Download or read book Essays on Applications of Spatial Econometric Models written by Jihu Zhang and published by . This book was released on 2019 with total page 103 pages. Available in PDF, EPUB and Kindle. Book excerpt: It also empirically confirms and supports the theoretical work of previous studies in SAR modeling. Limited but considerable exogenous variables are discussed in this paper as well.

Download or read book Essays on Theories and Applications of Spatial Econometric Models written by Xu Lin and published by . This book was released on 2006 with total page 119 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: As an effective method in analyzing interdependence among the observations, the spatial autoregressive (SAR) models have witnessed ever-increasing applications. This dissertation intends to enrich both the spatial econometrics theory and the social interaction estimations. In the first essay, a SAR model with group unobservables is applied to analyze peer effects in student academic achievement. Unlike the linear-in-means model in Manski (1993), the SAR model can identify both endogenous and contextual social effects due to variations in the peer measurements, thus resolving the "reflection problem". The group fixed effects term captures the confounding effects of the common variables faced by the same group members. I use datasets from the National Longitudinal Study of Adolescent Health (Add Health) survey and specify peer groups as friendship networks. I find evidence for both endogenous and contextual effects, even after controlling for school-grade fixed effects. The result indicates that students benefit from the presence of high quality peers, and that associating with peers living with both parents helps improve a student's GPA, while associating with peers whose mothers receive welfare has a negative effect. The second essay considers the GMM estimation of SAR models with unknown heteroskedasticity. We show that MLE is inconsistent whereas GMM estimators obtained from certain moment conditions are robust. Asymptotically valid inferences can be drawn from the consistent covariance matrix estimator. And efficiency can be improved by constructing the optimal weighted GMM estimation. We also propose some general tests for heteroskedasticity. In the Monte Carlo study, 2SLS estimators have large variances and biases in finite samples for cases where regressors do not have strong effects. The robust GMM estimator has desirable properties while the biases associated with MLE and non-robust GMM estimator may remain in large sample, especially, for the spatial effect coefficient and the intercept term. However, the magnitudes of biases are only moderate and those biases may be statistically insignificant with moderate large sample sizes. The various approaches are applied to the study of county teenage pregnancy rates. The results suggest a strong spatial convergence among county teenage pregnancy rates with a significant spatial effect.

Download or read book Econometric Advances in Spatial Modelling and Methodology written by Daniel A. Griffith and published by Springer Science & Business Media. This book was released on 2013-04-17 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of models is not to fit the data but to sharpen the questions. S. Karlin, 11th R. A. Fisher Memorial Lecture, Royal Society, 20 April 1983 We are proud to offer this volume in honour of the remarkable career of the Father of Spatial Econometrics, Professor Jean Paelinck, presently of the Tinbergen Institute, Rotterdam. Not one to model solely for the sake of modelling, the above quotation nicely captures Professor Paelinck's unceasing quest for the best question for which an answer is needed. His FLEUR model has sharpened many spatial economics and spatial econometrics questions! Jean Paelinck, arguably, is the founder of modem spatial econometrics, penning the seminal introductory monograph on this topic, Spatial Econometrics, with Klaassen in 1979. In the General Address to the Dutch Statistical Association, on May 2, 1974, in Tilburg, "he coined the term [spatial econometrics] to designate a growing body of the regional science literature that dealt primarily with estimation and testing problems encountered in the implementation of multiregional econometric models" (Anselin, 1988, p. 7); he already had introduced this idea in his introductory report to the 1966 Annual Meeting of the Association de Science Regionale de Langue Fran~aise.

