This paper investigates how external auditor provision of significant nonaudit services and client pressure to use the work of internal audit influence external auditors' use of internal auditors' work. More specifically, we study how external audit evidence gathering choices are influenced by nonaudit fees and client pressure. Our research is motivated by an observation that the magnitude of nonaudit services provided to audit clients introduces the risk that client management may leverage its position with the external auditor and potentially affect the audit process. We address this issue by extending prior research and focusing on the importance of various explanatory variables, including nonaudit service revenues, client pressure, internal audit quality, and coordination, to the external auditor's decision to rely on the work of internal audit. We use data primarily obtained through surveys completed by internal and external auditors. The survey responses represent 74 separate audit engagements. Our findings reveal that when significant nonaudit services are not provided to a client, internal audit quality and the level of internal‐external auditor coordination positively affect auditors' internal audit reliance decisions. However, when the auditor provides significant nonaudit services to the client, internal audit quality and the extent of internal ‐ external auditor coordination do not significantly affect auditors' reliance decisions. Furthermore, when significant nonaudit services are provided, client pressure significantly increases the extent of internal audit reliance. Thus, external auditors appear to be more affected by client pressure and less concerned about internal audit quality and coordination when making internal audit reliance decisions at clients for whom significant nonaudit services are also provided.

We assess systemic risk in the U.S. banking system before and after the Panic of 1873, using a combination of linear programming and computational optimization to estimate the interbank network. We impose liquidity shocks resembling those of 1873, and find the network captures the distribution of interbank deposits a year later. The network predicts banks likely to panic in the crisis, and those banks see their balance sheets weaken in the year after the crisis more than others. The results shed light on the nature and regional pattern of withdrawals in a classic 19th-century U.S. financial crisis.

This paper uses decennial Census data to examine the residential integration of the foreign born in the United States between 1910 and 2000. Immigrant segregation declined in the first part of the century, but has been rising over the past few decades. Recent immigrants tend to hail from countries with greater cultural distinctions from U.S. natives, whether economic, racial, or linguistic. These factors explain much of the increase in segregation after 1970. Evidence also points to changes in urban form, particularly native-driven suburbanization and the decline of public transit as a transportation mode, as an explanation for the new immigrant segregation.

This paper examines whether managers can reduce the detrimental effects of information overload by spreading out, or temporally smoothing, disclosures. We begin by attempting to identify managerial smoothing. We find that when there are multiple disclosures for the same event date, managers spread the disclosures out over several days. Managers are also more likely to delay a disclosure when there has been a disclosure made within the three days before the event date. Finally, managers are more likely to engage in disclosure smoothing when disclosures are longer, the information environment is more robust, firm information is complex, uncertainty is high, and disclosure news is more positive. Our second set of analyses examines whether there are market benefits to disclosure smoothing. Using two different measures of disclosure smoothing, we find that smoothing is associated with increased liquidity, reduced stock price volatility and increased analyst forecast accuracy.

International Financial Reporting Standards (IFRS) allow managers flexibility in classifying interest paid, interest received, and dividends received within operating, investing, or financing activities within the statement of cash flows. In contrast, U.S. Generally Accepted Accounting Principles (GAAP) requires these items to be classified as operating cash flows (OCF). Studying IFRS-reporting firms in 13 European countries, we document firms’ cash-flow classification choices vary, with about 76, 60, and 57% of our sample classifying interest paid, interest received, and dividends received, respectively, in OCF. Reported OCF under IFRS tends to exceed what would be reported under U.S. GAAP. We find the main determinants of OCF-enhancing classification choices are capital market incentives and other firm characteristics, including greater likelihood of financial distress, higher leverage, and accessing equity markets more frequently. In analyzing the consequences of reporting flexibility, we find some evidence that the market’s assessment of the persistence of operating cash flows and accruals varies with the firm’s classification choices and the results of certain OCF prediction models are sensitive to classification choices.

Using 1979–2012 CPS data for the United States and 1975–2012 NES data for Great Britain, we study wage behavior in both countries, with particular attention to the Great Recession. Real wages are procyclical in both countries, but the procyclicality of real wages varies across recessions, and does so differently between the two countries, in ways that defy simple explanations. We devote particular attention to the hypothesis that downward nominal wage rigidity plays an important role in cyclical employment and unemployment fluctuations. We conclude that downward wage rigidity may be less binding and have lesser allocative consequences than is often supposed.

This paper presents an approximate analytical solution to the optimal consumption and portfolio choice problem of an infinitely lived investor with Epstein-Zin-Weil utility who faces a constant riskless interest rate and a time-varying equity premium. When the model is calibrated to U. S. stock market data, it implies that intertemporal hedging motives greatly increase, and may even double, the average demand for stocks by investors whose risk-aversion coefficients exceed one. The optimal portfolio policy also involves timing the stock market. Failure to time or to hedge can cause large welfare losses relative to the optimal policy.

Using theory, case studies, and cross-country evidence, we investigate the factors behind the concentration of a nation's urban population in a single city. High tariffs, high costs of internal trade, and low levels of international trade increase the degree of concentration. Even more clearly, politics (such as the degree of instability) determines urban primacy. Dictatorships have central cities that are, on average, 50 percent larger than their democratic counterparts. Using information about the timing of city growth, and a series of instruments, we conclude that the predominant causality is from political factors to urban concentration, not from concentration to political change.

In financial stability, it is essential to know the determinants of interest rates in interbank markets because they are important vehicles for liquidity allocation among banks and are relevant for monetary policy transmission. Recent research indicates that banks with excess liquidity exercise their market power by rationing liquidity during periods of financial stress. This confirms the value of knowing the banks connections and identifying liquidity spreaders in such markets to manage contagion risk, liquidity hoarding and to preserve financial stability. In addition to well studied bank features such as size, liquidity and credit risk, we study which network metrics relate to interest rates during different periods. Using transaction level data on unsecured and secured lending, we apply an approach that employs network theory, econometric models and machine learning to analyze the structural properties of the secured and unsecured interbank markets in Mexico. Our findings support the “too-interconnected-to-fail” hypothesis. In the secured interbank market, PageRank shows a relationship with interest rates, while metrics associated with the notion of influence and systemic risk (Katz and DebtRank) are relevant in the unsecured interbank market. In general, a bank with high centrality lends at higher rates and gets funding at lower rates.