Nonlinearity in dynamic adjustment: Semiparametric estimation of panel labor supply

We estimate a semiparametric dynamic panel data model by the local linear kernel method and we interpret the slope of the nonparametric component function as a varying slope coefficient. Thus, the slope coefficient is a smooth, but otherwise unknown, function of some of the regressors. A Monte Carlo experiment is reported to examine the finite sample performance of the local linear estimator. We apply the estimation method to a labor supply equation for men from the triannual Survey of Income and Program Participation (SIPP). Specification tests based on the estimated labor supply elasticities, partial adjustment coefficients, and residuals demonstrate the improvements from a semiparametric partially linear model. Our empirical results point to a need by economists to revisit the issue of the speed of labor market adjustment to policy induced shifts in labor demand and to take more formal econometric account of heterogeneity in wage effects when studying the distributional consequences of tax reforms for labor supply earnings. First version received: July 2000/Final version received: January 2001     

The St. Petersburg paradox and capital asset pricing

Durand (J Finance 12:348–363, 1957) shows that the classical St. Petersburg paradox can apply to the valuation of a firm whose dividends grow at a constant rate forever. To capture a more realistic pattern of dividends, we model the dividend growth rate as a mean reverting process, and then use the capital asset pricing model to derive the risk-adjusted present value. The model generates an equivalent St. Petersburg game. The long-run growth rate of the payoffs (dividends) is dominant in driving the value of the game (firm), and the condition under which the value is finite is less restrictive than that of the standard game.     

Spatial welfare economics versus ecological footprint: modeling agglomeration,externalities and trade

A welfare framework for the analysis of the spatial dimensions of sustainability is developed. It covers agglomeration effects, interregional trade, negative environmental externalities, and various land use categories. The model is used to compare rankings of spatial configurations according to evaluations based on social welfare and ecological footprint indicators. Five spatial configurations are considered for this purpose. The exercise is operationalized with the help of a two-region model of the economy, that is, in line with the ‘new economic geography.’ By generating a number of numerical ‘counter-examples,’ it is shown that the footprint method is inconsistent with an approach aimed at maximum social welfare. Unless environmental externalities are such a large problem that they overwhelm all other components of economic well-being, a ‘spatial welfare economic’ approach delivers totally different rankings of alternative land use configurations than the ecological footprint.      

Pricing access in network competition

We compare various access pricing rules in the two-way access model. We show that the Generalized Efficient Component Pricing Rule (TECPR) leads to a lower equilibrium price than does the Efficient Component Pricing Rule, (ECPR) marginal cost pricing, (MCP) and any non-negative fixed access charges.      

Bayesian–Walrasian equilibria: beyond the rational expectations equilibrium

In general rational expectations equilibrium (REE), as introduced in Radner (Econometrica 47:655–678, 1978) in an Arrow–Debreu–McKenzie setting with uncertainty, does not exist. Moreover, it fails to be fully Pareto optimal and incentive compatible and is also not implementable as a perfect Bayesian equilibrium of an extensive form game (Glycopantis et al. in Econ Theory 26:765–791, 2005). The lack of all the above properties is mainly due to the fact that the agents are supposed to predict the equilibrium market clearing price (as agent’s expected maximized utility is conditioned on the information that equilibrium prices reveal), which leads inevitably to the presumption that agents know all the primitives in the economy, i.e., random initial endowments, random utility functions and private information sets. To get around this problematic equilibrium notion, we introduce a new concept called Bayesian–Walrasian equilibrium (BWE) which has Bayesian features. In particular, agents try to predict the market-clearing prices using Bayesian updating and evaluate their consumption in terms of Bayesian price estimates, which are different for each individual. In this framework agents maximize expected utility conditioned on their own private information about the state of nature, subject to a Bayesian estimated budget constraint. Market clearing is not an intrinsic part of the definition of BWE. However, both in the case of perfect foresight and in the case of symmetric information BWE leads to a statewise market clearing; it then becomes an ex post Walrasian equilibrium allocation. This new BWE exists under standard assumptions, in contrast to the REE. In particular, we show that our new BWE exists in the well-known example in Kreps (J Econ Theory 14:32–43, 1977), where REE fails to exist. This work was done in the Spring of 2005, when EJB was a visiting professor at the University of Illinois.     

