منابع مشابه
A Dynamic Hurdle Model for Zero-Inflated Count Data∗
Excess zeros are encountered in many empirical count data applications. We provide a new explanation of extra zeros, related to the underlying stochastic process that generates events. The process has two rates, a lower rate until the first event, and a higher one thereafter. We derive the corresponding distribution of the number of events during a fixed period and extend it to account for obse...
متن کاملA Dynamic Hurdle Model for Zero-Inflated Count Data: With an Application to Health Care Utilization
Excess zeros are encountered in many empirical count data applications. We provide a new explanation of extra zeros, related to the underlying stochastic process that generates events. The process has two rates, a lower rate until the first event, and a higher one thereafter. We derive the corresponding distribution of the number of events during a fixed period and extend it to account for obse...
متن کاملTriple Hurdle Model of Smallholder Production and Market Participation in Kenya ’ S Dairy Sector
In Kenya, strong demand and the fact that most of the nation's 3 million dairy cattle are in the hands of smallholders provides a tremendous opportunity for households to participate in the dairy market and increase rural incomes. Unfortunately, recent output has not kept pace with increasing demand, suggesting that barriers prevent rural farmers from tapping dairy's underexploited potential. U...
متن کاملZero Expenditures and Engel Curve Estimation
Zeroes expenditure represent a difficulty in the analysis of household survey data. Zero expenditures are the result of two phenomena: nonconsumption and infrequency of purchase. Distinguishing between these types of zeroes is difficult in the kinds of data of interest to agricultural economists. This paper proposes a novel approach that yields less biased estimates of latent expenditure when t...
متن کاملThe low-rank hurdle model
A composite loss framework is proposed for low-rank modeling of data consisting of interesting and common values, such as excess zeros or missing values. The methodology is motivated by the generalized low-rank framework and the hurdle method which is commonly used to analyze zero-inflated counts. The model is demonstrated on a manufacturing data set and applied to the problem of missing value ...
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ژورنال
عنوان ژورنال: Quarterly Journal of Econometrics Research
سال: 2018
ISSN: 2518-2536,2411-0523
DOI: 10.18488/journal.88.2018.41.1.9