This paper examines a series of high school-level interventions designed to encourage college attendance in a historically underperforming region, Appalachian Ohio. High schools received competitive grants to combat information frictions regarding postsecondary enrollment---through campus visits, college fairs, financial aid seminars, etc. I estimate the effect of these competitive grants on postsecondary enrollment. Only Appalachian high schools were eligible for the program, and I exploit this policy-induced variation in treatment allocation to compare college attendance rates for high schools that received funding and similar, non-Appalachian high schools that were ineligible for the program using a difference-in-differences framework. Leveraging multiple datasets and treatment specifications, I document two findings: i) while college attendance generally rose during treatment, no evidence indicates that the grants increased attendance relative to similar yet untreated schools and ii) there is no evidence that attendance patterns shifted to higher-quality institutions.
{"title":"Information Interventions and Postsecondary Enrollment: Evidence from Appalachian Ohio","authors":"Cullen T. Wallace","doi":"10.52324/001c.27973","DOIUrl":"https://doi.org/10.52324/001c.27973","url":null,"abstract":"This paper examines a series of high school-level interventions designed to encourage college attendance in a historically underperforming region, Appalachian Ohio. High schools received competitive grants to combat information frictions regarding postsecondary enrollment---through campus visits, college fairs, financial aid seminars, etc. I estimate the effect of these competitive grants on postsecondary enrollment. Only Appalachian high schools were eligible for the program, and I exploit this policy-induced variation in treatment allocation to compare college attendance rates for high schools that received funding and similar, non-Appalachian high schools that were ineligible for the program using a difference-in-differences framework. Leveraging multiple datasets and treatment specifications, I document two findings: i) while college attendance generally rose during treatment, no evidence indicates that the grants increased attendance relative to similar yet untreated schools and ii) there is no evidence that attendance patterns shifted to higher-quality institutions.","PeriodicalId":44865,"journal":{"name":"Review of Regional Studies","volume":"6 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2021-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86744114","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In this note, we focus on the decision problem faced by a city authority (CA) who seeks to attract members of the creative class to her city by providing a local public good (LPG). We construct a stylized model of this interaction and shed light on three questions. First, we determine the optimal number of creative class members to attract when the CA maximizes the utility of each member who chooses to reside in the city. Second, assuming the CA provides the LPG optimally given the total number of resident members, we compute the loss borne by this CA from having a suboptimal number of members living in the city. Finally, we ascertain what number of members living in the city maximizes the total utility obtained by the CA and then compare this answer with our answer to the first question stated above.
{"title":"How Many Members of the Creative Class Should a City Seek to Attract?","authors":"A. Batabyal","doi":"10.52324/001c.27972","DOIUrl":"https://doi.org/10.52324/001c.27972","url":null,"abstract":"In this note, we focus on the decision problem faced by a city authority (CA) who seeks to attract members of the creative class to her city by providing a local public good (LPG). We construct a stylized model of this interaction and shed light on three questions. First, we determine the optimal number of creative class members to attract when the CA maximizes the utility of each member who chooses to reside in the city. Second, assuming the CA provides the LPG optimally given the total number of resident members, we compute the loss borne by this CA from having a suboptimal number of members living in the city. Finally, we ascertain what number of members living in the city maximizes the total utility obtained by the CA and then compare this answer with our answer to the first question stated above.","PeriodicalId":44865,"journal":{"name":"Review of Regional Studies","volume":"29 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2021-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87292912","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study examines the impacts of population aging on a wide range of economic indicators from a regional perspective. Many countries, including the United States, are experiencing demographic aging. This may have a dramatic impact on both the national and sub-national economies. However, there is little consensus about its impact on local sub-national economies. This study uses regional variation in age structure to explain economic outcomes at the metropolitan statistical areas (MSAs) level. In order to identify causal effects, Mahalanobis distances were calculated to identify the matched cities as instrumental variables. The study finds that regions with older age structures tend to have higher growth rates of GDP per capita and lower growth rates of unemployment, but such positive effects are likely to fade away in the long run. Additionally, there is no significant impact of age composition on income. The choice of variables is critical as it can lead to mixed results. The results are robust before, during and after the economic recession. Quantile regression is also used to explore potential heterogeneous effects among MSAs. The results show that MSAs, regardless of their size, are uniformly affected by the age structure.
