Shift-Share Analysis: South Carolina, 2005 - 2018,
2020
West Virginia University
Shift-Share Analysis: South Carolina, 2005 - 2018, Randall Jackson, Péter Járosi
Shift Share Analyses
In County-level CIE Supply Chain Analysis, the second of five parts of An Economic Analysis of the Appalachian Coal Industry Ecosystem posted to the Commission’s website in January of 2018, we developed a set of metrics that were used to provide insights on the past and future supply chain implications of long-term coal industry decline in Appalachia.[1] These metrics were used to identify counties that have been heavily impacted by the decline of the coal industry, those that remain dependent on the coal industry ecosystem (CIE), and among the dependent counties, those that are at greatest risk of further impact. …
Shift-Share Analysis: Virginia, 2005 - 2018,
2020
West Virginia University
Shift-Share Analysis: Virginia, 2005 - 2018, Randall Jackson, Péter Járosi
Shift Share Analyses
In County-level CIE Supply Chain Analysis, the second of five parts of n Economic Analysis of the Appalachian Coal Industry Ecosystem posted to the Commission’s website in January of 2018, we developed a set of metrics that were used to provide insights on the past and future supply chain implications of long-term coal industry decline in Appalachia.[1] These metrics were used to identify counties that have been heavily impacted by the decline of the coal industry, those that remain dependent on the coal industry ecosystem (CIE), and among the dependent counties, those that are at greatest risk of further impact. …
Shift-Share Analysis: Ohio, 2005 - 2018,
2020
West Virginia University
Shift-Share Analysis: Ohio, 2005 - 2018, Randall Jackson, Péter Járosi
Shift Share Analyses
In County-level CIE Supply Chain Analysis, the second of five parts of An Economic Analysis of the Appalachian Coal Industry Ecosystem posted to the Commission’s website in January of 2018, we developed a set of metrics that were used to provide insights on the past and future supply chain implications of long-term coal industry decline in Appalachia.[1] These metrics were used to identify counties that have been heavily impacted by the decline of the coal industry, those that remain dependent on the coal industry ecosystem (CIE), and among the dependent counties, those that are at greatest risk of further impact. …
Shift-Share Analysis: Tennessee, 2005 - 2018,
2020
West Virginia University
Shift-Share Analysis: Tennessee, 2005 - 2018, Randall Jackson, Péter Járosi
Shift Share Analyses
In County-level CIE Supply Chain Analysis, the second of five parts o f An Economic Analysis of the Appalachian Coal Industry Ecosystem posted to the Commission’s website in January of 2018, we developed a set of metrics that were used to provide insights on the past and future supply chain implications of long-term coal industry decline in Appalachia.[1] These metrics were used to identify counties that have been heavily impacted by the decline of the coal industry, those that remain dependent on the coal industry ecosystem (CIE), and among the dependent counties, those that are at greatest risk of further …
Shift-Share Analysis: West Virginia, 2005 - 2018,
2020
West Virginia University
Shift-Share Analysis: West Virginia, 2005 - 2018, Randall Jackson, Péter Járosi
Shift Share Analyses
In County-level CIE Supply Chain Analysis, the second of five parts of An Economic Analysis of the Appalachian Coal Industry Ecosystem posted to the Commission’s website in January of 2018, we developed a set of metrics that were used to provide insights on the past and future supply chain implications of long-term coal industry decline in Appalachia.[1] These metrics were used to identify counties that have been heavily impacted by the decline of the coal industry, those that remain dependent on the coal industry ecosystem (CIE), and among the dependent counties, those that are at greatest risk of further impact. …
Shift-Share Analysis: Alabama, 2005 - 2018,
2020
West Virginia University
Shift-Share Analysis: Alabama, 2005 - 2018, Randall Jackson, Peter Jarosi
Shift Share Analyses
In County-level CIE Supply Chain Analysis, the second of five parts of An Economic Analysis of the Appalachian Coal Industry Ecosystem posted to the Commission’s website in January of 2018, we developed a set of metrics that were used to provide insights on the past and future supply chain implications of long-term coal industry decline in Appalachia.[1] These metrics were used to identify counties that have been heavily impacted by the decline of the coal industry, those that remain dependent on the coal industry ecosystem (CIE), and among the dependent counties, those that are at greatest risk of further impact. …
Shift-Share Analysis: Pennsylvania, 2005 - 2018,
2020
West Virginia University
Shift-Share Analysis: Pennsylvania, 2005 - 2018, Randall Jackson, Péter Járosi
Shift Share Analyses
In County-level CIE Supply Chain Analysis, the second of five parts of An Economic Analysis of the Appalachian Coal Industry Ecosystem posted to the Commission’s website in January of 2018, we developed a set of metrics that were used to provide insights on the past and future supply chain implications of long-term coal industry decline in Appalachia.[1] These metrics were used to identify counties that have been heavily impacted by the decline of the coal industry, those that remain dependent on the coal industry ecosystem (CIE), and among the dependent counties, those that are at greatest risk of further impact. …
Shift-Share Analysis: North Carolina, 2005 - 2018,
2020
West Virginia University
