Spatial econometrics :: qualitative and limited dependent variables /
Advances in Econometrics is a research annual whose editorial policy is to publish original research articles that contain enough details so that economists and econometricians who are not experts in the topics will find them accessible and useful in their research. Volume 37 exemplifies this focus...
Gespeichert in:
| Weitere Verfasser: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Bingley, UK :
Emerald Group Publishing Limited,
2017.
|
| Ausgabe: | First edition. |
| Schriftenreihe: | Advances in econometrics ;
volume 37. |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | Advances in Econometrics is a research annual whose editorial policy is to publish original research articles that contain enough details so that economists and econometricians who are not experts in the topics will find them accessible and useful in their research. Volume 37 exemplifies this focus by highlighting key research from new developments in econometrics. |
| Beschreibung: | 1 online resource |
| Bibliographie: | Includes bibliographical references. |
| ISBN: | 9781785609855 1785609858 |
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| contents | Progress in spatial modeling of discrete and continuous dependent variables -- Fast simulated maximum likelihood estimation of the spatial probit model capable of handling large samples -- Likelihood evaluation of high-dimensional spatial latent Gaussian models with non-Gaussian response variables -- The impact of storms on firm survival: a Bayesian spatial econometric model for firm survival -- Bayesian spatial bivariate panel probit estimation -- Estimating binary spatial autoregressive models for rare events -- A multivariate spatial analysis for anticipating new firm counts -- A multivariate spatial-time of day analysis of truck crash frequency across neighborhoods in New York City -- Group interaction in research and the use of general nesting spatial models -- How to measure spillover effects of public capital stock a spatial autoregressive stochastic frontier model -- Local marginal analysis of spatial data: a Gaussian process regression approach with Bayesian model and kernel averaging -- City and industry network impacts on innovation by Chinese manufacturing firms: a hierarchical spatial-interindustry model. |
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| indexdate | 2024-11-26T14:49:25Z |
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| spelling | Spatial econometrics : qualitative and limited dependent variables / edited by Badi H. Baltagi (Syracuse University, Syracuse, NY, USA), James P. Lesage (Texas State University, San Marcos, TX, USA), R. Kelley Pace (Louisiana State University, Baton Rouge, LA, USA). First edition. Bingley, UK : Emerald Group Publishing Limited, 2017. ©2017 1 online resource text txt rdacontent computer c rdamedia online resource cr rdacarrier data file rda Advances in econometrics ; volume 37 Online resource; title from PDF title page (EBSCO, viewed February 7, 2017). Includes bibliographical references. Progress in spatial modeling of discrete and continuous dependent variables -- Fast simulated maximum likelihood estimation of the spatial probit model capable of handling large samples -- Likelihood evaluation of high-dimensional spatial latent Gaussian models with non-Gaussian response variables -- The impact of storms on firm survival: a Bayesian spatial econometric model for firm survival -- Bayesian spatial bivariate panel probit estimation -- Estimating binary spatial autoregressive models for rare events -- A multivariate spatial analysis for anticipating new firm counts -- A multivariate spatial-time of day analysis of truck crash frequency across neighborhoods in New York City -- Group interaction in research and the use of general nesting spatial models -- How to measure spillover effects of public capital stock a spatial autoregressive stochastic frontier model -- Local marginal analysis of spatial data: a Gaussian process regression approach with Bayesian model and kernel averaging -- City and industry network impacts on innovation by Chinese manufacturing firms: a hierarchical spatial-interindustry model. Advances in Econometrics is a research annual whose editorial policy is to publish original research articles that contain enough details so that economists and econometricians who are not experts in the topics will find them accessible and useful in their research. Volume 37 exemplifies this focus by highlighting key research from new developments in econometrics. Econometrics. http://id.loc.gov/authorities/subjects/sh85040763 Spatial analysis (Statistics) http://id.loc.gov/authorities/subjects/sh85126347 Économétrie. Analyse spatiale (Statistique) spatial analysis. aat Econometrics. bicssc BUSINESS & ECONOMICS Economics General. bisacsh BUSINESS & ECONOMICS Reference. bisacsh Econometrics fast Spatial analysis (Statistics) fast Räumliche Statistik gnd http://d-nb.info/gnd/4386767-4 Raumwirtschaftstheorie gnd http://d-nb.info/gnd/4121557-6 Ökonometrisches Modell gnd http://d-nb.info/gnd/4043212-9 Baltagi, Badi H. (Badi Hani), editor. https://id.oclc.org/worldcat/entity/E39PBJtrRJgkJ8PRYhXW3VD6rq http://id.loc.gov/authorities/names/n87148047 LeSage, James P., editor. Pace, R. Kelley, editor. Print version: 9781785609855 Advances in econometrics ; volume 37. http://id.loc.gov/authorities/names/no98010995 FWS01 ZDB-4-EBU FWS_PDA_EBU https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1423719 Volltext |
