Some strange properties of panel data estimators

We study the biases that are likely to arise in practice with panel data when parameters vary across individuals, but this is not allowed for in estimation. We consider both stationary and non-stationary regressors. We find that biases can be severe for relatively small parameter variation, and that this problem is hard to detect. We study in some detail by Monte-Carlo the performance of the Anderson-Hsiao estimator in the presence of this particular mis-specification.     

Multivariate realised kernels: Consistent positive semi-definite estimators of the covariation of equity prices with noise and non-synchronous trading

We propose a multivariate realised kernel to estimate the ex-post covariation of log-prices. We show this new consistent estimator is guaranteed to be positive semi-definite and is robust to measurement error of certain types and can also handle non-synchronous trading. It is the first estimator which has these three properties which are all essential for empirical work in this area. We derive the large sample asymptotics of this estimator and assess its accuracy using a Monte Carlo study. We implement the estimator on some US equity data, comparing our results to previous work which has used returns measured over 5 or 10 min intervals. We show that the new estimator is substantially more precise.     

Comparing Public and Private Sector Employees’ Innovative Behaviour: Understanding the role of job and organizational characteristics,job types,and subsectors

Abstract

Innovation is argued to be of key importance in the public sector. Little is known about possible sector differences in innovative behaviour. The stereotype in literature is that public employees are less innovative. We analyse whether sector is associated with innovative behaviour and the influence of job/organizational characteristics. We test this by using a three-country representative survey in Scandinavia with 8,310 respondents. We control for subsectors/industries and job functions. We do not find that public employees are less innovative. Furthermore, the study emphasizes the importance of understanding the major differences in innovative behaviour between different subsectors/industries and job types.     

Optimal adaptation strategies to face shocks on groundwater resources

We consider an exogenous and reversible shock to a groundwater resource, namely a decrease in the recharge rate of the aquifer. We compare optimal extraction paths and the social costs of optimal adaptation in two cases: under certainty, i.e. when the date of occurrence of the shock is known, and under uncertainty, when the date of occurrence of the shock is a random variable. We show that an increase in uncertainty leads to a decrease in precautionary behavior in the short run and to an increase in precautionary behavior in the long run. We apply our model to the particular case of the Western la Mancha aquifer in Spain. We show that, in this context, it is advantageous for the water agency to acquire information on the date of the shock, especially for high-intensity and intermediate-risk events.     

Do supervisory inputs matter in a capital-intensive industry? Some evidence from a Japanese car transplant

We estimate a translog production function based on data from a Japanese automobile plant in the Midwest where output is determined by capital and different supervisory time inputs. We fit a model which allows for heteroskedastic errors, where this heteroskedasticity is a function of various variables affecting perceived target severity. We find that while, as expected, capital inputs are important, each supervisory time input is also significant in this capital-intensive industry. Linear homogeneity in these inputs is rejected. We find evidence of asymmetry in substitution among different components of supervisory time. This asymmetry has implications for the design and allocation of supervisory tasks. © 1997 John Wiley & Sons, Ltd.     

Utility of wealth with many indivisibilities

We introduce a class of utility of wealth functions, called knapsack utility functions, which are appropriate for agents who must choose an optimal collection of indivisible goods subject to a spending constraint. We investigate the concavity/convexity and regularity properties of these functions. We find that convexity–and thus a demand for gambling–is the norm, but that the incentive to gamble is more pronounced at low wealth levels. We consider an intertemporal version of the problem in which the agent faces a credit constraint. We find that the agent’s utility of wealth function closely resembles a knapsack utility function when the agent’s saving rate is low.     

Core and competitive equilibria: An approach from discrete convex analysis

We extend the assignment market (Shapley and Shubik, 1972; Kaneko, 1976, 1982) by utilizing discrete convex analysis. We consider the market in which buyers and sellers trade indivisible commodities for money. Each buyer demands at most one unit of commodity. Each seller produces multiple units of several types of commodities. We make the quasi-linearity assumption on the sellers, but not on the buyers. We assume that the cost function of each seller is M^♮-convex, which is a concept in discrete convex analysis. We prove that the core and the competitive equilibria exist and coincide in our market model.     

