Does the Minimum Lot Size Program Affect Farmland Values? Empirical Evidence Using Administrative Data and Regression Discontinuity Design in Taiwan

2015 ◽  
Vol 98 (3) ◽  
pp. 785-801 ◽  
Author(s):  
Hung-Hao Chang ◽  
Tzu-Chin Lin
Keyword(s):  
Empirical Evidence ◽  
Administrative Data ◽  
Regression Discontinuity ◽  
Regression Discontinuity Design ◽  
Lot Size ◽  
Farmland Values

scholarly journals Learning from Law Enforcement

2021 ◽  
Author(s):  
Libor Dusek ◽  
Christian Traxler
Keyword(s):  
Law Enforcement ◽  
Event Study ◽  
Administrative Data ◽  
Regression Discontinuity ◽  
Learning Model ◽  
Regression Discontinuity Design ◽  
Intensive Margin ◽  
Compliance Behavior ◽  
Over Time

Abstract This paper studies how punishment affects future compliance behavior and isolates deterrence effects mediated by learning. Using administrative data from speed cameras that capture the full driving histories of more than a million cars over several years, we evaluate responses to punishment at the extensive (receiving a speeding ticket) and intensive margin (tickets with higher fines). Two complementary empirical strategies a regression discontinuity design and an event study coherently document strong responses to receiving a ticket: the speeding rate drops by a third and reoffense rates fall by 70% Higher fines produce a small but imprecisely estimated additional effect. All responses occur immediately and are persistent over time, with no backsliding towards speeding even two years after receiving a ticket. Our evidence rejects unlearning and temporary salience effects. Instead, it supports a learning model in which agents update their priors on the expected punishment in a coarse manner.

How Sticky Is Retirement Behavior in the U.S.?

2021 ◽  
pp. 1-55
Author(s):  
Manasi Deshpande ◽  
Itzik Fadlon ◽  
Colin Gray
Keyword(s):  
Social Security ◽  
Administrative Data ◽  
Regression Discontinuity ◽  
Cohort Analysis ◽  
Retirement Age ◽  
Regression Discontinuity Design ◽  
Suggestive Evidence ◽  
Research Designs ◽  
Retirement Behavior ◽  
The U.S

Abstract We study how increases in the U.S. Social Security full retirement age (FRA) affect benefit claiming behavior and retirement behavior separately. Using long panels of Social Security administrative data, we implement complementary research designs of a traditional cohort analysis and a regression-discontinuity design. We find that while claiming ages strongly and immediately shift in response to increases in the FRA, retirement ages exhibit persistent “stickiness” at the old FRA of 65. We use several strategies to explore the likely mechanisms behind the stickiness in retirement and find suggestive evidence that employers play a role in workers' responses to the FRA.

Three is a Magic Number: Evidence on the Effects of the Application of the Three-Point Rule in Italy’s Serie A

2020 ◽  
pp. 152700252097585
Author(s):  
Vincenzo Alfano ◽  
Lorenzo Cicatiello ◽  
Giuseppe Lucio Gaeta ◽  
Michele Gallo ◽  
Francesca Rotondo
Keyword(s):  
Empirical Evidence ◽  
Regression Discontinuity ◽  
Magic Number ◽  
Regression Discontinuity Design ◽  
Long Period

This paper contributes to the expanding literature that investigates the effects of the introduction of a three-points-for-a-win rule in football. To this end, it provides empirical evidence of the effect of the rule on Italy’s most prestigious football league. Our analysis uses data collected over a long period of time and relies on pooled regressions and a regression discontinuity design. The findings provide evidence that in the case of the Italian league the rule worked as expected, unlike what previous contributions have found when looking at other national football leagues.

scholarly journals Who Punishes Extremist Nominees? Candidate Ideology and Turning Out the Base in US Elections

2018 ◽  
Vol 112 (3) ◽  
pp. 509-524 ◽  
Author(s):  
ANDREW B. HALL ◽  
DANIEL M. THOMPSON
Keyword(s):  
Administrative Data ◽  
Voter Turnout ◽  
American Politics ◽  
Regression Discontinuity ◽  
General Election ◽  
Campaign Contributions ◽  
Regression Discontinuity Design ◽  
Swing Voters

Political observers, campaign experts, and academics alike argue bitterly over whether it is more important for a party to capture ideologically moderate swing voters or to encourage turnout among hardcore partisans. The behavioral literature in American politics suggests that voters are not informed enough, and are too partisan, to be swing voters, while the institutional literature suggests that moderate candidates tend to perform better. We speak to this debate by examining the link between the ideology of congressional candidates and the turnout of their parties’ bases in US House races, 2006–2014. Combining a regression discontinuity design in close primary races with survey and administrative data on individual voter turnout, we find that extremist nominees—as measured by the mix of campaign contributions they receive—suffer electorally, largely because theydecreasetheir party’s share of turnout in the general election, skewing the electorate towards their opponent’s party. The results help show how the behavioral and institutional literatures can be connected. For our sample of elections, turnout appears to be the dominant force in determining election outcomes, but it advantages ideologically moderate candidates because extremists appear to activate the opposing party’s base more than their own.

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.

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