Showing 21 - 30 of 80 Items
Using 'big data' to explain visits to lakes in 17 US states
Date: 2020-07-01
Creator: Erik Nelson, Maggie Rogers, Spencer Wood, Jesse Chung, Bonnie, Keeler
Access: Open access
- We use large dataset on US lakes from 17 states to estimate the relationship between summertime visits to lakes as proxied by social media use and the lakes' water quality, amenities, and surrounding landscape features and socioeconomic conditions. Prior to estimating these relationships we worked on 1) selecting a parsimonious set of explanatory variables from a roster of more than 100 lake attributes and 2) accounting for the non-random pattern of missing water quality data. These steps 1) improved the interpretability of the estimated visit models and 2) widened our estimated models' scope of statistical inference. We used Machine Learning techniques to select parsimonious sets of explanatory variables and multiple imputation to estimate water quality at lakes missing this data. We found the following relationships between summertime visits to lake and their attributes across the 17-state region. First, we estimated that every additional meter of average summer-time Secchi depth between 1995 and 2014 was associated with at least 7.0% more summer-time visits to a lake between 2005 to 2014, all else equal. Second, we consistently found that lake amenities, such as beaches, boat launches, and public toilets, were more powerful predictors of visits than water quality. Third, we also found that visits to a lake were strongly influenced by the lake's accessibility and its distance to nearby lakes and the amenities the nearby lakes offered. Finally, our results highlight the biased results that "big data"-based research on recreation can generate if non-random missing observation patterns in the data are not corrected.
Economic Costs of Elevated Public Debt Levels During Banking-Crisis Recessions
Date: 2021-01-01
Creator: Gavin T Shilling
Access: Open access
- The Great Recession of 2007 and 2008 exposed the risks of excessive borrowing. We learned the essential economic principle that greater leverage harbors greater risk. Although this global economic contraction was driven primarily by booming private credit expansion, economically inefficient incentives in the public sector, such as short-term reelection concerns, may lead politicians to engage in rash deficit- financed, fiscal spending. The primary purpose of this research is to assess the economic costs of heightened, preexisting government leverage on real economic outcomes during recessionary periods, focusing on both banking and non-banking crisis recessions. In both advanced economies and emerging economies, this study confirms that banking recessions are associated with more severe economic contractions and more persistent output declines than normal recessions. In advanced economies, GDP recovers quickly and strongly with expansionary and supportive fiscal policy during low debt recessions, even with depressed private investment. While GDP recovers slowly and weakly with less expansionary fiscal policy during high debt recessions, even with strong private investment. Thus, the social marginal benefit of public sector investment exceeds the social marginal benefit of private sector investment in advanced economies. In emerging economies, GDP recovers quickly and strongly with strong private investment during high debt recessions, even with weak fiscal spending. While GDP recovers slowly and weakly with depressed private investment during low debt recessions, even with expansionary and supportive fiscal policy. Thus, the social marginal benefit of private sector investment exceeds the social marginal benefit of public sector investment in emerging economies.
Suspense-optimal college football play-offs
Date: 2014-01-01
Creator: Jarrod Olson, Daniel F. Stone
Access: Open access
- U.S. college football’s traditional bowl system, and lack of a postseason play-off tournament, has been controversial for years. The conventional wisdom is that a play-off would be a more fair way to determine the national champion, and more fun for fans to watch. The colleges finally agreed to begin a play-off in the 2014-2015 season, but with just four teams, and speculation continues that more teams will be added soon. A subtle downside to adding play-off teams is that it reduces the significance of regular season games.We use the framework of Ely, Frankel, and Kamenica (in press) to directly estimate the utility fans would get from this significance, that is, utility from suspense, under a range of play-off scenarios. Our results consistently indicate that play-off expansion causes a loss in regular season suspense utility greater than the gain in the postseason, implying the traditional bowl system (two team play-off) is suspense-optimal. We analyze and discuss implications for TV viewership and other contexts.
