{"id":{"repo_id":"cape-town","oai_identifier":"oai:open.uct.ac.za:11427/11178"},"canonical_url":"https://search.dev.ndltd.org/etd/cape-town/oai:open.uct.ac.za:11427/11178","repository":{"repo_id":"cape-town","name":"University of Cape Town","base_url":"https://open.uct.ac.za/oai/request"},"display":{"title":"Military spending, economic growth and endogeneity a panel analysis 1988-2010","abstract":"This paper examines the impact of military expenditure on economic growth on a large balanced panel, using an exogenous growth model and dynamic panel data methods for 104 countries over the period 1988-2010. The prime objective of the paper is to consider the possibility of non-linearity, group heterogeneity and endogeneity within the sample. Having estimated and appraised a full sample, it is stratified based upon a range of potentially relevant factors; different levels of income, conflict experience, natural resource abundance, openness and aid. Following the stratification process, a set of instrumental variables are taken for military spending. Using 2SLS and a dynamic Generalized Method of Moments (GMM) method, the sample is regressed to identify for military expenditure.","abstract_html":"This paper examines the impact of military expenditure on economic growth on a large balanced panel, using an exogenous growth model and dynamic panel data methods for 104 countries over the period 1988-2010. The prime objective of the paper is to consider the possibility of non-linearity, group heterogeneity and endogeneity within the sample. Having estimated and appraised a full sample, it is stratified based upon a range of potentially relevant factors; different levels of income, conflict experience, natural resource abundance, openness and aid. Following the stratification process, a set of instrumental variables are taken for military spending. Using 2SLS and a dynamic Generalized Method of Moments (GMM) method, the sample is regressed to identify for military expenditure.","abstract_has_math":false,"creators":["Tian, Nan"],"institution":"School of Economics","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":["Dunne, John Paul"],"committee_chairs":[],"committee_members":[],"year":2013,"date_issued":"2013","date_published":"2013","updated_at":"2026-07-22T22:22:49Z","subjects":[],"languages":["eng"],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/11427/11178","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Dunne, John Paul"]},{"key":"dc:creator","label":"Author","values":["Tian, Nan"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2015-01-03T18:15:55Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2015-01-03T18:15:55Z"]},{"key":"dc:date.issued","label":"Date","values":["2013"]},{"key":"dc:publisher.department","label":"Dc Publisher Department","values":["School of Economics"]},{"key":"dc:publisher.institution","label":"Dc Publisher Institution","values":["University of Cape Town"]},{"key":"dc:type","label":"Dc Type","values":["Master Thesis"]},{"key":"dc:type.qualificationlevel","label":"Dc Type Qualificationlevel","values":["Masters"]},{"key":"dc:type.qualificationname","label":"Dc Type Qualificationname","values":["MBusSc"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["eng"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["http://hdl.handle.net/11427/11178"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Includes bibliographical references."]},{"key":"dc:description.abstract","label":"Abstract","values":["This paper examines the impact of military expenditure on economic growth on a large balanced panel, using an exogenous growth model and dynamic panel data methods for 104 countries over the period 1988-2010. The prime objective of the paper is to consider the possibility of non-linearity, group heterogeneity and endogeneity within the sample. Having estimated and appraised a full sample, it is stratified based upon a range of potentially relevant factors; different levels of income, conflict experience, natural resource abundance, openness and aid. Following the stratification process, a set of instrumental variables are taken for military spending. Using 2SLS and a dynamic Generalized Method of Moments (GMM) method, the sample is regressed to identify for military expenditure."]},{"key":"dc:title","label":"Title","values":["Military spending, economic growth and endogeneity a panel analysis 1988-2010"]}]}],"canonical_facts":{"dc:contributor.advisor":["Dunne, John Paul"],"dc:creator":["Tian, Nan"],"dc:date.accessioned":["2015-01-03T18:15:55Z"],"dc:date.available":["2015-01-03T18:15:55Z"],"dc:date.issued":["2013"],"dc:description":["Includes bibliographical references."],"dc:description.abstract":["This paper examines the impact of military expenditure on economic growth on a large balanced panel, using an exogenous growth model and dynamic panel data methods for 104 countries over the period 1988-2010. The prime objective of the paper is to consider the possibility of non-linearity, group heterogeneity and endogeneity within the sample. Having estimated and appraised a full sample, it is stratified based upon a range of potentially relevant factors; different levels of income, conflict experience, natural resource abundance, openness and aid. Following the stratification process, a set of instrumental variables are taken for military spending. Using 2SLS and a dynamic Generalized Method of Moments (GMM) method, the sample is regressed to identify for military expenditure."],"dc:identifier.uri":["http://hdl.handle.net/11427/11178"],"dc:language.iso":["eng"],"dc:publisher.department":["School of Economics"],"dc:publisher.institution":["University of Cape Town"],"dc:title":["Military spending, economic growth and endogeneity a panel analysis 1988-2010"],"dc:type":["Master Thesis"],"dc:type.qualificationlevel":["Masters"],"dc:type.qualificationname":["MBusSc"]},"updated_at":"2026-07-22T22:22:49Z"}