This paper discusses a mechanism underlying the input allocations and income distributions across Russian cities of different ages. The empirical strategy is based on using the extended version of the Glaeser-Gottlieb model to guide the interpretation of regression estimates. The results are in line with previous evidence. Newer cities tend to pay higher real wages, but this is offset by the poor consumption amenities. Their opportunities to pay more are related to their productivity advantages resulting from their higher shares of skilled workforce, and more available natural resources. At the same time, these advantages and disadvantages tend to disappear with time, which gives rise to the income convergence.
{"title":"Spatial Equilibrium Approach to the Analysis of Income Differentials Across Russian Cities","authors":"A. S. Skorobogatov","doi":"10.2139/ssrn.2834879","DOIUrl":"https://doi.org/10.2139/ssrn.2834879","url":null,"abstract":"This paper discusses a mechanism underlying the input allocations and income distributions across Russian cities of different ages. The empirical strategy is based on using the extended version of the Glaeser-Gottlieb model to guide the interpretation of regression estimates. The results are in line with previous evidence. Newer cities tend to pay higher real wages, but this is offset by the poor consumption amenities. Their opportunities to pay more are related to their productivity advantages resulting from their higher shares of skilled workforce, and more available natural resources. At the same time, these advantages and disadvantages tend to disappear with time, which gives rise to the income convergence.","PeriodicalId":410291,"journal":{"name":"ERN: Analytical Models (Topic)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130691945","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}
HOA (homeowners association) and leasehold (such as shopping mall) are two important types of urban institutions that have been developing very fast worldwide. This paper extends Hart-Moore model on cooperative vs. outside ownership to the urban setting by incorporating a distinctive feature of urban land use: the transaction and consumption of land is bundled with that of collective goods. The focus is placed on the ex post pricing efficiency of providing collective goods. The impacts of endogenous outside market and the capitalization of collective goods into land price are also discussed. Findings suggest that HOAs are likely to be located in more competitive market such as the suburbs. Rich communities may prefer HOA while leasehold is more common for poor communities. Leasehold also becomes more efficient when the capitalization effect is weaker.
{"title":"HOA vs. Leasehold","authors":"F. Deng","doi":"10.2139/ssrn.2888704","DOIUrl":"https://doi.org/10.2139/ssrn.2888704","url":null,"abstract":"HOA (homeowners association) and leasehold (such as shopping mall) are two important types of urban institutions that have been developing very fast worldwide. This paper extends Hart-Moore model on cooperative vs. outside ownership to the urban setting by incorporating a distinctive feature of urban land use: the transaction and consumption of land is bundled with that of collective goods. The focus is placed on the ex post pricing efficiency of providing collective goods. The impacts of endogenous outside market and the capitalization of collective goods into land price are also discussed. Findings suggest that HOAs are likely to be located in more competitive market such as the suburbs. Rich communities may prefer HOA while leasehold is more common for poor communities. Leasehold also becomes more efficient when the capitalization effect is weaker.","PeriodicalId":410291,"journal":{"name":"ERN: Analytical Models (Topic)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115603171","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}
The 1994 Northwest Forest Plan (NWFP) resulted in the protection of over 11 million acres of public forestland in the Pacific Northwest region of the United States. This paper quantifies the amenity effect arising from protected NWFP lands on long‐run community economic growth. Using community fixed effects and postmatching panel regression to control for many sources of bias, we find highly localized and positive amenity impacts on the growth in median income, population, and property values for small communities close to protected NWFP land, as compared to communities far from the NWFP. We find no effect on medium‐sized communities.
