Access to credit and its determinants: A comparison of survey‐based measures

Measuring access to finance represents an important challenge in empirical studies. Due to data limitations, perception‐based indicators or the usage of finance are often used as approximations of access to finance. However, these approximations disregard firm‐specific differences in the demand for finance. We derive a direct measure of access to credit from firm‐level survey data and explicitly model credit demand. We study the determinants of access to credit and disentangle, in contrast to other measures, their effects on demand for and access to credit. We find that the usage of credit is not a sufficient approximation, while perception‐based indicators are surprisingly precise.     

Choosing between Time and State Dependence: Micro Evidence on Firms' Price‐Reviewing Strategies

Because of recent findings based on survey data, it is now well known that firms differ from each other with respect to their price‐reviewing strategies. While some firms review their prices at fixed intervals of time, others prefer to perform price revisions in response to changes in economic conditions. Some theories have been suggested to explain this. However, empirical evidence on the relative importance of the factors that determine the different strategies of firms is virtually non‐existent. In this paper, we help to fill this gap by investigating the factors that explain why firms follow time‐dependent, state‐dependent, or both time‐ and state‐dependent price‐reviewing rules. We find that the strategies of firms vary with firm characteristics that have a bearing on the importance of information costs, with the variability of the optimal price, and with the sensitivity of profits to non‐optimal prices.     

Computationally-feasible truthful auctions for convex bundles

In many economic settings, like spectrum and real-estate auctions, geometric figures on the plane are for sale. Each bidder bids for his desired figure, and the auctioneer has to choose a set of disjoint figures that maximizes the social welfare. In this work, we design mechanisms that are both incentive compatible and computationally feasible for these environments. Since the underlying algorithmic problem is computationally hard, these mechanisms cannot always achieve the optimal welfare; Nevertheless, they do guarantee a fraction of the optimal solution. We differentiate between two information models—when both the desired figures and their values are unknown to the auctioneer or when only the agents' values are private data. We guarantee different fractions of the optimal welfare for each information model and for different families of figures (e.g., arbitrary convex figures or axis-aligned rectangles). We suggest using a measure on the geometric diversity of the figures for expressing the quality of the approximations that our mechanisms provide.     

Should Forecasters Use Real‐Time Data to Evaluate Leading Indicator Models for GDP Prediction? German Evidence

In this paper, we investigate whether differences exist among forecasts using real‐time or latest‐available data to predict gross domestic product (GDP). We employ mixed‐frequency models and real‐time data to reassess the role of surveys and financial data relative to industrial production and orders in Germany. Although we find evidence that forecast characteristics based on real‐time and final data releases differ, we also observe minimal impacts on the relative forecasting performance of indicator models. However, when obtaining the optimal combination of soft and hard data, the use of final release data may understate the role of survey information.     

TARGETS IN THE TAYLOR RULE: INFLATION,SPEED LIMIT,OR PRICE LEVEL?

This paper explores the link between alternative targets in the Taylor rule and their empirical fit using real‐time U.S. macroeconomic data. We first study the stabilizing properties of the classical Taylor rule (inflation targeting, IT) and add either a price‐level target (PLT) or output gap quasigrowth target (speed‐limit targeting, SLT) in the context of the standard New Keynesian model. We demonstrate that, although only SLT has the same functional form as the optimal interest‐rate reaction function, both PLT and SLT stabilize the model macroeconomy against a cost‐push shock for a wide range of parameter values better than IT. We then estimate all three specifications using the Greenbook data. We find much stronger support for SLT than PLT and discuss pitfalls in estimating the latter that are present in existing literature. (JEL E52, E58)     

The optimality and overuse of labour in Estonian manufacturing enterprises*

Transition economies need labour market flexibility for successful restructuring and reallocation of the labour force, and for coping with the requirements of the European Monetary Union. In this paper we apply a novel approach to the issue of labour market flexibility in transition countries by studying the optimality and efficiency of labour usage in Estonian manufacturing enterprises. We employ a dynamic model in which both the long‐run optimal level of employment and the speed at which actual employment is adjusted to the optimal are modelled as functions of several variables. Firm‐level panel data of 1995–99 were used. The results showed that in the long run, employment responds most strongly to wages, followed by value added and capital stock. The speed of adjustment, labour use optimality and efficiency all show much greater variations over firms than over time. In the course of time, both labour‐saving technical change and an increase in the efficiency of labour usage occur. On average, there is shortage of labour compared to firms’ own optimal level, along with overuse of labour compared to best‐practice technology. Capital seems to be a binding constraint on the development of employment in the Estonian labour market.     

