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The purpose of this case is to allow students the opportunity to examine how the recent changes to depreciation incentives in the Tax Cuts and Jobs Act of 2017 (P.L. 115-97, Dec. 22, 2017) may affect the purchase of capital assets. Bonus depreciation has been extended to allow an immediate 100% deduction for eligible property, which also now includes used property. This bonus depreciation will be phased out over a nine-year period. Additionally, the progressive marginal tax rate used for business income has been eliminated and replaced by a flat 21% tax rate, representing a 14% drop in the tax rate on businesses.

Specifically, this case will examine how a change from 50% to 100% bonus depreciation affects purchasing decisions between asset classes, due to the exaggerated impact on the net present value for longer lived assets. In keeping with the evolution of accounting in academia, students will be asked both to solve a realistic problem and to communicate their investment decisions effectively. To prepare students for the assignment, the informational building blocks are presented in modules following Bloom’s taxonomy – culminating in the application of the concepts in a decision-making scenario. The learning method applied in this case has been tested in the classroom, with quantifiable results showing a positive learning outcome. Pre- and post-case assessment questions were administered with significant improvement in students reported understanding across all six measures. Based on these results, this case achieves the dual goals of teaching students how to apply the concept of bonus depreciation to maximize value and how to communicate this information effectively.

This paper examines the optimal use of tax incentives relating to the Hawaii sales, use and excise tax. While many states offer exemptions to these taxes, Hawaii is the only known state that ties its excise tax credit to the depreciation method used on the state income tax return. Therefore, the purpose of this study is to use the Hawaii business tax context to illustrate the complex trade-offs and year-by-year analyses that small businesses often must employ in the presence of shifting federal tax policy that indirectly influences state tax structures because of tax coupling. Federal and Hawaii taxpayers can elect to expense depreciable property using the 179 expensing provision or to depreciate using the modified accelerated cost recovery system (MACRS). We develop a model that will help non-corporate small businesses in Hawaii determine their optimal tax cost recovery strategy: (1) Utilize Hawaii Section 179 immediate expensing on purchases of tangible personal property, or alternatively (2) Employ MACRS depreciation on these purchases combined with the Hawaii Capital Goods Excise Credit. Our modeling separately considers the possibility that the proprietor jointly makes the federal and Hawaii cost recovery decision, as well as the alternative possibility that these cost recovery decisions are made independently.

The study illustrates that the interaction of federal and state law differences exacerbated by frequent tax changes may cause significant tax compliance complexity and resulting confusion for small non-corporate business taxpayers who are generally not equipped to wrestle with such issues. From a policy perspective, states may wish to minimize complexity using coupling efforts with federal law or otherwise routinely revisit outdated state tax statutes that indirectly cause unintended tax consequences. States must be cognizant, however, that their own budget constraints may worsen if they fully couple with recent generous federal Section 179 expensing limits.

The use of corporate aircraft has increased as businesses place more value on ease of mobility. The bonus depreciation incentives of 2002 and 2003 provided growth opportunities for the general aviation market by allowing accelerated depreciation deductions for the purchase of new corporate aircraft. These incentives allowed more than twice the traditional MACRS allowance for depreciation for the first year of operation of an asset, but the present value of the tax savings after the full depreciable life of the corporate aircraft only generated a 3.25 percent reduction in the after-tax-cost. This study documents that the bonus depreciation incentives did not generate significant growth in the general aviation aircraft market via increased production of aircraft. These incentives may have simply slowed the recession that might have taken place in this industry otherwise. However, the incentives in this study did play a significant role in determining which type of aircraft to purchase, piston or turbine.

