What Can Fifty-Two Collateralizable Wealth Measures Tell Us About Future Housing Market Returns? Evidence from U.S. State-Level Data

2019 ◽  
Vol 62 (1) ◽  
pp. 81-107
Author(s):  
Mehmet Balcilar ◽  
Rangan Gupta ◽  
Ricardo M. Sousa ◽  
Mark E. Wohar
Keyword(s):  
Housing Market ◽  
State Level ◽  
Market Returns ◽  
Level Data

Linking U.S. State-level housing market returns, and the consumption-(Dis)Aggregate wealth ratio

2021 ◽  
Vol 71 ◽  
pp. 779-810
Author(s):  
Mehmet Balcilar ◽  
Rangan Gupta ◽  
Ricardo M. Sousa ◽  
Mark E. Wohar
Keyword(s):  
Housing Market ◽  
State Level ◽  
Market Returns ◽  
Aggregate Wealth

Engagement Through the Diaspora Channel

2017 ◽  
Author(s):  
Michael S. Danielson
Keyword(s):  
Civil Society ◽  
Statistical Models ◽  
State Level ◽  
The State ◽  
Multivariate Statistical ◽  
Political Factors ◽  
Data Set ◽  
Level Data ◽  
Municipal Level

The first empirical task is to identify the characteristics of municipalities which US-based migrants have come together to support financially. Using a nationwide, municipal-level data set compiled by the author, the chapter estimates several multivariate statistical models to compare municipalities that did not benefit from the 3x1 Program for Migrants with those that did, and seeks to explain variation in the number and value of 3x1 projects. The analysis shows that migrants are more likely to contribute where migrant civil society has become more deeply institutionalized at the state level and in places with longer histories as migrant-sending places. Furthermore, the results suggest that political factors are at play, as projects have disproportionately benefited states and municipalities where the PAN had a stronger presence, with fewer occurring elsewhere.

Legalization of Medical Cannabis and Site of Death: Evidence From National Vital Statistics Mortality Data

2021 ◽  
pp. 073346482110587
Author(s):  
Divya Bhagianadh ◽  
Kanika Arora
Keyword(s):  
State Level ◽  
Positive Association ◽  
Vital Statistics ◽  
Mortality Data ◽  
Medical Cannabis ◽  
Difference In Differences ◽  
Early Adopters ◽  
Level Data ◽  
Hospital Deaths ◽  
Poor Outcomes

We examined whether Medical Marijuana Legislation (MML) was associated with site of death. Using state-level data (1992–2018) from the National Vital Statistics System (NVSS), we employed difference-in-differences method to compare changes in death rate among older adults at four sites—nursing home (NH), hospital, home, hospice/other—over time in states with and without MML. Heterogeneity analyses were conducted by timing of MML adoption, and by decedent characteristics. Results show a negative association between MML implementation and NH deaths. Among early adopters (states with weakly regulated programs) and decedents with musculoskeletal disorders, there was a positive association between MML implementation and hospital deaths, whereas among late adopters (states with “medicalized” programs), there was a positive association between MML implementation and hospice deaths. Decline in NH deaths may reflect increased likelihood of transfers due to threat of Federal enforcement, penalties for poor outcomes, and liability concerns. Future studies should examine these associations further.

scholarly journals The Socioeconomic Profile of Well-Funded Public Libraries: A Regression Analysis

2018 ◽  
Vol 13 (2) ◽  
pp. 13-26
Author(s):  
Michael Carlozzi
Keyword(s):  
Socioeconomic Factors ◽  
Public Libraries ◽  
Public Library ◽  
State Level ◽  
Linear Regression Models ◽  
Library Funding ◽  
Level Data ◽  
Socioeconomic Profile ◽  
Socioeconomic Data ◽  
To Receive

Abstract Objective – This study aimed to explore the well-established link between public library funding and activity, specifically to what extent socioeconomic factors could explain the correlation. Methods – State-level data from the Massachusetts Board of Library Commissioners were analyzed for 280 public libraries using two linear regression models. These public libraries were matched with socioeconomic data for their communities. Results – Confirming prior research, a library’s municipal funding correlated strongly with its direct circulation. In terms of library outputs, the municipal funding appeared to represent a library’s staffing and number of annual visitations. For socioeconomic factors, the strongest predictor of a library’s municipal appropriation was its “number of educated residents.” Other socioeconomic factors were far less important. Conclusion – Although education correlated strongly with library activity, variation within the data suggests that public libraries are idiosyncratic and that their funding is not dictated exclusively by the community’s socioeconomic profile. Library administrators and advocates can examine what libraries of similar socioeconomic profiles do to receive additional municipal funding.

Recuperation of economy after volcanic eruption in Mt. Merapi, Indonesia: a multiregional input-output analysis

2020 ◽  
Author(s):  
Heni Subiyanti ◽  
Moinul Islam ◽  
Masaru Ichihashi
Keyword(s):  
Natural Disasters ◽  
Volcanic Eruption ◽  
State Level ◽  
Economic Effects ◽  
Input Output ◽  
Output Analysis ◽  
Services Sector ◽  
Forestry Sector ◽  
Level Data ◽  
Fiscal Support

Abstract Indonesia is in one of the disaster-prone points, the ring of fire, which frequently suffer from natural disasters. Mt. Merapi volcanic eruption in 2010 was one of the catastrophic natural disasters, which caused the approximate economic damages of 3,628 trillion Indonesian rupiah. To recover the loss of different sectors of the economy, the central and regional governments allocates special budget for recovery and reconstruction. We assess the induced economic effects of Mt. Merapi eruption recovery fiscal support by using a multiregional input-output (MRIO) model. We utilize the state level data of the 2005 Indonesian interregional input-output table (IRIO) and the 2011–2013 volcano eruption restoration. Our results indicate that the effect of 2010 recovery budget for Mt. Merapi eruption contributed to the economy of the hazard-affected Yogyakarta Special Region. In addition, the forestry sector, other services sector, and construction sectors have a significantly benefited from the induced output by fiscal support.

Indicators of Social Sustainability

2020 ◽  
pp. 42-69
Author(s):  
Ramprasad Sengupta
Keyword(s):  
Social Welfare ◽  
Relative Deprivation ◽  
Social Sustainability ◽  
State Level ◽  
The State ◽  
Social Tension ◽  
Rural And Urban ◽  
System P ◽  
Level Data ◽  
Indian State

Chapter 2 focuses on the indicators of social sustainability basing alternatively on absolute or relative deprivation of people’s opportunities of consumption, or on the extent of attainment of human capability, enabling people to access a decent life. It has traced the relationship between deprivation—in both absolute and relative sense—and social tension conceived as social welfare loss according to some social welfare function, which underlies any indicator of development. After reviewing briefly the comparative state of inequality-adjusted level of development across developing countries, the chapter focussed on the analysis of the state of poverty, inequality, and measure of social tension (based on poverty gap or Gini coefficient) for the rural and urban sectors separately using the Indian state-level data to assess the state of social sustainability of the Indian economic system.

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