ERN: Discrete Regression & Qualitative Choice Models (Single) (Topic)最新文献_第4页

Predicting Simultaneous Severe Recessions Using Yield Spreads as Leading Indicators 利用收益率差作为领先指标预测同时发生的严重衰退

ERN: Discrete Regression & Qualitative Choice Models (Single) (Topic) Pub Date : 2011-05-31 DOI: 10.2139/ssrn.1855937

C. Christiansen

引用次数: 0

Urban Voters, Racial Attitudes, and Neighborhood Context: A Multilevel Analysis of the 2005 Los Angeles Mayoral Election 城市选民、种族态度和社区背景:2005年洛杉矶市长选举的多层次分析

ERN: Discrete Regression & Qualitative Choice Models (Single) (Topic) Pub Date : 2011-04-22 DOI: 10.2139/ssrn.1810466

Jason A. McDaniel

引用次数: 0

A Comparison of Two-Stage Segmentation Methods for Choice-Based Conjoint Data: A Simulation Study 基于选择的联合数据两阶段分割方法的比较:仿真研究

ERN: Discrete Regression & Qualitative Choice Models (Single) (Topic) Pub Date : 2011-03-01 DOI: 10.2139/ssrn.1846504

M. Crabbe, B. Jones, M. Vandebroek

{"title":"A Comparison of Two-Stage Segmentation Methods for Choice-Based Conjoint Data: A Simulation Study","authors":"M. Crabbe, B. Jones, M. Vandebroek","doi":"10.2139/ssrn.1846504","DOIUrl":"https://doi.org/10.2139/ssrn.1846504","url":null,"abstract":"Due to the increasing interest in market segmentation in modern marketing research, several methods for dealing with consumer heterogeneity and for revealing market segments have been described in the literature.In this study, the authors compare eight two-stage segmentation methods that aim to uncover consumer segments by classifying subject-specific indicator values. Four different indicators are used as a segmentation basis.The forces, which are subject-aggregated gradient values of the likelihood function, and the dfbetas, an outlier detection measure, are two indicators that express a subject’s effect on the estimation of the aggregate partworths in the conditional logit model. Although the conditional logit model is generally estimated at the aggregate level, this research obtains individual-level partworth estimates for segmentation purposes. The respondents’ raw choices are the final indicator values. The authors classify the indicators by means of cluster analysis and latent class models. The goal of the study is to compare the segmentation performance of the methods with respect to their success rate, membership recovery and segment mean parameter recovery. With regard to the individual-level estimates, the authors obtain poor segmentation results both with cluster and latent class analysis. The cluster methods based on the forces, the dfbetas and the choices yield good and similar results. Classification of the forces and the dfbetas deteriorates with the use of latent class analysis, whereas latent class modeling of the choices outperforms its cluster counterpart.","PeriodicalId":165362,"journal":{"name":"ERN: Discrete Regression & Qualitative Choice Models (Single) (Topic)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125102717","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

The Financial Profiles of Takeover Target Firms and Their Takeover Predictability: Australian Evidence 收购目标公司的财务状况及其收购的可预测性:澳大利亚的证据

ERN: Discrete Regression & Qualitative Choice Models (Single) (Topic) Pub Date : 2011-01-01 DOI: 10.22495/COCV8I3C6P1

Shuyi Cai, B. Balachandran, M. Dempsey

引用次数: 0

A Simple Globally Consistent Continuous Demand Model for Market Level Data 市场层面数据的简单全球一致连续需求模型

ERN: Discrete Regression & Qualitative Choice Models (Single) (Topic) Pub Date : 2010-08-15 DOI: 10.2139/ssrn.1690163

P. Davis, Ricardo Ribeiro

{"title":"A Simple Globally Consistent Continuous Demand Model for Market Level Data","authors":"P. Davis, Ricardo Ribeiro","doi":"10.2139/ssrn.1690163","DOIUrl":"https://doi.org/10.2139/ssrn.1690163","url":null,"abstract":"This paper considers a new method of uncovering demand information from market level data on differentiated products. In particular, we propose a globally consistent continuous-choice demand model with distinct advantages over the models currently in use and describe the econometric techniques for its estimation. The proposed model combines key properties of both the discrete- and continuous-choice traditions: i) it is flexible in the sense of Diewert (1974), ii) it is globally consistent in the sense it can deal with the entry and exit of products over time, and iii) incorporates a structural error term. In order to encompass different possible real-world applications, we consider two alternative specifications of the baseline model depending on the degree of flexibility the researcher is willing to accept for the substitution patterns between inside and outside goods. The estimation procedure follows an analog to the algorithm derived in Berry (1994), Berry, Levinsohn and Pakes (1995). Depending on the specification considered, the contraction mapping for matching observed and predicted budget shares may be analytical or not. The case for which the contraction is analytical is relatively simple and fast to estimate which can prove a key advantage in competition policy issues, where time and transparency are typically crucial factors. For the case it is not, we propose an alternative to Berry, Levinsohn and Pakes (1995)'s contraction mapping with super-linear rate of convergence. The final sections provide a series of Monte Carlo experiments to illustrate the estimation properties of the model and discuss how it can be extended to cope with consumer heterogeneity and dynamic behaviour.","PeriodicalId":165362,"journal":{"name":"ERN: Discrete Regression & Qualitative Choice Models (Single) (Topic)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117111599","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

