Negate Facet Value Filter Command
Syntax
The negate facet value filter command uses the following syntax:
negateFacetValueFilter(<facetField>[, <value>])
The default value for value is all values, if unspecified.
Function
The negate facet value filter command negates the facet value filter specified if a value is present. If no value is present and only a facet field is given then all facet value filters for that facet field will be negated. After negating facet value filters, this command calls clearAllPaging().
Example – Using the add facet value filter command
The following negate facet value filter command negates all ContentType facet value filters, and negates the north america SubjectTerms facet value filter, and it resets paging on the facet fields and page number:
s.pn=3&s.ff=ContentType,or,2,15&s.ff=SubjectTerms,and,2,15&s.fvf=ContentType,Book
&s.fvf=ContentType,Journal+Article&s.fvf=SubjectTerms,north+america&s.fvf=SubjectTerms,u.s
&s.cmd=negateFacetValueFilter(ContentType)+negateFacetValueFilter(SubjectTerms,north+america)
Example response
s.pn=3&s.ff=ContentType,or,2,15&s.ff=SubjectTerms,and,2,15&s.fvf=ContentType,Book&s.fvf=ContentType,Journal+Article&s.fvf=SubjectTerms,north+america&s.fvf=SubjectTerms,u.s&s.cmd=negateFacetValueFilter(ContentType)+negateFacetValueFilter(SubjectTerms,north+america)
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"queryTime":200,
"totalRequestTime":470,
"pageCount":28560,
"recordCount":285598,
"query":{
"queryString":"s.fvf=SubjectTerms%2Cu.s%2Cf&s.secure=f&s.ff=SubjectTerms%2Cand%2C1%2C15",
"pageNumber":1,
"pageSize":10,
"textQueries":[
],
"searchTerms":[
],
"textFilters":[
],
"rangeFilters":[
],
"facetValueFilters":[
{
"fieldName":"SubjectTerms",
"value":"u.s",
"isNegated":false,
"removeCommand":"removeFacetValueFilter(SubjectTerms,u.s)",
"negateCommand":"negateFacetValueFilter(SubjectTerms,u.s)"
}
],
"inclusiveFacetValueFilters":[
],
"facetValueGroupFilters":[
],
"facetFields":[
{
"fieldName":"SubjectTerms",
"combineMode":"and",
"pageNumber":1,
"pageSize":15,
"removeCommand":"removeFacetField(SubjectTerms)"
}
],
"rangeFacetFields":[
],
"sort":[
]
},
"facetFields":[
{
"fieldName":"SubjectTerms_mfacet",
"displayName":"SubjectTerms",
"combineMode":"and",
"pageNumber":1,
"pageSize":15,
"hasLimitingValue":true,
"hasAppliedValue":true,
"removeCommand":"removeFacetField(SubjectTerms)",
"listValuesCommand":"listFacetValues(SubjectTerms,and)",
"removeValueFiltersCommand":"removeFacetValueFilter(SubjectTerms)",
"counts":[
{
"value":"u.s",
"count":285598,
"isApplied":true,
"isNegated":false,
"isFurtherLimiting":false,
"removeCommand":"removeFacetValueFilter(SubjectTerms,u.s)",
"negateCommand":"negateFacetValueFilter(SubjectTerms,u.s)"
},
{
"value":"northern america",
"count":280646,
"isApplied":false,
"isNegated":false,
"isFurtherLimiting":true,
"applyCommand":"addFacetValueFilters(SubjectTerms,northern america)",
"applyNegatedCommand":"addFacetValueFilters(SubjectTerms,northern america:t)"
},
{
"value":"economics",
"count":80650,
"isApplied":false,
"isNegated":false,
"isFurtherLimiting":true,
"applyCommand":"addFacetValueFilters(SubjectTerms,economics)",
"applyNegatedCommand":"addFacetValueFilters(SubjectTerms,economics:t)"
},
{
"value":"studies",
"count":72741,
"isApplied":false,
"isNegated":false,
"isFurtherLimiting":true,
"applyCommand":"addFacetValueFilters(SubjectTerms,studies)",
"applyNegatedCommand":"addFacetValueFilters(SubjectTerms,studies:t)"
},
{
"value":"u.s.a",
"count":28756,
"isApplied":false,
"isNegated":false,
"isFurtherLimiting":true,
"applyCommand":"addFacetValueFilters(SubjectTerms,u.s.a)",
"applyNegatedCommand":"addFacetValueFilters(SubjectTerms,u.s.a:t)"
},
{
"value":"analysis",
"count":28755,
"isApplied":false,
"isNegated":false,
"isFurtherLimiting":true,
"applyCommand":"addFacetValueFilters(SubjectTerms,analysis)",
"applyNegatedCommand":"addFacetValueFilters(SubjectTerms,analysis:t)"
},
{
"value":"europe",
"count":26899,
"isApplied":false,
"isNegated":false,
"isFurtherLimiting":true,
"applyCommand":"addFacetValueFilters(SubjectTerms,europe)",