Observations beyond the 2-year impact window
Date: 2021-01-01
Creator: José Edwards, Stephen Meardon
Access: Open access
- In 2018, Clarivate Analytics, publisher of the Web of Science Journal Citation Reports (JCR), suppressed publication of the 2017 Journal Impact Factor (JIF) for three of the four journals that it then indexed in the academic field of history of economics. Clarivate judged one of the journals, History of Economic Ideas (HEI), to be the “donor” of citations that distorted the impact factors of the European Journal of the History of Economic Thought (EJHET) and the Journal of the History of Economic Thought (JHET). The other journal, History of Political Economy (HOPE), was not included in that judgment. Our purpose is to define the JIF, summarize the controversy that gave rise to this symposium, and discuss methodologically and historically some of the problems with the use of citation indexes in general and the JIF in particular. We show how these problems pertain differently to the scholarly field of the history of economics than to economics in general. In so doing we also introduce the following five articles of this symposium.
The efficiency of voluntary incentive policies for preventing biodiversity loss
Date: 2011-01-01
Creator: David J. Lewis, Andrew J. Plantinga, Erik Nelson, Stephen Polasky
Access: Open access
- Habitat loss is a primary cause of loss of biodiversity but conserving habitat for species presents challenges. Land parcels differ in their ability to produce returns for landowners and landowners may have private information about the value of the land to them. Land parcels also differ in the type and quality of habitat and the spatial pattern of land use across multiple landowners is important for determining the conservation value of parcels. This paper analyzes the relative efficiency of simple voluntary incentive-based policies in achieving biodiversity conservation objectives. This topic is important not just for biodiversity conservation but for any effort to provide a public good requiring coordination across multiple decision-makers who have some degree of private information. We develop a method that integrates spatially explicit data, an econometric model of private land-use decisions, landscape simulations, a biological model of biodiversity as a function of landscape pattern, and an algorithm that estimates the set of efficient solutions. These methods allow us to simulate landowner responses to policies, measure the consequences of these decisions for biodiversity conservation, and compare these outcomes to efficient outcomes to show the relative efficiency of various policy approaches. We find substantial differences in biodiversity conservation scores generated by simple voluntary incentive-based policies and efficient solutions. The performance of incentive-based policies is particularly poor at low levels of the conservation budget where spatial fragmentation of conserved parcels is a large concern. Performance can be improved by encouraging agglomeration of conserved habitat and by incorporating basic biological information, such as that on rare habitats, into the selection criteria. © 2010 Elsevier B.V.
“Unmotivated bias” and partisan hostility: Empirical evidence
Date: 2019-04-01
Creator: Daniel F. Stone
Access: Open access
- Extreme partisan animosity has been on the rise in the US and is prevalent around the world. This hostility is typically attributed to social group identity, motivated reasoning, or a combination thereof. In this paper, I empirically examine a novel contributing factor: the “unmotivated” cognitive bias of overprecision (overconfidence in precision of beliefs). Overprecision could cause partisan hostility indirectly via inflated confidence in one's own ideology, partisan identity, or perceptions of social distance between the parties. Overprecision could also cause this hostility directly by causing excessively strong inferences from observed information that is either skewed against the out-party or simply misunderstood. Using a nationally representative sample, I find consistent support for direct effects of overprecision and mixed support for indirect effects. The point estimates imply a one standard deviation increase in a respondent's overprecision predicts as much as a 0.71 standard deviation decline in relative out-party favorability.
An Alternative Perspective on Special Purpose Acquisition Companies (SPACs): Underpricing in the “No Target" Phase
Date: 2023-01-01
Creator: Anna G Constantine
Access: Open access
- Special Purpose Acquisition Companies marked a restructuring of the often-fraudulent 1980s blank check company, an entity gathering funds to merge or acquire another business entity. Based on the Special Purpose Acquisition Company structure, “the stock price should be greater than or equal to the pro-rata trust value, discounted from the SPAC’s expiration date, at all times prior to the shareholder vote date.” In this study, I research the “no target” phase of the Special Purpose Acquisition Company’s lifecycle to evaluate whether there is a difference between their trust value and their market capitalization. Based on previous research, we know that there is a discount to trust value prior to 2009; however, I postulate the decoupling of the SPAC merger approval vote and the vote for investors to redeem may eliminate this discount. Using a first difference regression to establish the premium to the average trust value of 1,057 Special Purpose Acquisition Companies traded between 2005 and 2022, we find that both the period before 2010 and after 2010 trades at a negative premium, or discount. Because the decoupling of the merger vote and the redemption vote did not eliminate the negative premium to trust value, I postulate that the structure of SPAC redemptions, modeled as a call option with decaying time value, may be responsible for this mispricing. I also draw opportunities for future research to investigate if the embedding of a call option into the SPAC redemption structure discourages shareholders from desiring merger outcomes early in the SPAC lifecycle.
