scholarly journals Analysis on the Difference in the Initial Examination Results of Postgraduates Based on Regression Discontinuity Design

2021 ◽  
Vol 2026 (1) ◽  
pp. 012034
Author(s):  
Yuhao Wang ◽  
Yongmei Ding ◽  
Qing Liu
Keyword(s):  
Regression Discontinuity ◽  
Regression Discontinuity Design ◽  
Initial Examination ◽  
The Difference

The Emperor Strikes Back: Political Status, Career Incentives and Grain Procurement during China's Great Leap Famine

2014 ◽  
Vol 2 (2) ◽  
pp. 179-211 ◽  
Author(s):  
James Kai-sing Kung
Keyword(s):  
Regression Discontinuity ◽  
Causal Effect ◽  
Central Committee ◽  
Regression Discontinuity Design ◽  
Political Career ◽  
Demonstration Effect ◽  
Political Status ◽  
Great Leap ◽  
The Difference ◽  
Career Incentives

Using China's Great Leap Famine as example, this article shows how political career incentives can produce disastrous outcomes under the well-intended policies of a dictator. By exploiting a regression discontinuity design, the study identifies the causal effect of membership status in the Chinese Communist Party's Central Committee—full (FM) Versus alternate members (AM)—on grain procurement. It finds that the difference in grain procurement between AMs and FMs who ranked near the discontinuity threshold is three times that between all AMs and all FMs on average. This may explain why Mao exceptionally promoted some lower-ranked but radical FMs shortly before the Leap: to create a demonstration effect in order to spur other weakly motivated FMs into action.

Assessing Correspondence Between Experimental and Nonexperimental Estimates in Within-Study Comparisons

2018 ◽  
Vol 42 (2) ◽  
pp. 214-247 ◽  
Author(s):  
Peter M. Steiner ◽  
Vivian C. Wong
Keyword(s):  
Randomized Control Trial ◽  
Regression Discontinuity ◽  
Target Population ◽  
Significance Testing ◽  
Equivalence Testing ◽  
Regression Discontinuity Design ◽  
Practical Advice ◽  
Randomized Control ◽  
The Difference ◽  
Straightforward Approach

In within-study comparison (WSC) designs, treatment effects from a nonexperimental design, such as an observational study or a regression-discontinuity design, are compared to results obtained from a well-designed randomized control trial with the same target population. The goal of the WSC is to assess whether nonexperimental and experimental designs yield the same results in field settings. A common analytic challenge with WSCs, however, is the choice of appropriate criteria for determining whether nonexperimental and experimental results replicate. This article examines different distance-based correspondence measures for assessing correspondence in experimental and nonexperimental estimates. Distance-based measures investigate whether the difference in estimates is small enough to claim equivalence of methods. We use a simulation study to examine the statistical properties of common correspondence measures and recommend a new and straightforward approach that combines traditional significance testing and equivalence testing in the same framework. The article concludes with practical advice on assessing and interpreting results in WSC contexts.

Splitting the Difference? Causal Inference and Theories of Split-party Delegations

2006 ◽  
Vol 14 (4) ◽  
pp. 439-455 ◽  
Author(s):  
Daniel M. Butler ◽  
Matthew J. Butler
Keyword(s):  
Causal Inference ◽  
Strong Evidence ◽  
Regression Discontinuity ◽  
The Other ◽  
Regression Discontinuity Design ◽  
Senate Elections ◽  
The Difference ◽  
Using Data

We provide an introduction to the regression discontinuity design (RDD) and use the technique to evaluate models of sequential Senate elections predicting that the winning party for one Senate seat will receive fewer votes in the next election for the other seat. Using data on U.S. Senate elections from 1946 to 2004, we find strong evidence that the outcomes of the elections for the two Senate seats are independent.

scholarly journals Heterogeneity of the Impact of Geopolitical Events on Energy Trade: An Empirical Study Based on Regression Discontinuity Design