Shift-Share Analysis: North Carolina, 2005 - 2018, Randall Jackson, Péter Járosi
Shift Share Analyses
In County-level CIE Supply Chain Analysis, the second of five parts of An Economic Analysis of the Appalachian Coal Industry Ecosystem posted to the Commission’s website in January of 2018, we developed a set of metrics that were used to provide insights on the past and future supply chain implications of long-term coal industry decline in Appalachia.[1] These metrics were used to identify counties that have been heavily impacted by the decline of the coal industry, those that remain dependent on the coal industry ecosystem (CIE), and among the dependent counties, those that are at greatest risk of further impact. …
Shift-Share Analysis: Georgia, 2005 - 2018,
2020
West Virginia University
Shift-Share Analysis: Georgia, 2005 - 2018, Randall Jackson, Péter Járosi
Shift Share Analyses
In County-level CIE Supply Chain Analysis, the second of five parts of An Economic Analysis of the Appalachian Coal Industry Ecosystem posted to the Commission’s website in January of 2018, we developed a set of metrics that were used to provide insights on the past and future supply chain implications of long-term coal industry decline in Appalachia.[1] These metrics were used to identify counties that have been heavily impacted by the decline of the coal industry, those that remain dependent on the coal industry ecosystem (CIE), and among the dependent counties, those that are at greatest risk of further impact. …
Shift-Share Analysis: Mississippi, 2005 - 2018,
2020
West Virginia University
Shift-Share Analysis: Mississippi, 2005 - 2018, Randall Jackson, Péter Járosi
Shift Share Analyses
In County-level CIE Supply Chain Analysis, the second of five parts of An Economic Analysis of the Appalachian Coal Industry Ecosystem posted to the Commission’s website in January of 2018, we developed a set of metrics that were used to provide insights on the past and future supply chain implications of long-term coal industry decline in Appalachia.[1] These metrics were used to identify counties that have been heavily impacted by the decline of the coal industry, those that remain dependent on the coal industry ecosystem (CIE), and among the dependent counties, those that are at greatest risk of further impact. …
Shift-Share Analysis: Kentucky, 2005 - 2018,
2020
West Virginia University
Shift-Share Analysis: Kentucky, 2005 - 2018, Randall Jackson, Péter Járosi
Shift Share Analyses
In County-level CIE Supply Chain Analysis, the second of five p arts o f An Economic Analysis of the Appalachian Coal Industry Ecosystem posted to the Commission’s website in January of 2018, we developed a set of metrics that were used to provide insights on the past and future supply chain implications of long-term coal industry decline in Appalachia.[1] These metrics were used to identify counties that have been heavily impacted by the decline of the coal industry, those that remain dependent on the coal industry ecosystem (CIE), and among the dependent counties, those that are at greatest risk of …
Shift-Share Analysis: Maryland, 2005 - 2018,
2020
West Virginia University
Shift-Share Analysis: Maryland, 2005 - 2018, Randall Jackson, Péter Járosi
Shift Share Analyses
In County-level CIE Supply Chain Analysis, the second of five p arts o f An Economic Analysis of the Appalachian Coal Industry Ecosystem posted to the Commission’s website in January of 2018, we developed a set of metrics that were used to provide insights on the past and future supply chain implications of long-term coal industry decline in Appalachia.[1] These metrics were used to identify counties that have been heavily impacted by the decline of the coal industry, those that remain dependent on the coal industry ecosystem (CIE), and among the dependent counties, those that are at greatest risk of …
Shift-Share Analysis: New York, 2005 - 2018,
2020
West Virginia University
Shift-Share Analysis: New York, 2005 - 2018, Randall Jackson, Péter Járosi
Shift Share Analyses
In County-level CIE Supply Chain Analysis, the second of five parts of An Economic Analysis of the Appalachian Coal Industry Ecosystem posted to the Commission’s website in January of 2018, we developed a set of metrics that were used to provide insights on the past and future supply chain implications of long-term coal industry decline in Appalachia.[1] These metrics were used to identify counties that have been heavily impacted by the decline of the coal industry, those that remain dependent on the coal industry ecosystem (CIE), and among the dependent counties, those that are at greatest risk of further impact. …
The Effects Of The African Continental Free Trade Agreement On Africa's Regional Economic Communities: An Empirical Analysis,
2020
University of Toronto Schools
The Effects Of The African Continental Free Trade Agreement On Africa's Regional Economic Communities: An Empirical Analysis, Elizabeth Zhu
Undergraduate Economic Review
This study examines the economic effects of the African Continental Free Trade Agreement (AfCFTA) on three regional economic communities in Africa: COMESA, ECOWAS, and CEMAC. It scrutinizes the effects of the agreement on Africa’s largest trading partners: the EU, China, and America. Three scenarios are modelled using the GTAP CGE model: a removal of tariffs on 97% of goods, a removal of non-tariff barriers, and a combination of the previous two scenarios. The findings show that the welfare of all African regions increases due to AfCFTA, but to varying degrees, with CEMAC benefiting the least of the three regional blocs.
