Phosphorylated MAP1b, alias MAP5 and MAP1x, is involved in axonal growth and neuronal mitosis.

Microtubule-associated protein 1b, also named MAP5 and MAP1x, is essential for neuronal differentiation. In kitten cerebellum, this protein is partially phosphorylated. During early postnatal development, a phosphorylated form was localized prominently in growing parallel fibres and in mitotic spindles of neuroblasts in the germinal layer, whereas a non-phosphorylated MAP1b form was found in dendrites, perikarya and axons. The MAP1x epitope showed the same immunohistochemical distribution, as seen for phosphorylated MAP1b, while its recognition on immunoblots was independent of phosphorylation. It is concluded that post-translational modifications and conformation of MAP1b influence the immunological detection of MAP1b, and are essential in the neuronal growth processes and mitosis. The antibody against the phosphorylated MAP1b may represent a good marker to identify dividing neurones.

The Role of Institutions in Cross-Section Income and Panel Data Growth Models: A Deeper Investigation on the Weakness and Proliferation of Instruments

This paper investigates the role of institutions in determining per capita income levels and growth. It contributes to the empirical literature by using different variables as proxies for institutions and by developing a deeper analysis of the issues arising from the use of weak and too many instruments in per capita income and growth regressions. The cross-section estimation suggests that institutions seem to matter, regardless if they are the only explanatory variable or are combined with geographical and integration variables, although most models suffer from the issue of weak instruments. The results from the growth models provides some interesting results: there is mixed evidence on the role of institutions and such evidence is more likely to be associated with law and order and investment profile; government spending is an important policy variable; collapsing the number of instruments results in fewer significant coefficients for institutions.

Finance and Balanced Growth

The Uzawa (1961) theorem applied to finance and growthsuggests that a long-run positive correlation between financial efficiency and depth is only present when variations in the extent of access to financial services are considered. Improvements in financial efficiency can lead to new capital augmenting technologies along the balanced path, but only improvements in financial efficiency directed towards labor can change the rate of growth in the long-run. These findings suggest ways to understand some of the more nuanced relationships between finance and growth observed in the data and point in a number of directions for future research.

Discretionary Policy in a Monetary Union with Sovereign Debt

This paper examines the interactions between multiple national fiscal policy- makers and a single monetary policy maker in response to shocks to government debt in some or all of the countries of a monetary union. We assume that national governments respond to excess debt in an optimal manner, but that they do not have access to a commitment technology. This implies that national fi scal policy gradually reduces debt: the lack of a commitment technology precludes a random walk in steady state debt, but the need to maintain national competitiveness avoids excessively rapid debt reduction. If the central bank can commit, it adjusts its policies only slightly in response to higher debt, allowing national fiscal policy to undertake most of the adjustment. However if it cannot commit, then optimal monetary policy involves using interest rates to rapidly reduce debt, with signifi cant welfare costs. We show that in these circumstances the central bank would do better to ignore national fiscal policies in formulating its policy.

Growth Rate Estimation in the presence of Unit Roots

This study addresses the issue of the presence of a unit root on the growth rate estimation by the least-squares approach. We argue that when the log of a variable contains a unit root, i.e., it is not stationary then the growth rate estimate from the log-linear trend model is not a valid representation of the actual growth of the series. In fact, under such a situation, we show that the growth of the series is the cumulative impact of a stochastic process. As such the growth estimate from such a model is just a spurious representation of the actual growth of the series, which we refer to as a “pseudo growth rate”. Hence such an estimate should be interpreted with caution. On the other hand, we highlight that the statistical representation of a series as containing a unit root is not easy to separate from an alternative description which represents the series as fundamentally deterministic (no unit root) but containing a structural break. In search of a way around this, our study presents a survey of both the theoretical and empirical literature on unit root tests that takes into account possible structural breaks. We show that when a series is trendstationary with breaks, it is possible to use the log-linear trend model to obtain well defined estimates of growth rates for sub-periods which are valid representations of the actual growth of the series. Finally, to highlight the above issues, we carry out an empirical application whereby we estimate meaningful growth rates of real wages per worker for 51 industries from the organised manufacturing sector in India for the period 1973-2003, which are not only unbiased but also asymptotically efficient. We use these growth rate estimates to highlight the evolving inter-industry wage structure in India.