The antecedents of direct management communication to employees in Mauritius

We measure whether, in a developing country, existence of a ‘hard’ strategic human resource management (SHRM) strategy developed at high organizational levels or one designed to enhance employee knowledge inputs and thereby promote employer–employee interdependence (EEIN) is a stronger antecedent of direct communication to employees. We use data from a comprehensive survey of HR practices in Mauritius, one of Africa's most open and successful economies. We find that both SHRM and EEIN are antecedents, but that the latter is stronger in public organizations and in smaller and older companies. We conclude that EEIN is a significant analytic category for explaining management practices especially in a historic sense in this and possibly other developing country contexts.     

Picking a loser: Strategic surprise in a design and development game

We take a setting in which upstream players produce design ideas and downstream players select among these ideas to develop finished products. Design diversity is valuable at the upstream stage and coordination is valuable at the downstream stage. However, this outcome is not always realized. We show that an intermediary between upstream and downstream can improve on equilibrium outcomes by acting as a coordination and commitment device whose optimal policy must sometimes reward inferior ideas. We apply the model to technology standards, trend‐driven industries, political primaries, and the management of process innovation. We discuss incentives to vertically integrate.     

Has Management Studies Lost Its Way? Ideas for More Imaginative and Innovative Research

Despite the huge increase in the number of management articles published during the three last decades, there is a serious shortage of high‐impact research in management studies. We contend that a primary reason behind this paradoxical shortage is the near total dominance of incremental gap‐spotting research in management. This domination is even more paradoxical as it is well known that gap‐spotting rarely leads to influential theories. We identify three broad and interacting key drivers behind this double paradox: institutional conditions, professional norms, and researchers' identity constructions. We discuss how specific changes in these drivers can reduce the shortage of influential management theories. We also point to two methodologies that may encourage and facilitate more innovative and imaginative research and revisions of academic norms and identities.     

Pay for (individual) performance: Issues,claims, evidence and the role of sorting effects

We address two broad questions: how much pay for individual performance (PFIP) is there and what are the positive and negative effects of PFIP? We consider specific claims, including that PFIP does not motivate (or even de-motivates), that it is ineffective in teams, and that it is ineffective in some national cultures. We demonstrate how incorporating sorting effects of PFIP into conceptual treatments of PFIP can change how one views the likely effectiveness of PFIP across contexts.     

From admiration to abhorrence: the contentious appeal of entrepreneurship across Europe

Although entrepreneurship seems to offer a universal economic solution, there are some doubts about whether it is universally attractive. We argue that entrepreneurship is a socially constructed concept and consequently the meanings, and hence the appeal, of the enterprise will vary internationally. We argue that how entrepreneurship is understood affects how attractive it seems. Accordingly, we investigated the meanings of entrepreneurship by analysing a range of metaphors of entrepreneurship gathered from schools across Europe. We found that both the meaning and understandings of the practices vary considerably. For most, the concept of entrepreneurship as an engine of the economy is attractive, but for some, the practices of entrepreneurs were considerably less appealing. We find links between national socio-economic contexts and attractiveness. We argue that culture and context seem to influence the social constructions of entrepreneurship and hence the attractiveness of entrepreneurial options. We also find that the pedagogical national narratives of the entrepreneur stand in dynamic tension with the performative national processes of entrepreneurship.     

Urban search models under high-relocation costs. Theory and application to spatial mismatch

We develop a search-matching model in which mobility costs are so high that it is too costly for workers to relocate when a change in their employment status occurs. We show that, in equilibrium, wages increase with distance to jobs and commuting costs because firms need to compensate the transportation cost difference between the employed and unemployed workers at each location in the city. We also show that the equilibrium land rent is negatively affected by the unemployment benefit because an increase in the latter induce firms to create less jobs, which, in turn, reduces the competition in the land market. We then use this model to provide a mechanism for the observed spatial mismatch between where black workers live and where jobs are. We finally show that a transportation policy consisting in subsidizing the commuting costs of black workers can increase job creation and reduce unemployment if the level of the subsidy is set at a sufficiently high level.     

On the strictly descending multi-unit auction

We analyze the bidding behavior in a strictly descending multi-unit auction where the price decreases continuously without going back to the initial start price once an object is sold. We prove that any equilibrium in the multi-unit descending auction is inefficient. We derive a symmetric equilibrium for general distribution functions as well as an arbitrary number of bidders and objects. Moreover, equilibrium bidding is characterized by a set of initial value problems. Our analysis thus generalizes previous results in the literature.     