2021 ◽  
Vol 9 ◽  
Author(s):  
Yanqiong Liu ◽  
Liang Yu ◽  
Cunyi Yang ◽  
Zhenghui Li
Keyword(s):  
Emerging Economies ◽  
Regression Discontinuity ◽  
Risk Index ◽  
Regression Discontinuity Design ◽  
Energy Trade ◽  
The Face ◽  
Trade Frictions ◽  
The Difference ◽  
The Impact ◽  
Geopolitical Risks

In the context of intensifying global geopolitical disputes and trade frictions, the relationship between geopolitics and energy trade has attracted extensive attention from scholars. The complexity of geopolitical risks mainly comes from the diversity of geopolitical events, which directly leads to the different responses of energy trade in the face of geopolitical risks. The purpose of this paper is to analyze the heterogeneity of the impact of geopolitical events on energy trade based on the difference of event types. This paper uses Regression Discontinuity Design (RDD) to simulate a quasi-natural experiment. Based on the monthly data and the Geopolitical Risk index (GPR index) of 17 emerging economies from 2000 to 2020, the empirical analysis can be concluded as follows: Wars and conflicts events lead to the increase of energy trade volume; terrorist attacks have no significant impact on energy trade; international tension can cause the decline in energy trade. Additional analysis shows that the impact of geopolitical events on energy trade in emerging economies is concentrated on the demand side, and the demand is severely inelastic.

scholarly journals Effectiveness of a Power Factor Correction Policy in Improving the Energy Efficiency of Large-Scale Electricity Users in Ghana

Energies ◽  
2019 ◽  
Vol 12 (13) ◽  
pp. 2582 ◽  
Author(s):  
Samuel Lotsu ◽  
Yuichiro Yoshida ◽  
Katsufumi Fukuda ◽  
Bing He
Keyword(s):  
Energy Efficiency ◽  
Power Factor ◽  
Large Scale ◽  
Regression Discontinuity ◽  
Power Factor Correction ◽  
Energy Crisis ◽  
Regression Discontinuity Design ◽  
The Government ◽  
Power Factor Improvement ◽  
The Impact

Confronting an energy crisis, the government of Ghana enacted a power factor correction policy in 1995. The policy imposes a penalty on large-scale electricity users, namely, special load tariff (SLT) customers of the Electricity Company of Ghana (ECG), whose power factor is below 90%. This paper investigates the impact of this policy on these firms’ power factor improvement by using panel data from 183 SLT customers from 1994 to 1997 and from 2012. To avoid potential endogeneity, this paper adopts a regression discontinuity design (RDD) with the power factor of the firms in the previous year as a running variable, with its cutoff set at the penalty threshold. The result shows that these large-scale electricity users who face the penalty because their power factor falls just short of the threshold are more likely to improve their power factor in the subsequent year, implying that the power factor correction policy implemented by Ghana’s government is effective.

How Much of the Incumbency Advantage is Due to Scare-Off?

2015 ◽  
Vol 3 (3) ◽  
pp. 493-514 ◽  
Author(s):  
Andrew B. Hall ◽  
James M. Snyder
Keyword(s):  
Regression Discontinuity ◽  
Regression Discontinuity Design ◽  
Incumbency Advantage ◽  
Previous Election ◽  
Us Senate ◽  
State Legislative

This paper uses a regression discontinuity design to estimate the degree to which incumbents scare off challengers with previous officeholder experience. The estimates indicate a surprisingly small amount of scare-off, at least in cases where the previous election was nearly tied. As Lee and others have shown (and as we confirm for our samples) the estimated party incumbency advantage in these same cases is quite large—in fact, it is about as large as the average incumbency advantage for all races found using other approaches. Drawing from previous estimates of the electoral value of officeholder experience, we thus calculate that scare-off in these cases accounts for only about 5–7 percent of the party incumbency advantage. We show that these patterns are similar in elections for US House seats, statewide offices and US senate seats, and state legislative seats.

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