Information and the Cost of Capital

We investigate the role of information in affecting a firm's cost of capital. We show that differences in the composition of information between public and private information affect the cost of capital, with investors demanding a higher return to hold stocks with greater private information. This higher return arises because informed investors are better able to shift their portfolio to incorporate new information, and uninformed investors are thus disadvantaged. In equilibrium, the quantity and quality of information affect asset prices. We show firms can influence their cost of capital by choosing features like accounting treatments, analyst coverage, and market microstructure.     

Causes and consequences of the lack of strategic foresight in the decisions of multinational enterprises to enter China

Strategic foresight, in the sense of ‘understanding the future’ [R.A. Slaughter. Futures studies as an intellectual and applied discipline. American Behavioral Scientist 42(3) (1998) 372-385; A.N. Whitehead. Modes of Thought. Free Press, New York, 1966], can play a significant role in the long term success, or failure, of business corporations. However, in understanding the development and management of strategic foresight within business enterprises, instances where lack of foresight was exhibited, can be equally instructive, especially when these business organizations are some of the world’s largest multinational corporations and they are faced with a situation they had met before: new market entry.By drawing on 42 in depth interviews, conducted by one of the authors with executives from Multinational Enterprises (MNEs) currently operating in China, this paper identifies the causes and consequences in the lack of foresight exhibited by many MNEs in their China-market entry strategies. In this way the foresight failure is distilled into two factors: Failure of understanding, and Failure of anticipation.     

Monetary policy in emerging markets: Can liability dollarization explain contractionary devaluations?

In emerging markets, external debt is denominated almost entirely in large, developed country currencies such as the U.S. dollar. This liability dollarization offers a channel through which exchange rate variation can lead to business cycle instability. When firms' assets are denominated in domestic currency and liabilities are denominated in foreign currency, an exchange rate depreciation worsens firms' balance sheets, which leads to higher capital costs and contractions in capital spending. To illustrate this, I construct a quantitative, sticky price, small open economy model in which a monetary policy induced devaluation leads to a persistent contraction in output. In this model, fixed exchange rates offer greater stability than an interest rule that targets inflation.     

Robustness of the estimates of the hybrid New Keynesian Phillips curve

Galí and Gertler [1999. Inflation dynamics: a structural econometric approach. Journal of Monetary Eonomics 44(2), 195-222] developed a hybrid variant of the New Keynesian Phillips curve that relates inflation to real marginal cost, expected future inflation and lagged inflation. GMM estimates of the model suggest that forward-looking behavior is dominant: the coefficient on expected future inflation substantially exceeds the coefficient on lagged inflation. While the latter differs significantly from zero, it is quantitatively modest. Several authors have suggested that our results are the product of specification bias or suspect estimation methods. Here we show that these claims are incorrect, and that our results are robust to a variety of estimation procedures, including GMM estimation of the closed form, and nonlinear instrumental variables. Also, as we discuss, many others have obtained very similar results to ours using a systems approach, including FIML techniques. Hence, the conclusions of GG and others regarding the importance of forward-looking behavior remain robust.     

Farms’ technical inefficiencies in the presence of government programs*

We focus on determining the impacts of government programs on farms’ technical inefficiency levels. We use Kumbhakar's stochastic frontier model that accounts for both production risks and risk preferences. Our theoretical framework shows that decoupled government transfers are likely to increase (decrease) DARA (IARA) farmers’ production inefficiencies if variable inputs are risk decreasing. However, the impacts of decoupled payments cannot be anticipated if variable inputs are risk increasing. We use farm‐level data collected in Kansas to illustrate the model.     

Experimental evidence on the relationship between class meeting time compression and accounting student performance, evaluations and drop-out experience

The present paper contains experimental results concerning the effect of class meeting time compression on accounting student performance (as measured by final course grades), evaluations (of the course, the instructor, accounting as a discipline, etc.), and drop-out experience. Two experimental sections (one for each of Introductory Accounting I and Introductory Accounting II) were created and matched with two conventional (control) sections taught by the same pair of instructors at a large, northeastern university. Results indicate that the experimental treatment had little impact on student performance. While the treatment had some impact on drop-out experience and on evaluations, the impact could be explained by an instructor effect. These results suggest that, at the Introductory Accounting level, and especially for better-rated instructors, courses can be offered on a compressed meeting basis without regard for negative effects on performance, attitudes, or drop-out behavior.     

A note on discount rate policy and the variability of discount window borrowing

The purpose of this note is to evaluate the appropriate discount rate policy rules consistent with minimization of the variability of borrowing at the Federal Reserve discount window. In the context of Goodfriend's (1983) model of the bank borrowing decision, it is demonstrated that either a penalty rate or a subsidy rate policy will produce minimized variability of borrowing, so long as the subsidy rate adjusts point for point to changes in the value of the Federal funds rate. These policy rules are compatible with a policy procedure designed to target borrowed or non-borrowed reserves. If the Fed does not adhere to one of these specific rules, minimization of borrowing variability requires an open market procedure in which the Fed pegs the Federal funds rate.     

Discrete-order admission ATP model with joint effect of margin and order size in a MTO environment

Swarming demands and seasonality periodically induce a stringent capacity problem in the made-to-order (MTO) B2B environment. Desirable order admission is a tactic with minimal application cost for handling this problem. A real-time order admission problem with limited major-customer population and batch-size demand with heterogeneous distributions is modeled as a dynamic and stochastic knapsack problem. The optimality of the Markovian deterministic reward-threshold policy is verified. Optimal policy, basic policy, and the capacity rationing method are compared in the designed experiment. The numerical results suggest great potential for increasing profit using the optimal order admission policy for MTO businesses.     

Estimating the Effect of Air Quality: Spatial versus Traditional Hedonic Price Models

Empirical studies of hedonic housing prices show that the spatial maximum likelihood estimation (MLE) method is preferable to the traditional ordinary least squares (OLS) hedonic method. Current computing capabilities restrict the MLE method to relatively small data sets. This paper circumvents this limitation by coupling the spatial MLE method with block bootstrapping, a form of Monte Carlo simulation that accounts for spatially dependent data. Blocks are created based on monthly and census tract information for resampling. For each month, we obtained 50 resamples of 750 observations from a data set of 15,727 residential properties to compare OLS and MLE empirical results. We find that the spatial MLE method consistently outperforms the traditional OLS method under these simulated conditions and that air quality matters irrespective of the method used.     

Trading away what kind of jobs? Globalization,trade and tasks in the US economy

Economists and other social scientists are calling for a reassessment of the impact of international trade on labor markets in developed and developing countries. Classical models of globalization and trade, based upon the international exchange of finished goods, fail to capture the fragmentation of much commodity production and the geographical separation of individual production tasks. This fragmentation, captured in the growing volume of intra-industry trade, prompts investigation of the effects of trade within, rather than between, sectors of the economy. In this paper we examine the relationship between international trade and the task structure of US employment. We link disaggregate US trade data from 1972 to 2006, the NBER manufacturing database, the Decennial Census, and occupational and task data from the Dictionary of Occupational Titles. Within-industry shifts in task characteristics are linked to import competition and technological change. Our results suggest that trade has played a major role in the growth in relative demand for nonroutine tasks, particularly those requiring high levels of interpersonal interaction.