"applyNegatedCommand":"addFacetValueFilters(SubjectTerms,europe:t)"
},
{
"value":"article",
"count":25311,
"isApplied":false,
"isNegated":false,
"isFurtherLimiting":true,
"applyCommand":"addFacetValueFilters(SubjectTerms,article)",
"applyNegatedCommand":"addFacetValueFilters(SubjectTerms,article:t)"
},
{
"value":"united states",
"count":23855,
"isApplied":false,
"isNegated":false,
"isFurtherLimiting":true,
"applyCommand":"addFacetValueFilters(SubjectTerms,united states)",
"applyNegatedCommand":"addFacetValueFilters(SubjectTerms,united states:t)"
},
{
"value":"united states--us",
"count":23247,
"isApplied":false,
"isNegated":false,
"isFurtherLimiting":true,
"applyCommand":"addFacetValueFilters(SubjectTerms,united states--us)",
"applyNegatedCommand":"addFacetValueFilters(SubjectTerms,united states--us:t)"
},
{
"value":"research",
"count":19194,
"isApplied":false,
"isNegated":false,
"isFurtherLimiting":true,
"applyCommand":"addFacetValueFilters(SubjectTerms,research)",
"applyNegatedCommand":"addFacetValueFilters(SubjectTerms,research:t)"
},
{
"value":"economic models",
"count":18713,
"isApplied":false,
"isNegated":false,
"isFurtherLimiting":true,
"applyCommand":"addFacetValueFilters(SubjectTerms,economic models)",
"applyNegatedCommand":"addFacetValueFilters(SubjectTerms,economic models:t)"
},
{
"value":"business, finance",
"count":17725,
"isApplied":false,
"isNegated":false,
"isFurtherLimiting":true,
"applyCommand":"addFacetValueFilters(SubjectTerms,business\\, finance)",
"applyNegatedCommand":"addFacetValueFilters(SubjectTerms,business\\, finance:t)"
},
{
"value":"models",
"count":16016,
"isApplied":false,
"isNegated":false,
"isFurtherLimiting":true,
"applyCommand":"addFacetValueFilters(SubjectTerms,models)",
"applyNegatedCommand":"addFacetValueFilters(SubjectTerms,models:t)"
},
{
"value":"economic theory",
"count":15723,
"isApplied":false,
"isNegated":false,
"isFurtherLimiting":true,
"applyCommand":"addFacetValueFilters(SubjectTerms,economic theory)",
"applyNegatedCommand":"addFacetValueFilters(SubjectTerms,economic theory:t)"
}
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" This paper investigates the returns to scale of large banks in the US over the period 1997-2010. This investigation is performed by estimating a random coefficient stochastic distance frontier model in the spirit of Tsionas (2002) and Greene (2005, 2008). The primary advantage of this model is that its coefficients can vary across banks, thereby allowing for unobserved technology heterogeneity among large banks in the US We find that failure to consider unobserved technology heterogeneity results in a misleading ranking of banks and mismeasured returns to scale. Our results show that the majority of large banks in the US exhibit constant returns to scale. In addition, our results suggest that banks of the same size can have different levels of returns to scale and there is no clear pattern among large banks in the US concerning the relationship between asset size and returns to scale, due to the presence of technology heterogeneity. [PUBLICATION ABSTRACT]",
"This paper investigates the returns to scale of large banks in the US over the period 1997-2010. This investigation is performed by estimating a random coefficient stochastic distance frontier model in the spirit of Tsionas (2002) and Greene (2005, 2008). The primary advantage of this model is that its coefficients can vary across banks, thereby allowing for unobserved technology heterogeneity among large banks in the US. We find that failure to consider unobserved technology heterogeneity results in a misleading ranking of banks and mismeasured returns to scale. Our results show that the majority of large banks in the US exhibit constant returns to scale. In addition, our results suggest that banks of the same size can have different levels of returns to scale and there is no clear pattern among large banks in the US concerning the relationship between asset size and returns to scale, due to the presence of technology heterogeneity."
