HMO Selection and Medicare Costs: Bayesian MCMC Estimation of a Robust Panel Data Tobit Model with Survival

2003 ◽  
pp. 217-227
Author(s):  
Barton H. Hamilton
Keyword(s):  
Panel Data ◽  
Tobit Model ◽  
Bayesian Mcmc ◽  
Mcmc Estimation ◽  
Medicare Costs

scholarly journals Ketahanan Pangan di Kawasan Timur Indonesia

2012 ◽  
Vol 13 (1) ◽  
pp. 1-18 ◽  
Author(s):  
Triana Rachmaningsih ◽  
D. S. Priyarsono
Keyword(s):  
Food Security ◽  
Panel Data ◽  
Tobit Model ◽  
Poor People ◽  
Eastern Indonesia ◽  
Per Capita ◽  
Years Of Schooling

AbstractThis study aims at analyzing the dynamics of food security and the factors that influence food security in Eastern Indonesia. The methodology used is panel data tobit model of 190 districts/municipalities in the Eastern Indonesia from 2008 to 2010. Based on the classication of the food security degree, the majority of households in Eastern Indonesia are categorized as the vulnerable. Food security is affected by percentage of poor people, GRDP per capita, female illiteracy rate and average years of schooling. Based on the elasticity, education has the highest contribution in improving food security in the Eastern Indonesia.Keywords: Food Security, Eastern Indonesia, Panel Data Tobit Model AbstrakStudi ini bertujuan untuk menganalisis dinamika ketahanan pangan, serta faktor-faktor yang memengaruhi ketahanan pangan di Kawasan Timur Indonesia (KTI). Ketahanan pangan dibagi tiga pilar, yaitu ketersediaan, aksesibilitas, dan pemanfaatan pangan. Metode yang digunakan adalah model tobit dengan data panel dari 190 kabupaten/kota di KTI Tahun 2008-2010. Berdasarkan klasikasi derajat ketahanan pangan, sebagian besar rumah tangga di KTI termasuk kategori rentan terhadap kerawanan pangan. Ketahanan pangan dipengaruhi oleh persentase penduduk miskin, PDRB per kapita, angka buta huruf perempuan, dan rata-rata lama sekolah. Berdasarkan nilai elastisitas, pendidikan memiliki pengaruh terbesar terhadap ketahanan pangan di KTI.Kata kunci: Ketahanan Pangan, Kawasan Timur Indonesia, Model Tobit Data Panel

scholarly journals Hiving off the non-essential: analysing which public organizations outsource administrative overhead

2017 ◽  
Vol 85 (2) ◽  
pp. 228-246
Author(s):  
Jan Boon ◽  
Koen Verhoest ◽  
Bruno De Borger
Keyword(s):  
Panel Data ◽  
Financial Crisis ◽  
Private Sector ◽  
Global Financial Crisis ◽  
Public Organizations ◽  
Tobit Model ◽  
Effect Sizes ◽  
Organizational Size ◽  
The Global Financial Crisis ◽  
Insight Into

This study contributes to our understanding of the characteristics of public organizations that are more likely to outsource administrative overhead. Despite the climate of ongoing crisis that urges public organizations to focus their resources on core tasks, little is known about the characteristics of organizations that hive off the delivery of non-essential administrative overhead processes to the private sector. This study runs a panel data Tobit model to test whether different effect sizes of structural, institutional and political characteristics are found regarding the probability of outsourcing and the degree of outsourcing of administrative overhead. We find that organizational size, formal autonomy, inertia and time matter for understanding the outsourcing of public organizations. Points for practitioners Across the globe, governments have turned to a rationalization of administrative overhead in response to austerity demands posed by the global financial crisis. The present study shows that large differences exist between organizations in terms of their propensity to turn to the private sector – one of the classic recipes for achieving efficiency gains – for the delivery of administrative overhead, and helps practitioners gain insight into the determinants of administrative overhead outsourcing.

ANALYSING EXPORT INTENSITY OF THE SELECT ELECTRONICS FIRMS IN INDIA

2007 ◽  
Vol 11 (03) ◽  
pp. 379-396 ◽  
Author(s):  
VINNIE JAUHARI
Keyword(s):  
Foreign Direct Investment ◽  
Panel Data ◽  
Direct Investment ◽  
Fold Increase ◽  
Electronics Industry ◽  
Tobit Model ◽  
Policy Implications ◽  
Export Intensity ◽  
Firm Level ◽  
Indian Electronics Industry

The second half of the 1990s has witnessed almost three-fold increase in the exports of Indian electronics industry. The study proposes a model for analysing the export intensity of 164 electronics firms in India and tests the same empirically. The Tobit model is estimated using firm level panel data for the period 2000–2005 for the electronics industry in India. The results show that both size of the firm, foreign direct investment and capital employed have played an important role in boosting exports in this sector. The study has policy implications to improve the performance of the Indian Electronics sector in India and similar other countries.

Determinants of tourism in Indian states: an empirical analysis

2017 ◽  
Vol 72 (3) ◽  
pp. 330-343 ◽  
Author(s):  
Yashobanta Parida ◽  
Parul Bhardwaj ◽  
Joyita Roy Chowdhury
Keyword(s):  
Economic Development ◽  
Panel Data ◽  
State Level ◽  
Tobit Model ◽  
Indian States ◽  
Content Type ◽  
Prone Area ◽  
Flood Prone Area ◽  
The Impact ◽  
Domestic Tourist

Purpose The purpose of this study is to empirically examine the determinants of foreign and domestic tourist arrivals and revenue receipts from tourism using state-level panel data in 25 Indian states for the period 1995 to 2011. Design/methodology/approach The study uses IV-2SLS method to examine the determinants of foreign and domestic tourist arrivals in Indian states. Economic development (proxied by per capita income, PCI) is an endogenous variable. We have used the state-wise “liable to flood prone area” as an instrument for PCI to control for endogeneity. An inverse relationship exists between state-wise “liable to flood prone area” and real PCI, in a sense that states with greater proportion of area marked as liable to flood experience lower economic development. For robust analysis, the study has also used IV-Tobit model to examine the effects of economic development and crime on revenue receipts from tourism. Findings The empirical results based on IV-2SLS method suggest that, in addition to economic development, other factors such as the presence of world-class monuments, natural landscapes and cultural heritage also encourage both international and domestic visitors in Indian states. While crime activities adversely affect the inflow of foreign and domestic tourist arrivals, terror activities do not significantly impact tourist arrivals and tourism receipts. Finally, the estimates of IV-Tobit model show that economic development and government expenditure on tourism sector leads to a significant increase in tourism receipts. Originality/value To the best of our knowledge, this is the first study done in Indian context in which state-level panel data have been used to examine the impact of economic, social and cultural factors on tourist arrivals and revenue earnings from tourism. Hence, the present study not only contributes to existing tourism literature, but also makes an important contribution to structuring suitable tourism management policies for the Indian states.

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