scholarly journals Impact Evaluation of Raskin Program using Matching Method: Case of IFLS 5

JEJAK ◽  
2018 ◽  
Vol 11 (1) ◽  
pp. 207-223
Author(s):  
Endiarjati Dewandaru Sadono
Keyword(s):  
Propensity Score ◽  
Propensity Score Matching ◽  
Family Life ◽  
Household Income ◽  
Impact Evaluation ◽  
Matching Method ◽  
Indonesia Family Life Survey ◽  
Small Benefit ◽  
Using Data ◽  
The Impact

Beras untuk Keluarga Miskin (RASKIN) program has been applied since 1998 and has been renamed as Beras Sejahtera (RASTRA) in early 2017, but their effectiveness is still debatable. This study tries to evaluate the impact of RASKIN program on household income. Using data from 3,745 households in Indonesia Family Life Survey (IFLS) 5 that has been estimated using propensity score matching, this study has identified precisely that RASKIN program has a negative and significant effect on household income. This happens because the benefits that reveived by Rumah Tangga Sasaran (RTS) are very small. The small benefit is affected by the amount of rice received, frequency and price that have been paid to get RASKIN is not in accordance with the guidelines. The result of this study is along with previous studies, where the amount and price of rice that distributed through RASKIN program is not exactly correct. Therefore, there must be a change in program format, not just renaming from RASKIN to RASTRA only.

scholarly journals EFEITOS DO PROGRAMA TERRITÓRIOS DA CIDADANIA SOBRE INDICADORES ECONÔMICOS E SOCIAIS DOS MUNICÍPIOS DE MG: uma abordagem de mensuração com métodos de pareamento

2016 ◽  
Vol 19 (2) ◽  
pp. 551
Author(s):  
Henrique Dantas Neder ◽  
Tiago Camarinha Lopes
Keyword(s):  
Propensity Score ◽  
Propensity Score Matching ◽  
Impact Evaluation ◽  
Minas Gerais ◽  
Territorial Development ◽  
Impact Measurement ◽  
Estimation Model ◽  
Matching Method ◽  
Government Programs ◽  
The Impact

Resumo: O artigo tem o objetivo de medir o efeito do Programa Territórios da Cidadania no Estado de Minas Gerais, com um modelo de estimação com base no método Propensity Score Matching (PSM). Assim, analisa os problemas de medição de impacto do programa, de forma didática, com o propósito de apresentar a metodologia de avaliação de programas governamentais baseada no pareamento de indivíduos com características semelhantes. Conclui que existem evidências de que no período de vigência do programa, os indicadores de aumento do produto da agropecuária foram afetados positivamente, em termos causais, pelo programa Territórios da Cidadania.Palavras-chave: Desenvolvimento territorial, avaliação de políticas públicas, métodos de pareamento, avaliação de impactos. TERRITORIAL PROGRAMS EFFECTS OF CITIZENSHIP ON SOCIAL AND ECONOMIC INDICATORS OF MG CITIES: an measuring approach with pairing methods Abstract: The paper has the objective of measuring the impact of the Brazilian governmental with a program called Territórios da Cidadania in the state of Minas Gerais. An estimation model was constructed on the basis of the Propensity Score Matching method (PSM). Thus, analyzes the program's impact measurement problems in a didactic way, in order to present the methodology for evaluating government programs based on the pairing of individuals with similar characteristics. Concludes there are evidences that for the period analyzed, the indicators of rural product were positively affected by the program.Key words: Territorial development, public policies evaluation, pairing methods, impact evaluation.

scholarly journals Adoption of improved agricultural technology and its impact on household income: a propensity score matching estimation in eastern Ethiopia

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Muluken G. Wordofa ◽  
Jemal Y. Hassen ◽  
Getachew S. Endris ◽  
Chanyalew S. Aweke ◽  
Dereje K. Moges ◽  
...  
Keyword(s):  
Propensity Score ◽  
Propensity Score Matching ◽  
Technology Use ◽  
Household Income ◽  
Agricultural Technology ◽  
Primary Data ◽  
Farm Income ◽  
Agricultural Technologies ◽  
Eastern Ethiopia ◽  
The Impact

Abstract Background Adoption of improved agricultural technologies remains to be a promising strategy to achieve food security and poverty reduction in many developing countries. However, there are limited rigorous impact evaluations on the contributions of such technologies on household welfare. This paper investigates the impact of improved agricultural technology use on farm household income in eastern Ethiopia. Methods Primary data for the study was obtained from a random sample of 248 rural households, 119 of which are improved technology users and the rest are non-users. The research employed the Propensity Score Matching (PSM) procedure to establish the causal relationship between adoption of improved crop and livestock technologies and changes in farm income. Results Results from the econometric analysis show that households using improved agricultural technologies had, on average, 23,031.28 Birr (Birr is the official currency of Ethiopia. The exchange rate according to the National Bank of Ethiopia (NBE) was 1 USD = 27.6017 Birr on 04 October 2018.) higher annual farm income compared to those households not using such technologies. Our findings highlight the importance of promoting multiple and complementary agricultural technologies among rural smallholders. Conclusions We suggest that rural technology generation, dissemination and adoption interventions be strengthened. Moreover, the linkage among research, extension, universities and farmers needs to be enhanced through facilitating a multistakeholders innovation platforms.

