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The purpose of this paper is to estimate the impact of Internal Revenue Code cost recovery provisions – Section 179 and “bonus depreciation” – on farm capital investment.

The authors construct a synthetic panel of data consisting of cohorts of similar farms based on state and production specialization using the USDA’s Agricultural Resource Management Survey for years 1996-2012. Employing panel data methods, the authors are able to control for time-invariant fixed effects, as well as the effects of past investment on current investment.

The authors estimate statistically significant investment demand elasticities with respect to the Section 179 expensing deduction of between 0.28 and 0.50. A change in bonus depreciation, on average, had little impact on capital investment.

The estimates suggest there is a modest effect of the cost recovery provisions on investment overall, but a stronger effect on farms that have more than $10,000 in gross cash farm income. There are other implications for the agricultural sector: the provisions may encourage technology adoption with its associated benefits, such as reduced cost of production and improved conservation practices. On the other hand, the policy could contribute to the growing concentration in production as large commercial farms expand their operated acreage to take advantage of increasingly efficient physical capital.

To the authors’ knowledge, this is the first research to use a nationally representative dataset to estimate to impact of Section 179 and “bonus depreciation” on farm investment. The findings provide evidence of the provisions’ impact on farm capital purchases.

The paper examines the evolution of beginning farms’ income statement and balance sheet items over a 15-year period. The purpose of this paper is to gain insight into the diversity of beginning farms from a financial point of view.

Using the USDA’s Agricultural Resource Management Survey (ARMS), the author constructs a synthetic panel of data consisting of age cohorts of beginning farmers and follow them over time. Baseline financial information for the farm income statement and balance sheet is examined in 1999 and again in 2014 for each cohort.

Overall, there is a marked contrast in the evolution in the income statement between beginning farmers who are under 45 years old and those over 45. The gross cash income of the youngest cohorts grows tremendously, as do their expenses, indicating rapid expansion in production on the part of the youngest cohorts. The change in the balance sheets of the cohorts also provides a glimpse into the changing roles of beginning famers over time. The youngest cohort of beginning farmers increase the current and non-current assets on their balance sheets by a substantial amount, more than doubling both. Furthermore, the youngest cohort is the only group to take on more current liabilities, indicating increased financing of the production expenses.

Differences in the evolution of financial profiles of beginning farms may predict differences in future output, and it could be a predictor of the farm’s operational goals or intentions, as well as predictor of future financial needs and challenges.

Knowing and understanding likely trajectories of beginning farmers may provide an opportunity to better tailor farm programs, outreach, and support to beginning farmers.

The purpose of this paper is to examine the dynamic relationship between policies related to educational provision and both educational participation and occupational outcomes in Brazil, using PNAD and RAIS-Migra data.

Outcomes are examined using: static multinomial logit analysis, and structural dynamic discrete choice modelling. The latter approach, coupled with the quality of the RAIS-Migra data source, allows the authors to evaluate the education policy impacts over time.

The main results show that the education level raises the propensity that the individual will be in formal sector work or still in education, and reduces the probability of the other outcomes. Transition into non-manual formal sector work following education may, however, occur via a spell of manual work.

This is the first study of occupational destination to be conducted in a rapidly developing country using high-quality panel data and appropriate dynamic methods, and as such makes an important contribution in confirming that increased supply of highly skilled workers enhances occupational attainment in this context.

The purpose of this paper is to examine the use of accelerated depreciation deductions, which includes Section 179 and bonus depreciation, taken in the first year of asset life by Michigan farms. The frequency, value and influence of accelerated depreciation on farm investment are also analyzed.

Accrual adjusted income statements, balance sheets, depreciation schedules, and income tax information for 66 Michigan farms from 2004 to 2014 provide data for the analysis. The present value of the accelerated deduction and change in the cost of capital were calculated. Finally, investment elasticities were used to arrive at the change in investment due to accelerated depreciation.

Accelerated depreciation was utilized across all applicable asset classes. Section 179 was used more often than bonus depreciation in part because it was available in all the examined years. Based on actual farm business use, accelerated depreciation lowered the cost of capital for the operations resulting in an estimated increase in investment of 0.27 to 11.6 percent depending on asset class.

The data utilized are of a detail not available in previous investigations which used either aggregate data or estimated rather than the observed use of accelerated depreciation. This analysis reveals that accelerated depreciation as used by commercial farms lowers the cost of capital and thus encourages investment particularly in machinery and equipment.

The purpose of this paper is to investigate the consequences of the auditor’s choice in group companies and the expectation gap of listed firms on the Tehran Stock Exchange (TSE).