Optimal sequential contract with a risk‐averse supplier

We study optimal contracts in environments where a risk‐averse supplier discovers cost information privately and gradually over time: the supplier is privately informed about its cost uncertainty at the time of contracting and discovers the realization of cost condition privately after contracting and before production. We show that both the buyer and the supplier prefer more cost uncertainty when the supplier is not very risk‐averse but less cost uncertainty when the supplier is sufficiently risk‐averse. However, the buyer always prefers to contract before the cost uncertainty resolves regardless of the supplier's degree of risk aversion. The nature of the optimal contract also depends on the supplier's risk preference. A separating contract is optimal when the supplier is not very risk‐averse; however, a pooling contract, which offers the same contract terms regardless of the cost uncertainty, can be optimal when the supplier becomes sufficiently risk‐averse. Moreover, the optimal production schedule is often characterized by “inflexible rules.”     

TIMING OF LUMPY INVESTMENT,PRICING AND TECHNICAL PROGRESS

In equipment‐intensive sectors – such as water utilities, power generation, and gas – billions of dollars are spent in capital equipment. The nature of the investment is often lumpy: at some point a plant has to be replaced and a large investment is required. We characterize the dynamic optimal investment policy of profit‐maximizing and welfare‐maximizing firms. We first show that, when there is no technical progress, the duration of the plant is longer for a profit‐maximizing firm. We then consider technical progress leading to either capacity expansion or to operating costs reduction. We show that duration tends to increase when the installed capacity increases over time, while it tends to decrease when technical progress reduces operating costs, both for profit‐maximizing and welfare‐maximizing firms. Under some conditions, when capacity expands over time the duration of the plant is longer for a profit‐maximizing firm than for a welfare‐maximizing firm.     

A proposal for social pricing of water supply in Côte d'Ivoire

We consider the design of a nonlinear social tariff for residential water in Côte d'Ivoire, which is a case of a monopolistic private operator supplying a population of heterogeneous consumers. The proposed optimal tariff includes an initial “social” block with a low unit price, and higher consumption blocks with a monopoly pricing rule. This optimal nonlinear tariff is calibrated using econometric estimates of a panel-data residential water demand equation. Welfare changes associated with moving from the actual tariff to approximations of the optimal pricing system are computed under different tariff scenarios. We find that gains in consumer welfare would outweigh losses in producer surplus in a majority of Ivorian local communities.     

ANTICIPATED UTILITY AND RATIONAL EXPECTATIONS AS APPROXIMATIONS OF BAYESIAN DECISION MAKING*

We study a Markov decision problem with unknown transition probabilities. We compute the exact Bayesian decision rule and compare it with two approximations. The first is an infinite‐history, rational‐expectations approximation that assumes that the decision maker knows the transition probabilities. The second is a version of Kreps' anticipated‐utility model in which decision makers update using Bayes' law but optimize in a way that is myopic with respect to their updating of probabilities. For several consumption‐smoothing examples, the anticipated‐utility approximation outperforms the rational expectations approximation. The rational expectations approximation misrepresents the market price of risk.     

INTERTEMPORAL COMPLEMENTARITY AND OPTIMALITY: A STUDY OF A TWO‐DIMENSIONAL DYNAMICAL SYSTEM*

We study the underlying structure of the two‐dimensional dynamical system generated by a class of dynamic optimization models that allow for intertemporal complementarity between adjacent periods, but preserve the time‐additively separable framework of Ramsey models. Specifically, we identify conditions under which the results of the traditional Ramsey‐type theory are preserved even when the intertemporal independence assumption is relaxed. Local analysis of this theme has been presented by Samuelson (Western Economic Journal 9 (1971), 21–26). We establish global convergence results and relate them to the local analysis, by using the mathematical theory of two‐dimensional dynamical systems. We also relate the local stability property of the stationary optimal stock to the differentiability of the optimal policy function near the stationary optimal stock, by using the Stable Manifold Theorem.     

Government debt and optimal monetary and fiscal policy

How do different levels of government debt affect the optimal conduct of monetary and fiscal policies? And what do these optimal policies imply for the evolution of government debt over time? To provide an answer, this paper studies a standard monetary policy model with nominal rigidities and monopolistic competition and adds to it a fiscal authority that issues nominal non-state contingent debt, levies distortionary labor income taxes and determines the level of public goods provision. Higher government debt levels make it optimal to reduce public spending, so as to dampen the adverse incentive effects of distortionary taxes, but also strongly influence the optimal stabilization response following technology shocks. In particular, higher debt levels give rise to larger risks to the fiscal budget and to tax rates. This makes it optimal to reduce government debt over time. The optimal speed of debt reduction is missed when using first-order approximations to optimal policies, but is shown to be quantitatively significant in a second-order approximation, especially when technology movements are largely unpredictable in nature.     