Download or read book Three Essays on Spatial Econometric Models with Missing Data written by Wei Wang and published by . This book was released on 2010 with total page 147 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: This dissertation is composed of three essays on spatial econometric models with missing data. Spatial models that have a long history in regional science and geography have received substantial attention in various areas of economics recently. Applications of spatial econometric models prevail in urban, developmental and labor economics among others. In practice, an issue that researchers often face is the missing data problem. Although many solutions such as list-wise deletion and EM algorithm can be found in literature, most of them are either not suited for spatial models or hard to apply due to technical difficulties. My research focuses on the estimation of the spatial econometric models in the presence of missing data problems. The first chapter develops a GMM method based on linear moments for the estimation of mixed regressive, spatial autoregressive (MRSAR) models with missing observations in the dependent variables. The estimation method uses the expectation of the missing data, as a function of the observed independent variables and the parameters to be estimated, to replace the missing data themselves in the estimation. The proposed GMM estimators are shown to be consistent and asymptotically normal. Feasible optimal weighting matrix for the GMM estimation is given. We extend our estimation method to MRSAR models with heteroskedastic disturbances, high order MRSAR models and unbalanced spatial panel data models with random effects as well. From these extensions, we see that the proposed GMM method has more compatibility, compared with the conventional EM algorithm. The second chapter considers a group interaction model first proposed by Lee (2006); this model is a special case of the spatial autoregressive (SAR) models. It is a first attempt to estimate the model in a more general random sample setting, i.e. a framework in which only a random sample rather than the whole population in a group is available. We incorporate group heteroskedasticity along with the endogenous, exogenous and group fixed effects in the model. We prove that, under some basic assumptions and certain identification conditions, the quasi maximum likelihood (QML) estimators are consistent and asymptotically normal when the functional form of the group heteroskedasticity is known. Two types of misspecifications are considered, and, under each, the estimators are inconsistent. We also propose IV estimation in the case that the group heteroskedasticity is unknown. A LM test of group heteroskedasticity is given at the end. The third chapter considers the same group interaction model as that in the second chapter, but focuses on the large group interaction case and uses a random effects setting for the group specific characters. A GMM estimation framework using moment conditions from both within and between equations is applied to the model. We prove that under some basic assumptions and certain identification conditions, the GMM estimators are consistent and asymptotically normal, and the convergence rates of the estimators are higher than those of the estimators derived from the within equations only. Feasible optimal GMM estimators are proposed.

Download or read book Advances in Spatial Econometrics written by Luc Anselin and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 516 pages. Available in PDF, EPUB and Kindle. Book excerpt: World-renowned experts in spatial statistics and spatial econometrics present the latest advances in specification and estimation of spatial econometric models. This includes information on the development of tools and software, and various applications. The text introduces new tests and estimators for spatial regression models, including discrete choice and simultaneous equation models. The performance of techniques is demonstrated through simulation results and a wide array of applications related to economic growth, international trade, knowledge externalities, population-employment dynamics, urban crime, land use, and environmental issues. An exciting new text for academics with a theoretical interest in spatial statistics and econometrics, and for practitioners looking for modern and up-to-date techniques.

Download or read book Spatial Econometrics written by Giuseppe Arbia and published by Springer Science & Business Media. This book was released on 2008-11-14 with total page 283 pages. Available in PDF, EPUB and Kindle. Book excerpt: Spatial Econometrics is a rapidly evolving field born from the joint efforts of economists, statisticians, econometricians and regional scientists. The book provides the reader with a broad view of the topic by including both methodological and application papers. Indeed the application papers relate to a number of diverse scientific fields ranging from hedonic models of house pricing to demography, from health care to regional economics, from the analysis of R&D spillovers to the study of retail market spatial characteristics. Particular emphasis is given to regional economic applications of spatial econometrics methods with a number of contributions specifically focused on the spatial concentration of economic activities and agglomeration, regional paths of economic growth, regional convergence of income and productivity and the evolution of regional employment. Most of the papers appearing in this book were solicited from the International Workshop on Spatial Econometrics and Statistics held in Rome (Italy) in 2006.

Download or read book A Primer for Spatial Econometrics written by G. Arbia and published by Springer. This book was released on 2014-06-30 with total page 161 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book aims at meeting the growing demand in the field by introducing the basic spatial econometrics methodologies to a wide variety of researchers. It provides a practical guide that illustrates the potential of spatial econometric modelling, discusses problems and solutions and interprets empirical results.