Capital asset pricing model in Portugal: Evidence from fractal regressions

We examine risk profiles of the Portuguese stock market index component stocks using a novel approach to the classical capital asset pricing model (CAPM). Specifically, we estimate the CAPM via fractal regressions that allow studying the marginal effects at selected scales. In this way, we can reveal whether the risk is perceived differently by market participants with different investment horizons. Apart from the analysis itself, we provide new statistical insights into the issue of separating and comparing the scale-specific effects with statistical validity. We find several stocks deviating from an expected risk perception homogeneity across investment horizons. This is true for both analysed periods, i.e. before and after the global financial crisis. There are also several stocks that changed their relationship to the market portfolio in between, which has strong implications for possible portfolio construction. The proposed methodology is not limited to financial topics but can be used in any discipline where the scale-specific marginal effects might be of interest.     

Economic reforms,efficiency and productivity in Chinese banking

This paper analyzes the impact of banking reforms on efficiency and total factor productivity (TFP) change in Chinese banking industry. Using an input distance function, we find that joint-equity banks are more efficient than wholly state-owned banks (WSOBs). Furthermore, both WSOBs and joint-equity banks are found to be operating slightly below their optimal size, suggesting potential advantages in expansion of their businesses. Overall, TFP growth was 4.4% per annum for the sample period 1993–2002. Joint-equity banks experienced much higher growth in TFP (5.5% per annum) compared to the WSOBs (1.4% per annum).      

Can intertemporal choice experiments elicit time preferences for consumption?

The paper considers what can be inferred about experimental subjects’ time preferences for consumption from responses to laboratory tasks involving tradeoffs between sums of money at different dates, if subjects can reschedule consumption spending relative to income in external capital markets. It distinguishes three approaches identifiable in the literature: the straightforward view; the separation view; and the censored data view. It shows that none of these is fully satisfactory and discusses the resulting implications for intertemporal decision-making experiments. JEL Classification C90, C91, D90, D91, D11, D12     

Why the structure of capital and the useful lives of its components matter: A test based on a model of Austrian descent

This paper centers on the structure of capital and the useful lives of its components by considering an economy with two representative firms, one producing a necessity and another producing a luxury. This difference determines their reinvestment opportunities. Therefore, while the one applies replacement, the other adopts scrapping. However, as these capital policies lead to different service lives, the analysis confronts the issues raised by Miller (Review of Income and Wealth 29:284–296, 1982, Review of Income and Wealth 36:67–82, 1990) and deals with them by drawing on Haavelmo’s (A study in the theory of investment, Chicago: The University of Chicago Press, 1960) suggestions regarding the aggregation of capital. Among other findings, it turns out that the simulation results are highly robust, thus demonstrating that real-world implications may be even stronger than strictly suggested by the model.

Customer query handling in sales interactions

Using a novel approach with video-recordings of sales interactions, this study focuses on a dynamic analysis of salesperson effectiveness in handling customer queries. We conceptualize salesperson behaviors, namely, resolving, relating, and emoting, as separate elements of customer query handling and empirically identify the distinct verbal and nonverbal cues that salespeople use to display these behaviors during sales interactions. We draw from compensation effects in social cognition theory to propose that customers’ perceptions of a salesperson’s effectiveness are prone to trade-offs between competence (resolving behaviors) and warmth (relating and emoting behaviors). Results, robust to endogeneity corrections, support the proposed tradeoffs such that the effectiveness of salesperson’s resolving behavior is significantly curtailed, even neutralized, by the salesperson’s relating and emoting behaviors. We situate these counterintuitive results within the extant theory and research on sales interactions, and outline implications for practice.