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The purpose of this paper is to describe, illustrate and provide a deeper understanding of team composition and labor allocation in audit teams by quantifying the exact value of resources at different levels of the audit production. Audit teams have been considered as a black box in audit research. Therefore, this paper reports descriptive statistics on (levels and proportions of) hours and costs allocated to auditor ranks (and the number and value, i.e. billing rates, of auditors for different ranks and the entire team) to shed new light on audit teams.

This study uses a proprietary data set containing disaggregated information on hours, costs and billing rates for each team member in each of 908 audit engagements. The data are provided by a Swedish Big 4 audit firm. The study uses a purely descriptive approach and categorizes auditors into seven ranks. As size and the publicly listed status are crucial determinants of audit production, the paper splits engagements in public and private companies and reports statistics for size quartiles of both public and private clients.

The paper provides descriptive statistics for (1) client size, (2) audit team members, (3) audit hours, (4) audit costs, (5) proportion of audit hours, (6) proportion of audit costs, (7) billing rates and (8) variation of billing rates. Results show that compared to private clients, the audit firm allocates higher effort from auditors in higher ranks and lower effort from auditors in lower ranks to public clients. Another finding is that allocation varies with client size for private clients, but less so for public clients.

In an area with sparse literature, this descriptive study serves as a first step to improve our understanding and guide future research. It provides concrete support for previously known theory.

Notes that, in the UK, there has been little empirical research undertaken to consider the effect of the commercial property tax (more commonly known as non‐domestic rates) on the level of openly negotiated market rents. Seeks, through the analysis of a large set of panel data obtained from the Investment Property Databank and the Valuation Office Agency, to develop econometric models which can measure the effect that an increase in non‐domestic rates has on commercial rents and ultimately the effective incidence of non‐domestic rates. Draws a number of conclusions, the most significant being that changes in rates bills prompt changes in commercial property rents in the opposite direction. Notes that this conclusion may, in the longer term, have an effect on the type and indeed the timing of government assistance to business occupiers through transitional relief schemes.

Small businesses file taxes in accordance with the personal income tax code because they are considered flow-through entities. Thus, personal income tax reforms directly affect the incentives small business owners face regarding employment and operations. The paper aims to discuss these issues.

The authors use the changes in personal income tax rates during the 1993 and 2001-2003 reforms and micro-level data to estimate the effect of statutory tax rate changes on small business employment decisions.

The authors add two contributions to the current literature: first, the author allow for intertemporal tax planning and second, the author allow the firm’s decision to employ labor to be correlated with the firm’s wage bill decision. Estimation of a Heckman selection model for wage bills shows that the probability that a business will employ labor is 1.18 percent higher when current tax rates increase by one percentage point and 0.70 percent lower when future rates are expected to increase by one percentage point. Among firms that already employ labor, the median wage bill elasticity with respect to current tax rates is −0.64. These estimates are larger than those reported in previous research because my model includes future taxes and allows for correlation between the firm’s employment and wage bill decisions. Omitting the intertemporal tax responses biases the estimates of previous researchers upwards, whereas assuming the two firm decisions are independent biases estimates towards zero.

This paper has been cited in publications published in Journal of Entrepreneurship and Public Policy.

The purpose of this paper is to empirically analyze the transmission mechanism between benchmark interest rate of financial market, money market interest rate and capital market yields in order to reveal the dynamic evolution characters and core influential structure between different market interest rates.

Using Dirichlet-VAR (DVAR) model, this study analyze the relationship between markets rates according to the equilibrium model in money market and capital market.

Empirical results show that the interest rate transmission mechanism functions smoothly between interest rates of different levels. Interest rate of bills issued by the central bank can effectively reflect changes in monetary policy and guide the fluidity of market, playing the anchor role in interest rate pricing. There exists a closed loop feedback between interest rate of bills issued by the central bank, and money market interest rate, as well as between money market interest rate and bond market interest rate. The former is a loop by administrative means while the latter is the one mainly affected by market-oriented means. The response by money market and bond market toward the change of benchmark interest rate is unsymmetrical as money market is more sensitive to a loose monetary policy while bond market is more sensitive to a tight monetary policy. Stock market is strongly affected by uncertainty of benchmark interest rate.

DVAR model is the extension of research on instable data and multiple variable causality test, which expands the causality analysis between two variables to multiple variables causality impact analysis which contains non-stable and structurally instable economic data.

