Adding Value with Benefit-Cost Analysis: Forecasting Net Social Benefit from Impacts of Slot Machine Gambling in Maryland

2015 ◽  
Vol 6 (2) ◽  
pp. 281-304
Author(s):  
Scott Farrow

The estimated impacts, benefits, and costs of legalizing slot machines in Maryland are analyzed building on and contrasting with results from an impact analysis. The analysis provides estimates of the components and the total net benefits to the state and its citizens; the role of uncertainty, distributional impacts, and a basic tax alternative. The results forecast mostly positive net benefits for Maryland both in comparison to doing nothing and in comparison to raising an equivalent amount in taxes. However, if slot revenue raised from the lower income population is given more weight, then doing nothing or raising taxes appears to be preferred.

2020 ◽  
pp. 1-21
Author(s):  
James K. Hammitt

Abstract Benefit–cost analysis (BCA) is often viewed as measuring the efficiency of a policy independent of the distribution of its consequences. The role of distributional effects on policy choice is disputed; either: (a) the policy that maximizes net benefits should be selected and distributional concerns should be addressed through other measures, such as tax and transfer programs or (b) BCA should be supplemented with distributional analysis and decision-makers should weigh efficiency and distribution in policy choice. The separation of efficiency and distribution is misleading. The measure of efficiency depends on the numéraire chosen for the analysis, whether monetary values or some other good (unless individuals have the same rates of substitution between them). The choice of numéraire is not neutral; it can affect the ranking of policies by calculated net benefits. Alternative evaluation methods, such as BCA using a different numéraire, weighted BCA, or a social welfare function (SWF), may better integrate concerns about distribution and efficiency. The most appropriate numéraire, distributional weights, or SWFs cannot be measured or statistically estimated; it is a normative choice.


2020 ◽  
Vol 11 (2) ◽  
pp. 179-195 ◽  
Author(s):  
Linda Thunström ◽  
Stephen C. Newbold ◽  
David Finnoff ◽  
Madison Ashworth ◽  
Jason F. Shogren

AbstractWe examine the net benefits of social distancing to slow the spread of COVID-19 in USA. Social distancing saves lives but imposes large costs on society due to reduced economic activity. We use epidemiological and economic forecasting to perform a rapid benefit–cost analysis of controlling the COVID-19 outbreak. Assuming that social distancing measures can substantially reduce contacts among individuals, we find net benefits of about $5.2 trillion in our benchmark case. We examine the magnitude of the critical parameters that might imply negative net benefits, including the value of statistical life and the discount rate. A key unknown factor is the speed of economic recovery with and without social distancing measures in place. A series of robustness checks also highlight the key role of the value of mortality risk reductions and discounting in the analysis and point to a need for effective economic stimulus when the outbreak has passed.


Author(s):  
Scott Farrow ◽  
Chava Carter

This chapter reviews the basic economic welfare criteria for slot machines, as implemented via benefit-cost analysis. More specifically, it provides a conceptualization of the benefits and costs of slot machines, as well as a scorecard for key elements of a benefit-cost analysis. The chapter also presents several illustrative empirical studies and discusses areas for additional research.


2019 ◽  
Vol 43 (1-2) ◽  
pp. 3-40
Author(s):  
George C. Galster ◽  
Anna Maria Santiago ◽  
Richard J. Smith ◽  
Joffre Leroux

Background: Federal policy has increasingly sought to build financial capability, earnings, and assets of subsidized housing recipients. Objective: We conduct a benefit–cost analysis of the Denver Housing Authority’s (DHA) innovative Home Ownership Program (HOP), which incentivizes participants to increase earnings, build wealth, and purchase homes. Research design, subjects, and measures: In assessing HOP participant benefits (earnings, home-buying, and positive exits from DHA), we use parameter estimates from quasi-experimental methods (i.e., propensity score matching) that permit drawing causal inferences of program impacts. Impact estimates are robust to alternate model specification and mostly insensitive to omitted variable bias found in the social sciences. We deploy a comprehensive accounting framework, distinguishing benefits and costs accruing to program participants, nonparticipants (other citizens, taxpayers, and governments), and society as a whole. We use Monte Carlo simulation techniques to approximate distributions of benefit and cost parameters, thereby ascertaining how reliably participation in HOP yielded net benefits compared to if families had continued to receive housing assistance during the same period. Results: We estimate a net social benefit from HOP of US$6,015 per participant. The simulated standard deviation was only a third of this value and 99.9% of simulations returned positive net social benefits. Conclusion: We conclude with a high degree of statistical confidence that HOP produced substantial net benefits to society as a whole, program participants, and nonparticipants alike. HOP offers strong potential for poverty alleviation among housing subsidy recipients and should be replicated.


2011 ◽  
Vol 2 (2) ◽  
pp. 1-20 ◽  
Author(s):  
David F. Burgess ◽  
Richard O. Zerbe

In order to be sensible about what discount rate to use one must be clear about its purpose. We suggest that its purpose is to help select those projects that will contribute more net benefits than some other discount rate. This approach, which is after all the foundation for benefit-cost analysis, helps to reconcile different suggested procedures for determining the discount rate. We suggest that the social opportunity cost of capital (SOC) is superior to other suggested approaches in its generality and its ease of use. We use the SOC to determine a range of real rates that vary between 6% and 8%. We suggest that approaches based on determination of preferences, which result in hyperbolic discounting, are less appropriate and less useful.


Author(s):  
Thomas A. Grigalunas ◽  
James J. Opaluch ◽  
Young Tae Chang

Port dredging to accommodate larger vessels can create substantial national economic benefits. However, how affected individual states fare economically with dredging is often unclear and can be an important issue. The benefits and the costs to Delaware residents of dredging—with the recent proposed deepening of the Delaware Bay and River main federal channel as a case study—are examined. Benefits include ( a) lower transportation costs that residents might receive on imported goods, ( b) profits that residents would realize if cost savings (e.g., on refinery products) were not passed forward to Delaware users, ( c) project costs that residents would bear as federal taxpayers, and ( d) benefits that residents would realize if the use of dredged sediments for planned beach renourishment created savings to the state. Sensitivity analyses are used to reflect uncertainty in outcomes. The estimated net present value to Delaware today of all future annual quantifiable benefits and costs ranges between $15,528,393 and $14,195,700 over 50 years at 5.875%. Stated another way, the quantified net benefits for Delaware imply a benefit-cost ratio between 2.07 and 1.89. Hence, for every dollar of the $7.5 million that Delaware would pay as a nonfederal cosponsor, estimated quantifiable net benefits to the state are $2.07 to $1.89. Some benefit and cost estimates are vehemently debated between interested parties, and not all benefits and costs can be quantified.


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