The dynamics of leniency application and the knock-on effect of cartel enforcement. Bruegel Working Paper 2016/02, February 2016

The authors study the timing of leniency applications using a novel application of multi-spell discrete-time survival analysis for a sample of cartels prosecuted by the European Commission between 1996 and 2014. The start of a Commission investigation does not affect the rate by which conspirators apply for leniency in the market investigated, but increases the rate of application in separate markets in which a conspirator in the investigated market also engaged in collusion. The revision of the Commission’s leniency programme in 2002 increased the rate of pre-investigation applications. Our results shed light on enforcement efforts against cartels and other forms of

The Digital Market for Local Services: A one-night stand for workers? An example from the on-demand economy. CEPS Special Report, No. 133/April 2016

This case study provides a snapshot of the dynamics in the digital market for locally provided personal services. Based on a case study for a Belgium platform with 14,113 identified workers and 9,459 posted tasks, the findings suggest that the current intermediation is inefficient. Only a limited share of the tasks posted on the platform are being completed, whereas the characteristics of the not-completed tasks are fairly limited. Moreover, just a small share of the workers participating in the platform is actually performing the completed tasks. Their average earnings per hour are in most cases above the minimum wage and even above the median wage in the offline market. At the present time, however, the limited earnings for individual workers prevent this mode of working from becoming an alternative to a conventional job. In addition to the standard determinants of workers’ earnings (e.g. gender, age, occupation, etc.), the characteristics and evaluation mechanism of the platform have a large influence on the distribution of tasks and earnings.

A simulation analysis of the market effect of the Australian Broadcasting Corporation

In this paper we utilise a stochastic address model of broadcast oligopoly markets to analyse the Australian broadcast television market. In particular, we examine the effect of the presence of a single government market participant in this market. An examination of the dynamics of the simulations demonstrates that the presence of a government market participant can simultaneously generate positive outcomes for viewers as well as for other market suppliers. Further examination of simulation dynamics indicates that privatisation of the government market participant results in reduced viewer choice and diversity. We also demonstrate that additional private market participants would not result in significant benefits to viewers.

The political economy of industry dynamics in China:a microeconomic investigation

Using a unique firm level data, this paper analyses the role of political connections in the post-entry performance of private start-up companies in China. It documents robust evidence that political affiliation enhances firms’ survival and growth prospects. But interestingly politically neutral start-ups enjoy faster productivity improvements conditional on survival.. We conclude that the close association between the state and a segment of the business community is leading to sub-optimal resource allocation in the economy by interfering with the process of market selection.

Financial liberalization and dynamics of firm-level financing and investment decisions in the Southeast Asian countries

This thesis examines the dynamics of firm-level financing and investment decisions for six Southeast Asian countries. The study provides empirical evidence on the impacts of changes in the firm-level financing decisions during the period of financial liberalization by considering the debt and equity financing decisions of a set of non-financial firms. The empirical results show that firms in Indonesia, Pakistan, and South Korea have relatively faster speed of adjustment than other Southeast Asian countries to attain optimal debt and equity ratios in response to banking sector and stock market liberalization. In addition, contrary to widely held belief that firms adjust their financial ratios to industry levels, the results indicate that industry factors do not significantly impact on the speed of capital structure adjustments. This study also shows that non-linear estimation methods are more appropriate than linear estimation methods for capturing changes in capital structure. The empirical results also show that international stock market integration of these countries has significantly reduced the equity risk premium as well as the firm-level cost of equity capital. Thus stock market liberalization is associated with a decrease in the cost of equity capital of the firms. Developments in the securities markets infrastructure have also reduced the cost of equity capital. However, with increased integration there is the possibility of capital outflows from the emerging markets, which might reverse the pattern of decrease in cost of capital in these markets.

Dynamics in systematic liquidity

We develop a principal component approach to systematic liquidity measurement by introducing moving and expanding estimation windows. We evaluate these methods along with traditional estimation techniques (full sample PCA and market average) in terms of ability to explain (1) cross sectional stock liquidity and cross sectional stock returns. For several traditional liquidity measures our results suggest an expanding window specification for systematic liquidity estimation. The market average proxy of systematic liquidity produces the same degree of commonality, but does not have the same ability to explain stock returns as the PCA-estimates.

