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/2008/14", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Economics", 
        "type": "DefinedTerm"
      }, 
      {
        "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/2008/1403", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Econometrics", 
        "type": "DefinedTerm"
      }
    ], 
    "datePublished": "1990", 
    "datePublishedReg": "1990-01-01", 
    "description": "The purpose of this volume is to honour a pioneer in the field of econometrics, A. L. Nagar, on the occasion of his sixtieth birthday. Fourteen econometricians from six countries on four continents have contributed to this project. One of us was his teacher, some of us were his students, many of us were his colleagues, all of us are his friends. Our volume opens with a paper by L. R. Klein which discusses the meaning and role of exogenous variables in struc\u00ad tural and vector-autoregressive econometric models. Several examples from recent macroeconomic history are presented and the notion of Granger-causality is discussed. This is followed by two papers dealing with an issue of considerable relevance to developing countries, such as India; the measurement of the inequality in the distribution of income. The paper by C. T. West and H. Theil deals with the problem of measuring inequality of all components of total income vvithin a region, rather than just labour income. It applies its results to the regions of the United States. The second paper in this group, by N. Kakwani, derives the large-sample distributions of several popular inequality measures, thus providing a method for drawing large-sample inferences about the differences in inequality between regions. The techniques are applied to the regions of Cote d'Ivoire. The next group of papers is devoted to econometric theory in the context of the dynamic, simultaneous, linear equations model. The first, by P. J.", 
    "genre": "book", 
    "id": "sg:pub.10.1007/978-1-4613-9016-9", 
    "inLanguage": "en", 
    "isAccessibleForFree": false, 
    "isbn": [
      "978-1-4613-9018-3", 
      "978-1-4613-9016-9"
    ], 
    "keywords": [
      "econometric theory", 
      "distribution of income", 
      "popular inequality measures", 
      "field of econometrics", 
      "labor income", 
      "econometric model", 
      "macroeconomic history", 
      "inequality measures", 
      "Granger causality", 
      "R. Klein", 
      "exogenous variables", 
      "linear equation model", 
      "Cote d'Ivoire", 
      "large sample distribution", 
      "income", 
      "inequality", 
      "large sample inference", 
      "countries", 
      "equation model", 
      "econometrics", 
      "econometricians", 
      "Kakwani", 
      "Theil", 
      "United States", 
      "considerable relevance", 
      "theory", 
      "model", 
      "India", 
      "variables", 
      "second paper", 
      "d'Ivoire", 
      "measures", 
      "inference", 
      "Klein", 
      "next group", 
      "issues", 
      "context", 
      "pioneers", 
      "purpose", 
      "contribution", 
      "relevance", 
      "distribution", 
      "region", 
      "notion", 
      "project", 
      "continent", 
      "state", 
      "essay", 
      "volume", 
      "West", 
      "problem", 
      "role", 
      "example", 
      "results", 
      "differences", 
      "honor", 
      "sixtieth birthday", 
      "friends", 
      "birthday", 
      "components", 
      "group", 
      "method", 
      "meaning", 
      "Nagar", 
      "history", 
      "students", 
      "colleagues", 
      "applications", 
      "occasions", 
      "technique", 
      "field", 
      "measurements", 
      "teachers", 
      "paper", 
      "T. West"
    ], 
    "name": "Contributions to Econometric Theory and Application, Essays in Honour of A.L. Nagar", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1008119995"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-1-4613-9016-9"
        ]
      }
    ], 
    "publisher": {
      "name": "Springer Nature", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-1-4613-9016-9", 
      "https://app.dimensions.ai/details/publication/pub.1008119995"
    ], 
    "sdDataset": "books", 
    "sdDatePublished": "2022-06-01T22:26", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220601/entities/gbq_results/book/book_21.jsonl", 
    "type": "Book", 
    "url": "https://doi.org/10.1007/978-1-4613-9016-9"
  }
]

Download the RDF metadata as:  json-ld nt turtle xml License info

This table displays all metadata directly associated to this object as RDF triples.

118 TRIPLES      20 PREDICATES      100 URIs      92 LITERALS      4 BLANK NODES