Price Stability in Open Economies

This paper studies the theoretical conditions under which price stability is the optimal policy in a two-country open-economy model with imperfect competition and price stickiness. Special conditions on the levels of country-specific distortionary taxation and the intratemporal and intertemporal elasticities of substitution need to be satisfied. These restrictions apply to both cooperative and non-cooperative settings. Importantly, we show that cooperative and non-cooperative solutions do not coincide despite market completeness and producer currency pricing. We study the conditions under which quadratic approximations of single countries' welfare can be correctly evaluated by relying only on log-linear approximations of the equilibrium conditions.     

Royalties,entry, and spectrum allocation to the broadcasting industry

We characterize the socially optimal trajectory of spectrum royalty and firm entry in a deregulated over‐the‐air broadcasting industry. A social planner maximizes consumers' lifetime utility by setting royalties for the use of publicly owned spectrum. As the number of broadcasters adjusts to profits over time, the quality of service improves through greater variety but also deteriorates through intensified interferences. Contrary to observed consolidation and return to concentration in past deregulatory reforms, we find that optimal royalty control that accounts for these quality effects steers the socially optimal trajectory of royalties and firms to a more competitive steady state.     

Redistributive innovation policy,inequality, and efficiency

We examine the efficiency and distributional effects of regressive and progressive public R&D policies that target high‐tech and low‐tech sectors using a heterogenous‐agent growth model with in‐house R&D and incomplete capital markets. We find that such policies have important implications for efficiency and inequality. A regressive public R&D investment financed by income tax could boost growth and welfare via a positive effect on individual savings and effort. It could, however, also lower growth and welfare via its effect on the efficiency–inequality trade‐off. Thus, the relationship between public R&D spending and welfare is hump‐shaped, admitting an optimal degree of regressivity in public R&D spending. Using our baseline model, and the US state‐level GDP data, we derive the degree of regressiveness of public R&D investment in US states. We find that US states are more regressive in their R&D investment than the optimal regressiveness implied by our growth model.     

Work Requirements and Long-Term Poverty

We study how work requirements can be used to target transfers to the long‐term poor. Without commitment, time consistency requires all screening measures to be concentrated in the first phase of the program. We show that this increases the effectiveness of workfare; it is optimal to use work requirements for a wider range of prior beliefs about the size of the poor population, and work requirements are used more intensively. We compare these results with the optimal policy under commitment.     

Computation of non-linear continuous optimal growth models: experiments with optimal control algorithms and computer programs

In this paper we discuss the use of optimal control methods for computing non-linear continuous optimal growth models. We have discussed various recently developed algorithms for computing optimal control, involving step-function approximations, Runge–Kutta solutions of differential equations, and we suggest that the discretization approach is preferable to methods which solve first-order optimality conditions. We have surveyed some powerful computer programs by : , and for computing such models numerically. These programs have no substantial optimal growth modelling applications yet, although they have numerous engineering and scientific applications. A computer program named by is developed in this study. Results are reported for computing the Kendrick–Taylor optimal growth model using and programs based on the discretization approach. References are made to the computational experiments with and . The results are used to compare and evaluate mathematical and economic properties, and computing criteria. While several computer packages are available for optimal control problems, they are not always suitable for particular classes of control problems, including some economic growth models. The -based and , however, offer good opportunities for computing continuous optimal growth models. It is argued in this paper, that optimal growth modellers may find that these recently developed algorithms and computer programs are relatively preferable for a large variety of optimal growth modelling studies.     

DETECTING AND ANALYZING THE EFFECTS OF TIME-VARYING PARAMETERS IN DSGE MODELS

We study how structural parameter variations affect the decision rules and economic inference. We provide diagnostics to detect parameter variations and to ascertain whether they are exogenous or endogenous. A constant parameter model poorly approximates a time-varying data generating process (DGP), except in a handful of relevant cases. Linear approximations do not produce time-varying decision rules; higher-order approximations can do this only if parameter disturbances are treated as decision rule coefficients. Structural responses are time invariant regardless of order of approximation. Adding endogenous variations to the parameter controlling leverage in Gertler and Karadi's model substantially improves the fit of the model.     

Patent Licensing in the Presence of Trade Barriers

We develop a two‐country duopoly model to explore the optimal licensing contract for an outsider licensor in terms of fixed‐fee and royalty licensing by taking into account trade barriers when firms produce a homogeneous product and engage in Bertrand competition in each market. The present paper focuses on the interaction between licensing and trade barriers in two international markets. We show that both royalty and non‐exclusive fixed‐fee licensing can be optimal. Furthermore, exclusive fixed‐fee licensing can be optimal, which is a result that is not discussed in the existing literature.