scholarly journals USING PROPENSITY SCORE MATCHING METHOD TO ESTIMATE THE IMPACT OF VIETGAP PROGRAM ON THE HEALTH OF FARMERS IN THUA THIEN HUE PROVINCE, VIETNAM

2017 ◽  
Vol 126 (5B) ◽  
pp. 17
Author(s):  
Trần Huỳnh Bảo Châu
Keyword(s):  
Health Status ◽  
Propensity Score ◽  
Propensity Score Matching ◽  
Pesticide Exposure ◽  
Agricultural Practices ◽  
Health Problems ◽  
Vegetable Production ◽  
Matching Method ◽  
Environment Friendly ◽  
The Impact

<p><strong>Abstract:</strong></p><p>This study estimates the impact value of the VietGAP program when applied to vegetable production on the health of farmers in Thua Thien Hue province. By employing the propensity score matching (PSM) method, our findings show that the VietGAP program has a significant impact on farmers’ health. In particular, the program reduces farmers’ health problems due to pesticide exposure by 15.6 %, 22.9 %, 25.5 %, and 23.6 %, respectively, from four types of matching. This study provides evidence of the positive impacts of the VietGAP program on the health status of farmers in Thua Thien Hue province. It is therefore hoped that the production, consumption, and management solutions provided by the VietGAP program can encourage farmers to use environment-friendly agricultural practices.</p><p><strong>Keywords: </strong>propensity score matching (PSM) method, VietGAP program, farmers’ health</p>

scholarly journals The Impact of Program Participation on Rural Household Income: Evidence from China’s Whole Village Poverty Alleviation Program

2019 ◽  
Vol 11 (6) ◽  
pp. 1545 ◽  
Author(s):  
Junying Lin ◽  
Zhonggen Zhang ◽  
Lingli Lv
Keyword(s):  
Propensity Score ◽  
Propensity Score Matching ◽  
Household Income ◽  
Poverty Alleviation ◽  
Household Head ◽  
The Political ◽  
Program Participation ◽  
Household Data ◽  
The Poor ◽  
The Impact

Villagers’ participation in poverty alleviation programs has received considerable attention, especially with regard to the poor. However, not much is known about the welfare effect of villagers’ program participation. This paper analyzes the impact of villagers’ program participation on their incomes. We used household data from 529 villagers in China’s Whole Village Poverty Alleviation Program. We focused on two types of program participation—discussion and voting. Using the propensity score matching approach, we estimate the impact of rural households’ program participation on their income. The results show that the education and the political career of the household head determine program participation. Households participating in discussion and voting have a positive and significant effect on household income. Richer households benefit more from the program. However, the poor receive less benefits. We conclude that broadening villager’s participation can boost the effectiveness of China’s poverty alleviation program.

scholarly journals Estimating the Impact of Poverty Alleviation Microcredit on the Income of Poor Households Using the Propensity Score Matching Method: Evidence from China

Agriculture ◽  
2020 ◽  
Vol 10 (7) ◽  
pp. 293
Author(s):  
Jie Yu ◽  
Xiao Han ◽  
Baozhen Chen ◽  
Jinzheng Ren
Keyword(s):  
Propensity Score ◽  
Propensity Score Matching ◽  
Agricultural Production ◽  
Poverty Alleviation ◽  
Empirical Test ◽  
Matching Method ◽  
Poor Households ◽  
Method Evidence ◽  
Implementation Effect ◽  
The Impact

The poverty alleviation microcredit policy is an important financial poverty alleviation policy that has been widely implemented in China in recent years. However, whether this policy can effectively increase the income of poor households is controversial. In order to measure the implementation effect of the policy, we analyzed the mechanism of the poverty alleviation microcredit on the income of poor households. Then, the paper used micro-survey data to conduct an empirical test using the propensity score matching method to study its effect on the production income of these poor households. The results show that the poverty alleviation microcredit positively affects the production income of poor households, including those who are poor due to lack of funds and poor households with female heads. Therefore, we should continue to implement the poverty alleviation microcredit policy, and establish relevant supporting measures, such as strengthening agricultural production capital subsidies, increasing agricultural production insurance, further improving the implementation efficiency of the poverty alleviation microcredit policy, and increasing the income of poor households.