Download or read book Cross Sectional Dependence in Spatial Econometric Models written by Stefan Klotz and published by LIT Verlag Münster. This book was released on 2004 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is concerned with spatial dependence in econometric models, offering a work of reference to the applied researcher. In economics, spatial aspects are usually somewhat disregarded, which - as is shown and quantified here - may seriously impair research results. It presents the basic tool kit of treating cross sectional dependence, which typically occurs between spatial observations. The methods are introduced as straightforward enhancement of standard econometric models and methods, placing emphasis on the practical aspects of their features.

Download or read book Essays on Spatial Econometrics Application in Study of Conflict and Economic Activity written by Ahmed Sadek Yousuf and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Spatial interaction and the locational structure between observations as well as availability of satellite derived data has meant a richer and more exhaustive exploration of topics relevant in development topics, particularly in areas of subnational economic activity and conflict. This research leverages thus spatial econometric techniques to dynamically decompose impacts from socio-economic determinants on conflict incidence (with setting in Sub-Saharan Africa). Later I also present a statistical framework (based on extension of Henderson's approach (2012)) to augment official income figures at district / county level with multiple satellite derived signals, with specific context given to developing countries. In the first chapter, I look at the relationship and interplay between conflict intensity, foreign aid (in the form of geocoded World Bank Aid allocations) and economic activity (proxied by Sum of Lights, SOL, as gathered from satellite night lights sources), at the sub-national (provincial) level in Sub-Saharan Africa over 2000-13, using a Panel Vector Autoregression approach based on a multi-stage Continuous Updated Estimator GMM estimation strategy, and incorporating spatial effects amongst the concerned variables as well as in the model disturbances. I then decompose the derived impulse responses from this system into spatial direct and indirect responses. As per the findings, conflict intensity reacts (largely) positively to negative shocks in economic activity and World Bank Aid, with evidence of persistent spillover effects stemming from these aforementioned shocks. In the second chapter, following on from the first chapter, I specifically look at the impact of income inequality, derived from the spatial distribution of night lights raster and population raster data, on conflict incidence in Sub-Saharan Africa, using a Spatial Exponential Feedback Model approach (as opposed to the more standard Linear Feedback Model in the literature), based on Empirical Likelihood estimation. I also derive spatial direct and indirect impacts from changes in inequality, with direct responses fully dying away within 5 years while indirect response has an extent of in-built persistence. Thus, this chapter adds to the existing literature on conflict and income inequality by exploring the spatial dimension of the dynamics at play. Lastly, in the third chapter, a modified statistical method is presented, based on Henderson et al. (2012) where he looked at augmenting official national income growth measures by using satellite data on night lights. In the approach as presented here, a Method of Moments approach is introduced so as use multiple satellite signals, in addition to night lights, to augment income growth data at sub-national level. The two other signals are spread of non-vegetative cover and urban land cover data (derived from European Space Agency Climate Change Initiative Land Cover raster products). Three countries were studied with this approach: India, Indonesia and the U.S.

Download or read book Spatial Econometrics Methods and Models written by L. Anselin and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 295 pages. Available in PDF, EPUB and Kindle. Book excerpt: Spatial econometrics deals with spatial dependence and spatial heterogeneity, critical aspects of the data used by regional scientists. These characteristics may cause standard econometric techniques to become inappropriate. In this book, I combine several recent research results to construct a comprehensive approach to the incorporation of spatial effects in econometrics. My primary focus is to demonstrate how these spatial effects can be considered as special cases of general frameworks in standard econometrics, and to outline how they necessitate a separate set of methods and techniques, encompassed within the field of spatial econometrics. My viewpoint differs from that taken in the discussion of spatial autocorrelation in spatial statistics - e.g., most recently by Cliff and Ord (1981) and Upton and Fingleton (1985) - in that I am mostly concerned with the relevance of spatial effects on model specification, estimation and other inference, in what I caIl a model-driven approach, as opposed to a data-driven approach in spatial statistics. I attempt to combine a rigorous econometric perspective with a comprehensive treatment of methodological issues in spatial analysis.