Negative investment in China: financing constraints and restructuring versus growth

This paper attempts to address a puzzle in China’s investment pattern: despite high aggregate investment and remarkable economic growth, negative net investment is commonly found at the microeconomic level. Using a large firm-level dataset, we test three hypotheses to explain the existence and extent of negative investment in each ownership group: what we term the efficiency (or restructuring) hypothesis, the (lack of) financing hypothesis, and the (slow) growth hypothesis. Our panel data probit estimations shows that negative investment by state-owned firms can be explained mainly by inefficiency: owing to over-investment or mis-investment in the past, these firms have had to restructure and to get rid of obsolete capital in the face of increasing competition and hardening budgets. The financing explanation holds for private firms, which have had to divest in order to raise capital. However, rapid economic growth weighs against both effects in all types of firms, with a larger impact for firms in the private and foreign sectors. A tobit model, estimated to examine the determinants of the amount of negative investment, yields similar conclusions.

Notes on Agents’ Behavioral Rules Under Adaptive Learning and Studies of Monetary Policy

These notes try to clarify some discussions on the formulation of individual intertemporal behavior under adaptive learning in representative agent models. First, we discuss two suggested approaches and related issues in the context of a simple consumption-saving model. Second, we show that the analysis of learning in the NewKeynesian monetary policy model based on “Euler equations” provides a consistent and valid approach.

On Measuring the Efficiency of Monetary Policy

Cecchetti et al. (2006) develop a method for allocating macroeconomic performance changes among the structure of the economy, variability of supply shocks and monetary policy. We propose a dual approach of their method by borrowing well-known tools from production theory, namely the Farrell measure and the Malmquist index. Following FÄare et al (1994) we propose a decomposition of the efficiency of monetary policy. It is shown that the global efficiency changes can be rewritten as the product of the changes in macroeconomic performance, minimum quadratic loss, and efficiency frontier.

Realised and Optimal Monetary Policy Rules in an Estimated Markov-Switching DSGE Model of the United Kingdom

This paper investigates underlying changes in the UK economy over the past thirtyfive years using a small open economy DSGE model. Using Bayesian analysis, we find UK monetary policy, nominal price rigidity and exogenous shocks, are all subject to regime shifting. A model incorporating these changes is used to estimate the realised monetary policy and derive the optimal monetary policy for the UK. This allows us to assess the effectiveness of the realised policy in terms of stabilising economic fluctuations, and, in turn, provide an indication of whether there is room for monetary authorities to further improve their policies.

The Monetary policy rules in EU-15: before and after the euro

The objective of this paper is to identify empirically the logic behind short-term interest rates setting

Genetic- or transforming growth factor-beta 1-induced changes in epidermal peroxisome proliferator-activated receptor beta/delta expression dictate wound repair kinetics.

Advances in wound care are of great importance in clinical injury management. In this respect, the nuclear receptor peroxisome proliferator-activated receptor (PPAR)beta/delta occupies a unique position at the intersection of diverse inflammatory or anti-inflammatory signals that influence wound repair. This study shows how changes in PPARbeta/delta expression have a profound effect on wound healing. Using two different in vivo models based on topical application of recombinant transforming growth factor (TGF)-beta1 and ablation of the Smad3 gene, we show that prolonged expression and activity of PPARbeta/delta accelerate wound closure. The results reveal a dual role of TGF-beta1 as a chemoattractant of inflammatory cells and repressor of inflammation-induced PPARbeta/delta expression. Also, they provide insight into the so far reported paradoxical effects of the application of exogenous TGF-beta1 at wound sites.

Stability of Growth Models with Generalised Lag Structures

This paper considers the lag structures of dynamic models in economics, arguing that the standard approach is too simple to capture the complexity of actual lag structures arising, for example, from production and investment decisions. It is argued that recent (1990s) developments in the the theory of functional differential equations provide a means to analyse models with generalised lag structures. The stability and asymptotic stability of two growth models with generalised lag structures are analysed. The paper concludes with some speculative discussion of time-varying parameters.