{"title":"Conservation Land Amenities and Regional Economies: A Postmatching Difference‐In‐Differences Analysis of the Northwest Forest Plan","authors":"Yong Chen, D. Lewis, B. Weber","doi":"10.1111/jors.12253","DOIUrl":"https://doi.org/10.1111/jors.12253","url":null,"abstract":"The 1994 Northwest Forest Plan (NWFP) resulted in the protection of over 11 million acres of public forestland in the Pacific Northwest region of the United States. This paper quantifies the amenity effect arising from protected NWFP lands on long‐run community economic growth. Using community fixed effects and postmatching panel regression to control for many sources of bias, we find highly localized and positive amenity impacts on the growth in median income, population, and property values for small communities close to protected NWFP land, as compared to communities far from the NWFP. We find no effect on medium‐sized communities.","PeriodicalId":410291,"journal":{"name":"ERN: Analytical Models (Topic)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128130694","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}
We investigate the relationship between the extent of a city’s subway network, its population and its spatial configuration. To accomplish this investigation, for the 632 largest cities in the world, we construct panel data describing the extent of each of the 138 subway systems in these cities, their population, and measures of centralization calculated from lights at night data. These data indicate that large cities are more likely to have subways, but that subways have an economically insignificant effect on urban population growth. Consistent with economic theory and with other studies of the effects of transportation improvements on cities, our data also indicate that subways cause cities to be more decentralized. For a subset of subway cities we also observe panel data describing subway and bus ridership. We find that a 10% increase in subway extent causes about a 6% increase in subway ridership and has no effect on bus ridership. Consistent with the available literature describing the effect of roads on cities, our results are consistent with subways having a larger effect on the configuration of cities than on their sizes, and with subways having a larger effect on discretionary than commute travel.
{"title":"Subways and Urban Growth: Evidence from Earth","authors":"Marco Gonzalez-Navarro, M. Turner","doi":"10.3386/W24996","DOIUrl":"https://doi.org/10.3386/W24996","url":null,"abstract":"We investigate the relationship between the extent of a city’s subway network, its population and its spatial configuration. To accomplish this investigation, for the 632 largest cities in the world, we construct panel data describing the extent of each of the 138 subway systems in these cities, their population, and measures of centralization calculated from lights at night data. These data indicate that large cities are more likely to have subways, but that subways have an economically insignificant effect on urban population growth. Consistent with economic theory and with other studies of the effects of transportation improvements on cities, our data also indicate that subways cause cities to be more decentralized. For a subset of subway cities we also observe panel data describing subway and bus ridership. We find that a 10% increase in subway extent causes about a 6% increase in subway ridership and has no effect on bus ridership. Consistent with the available literature describing the effect of roads on cities, our results are consistent with subways having a larger effect on the configuration of cities than on their sizes, and with subways having a larger effect on discretionary than commute travel.","PeriodicalId":410291,"journal":{"name":"ERN: Analytical Models (Topic)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125880543","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 provides an explanation as to why population ageing is associated with deflationary processes. For this reason we create an overlapping-generations model (OLG) with money created by credits (inside money) and intergenerational trade. In other words, we combine a neoclassical OLG model with post-Keynesian monetary theory. The model links demographic factors such as fertility rates and longevity to prices. We show that lower fertility rates lead to smaller demand for credits, and lower money creation, which in turn causes a decline in prices. Changes in longevity affect prices through real savings and the capital market. Furthermore, a few links between interest rates and inflation are addressed; they arise in the general equilibrium and are not thoroughly discussed in literature. Long-run results are derived analytically; short-run dynamics are simulated numerically.
{"title":"Population Ageing and Inflation with Endogenous Money Creation","authors":"Igor Fedotenkov","doi":"10.2139/ssrn.2745807","DOIUrl":"https://doi.org/10.2139/ssrn.2745807","url":null,"abstract":"This paper provides an explanation as to why population ageing is associated with deflationary processes. For this reason we create an overlapping-generations model (OLG) with money created by credits (inside money) and intergenerational trade. In other words, we combine a neoclassical OLG model with post-Keynesian monetary theory. The model links demographic factors such as fertility rates and longevity to prices. We show that lower fertility rates lead to smaller demand for credits, and lower money creation, which in turn causes a decline in prices. Changes in longevity affect prices through real savings and the capital market. Furthermore, a few links between interest rates and inflation are addressed; they arise in the general equilibrium and are not thoroughly discussed in literature. Long-run results are derived analytically; short-run dynamics are simulated numerically.","PeriodicalId":410291,"journal":{"name":"ERN: Analytical Models (Topic)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127396903","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}
I estimate an elasticity of wages with respect to city population of about 5 percent for Colombian cities. This finding is robust to a number of econometric concerns. The second main finding is a negative effect of market access on wages. Third main finding regards stronger agglomeration effects in the informal sector. In turn, this explains a range of other negative findings, including only weak evidence in favor of human capital externalities, no evidence of a complementarity between cities and skills, and an absence of learning effects. I do not find measurable effects of roads or amenities on wages either.
