scholarly journals The Impact of Lagging-Region Status on District Poverty in Indonesia

2016 ◽  
Vol 62 (1) ◽  
pp. 30
Author(s):  
Rus’an Nasrudin
Keyword(s):  
Panel Data ◽  
Propensity Score ◽  
Propensity Score Matching ◽  
Selection Bias ◽  
Unobserved Heterogeneity ◽  
Poverty Rate ◽  
Fixed Effect ◽  
Omitted Variable Bias ◽  
Variable Bias ◽  
The Impact

Reducing subnational imbalances of development progress is unquestionable policy for heterogeneous Indonesia. This paper examines the impact of policy that assigns a lagging-region status namely status daerah tertinggal (DT) on poverty rate and poverty gap among districts in Indonesia in the two period of SBY presidency. The panel data fixed effect combined with propensity score matching is used to tackle the selection bias due to the nature of the policy, unobserved heterogeneity and omitted variable bias. The results show that the lagging-region status that was aimed to mainstream central and district’s budget toward lagging regions statistically significant reduces poverty rate and poverty gap in the period. The DT status, on average is associated with 0.75 percentage point of reduction in the poverty rate and 7% reduction in the poverty gap index. AbstrakMenurunkan ketimpangan antar-daerah adalah sebuah agenda kebijakan yang niscaya untuk Indonesia yang majemuk dalam kemajuan ekonomi. Artikel ini berusaha mengukur dampak dari sebuah kebijakan penetapan daerah tertinggal terhadap dua ukuran kemiskinan, yaitu tingkat kemiskinan dan kedalaman kemiskinan pada dua periode masa jabatan Presiden SBY. Metode yang dipergunakan adalah panel data fixed-effect dikombinasikan dengan propensity score matching untuk mengatasi permasalah endogen pada variabel utama yaitu bias dalam seleksi terhadap kebijakan, keragaman daerah yang tidak dapat diukur, dan potensi bias karena ketiadaan variabel-variabel yang berpengaruh terhadap dua ukuran kemiskinan. Hasil pendugaan regresi tersebut menunjukkan bahwa penetapan daerah tertinggal yang ditujukan untuk mengarusutamakan dana pembangunan secara statistik signifikan dan menyebabkan penurunan tingkat kemiskinan dan kedalaman kemiskinan di masa tersebut. Daerah tertinggal secara rata-rata memiliki tingkat kemiskinan lebih rendah sebesar 0.75 (persentase) dan memiliki indeks kedalaman kemiskinan 7% lebih rendah.Kata kunci: Daerah Tertinggal; Kemiskinan; IndonesiaJEL classifications: I32, P48

The Impact of ICT Investment on Establishment Productivity

2003 ◽  
Vol 184 ◽  
pp. 99-110 ◽  
Author(s):  
Thomas Zwick
Keyword(s):  
Panel Data ◽  
Unobserved Heterogeneity ◽  
Data Set ◽  
Omitted Variable Bias ◽  
Lagged Effects ◽  
Variable Bias ◽  
Employee Characteristics ◽  
The Impact ◽  
Establishment Panel Data

This paper finds substantial effects of ICT investments on productivity for a large and representative German establishment panel data set. In contrast to the bulk of the literature also establishments without ICT capital are included and lagged effects of ICT investments are analysed. In addition, a broad range of establishment and employee characteristics are taken account of in order to avoid omitted variable bias. It is shown that taking into account unobserved heterogeneity of the establishments and endogeneity of ICT investments increases the estimated lagged productivity impact of ICT investments.

scholarly journals Impact of Microcredit on Second Generation Borrowers in Bangladesh: Revisited

2020 ◽  
Vol 21 (1) ◽  
pp. 142-157
Author(s):  
Laila Arjuman Ara ◽  
Mohammad Masudur Rahman ◽  
Chanwahn Kim
Keyword(s):  
Panel Data ◽  
Propensity Score ◽  
Propensity Score Matching ◽  
Selection Bias ◽  
Field Survey ◽  
Poverty Eradication ◽  
Data Set ◽  
The Difference ◽  
The Impact ◽  
The Empirical Analysis

This article investigates the economic impact of continuing borrowers’ participation in the microcredit programme on poverty eradication in Bangladesh. A panel data set was collected through a field survey for the years 2013–2016 to identify the impact of a microcredit programme on continuous participation borrowers. The propensity score matching (PSM) method is used to eliminate selection bias and the difference-in-difference (DID) model is applied for the empirical analysis. The findings of the study demonstrate that more benefits are realized from continued participants compared to discontinued participants. JEL: C83, D14, G21, O12

scholarly journals Can Panel Data Methodologies Determine the Impact of Climate Change on Economic Growth?