In this study, 128 companies (768 observations) listed on the TSE during the period 2012 to 2017 have been investigated. To test the hypotheses, logistic regression has been used.

The results showed that companies that are members of business groups are more likely to choose their auditors from large audit firms. The research findings also showed no significant relationship between the business group firms that have used the large auditor and the financial reporting quality. The results showed a positive and meaningful relationship between the member firms that use the large auditor and the audit fees. The results showed a negative and significant relationship between membership in business groups and the audit expectations gap.

Despite the importance of the audit performance, defining auditors’ roles most acceptably has always been challenging to create a gap through the diverse understanding of auditors’ role, which is the distance of perception between users’ auditors. For this reason, over the past years, the audit expectation gap and how to reduce it have focused on academics, professional accounting firms and users of financial statements. As any unmet expectations from the community will reduce the audit firm’s credibility and ability to gain and be widely detrimental to stakeholders, the audit study’s expectation gap in performing audit study is critical. Although there are extensive studies on the gap in auditing expectations in developed economies, most conclusions cannot be attributed to developing countries such as Iran due to cultural and legal differences. Besides, the audit environment in Iran and existing laws can have different results. This research also helps to bridge this gap by providing additional guidance to regulators. Besides, as all recent studies on the expectation gap were qualitative, the present study measures the expectation gap through quantitative statistical methods.

The pivotal aspect of aircraft assembly lies in precise measurement accuracy. While a solitary digital measuring tool suffices for analytical and small surfaces, it falls short for extensive synthetic surfaces like aircraft fuselage panels and wing spars. The purpose of this study is to develop a “combined measurement method” (CMM) that enhances measurement quality and expands the evaluative scope, addressing the limitations posed by singular digital devices in meeting measurement requirements across various aircraft components.

The study illustrated the utilization of the CMM by combining a laser tracker and a portable arm-measuring machine. This innovative approach is tailored to address the intricate nature and substantial dimensions of aircraft fuselage panels. The portable arm-measuring machine performs precise scans of panel components, while common points recorded by the laser tracker undergo coordinate conversion to reconstruct the fuselage panel’s shape. The research outlines the CMM’s measurement procedure and scrutinizes the data processing technique. Ultimately, the investigation yields a deviation vector matrix and chromatogram deviation distribution, pivotal in achieving enhanced measurement precision for the novel CMM device.

The use of CMM noticeably enhances fuselage panel assembly accuracy, concurrently reducing assembly time and enhancing efficiency compared to conventional measurement systems.

The research’s practical implication lies in revolutionizing aircraft assembly by mitigating accuracy issues through the innovative digital CMM for aircraft synthetic structure type product (aircraft fuselage panel). This ensures safer flights, reduces rework and enhances overall efficiency in the aerospace industry.

Introducing a new aircraft assembly accuracy compensation method through digital combined measurement, pioneering improved assembly precision. Also, it enhances aerospace assembly quality, safety and efficiency, offering innovative insights for optimized aviation manufacturing processes.

Because of the renewed interest in public purchasing and the strategic use of public funds under the requirements of sustainable development, the question arose once again as to how to curb the fall of institutional quality once criteria other than price are inserted into the decision-making in public purchasing. E-procurement has been repeatedly named as one of the most efficient tools to that effect and the present paper sets out to discover whether the implementation of e-procurement in a particular country per se entails also higher institutional quality, allowing for a wider implementation of green and sustainable procurement at the national, regional and municipal level without the fear of worsening the country’s institutional quality. By analyzing the implementation of e-procurement in Denmark, the Netherlands and in Portugal, this paper aims to verify the hypothesis that the implementation of e-procurement implies better institutions in terms of public purchasing. As such, the conclusions will be used in further research on the prerequisites for a successful implementation of green public procurement across the European Union.

Gathering data on institutional quality of three early e-procurement adopters (Denmark, the Netherlands and Portugal) allows for comparison of institutional quality pre- and post-e-procurement implementation. By using difference-in-differences comparison the paper seeks to answer the question how doesmandatory e-procurement influence institutional quality on the national level.

The paper finds that the reform is generally associated with a relatively stronger control of corruption in the Netherlands and Denmark, while a similar reform in Portugal failed to translate into a stronger control of corruption. Furthermore, while using the quality of regulation as a dependent variable, a positive and robust effect on the quality of regulation in Denmark was shown, while the quality of reputation in the Netherlands and Portugal declined in the post-reform period, with the drop in the quality of regulation in Portugal being considerably greater, a two-fold higher amount than the estimated drop in the Netherlands. The paper suggests that in spite of the same aims, the reform yielded substantially different or even opposing effects compared to Denmark.

