Priorities and Sequencing in Privatization: Theory and Evidence from the Czech Republic

While privatization of state-owned enterprises has been one of the most important aspects of economic transition from a centrally planned to a market system, no transition economy has privatized all its firms simultaneously. This raises the issue of whether governments strategically privatize firms. In this paper we examine theoretically and empirically determinants of the sequencing of privatization. First, we adapt and develop theoretical models in order to obtain testable predictions about factors that affect the sequencing of privatization. In doing so, we characterize government objectives as (i) increasing economic efficiency, (ii) maximizing sales revenue from privatization or public goodwill from transferring shares of firms to voters, and (iii) reducing political costs due to layoffs. Next, we use an enterprise-level data set from the Czech Republic to test the competing theoretical predictions about which firm characteristics affect the sequencing of privatization. We find strong evidence that more profitable firms were sold first. This outcome suggests that the government sequenced the sale of firms to maximize sale revenues and/or public goodwill from subsidized share transfers to citizens. In addition to enhancing the general understanding of privatization, our evidence suggests that many empirical studies of the effects of privatization on firm performance may suffer from selection bias since privatized firms are likely to have observable and unobservable characteristics that make them more profitable than the firms that are not privatized.

Ring oscillator clocks and margins

How much margin do we have to add to the delay lines of a bundled-data circuit? This paper is an attempt to give a methodical answer to this question, taking into account all sources of variability and the existing EDA machinery for timing analysis and sign-off. The paper is based on the study of the margins of a ring oscillator that substitutes a PLL as clock generator. A timing model is proposed that shows that a 12% margin for delay lines can be sufficient to cover variability in a 65nm technology. In a typical scenario, performance and energy improvements between 15% and 35% can be obtained by using a ring oscillator instead of a PLL. The paper concludes that a synchronous circuit with a ring oscillator clock shows similar benefits in performance and energy as those of bundled-data asynchronous circuits.Peer ReviewedPostprint (author's final draft

Polling bias and undecided voter allocations: US Presidential elections, 2004 - 2016

Accounting for undecided and uncertain voters is a challenging issue for predicting election results from public opinion polls. Undecided voters typify the uncertainty of swing voters in polls but are often ignored or allocated to each candidate in a simple, deterministic manner. Historically this may have been adequate because the undecided were comparatively small enough to assume that they do not affect the relative proportions of the decided voters. However, in the presence of high numbers of undecided voters, these static rules may in fact bias election predictions from election poll authors and meta-poll analysts. In this paper, we examine the effect of undecided voters in the 2016 US presidential election to the previous three presidential elections. We show there were a relatively high number of undecided voters over the campaign and on election day, and that the allocation of undecided voters in this election was not consistent with two-party proportional (or even) allocations. We find evidence that static allocation regimes are inadequate for election prediction models and that probabilistic allocations may be superior. We also estimate the bias attributable to polling agencies, often referred to as "house effects".Comment: 32 pages, 9 figures, 6 table

The Timing and Probability of FDI: An Application to the United States Multinational Enterprises

An "option-pricing" model is employed to analyse when a firm should expand its production capabilities abroad. In a framework where the firm's profits are determined by some average of the attractiveness of the home and foreign countries, and attractiveness in each country follows differentiated Brownian motions, this paper derives an optimal trigger value for FDI. The model shows that, contrary to the NPV rule, FDI entry should be optimally delayed the greater the uncertainty surrounding the future path of attractiveness in both locations. Another important result is that MNEs do not regard FDI as a risk diversification tool. The second part of the paper is devoted to empirically test the results of the model. Drawing on data of FDI from the US into a panel of developed and developing countries and using labour costs as a proxy for (the reciprocal of) attractiveness, our estimation confirms the results of the model, in particular that FDI entry events are negatively related to the uncertainty surrounding attractiveness.

The timing and the probability of FDI: an application to the US multinational enterprises

An 'option-pricing' model is employed to analyse when a firm should expand its production capabilities abroad. In a framework where the firm's profits are determined by some average of the attractiveness of the home and foreign countries, and attractiveness in each country follows differentiated Brownian motions, this paper derives an optimal trigger value for FDI. The model shows that, contrary to the NPV rule, FDI entry should be optimally delayed the greater the uncertainty surrounding the future path of attractiveness in both locations. The second part of the paper is devoted to empirically test the results of the model. Drawing on data of FDI from the US into a panel of developed and developing countries and using labour costs as a proxy for (the reciprocal of) attractiveness, our estimation overwhelmingly confirms the results of the model, namely that FDI entry events are negatively related to the uncertainty surrounding attractiveness.Foreign Direct Investment, Multinational Enterprises, Option-Pricing Model; Ordered Probit Model for Panel Data.

Fiscal contingency planning for banking crises

There is constant demand for an estimate of the likely fiscal costs of future banking crises, but little precision can be expected in such an estimate. The author shows how information that is typically available to authorities could be used to get a general sense of the order of magnitude of the direct fiscal liability. What is required for such an estimate? 1) Information about the size and composition of the bank's balance sheets. 2) Expert assessments of the accuracy of the accounting data and of specific short-term risks to which the components are known to be subject. The author's method distinguishes between losses that have already crystallized and the changing risks for the immediate future. By including contingency planning for banking collapse in their fiscal calculations, authorities may risk destabilizing expectations or worsening the moral hazard in the system. But the risks of contingency planning generally outweigh the risks of sending confused signals. Insisting on ignorance is a poor way to protect against announcement errors that trigger panic.Insurance&Risk Mitigation,Banks&Banking Reform,Financial Intermediation,Payment Systems&Infrastructure,Financial Crisis Management&Restructuring,Banks&Banking Reform,Financial Intermediation,Financial Crisis Management&Restructuring,Insurance&Risk Mitigation,National Governance