The Coverage Properties of Confidence Regions After Model Selection

It is very common in applied frequentist ("classical") statistics to carry out a preliminary statistical (i.e. data-based) model selection by, for example, using preliminary hypothesis tests or minimizing AIC. This is usually followed by the inference of interest, using the same data, based on the assumption that the selected model had been given to us  a priori . This assumption is false and it can lead to an inaccurate and misleading inference. We consider the important case that the inference of interest is a confidence region. We review the literature that shows that the resulting confidence regions typically have very poor coverage properties. We also briefly review the closely related literature that describes the coverage properties of prediction intervals after preliminary statistical model selection. A possible motivation for preliminary statistical model selection is a wish to utilize uncertain prior information in the inference of interest. We review the literature in which the aim is to utilize uncertain prior information directly in the construction of confidence regions, without requiring the intermediate step of a preliminary statistical model selection. We also point out this aim as a future direction for research.     

Probabilistic assignment problem with multi-unit demands: A generalization of the serial rule and its characterization

We study a probabilistic assignment problem when agents have multi-unit demands for objects. We first introduce two fairness requirements to accommodate different demands across agents. We show that each of these requirements is incompatible with stochastic dominance efficiency (henceforth, we use the prefix “sd” for stochastic dominance) and weak sd-strategy-proofness, unless all agents have unitary demands. We next introduce a new incentive requirement which we call limited invariance. We explore implications of these requirements in combination of consistency or converse consistency.Our main result is that the generalized serial rule, which we propose as an adaptation of the serial rule to our setting, is the only rule satisfying sd-efficiency, the sd proportional-division lower-bound, limited invariance, and consistency. Uniqueness persists if we replace the sd proportional-division lower-bound by sd normalized-no-envy, or consistency by converse consistency, or both. The serial rule in Bogomolnaia and Moulin (2001) is characterized as a special case of our generalized serial rule.     

Index

We study two Durbin-Watson type tests for serial correlation of errors inregression models when observations are missing. We derive them by applying standard methods used in time series and linear models to deal with missing observations. The first test may be viewed as a regular Durbin-Watson test in the context of an extended model. We discuss appropriate adjustments that allow one to use all available bounds tables. We show that the test is locally most powerful invariant against the same alternative error distribution as the Durbin-Watson test. The second test is based on a modified Durbin-Watson statistic suggested by King (1981a) and is locally most powerful invariant against a first-order autoregressive process.     

Are there common values in first-price auctions? A tail-index nonparametric test

We develop a consistent nonparametric test of common values in first-price auctions and apply it to British Columbia Timber Sales data. The test is based on the behavior of the CDF of bids near the reserve price. We show that the curvature of the CDF is drastically different under private values (PV) and common values (CV). We then show that the problem of discriminating between PV and CV is equivalent to estimating the lower tail index of the bid distribution. Our approach admits unobserved auction heterogeneity of an arbitrary form. We develop a Hill (1975)-type tail index estimator and find the presence of common values in BC Timber Sales.     

Termination and Coordination in Partnerships

It is common practice for firms to pool their expertise by forming partnerships such as joint ventures and strategic alliances. A central organization problem in such partnerships is that managers may behave noncooperatively in order to advance the interests of their parent firms. We ask whether contracts can be designed so that managers will maximize total profits. We characterize first best contracts for a variety of environments and show that efficiency imposes some restrictions on the ownership shares. In addition, we evaluate the performance of two termination contracts that are widely used in practice: the shotgun rule and price competition. We find that although these contracts do not achieve full efficiency, they both perform well. We provide insight into when each rule is more efficient.     

GMM redundancy results for general missing data problems

We consider questions of efficiency and redundancy in the GMM estimation problem in which we have two sets of moment conditions, where two sets of parameters enter into one set of moment conditions, while only one set of parameters enters into the other. We then apply these results to a selectivity problem in which the first set of moment conditions is for the model of interest, and the second set of moment conditions is for the selection process. We use these results to explain the counterintuitive result in the literature that, under an ignorability assumption that justifies GMM with weighted moment conditions, weighting using estimated probabilities of selection is better than weighting using the true probabilities. We also consider estimation under an exogeneity of selection assumption such that both the unweighted and the weighted moment conditions are valid, and we show that when weighting is not needed for consistency, it is also not useful for efficiency.