SNAP and Paycheck Cycles

It is well documented that individuals do not spend the Supplemental Nutrition Assistance Program (SNAP) benefits smoothly over the month after receipt. Rather, recipients spend a disproportionate share of benefits at the beginning of the benefit month. This has costs for recipients and stores. There is also evidence that other income streams, such as Social Security and paychecks, are not spent smoothly. The presence of these other income streams may bias estimates of the effects of this SNAP cycle on consumption for working SNAP beneficiaries and those who receive other government benefits. We use data from United States Department of Agriculture's National Household Food Acquisition and Purchase Survey to explore how the SNAP cycle is affected by accounting for these other income streams. We find suggestive evidence that the cycle is more pronounced for workers who are paid on a weekly or monthly basis, but little evidence that cycles in other income streams mitigate or exacerbate the SNAP cycle.     

The Simple Analytics of Evaluating NFL Trades

Atlantic Economic Journal -     

Employment Protection and SME Capital Structure Decisions

This study examines the effect of employment protection (EP) on the capital structure of SMEs. We argue that EP is linked to both the level of leverage and leverage adjustments because of its impact on financial distress costs and a firm's operational leverage. Data on employment contract types allow us to compose company specific measures of exposure to EP using a panel data set of 14,858 Belgian SMEs between 2000 and 2012. Our results show that the leverage ratio of firms is higher and that firms are more likely to adjust leverage levels when they are subject to fewer EP obligations.     

The evolution of scale economies in US banking

Continued consolidation of the US banking industry and a general increase in the size of banks have prompted some policymakers to consider policies that discourage banks from getting larger, including explicit caps on bank size. However, limits on the size of banks could entail economic costs if they prevent banks from achieving economies of scale. This paper presents new estimates of returns to scale for US banks based on nonparametric, local‐linear estimation of bank cost, revenue, and profit functions. We report estimates for both 2006 and 2015 to compare returns to scale some 7 years after the financial crisis and 5 years after enactment of the Dodd–Frank Act with returns to scale before the crisis. We find that a high percentage of banks faced increasing returns to scale in cost in both years, including most of the 10 largest bank holding companies. Also, while returns to scale in revenue and profit vary more across banks, we find evidence that the largest four banks operate under increasing returns to scale.     

Negative interest rate policy and the yield curve

We evaluate the implications of the ECB's negative interest rate policy (NIRP) on the yield curve. To capture various shapes of the short end of the yield curve induced by the NIRP, we introduce two policy indicators, which summarize the immediate and longer horizon future monetary policy stances. We find that the four NIRP events lowered the short-term interest rate by the same amount. The impact is dampened at longer maturities for the first two event dates, due to lack of forward guidance. By contrast, for the last two dates, forward guidance drives the largest effects in two years.     

Does reputation of sponsors matter in IPO? Evidence from Hong Kong

Contrary to other markets where underwriters perform a combined role of underwriting and sponsoring in an Initial Public Offering (IPO), IPO issuers in Hong Kong must appoint at least one sponsor in addition to the underwriters. The splitting of the single role of underwriters into two separate ones offers an ideal setting to disentangle the effects of the two roles and to examine which of the two roles—sponsor or underwriter—is more important in explaining IPO underpricing and initial volatility in the Hong Kong equity market. Interestingly, our findings provide supportive evidence that the sponsor reputation does matter in an IPO and it is even more significant than the underwriter reputation in explaining the IPO underpricing phenomenon. Given the recent high-tech fervor, our research goes deeper to examine specifically the role of sponsors on high-tech firms, with results indicating that the reliance on sponsors is higher for traditional issuers than for technology firms. We further discover that sponsors and underwriters are playing substitution roles rather than complementary roles. In order to examine the regulatory policy impact, our research also compares the role of IPO sponsors before and after the launch of the new sponsor regulatory regime in 2013. The empirical findings lend support to our argument that after the launch of the new regulations, public awareness of sponsors is raised, respect towards more reputable sponsor increases, and thus, the role of sponsors becomes more important than before.     

Can the Timing of Negotiations Impact the Consequences of Mergers?

This paper uses a theoretical model to examine whether variation in the timing of negotiations between buyers and sellers can alter the effects of mergers between sellers. The model shows that mergers between horizontally overlapping firms lead to price increases regardless of how negotiations take place. In contrast, mergers between firms in different markets can only lead to higher compensation for the combined firm when negotiations occur sequentially. However, any price effects from out‐of‐market mergers stem from a mechanical redistribution of existing market power and not from a loss in competition. Published 2014. This article is a U.S. Government work and is in the public domain in the USA.     

Financial functional analysis: a conceptual framework for understanding the changing financial system

The financial system is currently undergoing a revolution brought about by e-finance, digital convergence, new market entrants and government-encouraged competition. New market entrants such as Apple, Alibaba, Facebook and Google come from industries such as IT, retail, social media and telecoms, and, therefore, do not fit comfortably within traditional financial institutional structures. A functional perspective might provide more practical insights into this revolution; however, the functional perspective has had a limited impact. This paper will investigate the benefits and limitations of financial functional analysis; probe the underpinning principles of sociology’s structural functional analysis; revisit Merton and Bodie’s (1995) six core financial functions in relation to new entrants in the financial landscape; and, finally, argue that in the new financial environment, functional analysis provides a more coherent and explanatory framework of the financial system for students and practitioners alike.     

Two-stage DEA: <Emphasis Type="Italic">caveat emptor</Emphasis>

This paper examines the wide-spread practice where data envelopment analysis (DEA) efficiency estimates are regressed on some environmental variables in a second-stage analysis. In the literature, only two statistical models have been proposed in which second-stage regressions are well-defined and meaningful. In the model considered by Simar and Wilson (J Prod Anal 13:49–78, 2007), truncated regression provides consistent estimation in the second stage, where as in the model proposed by Banker and Natarajan (Oper Res 56: 48–58, 2008a), ordinary least squares (OLS) provides consistent estimation. This paper examines, compares, and contrasts the very different assumptions underlying these two models, and makes clear that second-stage OLS estimation is consistent only under very peculiar and unusual assumptions on the data-generating process that limit its applicability. In addition, we show that in either case, bootstrap methods provide the only feasible means for inference in the second stage. We also comment on ad hoc specifications of second-stage regression equations that ignore the part of the data-generating process that yields data used to obtain the initial DEA estimates.     

Nondiscretionary residential water use: the impact of habits and water‐efficient technologies

Several studies published in the last few decades have demonstrated a low price‐elasticity for residential water use. In particular, it has been shown that there is a quantity of water demanded that remains constant regardless of prices and other economic factors. In this research, we characterise residential water demand based on a Stone‐Geary utility function. This specification is not only theory‐compatible but can also explicitly model a minimum level of consumption not dependent on prices or income. This is described as minimum threshold or nondiscretionary water use. Additionally, the Stone‐Geary framework is used to model the subsistence level of water consumption that is dependent on the temporal evolution of consumer habits and stock of physical capital. The main aim of this study is to analyse the impact of water‐saving habits and water‐efficient technologies on residential water demand, while additionally focusing attention on nondiscretionary uses. This is informed by an empirical application using data from a survey conducted among residents of Brisbane City Council, Australia. The results will be especially useful in the design of water tariffs and other water‐saving policies.