Download or read book Essays in Spatial Econometrics written by Yang Yang (Econometrics researcher) and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Spatial econometrics models, especially the spatial autoregressive (SAR) model and its extension to panel settings had been used widely in empirical research in several different fields, especially when we need to capture the effects from networks. However, more empirical researchers are focusing on new questions where the linear spatial econometrics models could not handle. My dissertation tries to extend traditional models to capture two types of effect: risk spillover through financial networks and heterogeneous peer effect through social networks, and develops likelihood approach to estimate these models. Chapter 1 tries to incorporate risk spillover effect with GARCH type models. By introducing both intra-temporal and inter-temporal risk spillover through network, we propose a new multivariate conditional volatility model. For stationary case, the model can capture the dynamic of conditional heteroskedasticity structure when there are long-run stable links among multiple markets, and it is easy to be estimated consistently by QMLE approach. By Monte Carlo simulations, we show good finite sample performance when n/T → 0. When applying the model to monthly stock return innovations of 11 eurozone countries from March 1999 to April 2021, by using geographical and institutional links to capture the network between the countries, the performance of our model dominates single variate GARCH(1,1), EGARCH(1,1) and multivariate GARCH with both constant correlation and dynamic conditional correlation settings by likelihood values and AIC criteria. ii Chapter 2 considers social interaction models with group fixed effects and observed heterogeneity among agents. By likelihood approach, with the control of group-level confounding effects of the common variables, both heterogeneous endogenous peer effects and exogenous contextual effects can be identified and estimated consistently. Under some regularity assumptions, we prove the consistency and asymptotic normality of the QMLE. Monte Carlo simulation results show that our QMLE has good finite sample performance. For an application, we investigate the China Education Panel Survey (CEPS) and focus on gender heterogeneity on academic achievement of Grade 8 students in junior high school. We capture significant gender disparities in peer effects from gender subgroups in a classroom. Besides, female students’ test scores are more subject to both female and male peers’ average achievement.

Download or read book Spatial Econometrics written by Giuseppe Arbia and published by Springer Science & Business Media. This book was released on 2006-06-08 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book bridges the gap between economic theory and spatial econometric techniques. It is accessible to those with only a basic statistical background and no prior knowledge of spatial econometric methods. It provides a comprehensive treatment of the topic, motivating the reader with examples and analysis. The volume provides a rigorous treatment of the basic spatial linear model, and it discusses the violations of the classical regression assumptions that occur when dealing with spatial data.

Download or read book New Directions in Spatial Econometrics written by Luc Anselin and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: The promising new directions for research and applications described here include alternative model specifications, estimators and tests for regression models and new perspectives on dealing with spatial effects in models with limited dependent variables and space-time data.

Download or read book Essays on Spatial Econometrics written by Osman Dogan and published by . This book was released on 2015 with total page 538 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Spatial Econometrics using Microdata written by Jean Dubé and published by John Wiley & Sons. This book was released on 2014-11-10 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an introduction to spatial analyses concerning disaggregated (or micro) spatial data. Particular emphasis is put on spatial data compilation and the structuring of the connections between the observations. Descriptive analysis methods of spatial data are presented in order to identify and measure the spatial, global and local dependency. The authors then focus on autoregressive spatial models, to control the problem of spatial dependency between the residues of a basic linear statistical model, thereby contravening one of the basic hypotheses of the ordinary least squares approach. This book is a popularized reference for students looking to work with spatialized data, but who do not have the advanced statistical theoretical basics.

Download or read book Three Essays on Modeling Land Use Change and Spatial Econometric Analysis of Residential Property Value written by Huiyan Lin and published by . This book was released on 2006 with total page 142 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Spatial Econometric Interaction Modelling written by Roberto Patuelli and published by Springer. This book was released on 2016-07-25 with total page 466 pages. Available in PDF, EPUB and Kindle. Book excerpt: This contributed volume applies spatial and space-time econometric methods to spatial interaction modeling. The first part of the book addresses general cutting-edge methodological questions in spatial econometric interaction modeling, which concern aspects such as coefficient interpretation, constrained estimation, and scale effects. The second part deals with technical solutions to particular estimation issues, such as intraregional flows, Bayesian PPML and VAR estimation. The final part presents a number of empirical applications, ranging from interregional tourism competition and domestic trade to space-time migration modeling and residential relocation.