{"title":"Agglomeration Effects in Colombia","authors":"G. Duranton","doi":"10.1111/jors.12239","DOIUrl":"https://doi.org/10.1111/jors.12239","url":null,"abstract":"I estimate an elasticity of wages with respect to city population of about 5 percent for Colombian cities. This finding is robust to a number of econometric concerns. The second main finding is a negative effect of market access on wages. Third main finding regards stronger agglomeration effects in the informal sector. In turn, this explains a range of other negative findings, including only weak evidence in favor of human capital externalities, no evidence of a complementarity between cities and skills, and an absence of learning effects. I do not find measurable effects of roads or amenities on wages either.","PeriodicalId":410291,"journal":{"name":"ERN: Analytical Models (Topic)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128262502","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}
The objective of this paper is to assess an approach to statistical modeling of point referenced establishment data that permit inclusion of “environmental” or establishment‐specific covariates and specific forms of interestablishment interaction. Gibbs models are used to decompose the conditional intensity of the spatial point process into trend and interaction components. The trend is composed of access measures (primarily different classes of roads) and three different interaction processes are tested: Geyer, area interaction, and Strauss hard core. While the models used have proved to be useful in ecology, we are unaware of any applications to establishment or firm data. In empirical application, the models yield intuitively appealing results for the trend component, and the ability to specify the interaction component gives deeper insights into interestablishment spatial dynamics than any previously published methods.
{"title":"Localization and Industry Clustering Econometrics: An Assessment of Gibbs Models for Spatial Point Processes","authors":"S. Sweeney, M. Gómez-Antonio","doi":"10.1111/jors.12238","DOIUrl":"https://doi.org/10.1111/jors.12238","url":null,"abstract":"The objective of this paper is to assess an approach to statistical modeling of point referenced establishment data that permit inclusion of “environmental” or establishment‐specific covariates and specific forms of interestablishment interaction. Gibbs models are used to decompose the conditional intensity of the spatial point process into trend and interaction components. The trend is composed of access measures (primarily different classes of roads) and three different interaction processes are tested: Geyer, area interaction, and Strauss hard core. While the models used have proved to be useful in ecology, we are unaware of any applications to establishment or firm data. In empirical application, the models yield intuitively appealing results for the trend component, and the ability to specify the interaction component gives deeper insights into interestablishment spatial dynamics than any previously published methods.","PeriodicalId":410291,"journal":{"name":"ERN: Analytical Models (Topic)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124783517","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}
Complementing recent theoretical models of tax competition with endogenous leadership, we empirically model local policy diffusion as a dynamic asymmetric process. Using a setting where local option sales taxes rapidly transitioned from nonexistence to ubiquity, we construct a policy leadership index to classify jurisdictions as leaders or followers. Using models that control for vertical tax competition effects, we show how asymmetric leader–follower dynamics characterize horizontal tax competition over the three decades that follow. A placebo test further supports our main conclusions. This methodological approach could be adapted to other settings where policies exhibit both extensive and intensive margins.
{"title":"Leaders, Followers, and Asymmetric Local Tax Policy Diffusion","authors":"G. Burge, C. Rogers","doi":"10.1111/jors.12242","DOIUrl":"https://doi.org/10.1111/jors.12242","url":null,"abstract":"Complementing recent theoretical models of tax competition with endogenous leadership, we empirically model local policy diffusion as a dynamic asymmetric process. Using a setting where local option sales taxes rapidly transitioned from nonexistence to ubiquity, we construct a policy leadership index to classify jurisdictions as leaders or followers. Using models that control for vertical tax competition effects, we show how asymmetric leader–follower dynamics characterize horizontal tax competition over the three decades that follow. A placebo test further supports our main conclusions. This methodological approach could be adapted to other settings where policies exhibit both extensive and intensive margins.","PeriodicalId":410291,"journal":{"name":"ERN: Analytical Models (Topic)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125298207","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}
The growth in women's participation in the labor force has attracted attention to the gender differences in commuting behavior, and to their implications. This study analyses the relationship between individual commuting behavior and household responsibilities, with a focus on gender differences in that relationship. Using the Dutch Time Use Surveys for the years 2000 and 2005, we analyze the relationship between commuting time, and the time devoted to home production and childcare. To deal with reverse causality, we use Propenstity Score Matching techniques to obtain imputed data for individuals. After reverse causality is taken into account, we find that the effect of home production on commuting time for women is more than double the effect for men, while childcare time has an effect on women's commuting time behavior only. Our results explain why prior studies have found that women have shorter commutes than men, shedding light on the Household Responsibility Hypothesis (HRH).