We analyze the impact of monetary policy instruments on interbank lending rates and retail bank lending in China using an extended version of the model developed by Porter and Xu (2009). Unlike the central banks of advanced economies, the People’s Bank of China (PBoC) uses changes in the required reserve ratios and open market operations to influence liquidity in money markets and adjusts the regulated deposit and lending rates and loan targets to intervene in the retail deposit and lending market. These interventions prevent the interbank lending rate from signaling monetary policy stance and transmitting the effect of policy to the growth of bank loans. Since the global financial crisis, the PBoC’s monetary policy has gone through a full cycle. The combining effects of using different policy instruments simultaneously within a short period of time were quite effective in bringing the credit and money growth in line with its desired level. Most recently steps have been taken to speed up the interest rate liberalization. Effective July 2013, the PBoC removed the floors of the benchmark lending rates.

No issue concerning the Bank Rate could effectively be discussed without constant reference to the complex institutional framework within which it operates. How complex it is can be gauged by the fact that its detailed description in the Report of the Royal Commission on the Working of the Monetary System covers over three hundred closely printed pages. In this paper I will concentrate on the essentials and bring in the background only to the extent to which it is absolutely necessary for presenting the problems in proper perspective.

The British North American colonies were the first western economies to rely on legislature-issued paper monies as an important internal media of exchange. This system arose piecemeal. In the absence of banks and treasuries that exchanged paper monies at face value for specie monies on demand, colonial governments experimented with other ways to anchor their paper monies to real values in the economy. These mechanisms included tax-redemption, land-backed loans, sinking funds, interest-bearing notes, and legal tender laws. I assess and explain the structure and performance of these mechanisms. This was monetary experimentation on a grand scale.

The purpose of the study is to test how land owners respond to the appreciation of land values in the presence of speculation. This paper introduces the concept of “land hoarding,” which is land owners' response to higher land prices by selling more land up to a point beyond which accelerated land price appreciation would lead to land hoarding. Specifically, this paper examines the effect of land value appreciation higher than the opportunity cost of selling the land (measured by treasury‐bill (T‐bill) rate) on land sale and land hoarding.

A theoretical framework is developed to understand the demand for agricultural land retention with and without speculation, the former informing land hoarding behavior. A linear regression model was introduced and estimated using ordinary least square (OLS) method. A panel data model and analysis is also introduced, and following appropriate model selection tests, a fixed effect panel data estimation method is implemented. Data from 48 states, spanning from 1950 to 2004, are utilized.

An inverse relationship is found between the rate of land value appreciation and the demand for land by farmers, suggesting that the standard direct relationship between appreciation and land supplied to development holds. However, the additional finding of an inverse relationship between the rate of land value appreciation in excess of the risk‐free rate of return and agricultural land development confirms the existence of an identifiable speculative demand component that involves land hoarding.

To the extent to which the findings are broadly applicable, one policy implication is that enhanced land retention can be achieved through market mechanisms. For example, the notion that reduced T‐bill rates can actually result in market triggered land preservation is an interesting policy related finding. Equally interesting is the notion that policies that can trigger increases in the rate of appreciation of farmland may also potentially result in the agricultural hoarding of land. Obviously, enhanced profitability in agriculture due to programs targeting viability, commodity price support, reduction of regulation or market expansion programs can potentially affect land retention.

This paper introduces the “land hoarding hypothesis.” High rates of land appreciation can be expected to signal that holding the land may yield better returns than selling it, suggesting that if rates of land appreciation become significantly high enough, farmers may begin to hoard land, not sell it, to maximize long‐term returns. This concept can be valuable to market‐based agricultural land retention programs at the urban fringe. By linking speculative behavior, land demand and existence of a hoarding behavior under some conditions, this paper adds value and originality to the literature.

The central bank policy instruments have become less effective in an environment where economies are integrated with sophisticated financial products. We argue that economic stability is a function of interactions between financial and commodity markets. We utilize MGARCH models to identify volatility comovements between these markets in the United States since 2000. Our results suggest that financial markets have strong impacts on prices and volatility in commodity markets which could be due to intertemporal capital mobility. Thus, understanding commodity markets is inseparable from understanding financial market activities, and must now be included in an economic equation to achieve an effective policy.