Bonus depreciation was enacted by the United States Congress and signed into law in 2002 largely in response to the economic malaise that engulfed the U.S. economy after the September 11, 2001 terrorist attacks. We investigate whether bonus depreciation, a capital asset expensing allowance under the U.S. federal income tax code, impacts the level of business investment in property, plant, and equipment in the time periods that followed 9-11 in comparison to other earlier time periods. Based on the empirical evidence, the bonus depreciation policy has a positive effect on capital expenditures only in the period in which this policy was legislatively anticipated, specifically the period spanning the last quarter of 2001 and the first quarter of 2002. Otherwise, we find no significant increase in capital expenditures during the period that this special depreciation provision policy is initially in place from 2002 to 2005. Although bonus depreciation is re-enacted in response to the fiscal distress and recession that began in 2007, capital expenditures actually decline during the recovery era, a period following the post-2008 subprime mortgage crisis. Though Congress continues to temporarily re-enact bonus depreciation on an annual basis through December 31, 2014, there is no strong evidence that capital investment is positively impacted. Instead, the empirical results show that factors that positively affect the level of companies’ capital expenditures include capital intensity, cost of capital, amount of cash holdings, changes in sales and loans. Our empirical results invite the question of Congress’ intended goal in re-instating bonus depreciation for 2015 through 2019.

The purpose of this paper is to investigate which sectors are more vulnerable to human capital depreciation, with an emphasis on potential differences in skills and in ICT intensities.

The authors estimate an extended Mincerian earnings equation based on Neuman and Weiss’s (1995) model using the EU-KLEMS international database for 15 sectors for the period from 1980 to 2005. The authors also test structural ruptures in earnings and human capital depreciation in the labor market per decade controlling by technological intensity.

Human capital depreciation ranges from 1 to 6 percent. It is mainly significant in skill-intensive sectors regardless of the sector’s technological intensity. The analysis of structural breaks shows that human capital value indeed changed from decade to decade. It even appreciated in low skill-intensive sectors in the 1980s and in the high skill-intensive during the 1990s. Appreciation though, was mainly skill-biased.

Information about on-the-job-training and non-cognitive skills that can also affect human capital depreciation are not included due to lack of data.

To prevent human capital from depreciating in particular sectors and periods educational systems should provide the tools for ongoing lifelong learning at all skills levels. Education is subject to dynamic effects that should be addressed to increase the potential benefits of technological change.

First, instead of using cross-section analysis which is considered to be a pitfall in studying the depreciation of knowledge, the authors observe its dynamic on a longitudinal basis. Second, the international macro-sectoral approach goes beyond limited micro-sectoral analysis in certain countries.

Both financial and non-financial functions are imbedded in the life-cycle management activities of building assets. These functions provide relevant information for the establishment of operational and maintenance strategies and for decision-making processes related with the timing of major repairs, replacements and rehabilitations. The purpose of this paper is to focus on improving the alignment of financial and non-financial functions related to the recognition that the service potential of buildings should be appropriately funded as it is consumed over its life cycle.

Authors undertake an analysis of depreciation rates used to accommodate a systematic allocation of the depreciable amount of building assets over its useful life. Different depreciation approaches and calculation methods are explored. A case study of a school building portfolio is used to debate situations of misalignment of financial and non-financial depreciation rates. Data mining methods including decision tree and clustering are used to predict equivalent functional depreciation rates of buildings system and subsystems and promote an enhanced alignment with regulated financial depreciation rates toward an optimized life-cycle management of the school building portfolio.

Historical data show the relevance of considering technical and functional characteristics of the building system and their subsystems (landscaping; structure; external elevations and roofs; interior divisions; and services and equipment) when determining depreciation rates for the building assets The case study showed a misalignment of equivalent functional and financial depreciation rates used in the life-cycle management activities of the school building portfolio ranging between 1/1.26 for external elevations and roofs and 1/5.21 for landscaping.

Buildings initial technical and functional attributes are affected with its wear, aging or decay, causing loss of value until they reach end-of-life. This paper demonstrates the impact of the different interpretations of the concept of useful life and the subsequent misalignment that it generates between financial functions based on financial depreciation rates and non-financial functions based on historical data and the functional equivalent (technical and functional) depreciation rates. Economic data of 158 public school buildings constructed in Portugal since the 1940s, that sound life-cycle thinking enhances the alignment of both financial and non-financial functions.

This paper aims to complement a more conventional positive accounting theory (PAT)‐based study of accounting method choice in Egyptian firms by examining three alternative computational reasons for depreciation method choice: simplicity; compatibility with industry norm; and suitability for class of asset.

The paper draws on a questionnaire survey, sent to Egyptian companies, in which managers were asked to indicate their reasons for choosing depreciation methods as well as the actual depreciation methods used.