Productivity shocks and aggregate fluctuations in an estimated endogenous growth model with human capital

Employing an endogenous growth model with human capital, this paper explores how productivity shocks in the goods and human capital producing sectors contribute to explaining aggregate fluctuations in output, consumption, investment and hours. Given the importance of accounting for both the dynamics and the trends in the data not captured by the theoretical growth model, we introduce a vector error correction model (VECM) of the measurement errors and estimate the model’s posterior density function using Bayesian methods. To contextualize our findings with those in the literature, we also assess whether the endogenous growth model or the standard real business cycle model better explains the observed variation in these aggregates. In addressing these issues we contribute to both the methods of analysis and the ongoing debate regarding the effects of innovations to productivity on macroeconomic activity.

Roles of aldehyde dehydrogenase (ALDH) isoforms and retinoic acids in the growth and differentiation potential of human adult cardiac progenitor cells

Aim: We have studied human adult cardiac progenitor cells (CPCs) based on high aldehyde dehydrogenase activity (ALDH-hi), a property shared by many stem cells across tissues and organs. However, the role of ALDH in stem cell function is poorly known. In humans, there are 19 ALDH isoforms with different biological activities. The isoforms responsible for the ALDH-hi phenotype of stem cells are not well known but they may include ALDH1A1 and ALDH1A3 isoforms, which function in all-trans retinoic acid (RA) cell signaling. ALDH activity has been shown to regulate hematopoietic stem cell function via RA. We aimed to analyze ALDH isoform expression and the role of RA in human CPC function. Methods: Human adult CPCs were isolated from atrial appendage samples from patients who underwent heart surgery for coronary artery or valve disease. Atrial samples were either cultured as primary explants or enzymatically digested and sorted for ALDH activity by FACS. ALDH isoforms were determined by qRT-PCR. Cells were cultured in the presence or absence of the specific ALDH inhibitor DEAB, with or without RA. Induction of cardiac-specific genes in cells cultured in differentiation medium was measured by qRT-PCR. Results: While ALDH-hi CPCs grew in culture and could be expanded, ALDH-low cells grew poorly. CPC isolated as primary explant outgrowths expressed high levels of ALDH1A3 but not of other isoforms. CPCs isolated from cardiospheres expressed relatively high levels of all the 11 isoforms tested. In contrast, expanded CPCs and cardiosphere-derived cells expressed low levels of all ALDH isoforms. DEAB inhibited CPC growth in a dose-dependent manner, whereas RA rescued CPC growth in the presence of DEAB. In differentiation medium, ALDH-hi CPCs expressed approximately 300-fold higher levels of cardiac troponin T compared with their ALDH-low counterparts. Conclusions: High ALDH activity identifies human adult cardiac cells with high growth and cardiomyogenic potential. ALDH1A3 and, possibly, ALDH1A1 isoforms account for high ALDH activity and RA-mediated regulation of CPC growth.

Competitive ability not kinship affects growth of Arabidopsis thaliana accessions.

In many organisms, individuals behave more altruistically towards relatives than towards unrelated individuals. Here, we conducted a study to determine if the performance of Arabidopsis thaliana is influenced by whether individuals are in competition with kin or non-kin. We selected seven pairs of genetically distinct accessions that originated from local populations throughout Europe. We measured the biomass of one focal plant surrounded by six kin or non-kin neighbours in in vitro growth experiments and counted the number of siliques produced per pot by one focal plant surrounded by four kin or non-kin neighbours. The biomass and number of siliques of a focal plant were not affected by the relatedness of the neighbour. Depending on the accession, a plant performed better or worse in a pure stand than when surrounded by non-kin plants. In addition, whole-genome microarray analyses revealed that there were no genes differentially expressed between kin and non-kin conditions. In conclusion, our study does not provide any evidence for a differential response to kin vs non-kin in A. thaliana. Rather, the outcome of the interaction between kin and non-kin seems to depend on the strength of the competitive abilities of the accessions.