首页/数据集/Replication Data for: Estimating grouped data models with a binary dependent variable and fixed effect via logit vs OLS: the impact of dropped units

Replication Data for: Estimating grouped data models with a binary dependent variable and fixed effect via logit vs OLS: the impact of dropped units

NIAID Data Ecosystem2026-03-10 收录

政治计量分析

离散选择模型

数据链接：

https://doi.org/10.7910/DVN/SVAONZ 数据链接链接失效反馈

官方服务：

资源简介：

Replication data for Political Analysis Letter

应用场景：

创建时间：

2019-01-14

离散选择模型

福利经济学

Economists have been paying increasing attention to the study of situations in which consumers face a discrete rather than a continuous set of choices. Such models are potentially very important in ev

NBER1979-02-01 更新160

Tourists rewilding preferences for a National Park

生态旅游

离散选择模型

Data were collected between December 2021 and March 2022, it covered 288 tourists that have previously visited Mokala National Park. Data included visitor profile such as socio-economic demographic fa

researchdata.up.ac.za2023-06-01 更新70

Replication Data for: Estimating Substitution Patterns and Demand Curvature in Discrete-Choice Models of Product Differentiation

实证产业组织

离散选择模型

Review of Economics and Statistics: Forthcoming

Harvard Dataverse2024-05-09 更新60

Surrogate Residuals for Discrete Choice Models

离散选择模型

残差分析

Discrete choice models (DCMs) are a class of models for modeling response variables that take values from a set of alternatives. Examples include logistic regression, probit regression, and multinomia

DataCite Commons2024-02-19 更新90

Choice Probability Generating Functions

离散选择模型

随机效用最大化

This paper considers discrete choice, with choice probabilities coming from maximization of preferences from a random utility field perturbed by additive location shifters (ARUM). Any ARUM can be char

NBER2012-04-01 更新70

Replication Data for: Estimating grouped data models with a binary dependent variable and fixed effect via logit vs OLS: the impact of dropped units

资源简介：

相关数据集