Geographical Indications and their Impact on Territorial Development: Empirical Evidence for Brazilian Municipalities

2021 ◽  
Vol 39 (8) ◽  
Author(s):  
Mirna de Lima Medeiros ◽  
Augusta Pelinski Raiher ◽  
João Luiz Passador
Keyword(s):  
Propensity Score ◽  
Propensity Score Matching ◽  
Empirical Evidence ◽  
Public Policies ◽  
Geographical Indications ◽  
Territorial Development ◽  
Matching Method ◽  
Development Intervention ◽  
The Impact

The promotion of Geographical indications (GIs) as a development intervention has gained growing support. However, despite discussions related to the development resulting from GIs, studies quantifying the impact of public policies for geographical indications are still scarce. In an attempt to fill in this gap, this paper evaluated the effect of geographical indications (GIs) in the process of territorial development of Brazilian municipalities, focusing on the coffee and wine GIs. Therefore, we employed the Propensity Score Matching method. Our results demonstrated a positive mean effect for most of the variables selected, evidencing the importance of the GIs for territorial development.

Impact Evaluation of Chile Solidario: Lessons and Policy Recommendations

2012 ◽  
Vol 44 (2) ◽  
pp. 347-372 ◽  
Author(s):  
OSVALDO LARRAÑAGA ◽  
DANTE CONTRERAS ◽  
JAIME RUIZ-TAGLE
Keyword(s):  
Social Networks ◽  
Propensity Score ◽  
Propensity Score Matching ◽  
Family Support ◽  
Environmental Conditions ◽  
Impact Evaluation ◽  
Negative Impact ◽  
Policy Recommendations ◽  
Small Impact ◽  
The Impact

AbstractThis article evaluates the impact of the Chile Solidario anti-poverty programme. The evaluation is based on propensity score matching and a difference-in-difference estimator along with databases of Social Assistance Committee forms. The results show a positive but small impact on employment and housing along with a slightly negative impact on self-generated income. They also suggest that gains tend to be concentrated in the first phase, during which beneficiaries work with a family support professional, and that these benefits may not be sustainable. Participant families show absolute gains in income and employment, but these may be attributed to environmental conditions rather than the programme; this raises doubts about the premise that these families were initially marginalised from the economy and social networks.

Impact of Improved Agricultural Technology Use on Household Income in Eastern Ethiopia: Empirical Evidence from a Propensity Score Matching Estimation

2021 ◽  
pp. 232102492110076
Author(s):  
Muluken G. Wordofa ◽  
Jemal Y. Hassen ◽  
Getachew S. Endris ◽  
Chanyalew S. Aweke ◽  
Dereje K. Moges ◽  
...  
Keyword(s):  
Propensity Score ◽  
Propensity Score Matching ◽  
Technology Use ◽  
Household Income ◽  
Agricultural Technology ◽  
Primary Data ◽  
Farm Income ◽  
Agricultural Technologies ◽  
Eastern Ethiopia ◽  
The Impact

This article investigates the impact of improved agricultural technology use on farm household income in eastern Ethiopia. Primary data for the study were obtained from a random sample of 248 rural households, 119 of which are improved technology users and the rest are non-users. The research employed the propensity score matching procedure to establish the causal relationship between adoption of improved crop and livestock technologies and changes in farm income. Results from the econometric analysis show that households using improved agricultural technologies had, on average, 23,031.28 Birr1 higher annual farm income compared to those households not using such technologies. Our findings highlight the importance of promoting multiple and complementary agricultural technologies among rural smallholders. Therefore, we suggest that rural technology generation, dissemination and adoption interventions be strengthened. Moreover, the linkage among research, extension, universities and farmers needs to be enhanced through facilitating multistakeholder innovation platforms.

scholarly journals Pengaruh Remitansi Terhadap Perbedaan Kesejahteraan Rumah Tangga di Indonesia dengan Metode Propensity Score Matching

2019 ◽  
Vol 8 (2) ◽  
pp. 98-112
Author(s):  
Amelia Puspita Sari
Keyword(s):  
Propensity Score ◽  
Propensity Score Matching ◽  
Capital Flows ◽  
Well Being ◽  
Common Assumption ◽  
Indonesia Family Life Survey ◽  
Household Assets ◽  
Migrant Remittances ◽  
Migrant Households ◽  
The Impact

There is a common assumption in the literature and policymakers that migrant remittances have an essential role in improving the welfare of migrant households in the regions of origin. Payments play the same position in economic development as foreign direct investment and other capital flows. This study observes international and internal remittances in Indonesia that are being made to contribute to assessing the impact of payments on household welfare. Using longitudinal data from Indonesia Family Life Survey (IFLS) from 2000 until 2007 on wave 3 and 4, the study will observe the impact of the development of remittance income on the household accumulated asset as a measure of well-being between recipients and non-recipients. This research uses propensity score matching (PSM) method and difference-in-difference (DID) to measure the revenue impact of remittances on household assets and compare them to non-remittance households. It was found that there are significant differences between the well-being of recipients with non-recipient remittances households.

Sign in / Sign up

Export Citation Format

Share Document