Ontology type: schema:ScholarlyArticle Open Access: True
2009-01
AUTHORS ABSTRACTThis paper estimates the incumbency effects using a large dataset on state legislative elections in India during 1975–2003. I use a Regression Discontinuity Design (RDD) that estimates the causal effect of incumbency by comparing candidates in closely fought elections. I find that there is a significant disadvantage to incumbency in Indian State legislative elections, and the adverse effect of incumbency has increased after 1991. Also, the incumbency disadvantage is higher in states that have lower availability of public goods such as health centers, and lower employment, poverty and per capita income. More... »
PAGES9-27
http://scigraph.springernature.com/pub.10.1007/s11127-008-9336-4
DOIhttp://dx.doi.org/10.1007/s11127-008-9336-4
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1032551270
JSON-LD is the canonical representation for SciGraph data.
TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT
[
{
"@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json",
"about": [
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1402",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Applied Economics",
"type": "DefinedTerm"
},
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/14",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Economics",
"type": "DefinedTerm"
}
],
"author": [
{
"affiliation": {
"alternateName": "Youngstown State University",
"id": "https://www.grid.ac/institutes/grid.268467.9",
"name": [
"Department of Economics, Youngstown State University, 44555, Youngstown, OH, USA"
],
"type": "Organization"
},
"familyName": "Uppal",
"givenName": "Yogesh",
"id": "sg:person.0672571107.85",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0672571107.85"
],
"type": "Person"
}
],
"citation": [
{
"id": "https://doi.org/10.2307/2585758",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1006982211"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/0047-2727(85)90028-3",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1007413739"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.jpubeco.2003.01.001",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1008817965"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1080/14662040500304833",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1014084698"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1525/as.2004.44.3.339",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1015649770"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/j.1468-0297.2006.01049.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1017729693"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1037/h0044319",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1027881917"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf00119352",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1030280345",
"https://doi.org/10.1007/bf00119352"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/1468-0262.00183",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1035451227"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1017/s0003055400259364",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1036864002"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.2307/1957176",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1037092969"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s0261-3794(00)00030-5",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1037782241"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.jeconom.2007.05.004",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1046951034"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.2307/1958782",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1049095025"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1017/s0003055400259376",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1049755743"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1177/0010414003260981",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1053819082"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1177/0010414003260981",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1053819082"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1177/003231870605800205",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1054034647"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1162/0033553041502153",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1063348974"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1257/aer.90.2.135",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1064526987"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.2307/1956960",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1069667279"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.2307/1956961",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1069667280"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.2307/2110580",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1069766345"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.2307/2111327",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1069767022"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.2307/2111475",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1069767157"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.2307/2111633",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1069767304"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.2307/2669290",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1070052108"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.2307/2937834",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1070139558"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.2307/3233931",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1070232067"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.2307/3234117",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1070232229"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.2307/439852",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1070584327"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.2307/440290",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1070584601"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1177/001041407901200101",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1090757026"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1177/001041407901200101",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1090757026"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1177/001041407901200101",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1090757026"
],
"type": "CreativeWork"
}
],
"datePublished": "2009-01",
"datePublishedReg": "2009-01-01",
"description": "This paper estimates the incumbency effects using a large dataset on state legislative elections in India during 1975\u20132003. I use a Regression Discontinuity Design (RDD) that estimates the causal effect of incumbency by comparing candidates in closely fought elections. I find that there is a significant disadvantage to incumbency in Indian State legislative elections, and the adverse effect of incumbency has increased after 1991. Also, the incumbency disadvantage is higher in states that have lower availability of public goods such as health centers, and lower employment, poverty and per capita income.",
"genre": "research_article",
"id": "sg:pub.10.1007/s11127-008-9336-4",
"inLanguage": [
"en"
],
"isAccessibleForFree": true,
"isPartOf": [
{
"id": "sg:journal.1027434",
"issn": [
"0048-5829",
"1573-7101"
],
"name": "Public Choice",
"type": "Periodical"
},
{
"issueNumber": "1-2",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "138"
}
],
"name": "The disadvantaged incumbents: estimating incumbency effects in Indian state legislatures",
"pagination": "9-27",
"productId": [
{
"name": "readcube_id",
"type": "PropertyValue",
"value": [
"9b11fe13ba7eca5df2924768b212fcb86a2029ffdd82935be3071eeab5844f49"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1007/s11127-008-9336-4"
]
},
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1032551270"
]
}
],
"sameAs": [
"https://doi.org/10.1007/s11127-008-9336-4",
"https://app.dimensions.ai/details/publication/pub.1032551270"
],
"sdDataset": "articles",
"sdDatePublished": "2019-04-10T20:49",
"sdLicense": "https://scigraph.springernature.com/explorer/license/",
"sdPublisher": {
"name": "Springer Nature - SN SciGraph project",
"type": "Organization"
},
"sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8684_00000522.jsonl",
"type": "ScholarlyArticle",
"url": "http://link.springer.com/10.1007%2Fs11127-008-9336-4"
}
]Download the RDF metadata as: json-ld nt turtle xml License info
JSON-LD is a popular format for linked data which is fully compatible with JSON.
curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s11127-008-9336-4'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s11127-008-9336-4'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11127-008-9336-4'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11127-008-9336-4'
This table displays all metadata directly associated to this object as RDF triples.
158 TRIPLES
21 PREDICATES
59 URIs
19 LITERALS
7 BLANK NODES