Borderplex Business Barometer, Volume 4, Number 6,
2020
University of Texas at El Paso
Borderplex Business Barometer, Volume 4, Number 6, Thomas M. Fullerton Jr., Steven L. Fullerton, Ana Gutierrez Zubiate, Ignacio Santana
Border Region Modeling Project
No abstract provided.
Do Rural Health Worker Incentive Schemes Work? Evidence From Thailand,
2020
SUNY Geneseo
Do Rural Health Worker Incentive Schemes Work? Evidence From Thailand, Pallavi Panda, Pasita Chaijaroen
School of Business
This paper studies supply-side health interventions, which increased the monetary incentives and number of health professionals in the Deep South provinces of Thailand, and provides evidence on the effectiveness of provision of primary care providers on the health care utilization of the community. We use a difference-in-differences approach to estimate effects of this policy on child health by evaluating the probability of immunizations in the policy affected areas using two rounds of the Multiple Indicator Cluster Surveys (MICS). We find that after the policy implementation, there is a decrease in immunizations that are given to children within 2 months and …
Two Essays On The Microstructure Of The Housing Market: Agents' Diffused Effort And Sellers' Behavior Bias,
2020
Old Dominion University
Two Essays On The Microstructure Of The Housing Market: Agents' Diffused Effort And Sellers' Behavior Bias, Zhaohui Li
Theses and Dissertations in Business Administration
For the first essay, we generalize the classic Williams [1998 RFS] brokerage model by introducing the diffused effort. That is, the agent can cross-utilize effort spending on one listing to another one. Besides, the agent can manage heterogeneous housing assets. One counterintuitive finding in Williams’ paper is the absence of the agency problem. As a special case in our model, we recover the agency problem. We examine the positive externality due to the diffused effort and show that it depends on the agent’s inventory size. Hence there exists a trade-off between agents’ effort spending on existing listings and on finding …
The Economic Implications Of Eliminating Coal Subsidies In G7 Countries,
2020
University of Toronto Schools
The Economic Implications Of Eliminating Coal Subsidies In G7 Countries, Rachel M. Kim, Pradnaya S. Pathak
Undergraduate Economic Review
This paper analyzes the economic implications of eliminating coal subsidies in G7 countries (Canada, France, Germany, Italy, Japan, United Kingdom, United States) in light of the Paris Agreement and the 2009 commitment to addressing climate change. The study uses a computable general equilibrium (CGE) model and contains three different simulations: production subsidy removal, consumption subsidy removal, and both consumption and production subsidy removal in G7 nations. Three variables were analyzed: economic welfare, market price, and output quantity. The results obtained using the Global Trade Analysis Project (GTAP) indicate that coal price increases and output quantity decreases, while economic welfare varies.
Disamenity Or A Signal Of Competence? The Empirical Political Economy Of Local Road Maintenance,
2020
West Virginia University
Disamenity Or A Signal Of Competence? The Empirical Political Economy Of Local Road Maintenance, Benjamin Blemings, Margaret Bock
Economics Faculty Working Papers Series
Empirical results find different conclusions than theoretical evidence of how electorates perceive road work. This paper uses a geographically smaller unit of analysis than prior work, political alignment, local election cycles, and difference-in-differences. It finds political distortions in invasive road maintenance timing and rules out maintenance seasonality. Spatial discontinuity plots leveraging ward boundary cutoffs confirm the shift. Results identify new public distortions to road maintenance, local election cycles, which are widespread and frequent. The estimates are used to calculate financial costs of local elections on road maintenance. Local elections have cost medium-large U.S. cities over $185.5 million from 1960- 2020.
Nebraska Monthly Economic Indicators: May 28, 2020,
2020
University of Nebraska at Lincoln
Nebraska Monthly Economic Indicators: May 28, 2020, Eric Thompson
Leading Economic Indicator Reports
The LEI-N fell by 5.57% during April of 2020 as the COVID-19 Pandemic continued to impact Nebraska’s economy. The decline in April followed a large decline in March. Taken together, the two monthly drops suggest that the Nebraska economy will be smaller in the fall of 2020 than it was during January and February of this year. All components of the leading indicator worsened during April. There were few airline passenger enplanements during April. In addition, both building permits for single-family homes and manufacturing hours-worked declined while initial claims for unemployment insurance rose. There also was another increase in the …