{"title":"Commuting Time and Household Responsibilities: Evidence Using Propensity Score Matching","authors":"José Ignacio Giménez, J. Molina","doi":"10.1111/jors.12243","DOIUrl":"https://doi.org/10.1111/jors.12243","url":null,"abstract":"The growth in women's participation in the labor force has attracted attention to the gender differences in commuting behavior, and to their implications. This study analyses the relationship between individual commuting behavior and household responsibilities, with a focus on gender differences in that relationship. Using the Dutch Time Use Surveys for the years 2000 and 2005, we analyze the relationship between commuting time, and the time devoted to home production and childcare. To deal with reverse causality, we use Propenstity Score Matching techniques to obtain imputed data for individuals. After reverse causality is taken into account, we find that the effect of home production on commuting time for women is more than double the effect for men, while childcare time has an effect on women's commuting time behavior only. Our results explain why prior studies have found that women have shorter commutes than men, shedding light on the Household Responsibility Hypothesis (HRH).","PeriodicalId":410291,"journal":{"name":"ERN: Analytical Models (Topic)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127853879","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}
Geographically referenced US census data provide a large amount of information about the extent of urbanization and land consumption. Population count, the number of housing units and their vacancy rates, and demographic and economic parameters such as racial composition and household income, and their change over time, can be examined at different levels of geographic resolution to observe patterns of urban flight, suburbanization, reurbanization, and sprawl. This paper will review the literature on prior application of census data in a geospatial setting. It will identify strengths and weaknesses and address methodological challenges of census-based approaches to the study of urbanization. To this end, a detailed overview of the geographic structure of U.S. Census data and its evolution is provided. Ecological Fallacies and the Modifiable Areal Unit Problem (MAUP) are discussed and the Population Weighted Density as a more robust alternative to crude population density is introduced. Of special interest will be literature comparing and/or integrating census data with alternative methodologies, e.g. based on Remote Sensing. The general purpose of this paper is to lay the groundwork for the optimal use of high resolution census data in studying urbanization in the United States.
{"title":"Utilizing Geospatial Analysis of U.S. Census Data for Studying the Dynamics of Urbanization and Land Consumption","authors":"Toni Menninger","doi":"10.2139/ssrn.2720293","DOIUrl":"https://doi.org/10.2139/ssrn.2720293","url":null,"abstract":"Geographically referenced US census data provide a large amount of information about the extent of urbanization and land consumption. Population count, the number of housing units and their vacancy rates, and demographic and economic parameters such as racial composition and household income, and their change over time, can be examined at different levels of geographic resolution to observe patterns of urban flight, suburbanization, reurbanization, and sprawl. This paper will review the literature on prior application of census data in a geospatial setting. It will identify strengths and weaknesses and address methodological challenges of census-based approaches to the study of urbanization. To this end, a detailed overview of the geographic structure of U.S. Census data and its evolution is provided. Ecological Fallacies and the Modifiable Areal Unit Problem (MAUP) are discussed and the Population Weighted Density as a more robust alternative to crude population density is introduced. Of special interest will be literature comparing and/or integrating census data with alternative methodologies, e.g. based on Remote Sensing. The general purpose of this paper is to lay the groundwork for the optimal use of high resolution census data in studying urbanization in the United States.","PeriodicalId":410291,"journal":{"name":"ERN: Analytical Models (Topic)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124357873","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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