{"title":"How Does the Age Structure Affect Local Economies in the US?","authors":"Xiaochen Zhang","doi":"10.52324/001c.27971","DOIUrl":"https://doi.org/10.52324/001c.27971","url":null,"abstract":"This study examines the impacts of population aging on a wide range of economic indicators from a regional perspective. Many countries, including the United States, are experiencing demographic aging. This may have a dramatic impact on both the national and sub-national economies. However, there is little consensus about its impact on local sub-national economies. This study uses regional variation in age structure to explain economic outcomes at the metropolitan statistical areas (MSAs) level. In order to identify causal effects, Mahalanobis distances were calculated to identify the matched cities as instrumental variables. The study finds that regions with older age structures tend to have higher growth rates of GDP per capita and lower growth rates of unemployment, but such positive effects are likely to fade away in the long run. Additionally, there is no significant impact of age composition on income. The choice of variables is critical as it can lead to mixed results. The results are robust before, during and after the economic recession. Quantile regression is also used to explore potential heterogeneous effects among MSAs. The results show that MSAs, regardless of their size, are uniformly affected by the age structure.","PeriodicalId":44865,"journal":{"name":"Review of Regional Studies","volume":"100 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2021-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79329967","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Much new work in urban and regional economics has emphasized the importance of place prosperity. This study focuses on the determinants of adult poverty and the contribution of place prosperity in damping the intergenerational transmission of poverty. Childhood poverty is a major predictor of adult poverty. We consider how such intergenerational transmission is affected by metropolitan and neighborhood (census tract) prosperity. To capture the temporal dynamics of this process, the model explored here is recursive in nature. We use longitudinal microdata from the Panel Study of Income Dynamics. Location variables at the census tract and metropolitan levels, family variables, and poverty status are observed for our subjects over multiple years both in childhood and adulthood. Neighborhood and metropolitan prosperity are measured in terms of average incomes adjusted for purchasing power parity differences. The standardized neighborhood prosperity direct effect on adult poverty is strongly significant and its total effect is twice as large. On the other hand, the standardized direct effect of metropolitan prosperity and its total effect are small and insignificant. But even neighborhood effects are modest compared to standardized effects of childhood poverty, race, mother's education and own education. At least with respect to these data, the recent emphasis on place variables would seem to be overstated.
{"title":"Place Prosperity and the Intergenerational Transmission of Poverty","authors":"N. Tilahun, J. Persky, Jaeyong Shin, M. Zellner","doi":"10.52324/001c.27974","DOIUrl":"https://doi.org/10.52324/001c.27974","url":null,"abstract":"Much new work in urban and regional economics has emphasized the importance of place prosperity. This study focuses on the determinants of adult poverty and the contribution of place prosperity in damping the intergenerational transmission of poverty. Childhood poverty is a major predictor of adult poverty. We consider how such intergenerational transmission is affected by metropolitan and neighborhood (census tract) prosperity. To capture the temporal dynamics of this process, the model explored here is recursive in nature. We use longitudinal microdata from the Panel Study of Income Dynamics. Location variables at the census tract and metropolitan levels, family variables, and poverty status are observed for our subjects over multiple years both in childhood and adulthood. Neighborhood and metropolitan prosperity are measured in terms of average incomes adjusted for purchasing power parity differences. The standardized neighborhood prosperity direct effect on adult poverty is strongly significant and its total effect is twice as large. On the other hand, the standardized direct effect of metropolitan prosperity and its total effect are small and insignificant. But even neighborhood effects are modest compared to standardized effects of childhood poverty, race, mother's education and own education. At least with respect to these data, the recent emphasis on place variables would seem to be overstated.","PeriodicalId":44865,"journal":{"name":"Review of Regional Studies","volume":"10 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2021-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72581777","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This note compares old and new methods for modeling spatial heterogeneity with spatially varying parameter (SVP) models. Older methods considered include spatial expansion, spatial adaptive filtering, and geographically weighted regression. Newer methods that have emerged since the beginning of the 21st include smooth transition autoregression, spatial Gaussian process, and random parameter models with autoregressive processes. A simulation is used to graphically demonstrate differences between the approaches. Regional scientists planning on using any one of these approaches should carefully consider whether the data generating process they are working with is consistent with the assumptions an SVP maintains regarding spatial heterogeneity.