Agent-based simulation of lock-in dynamics in a duopoly

Lock-in is observed in real world markets of experience goods; experience goods are goods whose characteristics are difficult to determine in advance, but ascertained upon consumption. We create an agent-based simulation of consumers choosing between two experience goods available in a virtual market. We model consumers in a grid representing the spatial network of the consumers. Utilising simple assumptions, including identical distributions of product experience and consumers having a degree of follower tendency, we explore the dynamics of the model through simulations. We conduct simulations to create a lock-in before testing several hypotheses upon how to break an existing lock-in; these include the effect of advertising and free give-away. Our experiments show that the key to successfully breaking a lock-in required the creation of regions in a consumer population. Regions arise due to the degree of local conformity between agents within the regions, which spread throughout the population when a mildly superior competitor was available. These regions may be likened to a niche in a market, which gains in popularity to transition into the mainstream.

A fedezetlen bankközi forintpiac hálózati dinamikájának vizsgálata a likviditási válság előtt és után (Examination of the network dynamics of the uncovered interbank forint markel before the liquidity crisis and after)

A cikkben a magyar fedezetlen bankközi forintpiac hálózatának időbeli alakulását vizsgáljuk 2002 decemberétől 2009 márciusáig. Bemutatjuk a piac általános jellemzőit (forgalom, kamatláb, koncentráció stb.) és az alapvető hálózati mutatókat. Azt tapasztaljuk, hogy az időszak első felében ezek a jellemzők lényegében stabilak voltak. 2006-2007-től kezdve azonban a mutatók egy része kezdett jelentősen megváltozni: a hitelfelvevők koncentrációja nőtt, az átlagos közelség és az átlagos fokszám csökkent, továbbá a hálózat magjának mérete is csökkent. Ezek a jelek arra utalhatnak, hogy a bankok már a válság kitörése előtt érzékelték a növekvő hitelkockázatot, és egyre inkább megválogatták, hogy kinek adnak hitelt. Figyelemre méltó, hogy mindeközben az általános piaci mutatók (forgalom, kamatláb, illetve ezek volatilitása) semmiféle változásra utaló jelet nem tükröztek egészen 2008 októberéig, de ekkor hirtelen minden mutatóban egyértelművé vált a rezsimváltás. Végül részletesen elemezzük az egyes szereplők viselkedését, és megmutatjuk, hogy válságban az egyes szerepek drasztikusan megváltoztak (például forrásokból nyelők lettek, és fordítva). / === / The article examines the changes in the network of Hungary's uncovered interbank forint market over the period Decembcr 2000 to March 2009. It presents the general features of the market (volume, interest rates, concentration etc.) and its basic network. It is found that the features were largely stable in the first half of the period, but some of the indicators began to change significantly in 2006-7: the concentration of borrowers incrcased, average distance and average degree declined, as did the size of the core of the network. These signs pointed to the fact that the banks had sensed an increase in credit risk even before the crisis broke and were becoming increasingly choosy selective in their lending. Meanwhile, however. there aerc no indications of change in the general market indicators (volume, interest rates, or volatility of these) right up to October 2008, when the change of regime was clear in all indicators. Finally, the authors analyse in detail the behaviour of each participant and show that thc roles of some altered drastically with the crisis (e.g. sources became consumers and vice versa).

Az MTA KRTK KTI munkaerő-piaci előrejelző rendszere = The Institute of Economics labour-market forecasting system

Ebben a cikkben bemutatjuk az MTA KRTK KTI munkaerő-piaci előrejelző rendszerének nagy léptékű szerkezetét, a szerkezet kialakítása során követett főbb elveket. Ismertetjük a hazai gyakorlatban egyedülállóan összetett és széles körű adatrendszert, amelyen a becslést és az előrejelzést elvégeztük. Röviden kitérünk az ágazati GDP előrejelzésére, a modell keresleti és kínálati oldalának működésére, valamint a kereslet és kínálat közötti eltérések dinamikájának vizsgálatára. ______ The article presents the overall structure, and main principles followed in devising the structure, of the labour-market forecasting system developed by the Institute of Economics of the Research Centre for Economic and Regional Studies of the Hungarian Academy of Sciences (MTA KRTK KTI). The authors present the broad, comprehensive data system unprecedented in Hungarian practice, from which the estimate and forecast are made. The article diverges briefly onto the forecasting of branch GDP, the mode of operation of the supply and demand sides of the model, and examination of the dynamics of discrepancies between supply and demand.

