models with several random effects using a derivative-free algorithm

    pdf0p toshiba20 12-11-2011 39 1   Download

  • The current study extends recent value-added modeling approaches for longitudinal student achievement data Lockwood et al. [J. Educ. Behav. Statist. 32 (2007) 125–150] to allow data to be missing not at random via random effects selection and pattern mixture models, and applies those methods to data from a large urban school district to estimate effects of elementary school mathematics teachers.

    pdf0p trinhosieupham 25-02-2013 30 1   Download

  • In this chapter, you will learn how to: Describe the key features of panel data and outline the advantages and disadvantages of working with panels rather than other structures; explain the intuition behind seemingly unrelated regressions and propose examples of where they may be usefully employed; contrast the fixed effect and random effect approaches to panel model specification, determining which is the more appropriate in particular cases; construct and estimate panel models in EViews.

    ppt49p estupendo3 18-08-2016 21 1   Download

  • The success of exports in Vietnam has become a driving force for economic growth since the reform in 1986. The paper uses data from 2010 to 2014 to estimate the gravity model for Vietnam’s exports with the random effect estimation.

    pdf14p danhnguyentuongvi27 18-12-2018 17 0   Download

  • Active Learning (AL) is typically initialized with a small seed of examples selected randomly. However, when the distribution of classes in the data is skewed, some classes may be missed, resulting in a slow learning progress. Our contribution is twofold: (1) we show that an unsupervised language modeling based technique is effective in selecting rare class examples, and (2) we use this technique for seeding AL and demonstrate that it leads to a higher learning rate. The evaluation is conducted in the context of word sense disambiguation. ...

    pdf5p hongdo_1 12-04-2013 45 5   Download

  • To determine why some teachers are more effective than others, Bosshardt and Watts (1990) investigated teacher effects on student learning in high school economics classes using fixed- and random-effects models. The teacher characteristics they examined included college credits in economics, non-credit workshops in economics, years of teaching experience, and the extent of teachers’ past instruction in economics. They found that the most effective teachers were those who had completed more courses in economics.

    pdf26p trinhcaidat 19-04-2013 40 4   Download

  • In this paper we deal with Named Entity Recognition (NER) on transcriptions of French broadcast data. Two aspects make the task more difficult with respect to previous NER tasks: i) named entities annotated used in this work have a tree structure, thus the task cannot be tackled as a sequence labelling task; ii) the data used are more noisy than data used for previous NER tasks. We approach the task in two steps, involving Conditional Random Fields and Probabilistic Context-Free Grammars, integrated in a single parsing algorithm. We analyse the effect of using several tree representations.

    pdf11p bunthai_1 06-05-2013 47 3   Download

  • Regional determinants of FDI location in Vietnam. This paper examines empirically determinants of foreign direct investment (FDI) location in Vietnam. Based on a panel dataset of 63 provinces and cities in Vietnam from 2008 to 2012, linear regression models for panel data (fixed-effects and random-effects) and negative binomial models are applied in analysis.

    pdf19p tranminhluanluan 28-05-2018 27 5   Download

  • This paper is aimed to identify the key determinants of commercial banks’ liquidity in Vietnam, testing the hypotheses of trade-off between bank liquidity and profitability. The random effect model (REM) is applied with data of 140 observations from 20 Vietnamese commercial banks in period 2008 to 2014.

    pdf12p jangni 13-04-2018 40 2   Download

  • The main objective of this study is to evaluate the impact of internet banking to performance (profitability ratios, noninterest operating expenses and incomes) of banks in Vietnam in the period from 2009-2014. The study uses random effect model (REM) and fixed effect model (FEM) to estimate the relationships between Internet indicators and bank’s performance.

    pdf14p sansan1 24-05-2018 27 2   Download

  • Conditional random fields (Lafferty et al., 2001) are quite effective at sequence labeling tasks like shallow parsing (Sha and Pereira, 2003) and namedentity extraction (McCallum and Li, 2003). CRFs are log-linear, allowing the incorporation of arbitrary features into the model. To train on unlabeled data, we require unsupervised estimation methods for log-linear models; few exist. We describe a novel approach, contrastive estimation. We show that the new technique can be intuitively understood as exploiting implicit negative evidence and is computationally efficient. ...

    pdf9p bunbo_1 17-04-2013 33 1   Download

  • This research examines the determinants that affect the dividend payout ratio of 156 listed companies in the Vietnamese security market during 2009 and 2014. This study considered the influences of ten independent variables including free cash flow, sales growth, company size, financial leverage, profitability and liquidity.

    pdf11p hieutinhcotu 19-06-2017 28 1   Download

  • This paper analyzes the determinants of service trade flows between Vietnam and the European Union. In this respect, a gravity model has been estimated with panel data and pooled, random and fixed effect estimation, covering the period of ten years from 2002 to 2011, for total service trade flows, service exports, and service imports between Vietnam and the European Union separately.

    pdf14p thithi300610 09-03-2018 19 1   Download

  • Liabilities and the impacts on financial performance of the Vietnamese listed small and medium-sized enterprises. This research aims to examine the relationship between liabilities and firm performance of the Vietnamese listed small and medium-sized enterprises (SMEs). We explore a panel data set of 61 listed SMEs in Vietnam from 2011 to 2014 and apply random-effects models.

    pdf23p tranminhluanluan 29-05-2018 17 1   Download

  • This paper attempts to analyze the determinants of trade flows among APEC member economies. Using the panel data analysis, the empirical results show a number of robust findings. First, GDP is one of the most important determinants of trade flows among APEC economies. Second, membership in an FTA would likely lead to an increase in trade among the member countries.

    pdf6p cumeo2425 02-07-2018 21 1   Download

  • This approach provides sufficient information to make inferences about the effect of a treatment without using a control group who will be otherwise denied treatment, as an alternative method to the commonly used controlled clinical trials.

    pdf8p danhdanh27 07-01-2019 5 0   Download

  • CHAPTER 5 Using Decision Variables T he first four chapters covered the basics of specifying Crystal Ball assumptions and analyzing Crystal Ball forecasts. This chapter covers the basics of defining and using Crystal Ball decision variables and its decision support tools, Decision Table and OptQuest. DEFINING DECISION VARIABLES Decision variables are spreadsheet cells in which the values are varied systematically rather than sampled randomly, as are assumptions.

    pdf24p leslienguyen 17-11-2010 93 35   Download



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