Generating Proactive Execution Policies for Resource-Constrained Projects with Uncertain Activity Durations 为活动持续时间不确定的资源受限项目生成主动执行策略

ERN: Discrete Regression & Qualitative Choice Models (Single) (Topic) Pub Date : 2010-02-23 DOI: 10.2139/ssrn.1588642

Filip Deblaere, E. Demeulemeester, W. Herroelen

引用次数: 6

Estimating the Demand for Credit Card: A Regression Discontinuity Approach 信用卡需求估计:一种不连续回归方法

ERN: Discrete Regression & Qualitative Choice Models (Single) (Topic) Pub Date : 2009-09-02 DOI: 10.2139/ssrn.1466449

Dandan Huang, Wei Tan

引用次数: 2

Determining the Choice of Entry Mode of Multinationals: My 6 Million Regressions 跨国公司进入模式的选择:我的600万次回归

ERN: Discrete Regression & Qualitative Choice Models (Single) (Topic) Pub Date : 2009-08-07 DOI: 10.2139/ssrn.1445422

Magdalena Ramada-Sarasola

{"title":"Determining the Choice of Entry Mode of Multinationals: My 6 Million Regressions","authors":"Magdalena Ramada-Sarasola","doi":"10.2139/ssrn.1445422","DOIUrl":"https://doi.org/10.2139/ssrn.1445422","url":null,"abstract":"Motivated by the findings of Ramada-Sarasola (2009) and the lack of robustness of the previous literature’s results on foreign entry mode choice to model specification in this paper I perform an Extreme Bounds Analysis to determine which of almost 60 explanatory variables used in the literature are robust to different model specifications. I do so by following the methodology introduced in Sala-i-Martin (1997b) in a multinomial logit framework, based on 640 entries into foreign countries done by the largest 22 financial MNCs in the last 15 years. I suggest additional hypothesis to capture host-country level determinants and I improve the operationalization of industry level variables in a multi home-country and host-country setting. Amongst other results I find that an MNC’s size and its international experience increase the likelihood of greenfields as opposed to M&A or any type of entry mode involving a partner, and that more cultural distance between home and host country, a better developed local financial sector (or local credit market), a more regulated environment for obtaining licenses and more macroeconomic sustainability increase the chances of GI, while a worse local infrastructure, higher ITC costs and more difficulties in registering property and employing workers decrease its odds.","PeriodicalId":165362,"journal":{"name":"ERN: Discrete Regression & Qualitative Choice Models (Single) (Topic)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132891586","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Misspecification and Heterogeneity in Single-Index, Binary Choice Models 单指标二元选择模型的错定性和异质性

ERN: Discrete Regression & Qualitative Choice Models (Single) (Topic) Pub Date : 2009-04-21 DOI: 10.2139/ssrn.1393062

Pian Chen, M. Velamuri

引用次数: 0

Nonstandard Estimation of Inverse Conditional Density-Weighted Expectations 逆条件密度加权期望的非标准估计

ERN: Discrete Regression & Qualitative Choice Models (Single) (Topic) Pub Date : 2009-04-03 DOI: 10.2139/ssrn.1333779

Chuan Goh

{"title":"Nonstandard Estimation of Inverse Conditional Density-Weighted Expectations","authors":"Chuan Goh","doi":"10.2139/ssrn.1333779","DOIUrl":"https://doi.org/10.2139/ssrn.1333779","url":null,"abstract":"This paper is concerned with the semiparametric estimation of function means that are scaled by an unknown conditional density function. Parameters of this form arise naturally in the consideration of models where interest is focused on the expected value of an integral of a conditional expectation with respect to a continuously distributed “special regressor”' with unbounded support. In particular, a consistent and asymptotically normal estimator of an inverse conditional density-weighted average is proposed whose validity does not require data-dependent trimming or the subjective choice of smoothing parameters. The asymptotic normality result is also rate adaptive in the sense that it allows for the formulation of the usual Wald-type inference procedures without knowledge of the estimator's actual rate of convergence, which depends in general on the tail behaviour of the conditional density weight. The theory developed in this paper exploits recent results of Goh & Knight (2009) concerning the behaviour of estimated regression-quantile residuals. Simulation experiments illustrating the applicability of the procedure proposed here to a semiparametric binary-choice model are suggestive of good small-sample performance.","PeriodicalId":165362,"journal":{"name":"ERN: Discrete Regression & Qualitative Choice Models (Single) (Topic)","volume":"175 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122874745","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0