Nemlineáris dinamika klasszikus növekedési modellekben (Nonlinear dynamics in classical economic growth models)

Ebben a tanulmányban a klasszikus Harrod növekedési modellt nemlineáris kiterjesztéssel, keynesi és schumpeteri tradíciók bevezetésével reprezentatív ügynök modellbe alakítjuk. A híres Lucas kritika igazolásaként megmutatjuk, hogy az intrinsic gazdasági növekedési ütemek trajektóriái vagy egy turbulens káoszba szóródnak szét, vagy egy nagyméretű rendhez vezetnek, ami elsődlegesen a megfelelő fogyasztási függvény típusától függ, s bizonyos paraméterek piaci értékei, pedig csak másodlagos szerepet játszanak. A másik meglepő eredmény empirikus, ami szerint külkereskedelmi többlet, a hazai valuta bizonyos devizapiaci értékei mellett, különös attraktorokat generálhat. _____ In this paper the classical Harrodian growth model is transformed into a representative agent model by its nonlinear extensions and the Keynesian and Schumpeterian traditions. For the proof of the celebrated Lucas critique it is shown that the trajectories of intrinsic economic growth rates either are scattered into a turbulent chaos or lead to a large scale order. It depends on the type of the appropriate consumption function, and the market values of some parameters are playing only secondary role.Another surprising result is empirical: the international trade su±cit may generate strange attractors under some exchange rate values.

The commercial bark harvest of the African cherry (Prunus africana) on Mount Oku, Cameroon: Effects on traditional uses and population dynamics

Bark extracts of the African cherry (Prunus africana) are used to treat benign prostatic hyperplasia. This study examined the effects of commercial bark harvest on population dynamics in the Kilum-Ijim Forest Preserve on Mount Oku, Cameroon and on traditional uses. P. africana is valued for its timber and as fuel although its greatest value is as a traditional medicine for human and animal ailments. Harvest has depleted the resource and has eroded traditional forest protection practices. I constructed matrix models to examine the effects of bark harvest on population structure and on population dynamics in harvested and unharvested populations. Harvesting simulations examined the effect on the population growth rate (λ) with differing levels of mortality of harvest-sized and large trees and differing harvest frequencies. Size class frequencies for the entire forest decreased in a reverse j-shaped curve, indicating adequate recruitment in the absence of harvest. Individual plots showed differences from the overall forest data, suggesting effects of natural and man-made perturbations, particularly due to bark harvest. One plot (harvested in the 1980s) showed a temporal difference in λ and fluctuated around one, due to alternating high and low fruiting years; other unharvested plots showed smaller temporal differences. Harvested plots (harvested illegally in 1997) had values of λ less than one and showed small temporal differences. The control plot also showed λ less than one, due to poor recruitment in the closed canopy forest. The value of λ for the combined data was 0.9931 suggesting a slightly declining population. The elasticity matrix for the combined data indicated the population growth rate was most sensitive to the survival of the large reproductive trees (42.5% of the elasticity). In perturbation analyses, reducing the survival of the large trees caused the largest reductions in λ. Simulations involving harvesting frequency indicated λ returns to pre-harvest conditions if trees are re-harvested after 10–15 years, but only if the large trees are left unharvested. Management scenarios suggest harvest can be sustainable if seedlings and small saplings are planted in the forest and actively managed, although large-scale plantations may be the only feasible option to meet market demand. ^

Three essays on market depth in futures markets

Liquidity is an important market characteristic for participants in every financial market. One of the three components of liquidity is market depth. Prior literature lacks a comprehensive analysis of depth in U.S. futures markets due to past limitations on the availability of data. However, recent innovations in data collection and dissemination provide new opportunities to investigate the depth dimension of liquidity. In this dissertation, the Chicago Mercantile Exchange (CME) Group proprietary database on depth is employed to study the dynamics of depth in the U.S. futures markets. This database allows for the analysis of depth along the entire limit order book rather than just at the first level. The first essay examines the characteristics of depth within the context of the five-deep limit order book. Results show that a large amount of depth is present in the book beyond the best level. Furthermore, the findings show that the characteristics of five-deep depth between day and night trading vary and that depth is unequal across levels within the limit order book. The second essay examines the link between the five-deep market depth and the bid-ask spread. The results suggest an inverse relation between the spread and the depth after adjusting for control factors. The third essay explores transitory volatility in relation to depth in the limit order book. Evidence supports the relation between an increase in volatility and a subsequent decrease in market depth. Overall, the results of this dissertation are consistent with limit order traders actively managing depth along the limit order book in electronic U.S. futures markets.