2021 ◽  
Author(s):  
Richard A. Rosen ◽  
Keyword(s):  
Climate Change ◽  
Economic Growth ◽  
Panel Data ◽  
Regression Equations ◽  
Annual Variations ◽  
Omitted Variable Bias ◽  
The World ◽  
Variable Bias ◽  
One Year ◽  
The Impact

Several major papers have been published over the last ten years claiming to have detected the impact of either annual variations in weather or climate change on the GDPs of most countries in the world using panel data-based statistical methodologies. These papers rely on various multivariate regression equations which include the annual average temperatures for most countries in the world as one or more of the independent variables, where the usual dependent variable is the change in annual GDP for each country from one year to the next year over 30-50 year time periods. Unfortunately, the quantitative estimates derived in these papers are misleading because the equations from which they are calculated are wrong. The major reason the resulting regression equations are wrong is because they do not include any of the appropriate and usual economic factors or variables which are likely to be able to explain changes in GDP/economic growth whether or not climate change has already impacted each country’s economy. These equations, in short, exhibit suffer from “omitted variable bias,” to use statistical terminology.

Doctoral Education, Job Mismatch, and Wage Consequences in South Korea: A Propensity Score Matching Approach

2021 ◽  
pp. 002190962110529
Author(s):  
Kihong Park
Keyword(s):  
Propensity Score ◽  
South Korea ◽  
Propensity Score Matching ◽  
Negative Influence ◽  
Rapid Expansion ◽  
Wage Penalty ◽  
Omitted Variable Bias ◽  
Wage Effects ◽  
Variable Bias ◽  
Job Mismatch

This study extends the previous literature on the wage effects of over-education, focusing on young doctorate holders (DHs). It also contributes to the conventional over-education literature on a causal relationship between over-education and wages by implementing techniques of propensity score matching (PSM). By tackling potential bias as a consequence of omitted variable bias via the PSM strategy, this study provides evidence of the negative influence of over-education on wages (i.e., the over-education wage penalty) once potential sources of bias are adequately considered. While the current analysis is focused on one country, South Korea, its results might be relevant for many other countries that have experienced a rapid expansion in the supply of DHs over recent years.

scholarly journals Impact of Multidisciplinary Stroke Post-Acute Care on Cost and Functional Status: A Prospective Study Based on Propensity Score Matching

2021 ◽  
Vol 11 (2) ◽  
pp. 161
Author(s):  
Chong-Chi Chiu ◽  
Jhi-Joung Wang ◽  
Chao-Ming Hung ◽  
Hsiu-Fen Lin ◽  
Hong-Hsi Hsien ◽  
...  
Keyword(s):  
Propensity Score ◽  
Functional Status ◽  
Propensity Score Matching ◽  
Acute Care ◽  
Medical Cost ◽  
Economic Burden ◽  
Stroke Rehabilitation ◽  
Stroke Patients ◽  
The Impact ◽  
Post Acute Care

Few papers discuss how the economic burden of patients with stroke receiving rehabilitation courses is related to post-acute care (PAC) programs. This is the first study to explore the economic burden of stroke patients receiving PAC rehabilitation and to evaluate the impact of multidisciplinary PAC programs on cost and functional status simultaneously. A total of 910 patients with stroke between March 2014 and October 2018 were separated into a PAC group (at two medical centers) and a non-PAC group (at three regional hospitals and one district hospital) by using propensity score matching (1:1). A cost–illness approach was employed to identify the cost categories for analysis in this study according to various perspectives. Total direct medical cost in the per-diem-based PAC cohort was statistically lower than that in the fee-for-service-based non-PAC cohort (p < 0.001) and annual per-patient economic burden of stroke patients receiving PAC rehabilitation is approximately US $354.3 million (in 2019, NT $30.5 = US $1). Additionally, the PAC cohort had statistical improvement in functional status vis-à-vis the non-PAC cohort and total score of each functional status before rehabilitation and was also statistically significant with its total score after one-year rehabilitation training (p < 0.001). Early stroke rehabilitation is important for restoring health, confidence, and safe-care abilities in these patients. Compared to the current stroke rehabilitation system, PAC rehabilitation shortened the waiting time for transfer to the rehabilitation ward and it was indicated as an efficient policy for treatment of stroke in saving medical cost and improving functional status.

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.

Was it worth it? The impact of the German minimum wage on union membership of employees

2021 ◽  
pp. 0143831X2110358
Author(s):  
Simon Ress ◽  
Florian Spohr
Keyword(s):  
Propensity Score ◽  
Social Security ◽  
Labour Market ◽  
Propensity Score Matching ◽  
Minimum Wage ◽  
Trade Union ◽  
Union Membership ◽  
Difference In Differences ◽  
German Trade ◽  
The Impact

This contribution scrutinises how introducing a statutory minimum wage of EUR 8.50 per hour, in January 2015, impacted German employees’ decision with regard to union membership. Based on representative data from the Labour Market and Social Security panel, the study applies a logistic difference-in-differences propensity score matching approach on entries into and withdrawals from unions in the German Trade Union Confederation (Deutscher Gewerkschaftsbund, DGB). The results show no separate effect on withdrawals from or entries into unions after the minimum wage introduction for those employees who benefited financially from it, but a significant increase of entries overall. Thus, unions’ campaign for a minimum wage strengthened their position in total but did not reverse the segmentation of union membership patterns.

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>

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