{"title":"Old and New Approaches for Spatially Varying Coefficient Models","authors":"D. Lambert","doi":"10.52324/001c.27969","DOIUrl":"https://doi.org/10.52324/001c.27969","url":null,"abstract":"This note compares old and new methods for modeling spatial heterogeneity with spatially varying parameter (SVP) models. Older methods considered include spatial expansion, spatial adaptive filtering, and geographically weighted regression. Newer methods that have emerged since the beginning of the 21st include smooth transition autoregression, spatial Gaussian process, and random parameter models with autoregressive processes. A simulation is used to graphically demonstrate differences between the approaches. Regional scientists planning on using any one of these approaches should carefully consider whether the data generating process they are working with is consistent with the assumptions an SVP maintains regarding spatial heterogeneity.","PeriodicalId":44865,"journal":{"name":"Review of Regional Studies","volume":"17 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2021-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91373980","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
R. Rieger, Débora de Lima Braga Penha, E. C. Teixeira
: Access to sanitation services is a basic human right, although a large part of the Brazilian population has limited access to such services. This paper investigates the relationship between access to sanitation services and the health conditions of the population in one of Brazil’s regions with the lowest infrastructure levels: the Legal Amazon. Using a dynamic panel model, the study analyzes how access to treated water impacts hospital admissions due to waterborne diseases. The results show that access to treated water reduces such admissions, thereby indicating a need to implement public policies in the fields of both sanitation and health. Our findings suggest that a program should be established to promote basic sanitation for the Legal Amazon with incentives for the private sector to participate, such as subsidies for companies to operate in the region. In addition, a data collection system must be designed to make it feasible to undertake studies aimed at drafting public policies which enable long-term planning.
{"title":"Waterborne Diseases, Basic Sanitation, and Health: Perspectives for Brazil’s Legal Amazon","authors":"R. Rieger, Débora de Lima Braga Penha, E. C. Teixeira","doi":"10.52324/001C.23477","DOIUrl":"https://doi.org/10.52324/001C.23477","url":null,"abstract":": Access to sanitation services is a basic human right, although a large part of the Brazilian population has limited access to such services. This paper investigates the relationship between access to sanitation services and the health conditions of the population in one of Brazil’s regions with the lowest infrastructure levels: the Legal Amazon. Using a dynamic panel model, the study analyzes how access to treated water impacts hospital admissions due to waterborne diseases. The results show that access to treated water reduces such admissions, thereby indicating a need to implement public policies in the fields of both sanitation and health. Our findings suggest that a program should be established to promote basic sanitation for the Legal Amazon with incentives for the private sector to participate, such as subsidies for companies to operate in the region. In addition, a data collection system must be designed to make it feasible to undertake studies aimed at drafting public policies which enable long-term planning.","PeriodicalId":44865,"journal":{"name":"Review of Regional Studies","volume":"138 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2021-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86578348","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Gómez‐Zaldívar, Irving Llamosas-Rosas, Fernando Gómez-Zaldívar
Identifying factors that explain the regional distribution patterns of Foreign Direct Investment (FDI) flows into an economy is no simple task, since they depend on a range of factors. In the case of Mexico, previous studies have documented the role of diverse characteristics in attracting FDI to the country’s states. This study shows that economic complexity - a variable that indicates the productive capabilities or productive knowledge that exist in a given economy's economic structure - can explain the distribution of FDI among Mexican states. Similar to previous studies, we document the spillover effects of economic complexity, i.e., we show how states surrounded by states with a high level of economic complexity tend to receive more FDI. Moreover, we document how FDI flows to manufacturing industries are positively correlated with their level of economic complexity. This result, to the best of our knowledge, has not been documented before in this literature.