The paper finds that technical reasons were frequently given in survey responses from managers. However, the available evidence on the actual depreciation methods used by their firms and industries is in fact more consistent with PAT‐based theories of accounting choice than with such alternatives. This suggests that the responses to the survey reflected managers' rationalisations of decisions made for self‐interested purposes.

Most recent work on managerial decisions concerning accounting choices utilises data gathered from databases of published financial information and is undertaken within a PAT context. This study extends that approach by utilising the results of a questionnaire distributed in Egypt to test some additional hypotheses that reflect possible technical accounting reasons for justifying depreciation methods.

The paper addresses the practical problems which emerge when attempting to apply longitudinal approaches to the assessment of property depreciation using valuation‐based data. These problems relate to inconsistent valuation regimes and the difficulties in finding appropriate benchmarks.

The paper adopts a case study of seven major office locations around Europe and attempts to determine ten‐year rental value depreciation rates based on a longitudinal approach using IPD, CBRE and BNP Paribas datasets.

The depreciation rates range from a 5 per cent PA depreciation rate in Frankfurt to a 2 per cent appreciation rate in Stockholm. The results are discussed in the context of the difficulties in applying this method with inconsistent data.

The paper has methodological implications for measuring property investment depreciation and provides an example of the problems in adopting theoretically sound approaches with inconsistent information.

Valuations play an important role in performance measurement and cross border investment decision making and, therefore, knowledge of inconsistency of valuation practice aids decision making and informs any application of valuation‐based data in the attainment of depreciation rates.

The paper provides new insights into the use of property market valuation data in a cross‐border context, insights that previously had been anecdotal and unproven in nature.

The purpose of this paper is to consider prospects for UK REITs, which were introduced on 1 January 2007. It specifically focuses on the potential influence of depreciation and expenditure on income and distributions.

First, the ways in which depreciation can affect vehicle earnings and value are discussed. This is then set in the context of the specific rules and features of REITs. An analysis using property income and expenditure data from the Investment Property Databank (IPD) then assesses what gross and net income for a UK REIT might have been like for the period 1984‐2003.

A UK REIT must distribute at least 90 per cent of net income from its property rental business. Expenditure therefore plays a significant part in determining what funds remain for distribution. Over 1984‐2003, expenditure has absorbed 20 per cent of gross income and been a source of earnings volatility, which would have been exacerbated by gearing.

Expenditure must take place to help UK REITs maintain and renew their real estate portfolios. In view of this, investors should moderate expectations of a high and stable income return, although it may well still be so relative to alternative investments.

Previous literature on depreciation has not quantified amounts spent on portfolios to keep depreciation at those rates. Nor, to our knowledge, has its ideas been placed in the indirect investor context.

The purpose of this paper is to examine the effects of exchange rate shock on the broad spectrum of the US economy using a factor-augmented VAR model (FAVAR).

The authors developed a two-factor FAVAR model and estimated it with the single-step Bayesian likelihood approach using the Gibbs sampling technique. The two factors represented, respectively, the economic activity and price pressures. The exchange rate shock was identified with the Choleski decomposition method for VARs. The authors used the data of 117 time series for the period from 1973:02 to 2007:12. Impulse responses and variance decompositions were computed as the main results.

The authors found that exchange rate shock has pervasive effects on the US economy as the following: depreciation does not appear to help reduce the US trade deficit as both import and export rise with the depreciation shock; in the short run, depreciation appears expansionary as industrial production, manufacturing and employment all increase within a year; in the medium run, depreciation appears inflationary, as consumer price, producer price, import price and export price all increase; and in the medium run, depreciation appears contractionary as personal consumption, consumer confidence, stock price and housing start tend to fall.

Some caveats remain: first, our simple model symmetrically estimates depreciation shock and appreciation shock and, hence, cannot draw inferences for how exchange rate appreciation and depreciation may affect the US economy asymmetrically. Second, the simple model used did not distinguish the different possible sources of exchange rate depreciation shock, the knowledge of which may lead to richer policy implications and is the direction of research for the future.

This research contributes to the literature of whether exchange rate is expansionary or contractionary to the US economy using the FAVAR model. This is the first comprehensive study in the literature studying the pervasive effects of the exchange rate on the broad spectrum of the US economy in one integrated model.