With age comes immaturity: Do countries with older populations issue shorter maturity debt?
Date: 2021-12-01
Creator: Gonca Senel, Mark L.J. Wright
Access: Open access
- Recent work has found that countries with older populations face steeper yield curves and issue shorter maturity debt than do younger countries. We reexamine these findings using a new database of public debt maturity and yields for OECD countries. We first show that the behavior of eurozone countries in the pre-euro period drives these results. Next, including more recent data from the post-euro period, we show that the relationship between population age, maturity, and yield curve slopes disappears. This finding is robust to excluding high-credit-risk countries. Last, we show that these patterns reemerge after the European debt crisis, suggesting that eurozone capital markets have resegmented.
Partisan selective engagement: Evidence from Facebook
Date: 2020-09-01
Creator: Marcel Garz, Jil Sörensen, Daniel F. Stone
Access: Open access
- This study investigates the effects of variation in “congeniality” of news on Facebook user engagement (likes, shares, and comments). We compile an original data set of Facebook posts by 84 German news outlets on politicians that were investigated for criminal offenses from January 2012 to June 2017. We also construct an index of each outlet's media slant by comparing the language of the outlet with that of the main political parties, which allows us to measure the congeniality of the posts. We find that user engagement with congenial posts is higher than with uncongenial ones, especially in terms of likes. The within-outlet, within-topic design allows us to infer that the greater engagement with congenial news is likely driven by psychological and social factors, rather than a desire for accurate or otherwise instrumental information.
Economic-based projections of future land use in the conterminous United States under alternative policy scenarios
Date: 2012-04-01
Creator: V. C. Radeloff, E. Nelson, A. J. Plantinga, D. J. Lewis, D., Helmers, J. J. Lawler, J. C. Withey, F. Beaudry, S. Martinuzzi
Access: Open access
- Land-use change significantly contributes to biodiversity loss, invasive species spread, changes in biogeochemical cycles, and the loss of ecosystem services. Planning for a sustainable future requires a thorough understanding of expected land use at the fine spatial scales relevant for modeling many ecological processes and at dimensions appropriate for regional or national-level policy making. Our goal was to construct and parameterize an econometric model of land-use change to project future land use to the year 2051 at a fine spatial scale across the conterminous United States under several alternative land-use policy scenarios. We parameterized the econometric model of land-use change with the National Resource Inventory (NRI) 1992 and 1997 land-use data for 844 000 sample points. Land-use transitions were estimated for five land-use classes (cropland, pasture, range, forest, and urban). We predicted land-use change under four scenarios: business-as-usual, afforestation, removal of agricultural subsidies, and increased urban rents. Our results for the business-as-usual scenario showed widespread changes in land use, affecting 36% of the land area of the conterminous United States, with large increases in urban land (79%) and forest (7%), and declines in cropland (\-16%) and pasture (\-13%). Areas with particularly high rates of land-use change included the larger Chicago area, parts of the Pacific Northwest, and the Central Valley of California. However, while land-use change was substantial, differences in results among the four scenarios were relatively minor. The only scenario that was markedly different was the afforestation scenario, which resulted in an increase of forest area that was twice as high as the business-as-usual scenario. Land-use policies can affect trends, but only so much. The basic economic and demographic factors shaping land-use changes in the United States are powerful, and even fairly dramatic policy changes, showed only moderate deviations from the business-as-usual scenario. Given the magnitude of predicted land-use change, any attempts to identify a sustainable future or to predict the effects of climate change will have to take likely land-use changes into account. Econometric models that can simulate land-use change for broad areas with fine resolution are necessary to predict trends in ecosystem service provision and biodiversity persistence. © 2012 by the Ecological Society of America.