{"title":"The Relationship between Economic Complexity and the Pattern of Foreign Direct Investment Flows among Mexican States","authors":"M. Gómez‐Zaldívar, Irving Llamosas-Rosas, Fernando Gómez-Zaldívar","doi":"10.52324/001C.21211","DOIUrl":"https://doi.org/10.52324/001C.21211","url":null,"abstract":"Identifying factors that explain the regional distribution patterns of Foreign Direct Investment (FDI) flows into an economy is no simple task, since they depend on a range of factors. In the case of Mexico, previous studies have documented the role of diverse characteristics in attracting FDI to the country’s states. This study shows that economic complexity - a variable that indicates the productive capabilities or productive knowledge that exist in a given economy's economic structure - can explain the distribution of FDI among Mexican states. Similar to previous studies, we document the spillover effects of economic complexity, i.e., we show how states surrounded by states with a high level of economic complexity tend to receive more FDI. Moreover, we document how FDI flows to manufacturing industries are positively correlated with their level of economic complexity. This result, to the best of our knowledge, has not been documented before in this literature.","PeriodicalId":44865,"journal":{"name":"Review of Regional Studies","volume":"138 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2021-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73145793","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper explores the inclusion of spatial dependency in measuring the impact of geographically targeted programs. Using an education program in India, which targeted educationally backward districts, I study the influence of the program on the change in the rural female literacy rate and the gender gap in the literacy rate. In the estimation of a non-spatial model, the residuals exhibit spatial dependency, and the data suggests the spatial error model or the spatial Durbin error model (SDEM) as the appropriate specification. According to the SDEM estimates, with a one percentage point increase in the educational backwardness of a district, there was a 0.08 percentage point increase in the rural female literacy rate and a 0.02 percentage point decrease in the gender gap in literacy rate. The results imply a small but insignificant influence of the program received by the neighboring districts on the change in rural female literacy rate of a district. Limited financial flexibility and the lack of incentive to engage in a competition is a possible explanation for the absence of strategic interaction between districts.
{"title":"Spatial Analysis of an Education Program and Literacy in India","authors":"C. Jogani","doi":"10.52324/001C.19516","DOIUrl":"https://doi.org/10.52324/001C.19516","url":null,"abstract":"This paper explores the inclusion of spatial dependency in measuring the impact of geographically targeted programs. Using an education program in India, which targeted educationally backward districts, I study the influence of the program on the change in the rural female literacy rate and the gender gap in the literacy rate. In the estimation of a non-spatial model, the residuals exhibit spatial dependency, and the data suggests the spatial error model or the spatial Durbin error model (SDEM) as the appropriate specification. According to the SDEM estimates, with a one percentage point increase in the educational backwardness of a district, there was a 0.08 percentage point increase in the rural female literacy rate and a 0.02 percentage point decrease in the gender gap in literacy rate. The results imply a small but insignificant influence of the program received by the neighboring districts on the change in rural female literacy rate of a district. Limited financial flexibility and the lack of incentive to engage in a competition is a possible explanation for the absence of strategic interaction between districts.","PeriodicalId":44865,"journal":{"name":"Review of Regional Studies","volume":"17 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2021-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88275522","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Using data on U.S. state-level unionization from Hirsch et al. (2001) and the club convergence test developed by Phillips and Sul (2007, 2009), this paper shows that U.S. states have distinct groupings in terms of the level of unionization. In particular, the states in the American South generally belong to their own low union density groups. Further, states in the Northeast (such as New York) and the Great Lakes regions (Michigan, Ohio) tend to have higher levels of unionization and form their own convergence clubs.
{"title":"Unionization and Convergence in the United States","authors":"John Meszaros","doi":"10.52324/001C.18970","DOIUrl":"https://doi.org/10.52324/001C.18970","url":null,"abstract":"Using data on U.S. state-level unionization from Hirsch et al. (2001) and the club convergence test developed by Phillips and Sul (2007, 2009), this paper shows that U.S. states have distinct groupings in terms of the level of unionization. In particular, the states in the American South generally belong to their own low union density groups. Further, states in the Northeast (such as New York) and the Great Lakes regions (Michigan, Ohio) tend to have higher levels of unionization and form their own convergence clubs.","PeriodicalId":44865,"journal":{"name":"Review of Regional Studies","volume":"51 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2021-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78260979","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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