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{
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{
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{
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{
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{
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"fullname":"Färe"
}
},
{
"volume":"26",
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"issue":"3",
"year":"1995",
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{
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"contributor":{
"fullname":"Sealey"
}
},
{
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"contributor":{
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},
{
"volume":"79",
"start-page":"169",
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"ident":"10.1016/j.jbankfin.2013.10.012_b0085",
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"fullname":"Fernandez"
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},
{
"volume":"64",
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"contributor":{
"fullname":"Spiegelhalter"
}
},
{
"volume":"18",
"start-page":"5",
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"ident":"10.1016/j.jbankfin.2013.10.012_b0125",
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"publication-title":"J. Prod. Anal.",
"contributor":{
"fullname":"Orea"
}
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{
"volume":"36",
"start-page":"1883",
"issue":"7",
"year":"2012",
"ident":"10.1016/j.jbankfin.2013.10.012_b0080",
"article-title":"Productivity and efficiency at large and community banks in the US: a Bayesian true random effects stochastic distance frontier analysis",
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"contributor":{
"fullname":"Feng"
}
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{
"volume":"105",
"start-page":"353",
"issue":"2",
"year":"2012",
"ident":"10.1016/j.jbankfin.2013.10.012_b0030",
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"contributor":{
"fullname":"Canales"
}
},
{
"volume":"17",
"start-page":"31",
"year":"2005",
"ident":"10.1016/j.jbankfin.2013.10.012_b0100",
"article-title":"Consolidation in the US banking industry: is the long, strange trip about to end?",
"publication-title":"FDIC Bank. Rev.",
"contributor":{
"fullname":"Jones"
}
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{
"volume":"50",
"start-page":"1393",
"year":"1982",
"ident":"10.1016/j.jbankfin.2013.10.012_b0035",
"article-title":"The economic theory of index numbers and the measurement of input, output, and productivity",
"publication-title":"Econometrica",
"contributor":{
"fullname":"Caves"
}
},
{
"volume":"153",
"start-page":"21",
"year":"2009",
"ident":"10.1016/j.jbankfin.2013.10.012_b0165",
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}
},
{
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}
},
{
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"contributor":{
"fullname":"Diewert"
}
},
{
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"start-page":"57",
"year":"2003",
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"contributor":{
"fullname":"Berger"
}
},
{
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"start-page":"219",
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"fullname":"Rossi"
}
},
{
"volume":"17",
"start-page":"127",
"year":"2002",
"ident":"10.1016/j.jbankfin.2013.10.012_b0160",
"article-title":"Stochastic frontier models with random coefficients",
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"contributor":{
"fullname":"Tsionas"
}
},
{
"volume":"28",
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"year":"1973",
"ident":"10.1016/j.jbankfin.2013.10.012_b0045",
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"fullname":"Daniel"
}
},
{
"volume":"84",
"start-page":"66",
"year":"1994",
"ident":"10.1016/j.jbankfin.2013.10.012_b0070",
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"fullname":"Färe"
}
},
{
"volume":"23",
"start-page":"135",
"year":"1999",
"ident":"10.1016/j.jbankfin.2013.10.012_b0010",
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"contributor":{
"fullname":"Berger"
}
},
{
"volume":"76",
"start-page":"237",
"year":"2005",
"ident":"10.1016/j.jbankfin.2013.10.012_b0025",
"article-title":"Does function follow organizational form? Evidence from the lending practices of large and small banks",
"publication-title":"J. Financ. Econ.",
"contributor":{
"fullname":"Berger"
}
}
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"SubjectTerms":[
"Northern America",
"Production, Cost, Capital, Capital, Total Factor, and Multifactor Productivity, Capacity (D24)",
"Firm Performance: Size, Diversification, and Scope (L25)",
"Bank",
"U.S",
"Banks, Depository Institutions, Micro Finance Institutions, Mortgages (G21)",
"Returns to Scale",
"Banks (Finance)",
"Big business",
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"Bank technology",
"Stochastic models",
"Economies of scale",
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"References":[
"Akhavein (10.1016/j.jbankfin.2013.10.012_b0005) 2005; 78",
"Greene (10.1016/j.jbankfin.2013.10.012_b0095) 2008",
"Shephard (10.1016/j.jbankfin.2013.10.012_b0145) 1970",
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"This study empirically investigates traffic congestion effects on agglomeration through the lens of firm location decisions. A discrete choice model is applied to examine new establishments' location choices within the Los Angeles metropolitan area. Employment centers are defined as the choice set to explore the nature and role of intraurban agglomerations. The results show that metro-wide congestion negatively affects the location choices of firms in the high-order office-related activities, while local congestion have positive impacts on those firms' location decisions. In contrast, firms in production-related activities are positively influenced by regional congestion but are negatively affected by local congestion levels.",
"This study empirically investigates traffic congestion effects on agglomeration through the lens of firm location decisions. A discrete choice model is applied to examine new establishments’ location choices within the Los Angeles metropolitan area. Employment centers are defined as the choice set to explore the nature and role of intraurban agglomerations. The results show that metro‐wide congestion negatively affects the location choices of firms in the high‐order office‐related activities, while local congestion have positive impacts on those firms’ location decisions. In contrast, firms in production‐related activities are positively influenced by regional congestion but are negatively affected by local congestion levels.",
" This study empirically investigates traffic congestion effects on agglomeration through the lens of firm location decisions. A discrete choice model is applied to examine new establishments' location choices within the Los Angeles metropolitan area. Employment centers are defined as the choice set to explore the nature and role of intraurban agglomerations. The results show that metro-wide congestion negatively affects the location choices of firms in the high-order office-related activities, while local congestion have positive impacts on those firms' location decisions. In contrast, firms in production-related activities are positively influenced by regional congestion but are negatively affected by local congestion levels. [web URL: http://onlinelibrary.wiley.com/doi/10.1111/jors.12267/full]",
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"This study empirically investigates traffic congestion effects on agglomeration through the lens of firm location decisions. A discrete choice model is applied to examine new establishments’ location choices within the Los Angeles metropolitan area. Employment centers are defined as the choice set to explore the nature and role of intraurban agglomerations. The results show that metro‐wide congestion negatively affects the location choices of firms in the high‐order office‐related activities, while local congestion have positive impacts on those firms’ location decisions. In contrast, firms in production‐related activities are positively influenced by regional congestion but are negatively affected by local congestion levels."
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