By examining three examples of early adopters, further research with broader impact is needed to deduce general implications for e-procurement implementation. Furthermore, implementation of e-procurement at the regional or local level can also yield distinct results.

Understanding the actual impact of e-procurement on institutional quality is indispensable for further study on the matter. The present study argues that e-procurement needs to be accompanied by additional measures or variables to yield a positive impact on institutional quality in public procurement.

As to originality, the present paper uses a law and economics approach, originating or better said drawing motivation from green public procurement concerns, trying to provide an insight in terms of tools that can be used to eliminate concerns regarding institutional quality when implementing green public procurement practices.

The paper aims to characterize anomaly detection in hyperspectral imagery.

This paper develops an adaptive causal anomaly detector (ACAD) to investigate several issues encountered in hyperspectral image analysis which have not been addressed in the past. It also designs extensive synthetic image‐based computer simulations and real image experiments to substantiate the work proposed in this paper.

This paper developed an ACAD and custom‐designed computer simulations and real image experiments to successfully address several issues in characterizing anomalies for detection, which are – first, how large size for a target to be considered as an anomaly? Second, how an anomaly responds to its proximity? Third, how sensitive for an anomaly to noise? Finally, how different anomalies to be detected? Additionally, it also demonstrated that the proposed ACAD can be implemented in real time processing and implementation.

This paper is the first work on investigation of several issues related to anomaly detection in hyperspectral imagery via extensive synthetic image‐based computer simulations and real image experiments. In addition, it also develops a new developed an ACAD to address these issues and substantiate its performance.

The purpose of this paper is to examine the impact of changes in farm economic conditions and macroeconomic trends on US farm capital expenditures between 1996 and 2013.

A synthetic panel is constructed from Agricultural Resource Management Survey (ARMS) data. A dynamic system GMM regression model is estimated for farms as a whole and separately within farm typology categories. The use of farm typologies allows for comparison of the relative magnitudes of these estimates across farms by farm sales level and the operator’s primary occupation.

Changes in gross farm income levels, tax depreciation rates, and interest rates have a significant impact on crop farm investment, while changes in output prices, net cash farm income levels, tax depreciation rates, and farm specialization levels have significant impacts on livestock farm capital investment. The relative significance and magnitudes of these impacts differ within farm typologies. Significant differences include a greater responsiveness to change in tax policy variables for residential crop farms, greater responsiveness to changes in output prices and debt to asset ratios for intermediate livestock farms, and larger changes in commercial crop and livestock farm investment given equivalent changes in farm sales or the returns to investment.

These findings are of interest to agricultural economists when constructing farm investment models and employing pseudo panel methods, to those in the agricultural equipment and manufacturing sector when constructing models to manage inventories and plan for production needs across regions and over time, to those involved in drafting tax policy and evaluating the potential impacts of tax changes on agricultural investment, and for those in the agricultural lending sector when designing and executing agricultural capital lending programs.

This study uniquely identifies differences in the level of investment and the magnitude of investment responsiveness to changes in farm economic conditions and macroeconomic trends given differences in income levels and primary operator occupation. In addition, this study is one of the few which utilizes ARMS data to study farm capital investment. Utilizing ARMS data provides a rich panel data set, covering producers across many different crop production types and regions. Finally, employing pseudo panel construction methods contributes to efforts to effectively employ cross-sectional data and dynamic models to study farm behavior across time.

An economic impact study conducted in 2010 predicted that hosting the 34th America's Cup in 2013 would result in $1.37 billion in total economic benefits to the San Francisco Bay Area. The goal of this paper is to examine the ex post effects of this competition on real taxable sales in the Bay Area.

A panel data set of quarterly observations on taxable sales transactions for all counties in the state of California is employed. These data are explored using two estimation methodologies: difference-in-differences and synthetic control.

Results from a difference-in-differences analysis and a synthetic control analysis produce similar findings. Namely, the 34th America's Cup competition appears to have had a minimal, short-lived impact on San Francisco and no measurable impact on two nearby counties.

The empirical results in this paper underscore the findings of previous research showing that ex ante economic impact studies tend to overstate the net economic benefits of hosting mega-events.

The results of this paper may serve as a warning to policy makers considering using tax dollars to host a mega-event that such events often do not generate the economic gains reported in typical economic impact studies.

This is the first paper to econometrically explore the impact of hosting the America's Cup on taxable sales transactions in a region. This paper also employs the relatively new empirical methodology called synthetic control.