{"675406":{"#nid":"675406","#data":{"type":"event","title":"PhD Defense by Elizaveta Gonchar ","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EElizaveta Gonchar PhD Dissertation Defense Announcement\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cbr\u003E\u003Cstrong\u003EPhD Candidate:\u0026nbsp;\u003C\/strong\u003EElizaveta Gonchar\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EDissertation Title:\u003C\/strong\u003E\u0026nbsp;\u201cSpatial Dimensions of Economic Modeling: Interdisciplinary Approaches to Labor, Trade, and Networks\u201d\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EThis dissertation explores the spatial dimensions of economic modeling through three distinct yet interconnected papers, each employing interdisciplinary approaches to shed light on various aspects of labor, trade, and networks.\u003C\/p\u003E\u003Cp\u003EThe first paper investigates the heterogeneous impacts of the COVID-19 pandemic on domestic trade flows in Colombia. A novel trade exposure measure is constructed using an iterated factor analysis approach that integrates the spatial characteristics of municipalities. By employing a spatial autoregressive estimation technique, I demonstrate the presence of spatial spillovers. The analysis reveals substantial heterogeneity in the impact of the pandemic across municipalities, highlighting the importance of considering spatial factors and utilizing appropriate econometric methods in understanding trade dynamics during global shocks.\u003C\/p\u003E\u003Cp\u003EThe second paper develops a methodology to assess regional discrepancies and labor mobility in response to the CHIPS and Science Act. It quantifies occupational requirement sufficiency by comparing the skill profiles of different occupations. Using this measure in conjunction with the generalized two-part fractional regression model, which allows for examining factors associated with the occurrence and extent of occupational transitions while accounting for the bounded nature of transition probabilities, regional labor supply is estimated. The analysis demonstrates the presence of regional variations in skill composition, highlighting the importance of considering spatial factors in the design and implementation of industrial policies.\u003C\/p\u003E\u003Cp\u003EThe third paper introduces a new economic distance measure based on population and nightlights data that can be operationalized at any level of aggregation and can compute internal distance measures. This measure is constructed using granular spatial data and geographic information systems techniques and provides a scale-agnostic approach for incorporating distances in trade models. The paper applies this novel distance measure to two distinct cases: a cross-sectional analysis of trade flows within the United States and a panel data analysis of global trade flows. The time-varying nature of the proposed distance measure allows it to account for shifts in population and economic activity distributions, introducing responsiveness in the measure of distance used in trade analyses. The performance of this measure across the analyses considered, along with its compatibility with various trade flow considerations, underscores its potential to contribute to a more comprehensive understanding of trade patterns.\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ECommittee:\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EUsha Nair-Reichert (Advisor), Associate Professor, Georgia Institute of Technology\u003C\/p\u003E\u003Cp\u003ETibor Besedes, Mary S. and Richard B. Inman, Jr. Professor of Economics, Georgia Institute of Technology\u003C\/p\u003E\u003Cp\u003EKaren Yan, Assistant Professor, Georgia Institute of Technology\u003C\/p\u003E\u003Cp\u003EChristophe Combemale (external member), Associate Professor, Carnegie Mellon University\u003C\/p\u003E\u003Cp\u003EMostafa Beshkar (external member), Associate Professor, Indiana University\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EDate:\u0026nbsp;\u003C\/strong\u003EJuly 10, 2024\u003Cstrong\u003E\u0026nbsp;\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETime:\u0026nbsp;\u003C\/strong\u003E10:00 am \u2013 12:15 pm EDT\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELocation\u003C\/strong\u003E: Virtual (\u003Ca href=\u0022https:\/\/gatech.zoom.us\/j\/99341176360?pwd=SFJ3tgEQDXkq3ggSMjoBAIrC6GKa0X.1\u0022\u003EZoom link\u003C\/a\u003E)\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cdiv\u003E\u0026nbsp;\u003C\/div\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003ESpatial Dimensions of Economic Modeling: Interdisciplinary Approaches to Labor, Trade, and Networks\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Spatial Dimensions of Economic Modeling: Interdisciplinary Approaches to Labor, Trade, and Networks"}],"uid":"27707","created_gmt":"2024-07-09 15:45:24","changed_gmt":"2024-07-09 15:45:58","author":"Tatianna Richardson","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2024-07-10T10:00:00-04:00","event_time_end":"2024-07-16T12:00:00-04:00","event_time_end_last":"2024-07-16T12:00:00-04:00","gmt_time_start":"2024-07-10 14:00:00","gmt_time_end":"2024-07-16 16:00:00","gmt_time_end_last":"2024-07-16 16:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Virtual","extras":[],"groups":[{"id":"221981","name":"Graduate Studies"}],"categories":[],"keywords":[{"id":"100811","name":"Phd Defense"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1788","name":"Other\/Miscellaneous"}],"invited_audience":[{"id":"78771","name":"Public"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}}}