| spellingShingle | Spatial econometrics : qualitative and limited dependent variables / Advances in econometrics ; Progress in spatial modeling of discrete and continuous dependent variables -- Fast simulated maximum likelihood estimation of the spatial probit model capable of handling large samples -- Likelihood evaluation of high-dimensional spatial latent Gaussian models with non-Gaussian response variables -- The impact of storms on firm survival: a Bayesian spatial econometric model for firm survival -- Bayesian spatial bivariate panel probit estimation -- Estimating binary spatial autoregressive models for rare events -- A multivariate spatial analysis for anticipating new firm counts -- A multivariate spatial-time of day analysis of truck crash frequency across neighborhoods in New York City -- Group interaction in research and the use of general nesting spatial models -- How to measure spillover effects of public capital stock a spatial autoregressive stochastic frontier model -- Local marginal analysis of spatial data: a Gaussian process regression approach with Bayesian model and kernel averaging -- City and industry network impacts on innovation by Chinese manufacturing firms: a hierarchical spatial-interindustry model. Econometrics. http://id.loc.gov/authorities/subjects/sh85040763 Spatial analysis (Statistics) http://id.loc.gov/authorities/subjects/sh85126347 Économétrie. Analyse spatiale (Statistique) spatial analysis. aat Econometrics. bicssc BUSINESS & ECONOMICS Economics General. bisacsh BUSINESS & ECONOMICS Reference. bisacsh Econometrics fast Spatial analysis (Statistics) fast Räumliche Statistik gnd http://d-nb.info/gnd/4386767-4 Raumwirtschaftstheorie gnd http://d-nb.info/gnd/4121557-6 Ökonometrisches Modell gnd http://d-nb.info/gnd/4043212-9 |
| subject_GND | http://id.loc.gov/authorities/subjects/sh85040763 http://id.loc.gov/authorities/subjects/sh85126347 http://d-nb.info/gnd/4386767-4 http://d-nb.info/gnd/4121557-6 http://d-nb.info/gnd/4043212-9 |
| title | Spatial econometrics : qualitative and limited dependent variables / |
| title_auth | Spatial econometrics : qualitative and limited dependent variables / |
| title_exact_search | Spatial econometrics : qualitative and limited dependent variables / |
| title_full | Spatial econometrics : qualitative and limited dependent variables / edited by Badi H. Baltagi (Syracuse University, Syracuse, NY, USA), James P. Lesage (Texas State University, San Marcos, TX, USA), R. Kelley Pace (Louisiana State University, Baton Rouge, LA, USA). |
| title_fullStr | Spatial econometrics : qualitative and limited dependent variables / edited by Badi H. Baltagi (Syracuse University, Syracuse, NY, USA), James P. Lesage (Texas State University, San Marcos, TX, USA), R. Kelley Pace (Louisiana State University, Baton Rouge, LA, USA). |
| title_full_unstemmed | Spatial econometrics : qualitative and limited dependent variables / edited by Badi H. Baltagi (Syracuse University, Syracuse, NY, USA), James P. Lesage (Texas State University, San Marcos, TX, USA), R. Kelley Pace (Louisiana State University, Baton Rouge, LA, USA). |
| title_short | Spatial econometrics : |
| title_sort | spatial econometrics qualitative and limited dependent variables |
| title_sub | qualitative and limited dependent variables / |
| topic | Econometrics. http://id.loc.gov/authorities/subjects/sh85040763 Spatial analysis (Statistics) http://id.loc.gov/authorities/subjects/sh85126347 Économétrie. Analyse spatiale (Statistique) spatial analysis. aat Econometrics. bicssc BUSINESS & ECONOMICS Economics General. bisacsh BUSINESS & ECONOMICS Reference. bisacsh Econometrics fast Spatial analysis (Statistics) fast Räumliche Statistik gnd http://d-nb.info/gnd/4386767-4 Raumwirtschaftstheorie gnd http://d-nb.info/gnd/4121557-6 Ökonometrisches Modell gnd http://d-nb.info/gnd/4043212-9 |
| topic_facet | Econometrics. Spatial analysis (Statistics) Économétrie. Analyse spatiale (Statistique) spatial analysis. BUSINESS & ECONOMICS Economics General. BUSINESS & ECONOMICS Reference. Econometrics Räumliche Statistik Raumwirtschaftstheorie Ökonometrisches Modell |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1423719 |
| work_keys_str_mv | AT baltagibadih spatialeconometricsqualitativeandlimiteddependentvariables AT lesagejamesp spatialeconometricsqualitativeandlimiteddependentvariables AT pacerkelley spatialeconometricsqualitativeandlimiteddependentvariables |