Investment Spending in Australia: Further Study and Interpretation*

Recent work in macro theory suggests that aggregate 'demand' policies have direct supply-side effects in the short run, if Lucas's standard specification of the nonlinear adjustment costs for capital is generalized In this paper, we estimate an investment equation (involving Tobin's valuation ratio and Australian data) which nests three hypotheses: Lucas's standard specification of adjustment costs, a simple generalization which permits labour to be involved in the installation of capital and a model which allows for liquidity constraints. The results support the suggested alternative formulation of the q-theory     

Forward looking dynamics in spatial CGE modelling

This paper sets up a spatial dynamic CGE framework by combining the optimal growth model of saving and investment under adjustment costs and the spatial CGE model with Dixit–Stiglitz structure in the modern sector. Because of increasing product diversity on the dynamic equilibrium path, the model belongs to the category of semi-endogenous growth models. We overcome the difficulty of existing multiregional models to correctly approximate the infinite horizon equilibrium by employing a theoretically consistent terminal condition. The distinction of goods, factors, firms, and households by location, and the incorporation of trade costs in the model allow to study a variety of issues in regional and transport economics. We describe the model calibration and a tailor-made solution algorithm. The functionality is demonstrated using two illustrative examples.     

A Note on Aggregate Investment in Australia*

The purpose of this paper is to explore the relevance of Tobin's ‘q theory’ of investment in explaining aggregate investment in Australia, over the period from December 1966 to December 1986. Using standard capital stock data, the q theory performs poorly. However, the cost of adjustment model implies that the conventional capital stock data need to be revised to allow for these adjustment costs. Once this is done, it is found that the q theory explains a statistically significant (although small) proportion of the movements in aggregate investment The residual behaviour of investment is well explained by an accelerator model     

You can't have a CGE recession without excess capacity

Simulations with dynamic, single country, CGE models typically imply that reductions in domestic demand, e.g. a cut in investment, generate increases in exports and reductions in imports facilitated by real depreciation. However, currently in the U.S. a large reduction in investment is occurring simultaneously with a contraction in exports and little movement in the real exchange rate. We show that to describe this situation it is necessary to drop the standard CGE assumption that capital is always fully employed in every industry. After introducing an excess capacity specification, we simulate the U.S. recession with and without the Obama stimulus package.     

Firm investment in transition

In this paper a model based on the Euler equation of optimal capital accumulation in the presence of convex adjustment costs is developed and estimated. The theoretical model explicitly allows for differential financial status across firms. The empirical analysis uses Romanian manufacturing firm panel data to estimate dynamic investment models with the generalized method of moments (GMM‐IV) technique and tests the derived hypotheses. The results indicate that the model based on the perfect market assumptions is rejected. The version of the model that allows for differential financial status of firms by using a theoretically derived sample selection rule is not rejected by the data. Controlling for soft budget constraints, common for transition economies, further improves the performance of the model.     

现代宏观经济学中的投资理论及其最新发展

一、引言现代宏观经济学中投资理论的发展大致经历了三个阶段 :第一个阶段的理论被称之为新古典(ｎｅｏｃｌａｓｓｉｃａｌ)投资理论 ,是以Ｊｏｒｇｅｎｓｏｎ(1 96 3,1 96 9)为代表的经济学家们在 6 0年代发展起来的 ,严格地说 ,新古典投资理论描述的是稳定状态下的理想资本水平及其决定因素之间的关系 ,其中的主要变量是产出和资金的使用成本。第二阶段以ｑ 理论 (ｑ ｔｈｅｏｒｙ)的形成为标志。由于托宾 (Ｔｏｂｉｎ ,1 96 9)首先提出这个想法 ,所以又称 ｑ为Ｔｏｂｉｎ’ｓｑ .ｑ 理论的严谨模型是在 70年代后期和 80年代初建立起来的 …     

IT adoption costs and productivity:: A reply to Diego Comin

Diego Comin (2002, Review of Economic Dynamics 5 (2)), critiques my paper “Technology adoption costs and productivity growth: The transition to information technology” (2002, Review of Economic Dynamics 5 (2)), concluding that all of my major results are unfounded. I contend, to the contrary, that my results hold up against his criticism. My paper analyzes the effect of investment adjustment costs on subsequent productivity growth for manufacturing industries. I find that adjustment costs increased substantially during the late 70's and early 80's and that this increase is associated with increased investment in information technology. I also estimate the effect of these adjustment costs on BLS productivity growth estimates. This analysis uses two datasets, the NBER–CES Manufacturing Industry Database (Bartelsman and Gray, 1996. NBER Working Paper 205) and the BLS Manufacturing Productivity release of April 2001. For the former I calculate productivity growth using a standard Solow residual; for the latter, I use BLS productivity growth estimates. Comin's critique, however, uses a different measure entirely. He introduces a “corrected TFP” measure that I believe is flawed. Most of his critique uses this measure, rather than the standard productivity growth measures I use. As a consequence, most of his criticism is not actually about my paper, but is, instead, about a paper Comin might have written using his measure. And because this measure is flawed, so is this alternative. In addition, he raises criticism of my evidence of a link between information technology (IT) and adjustment costs and of my corrections to BLS productivity estimates. I present additional evidence to address these concerns and to examine the robustness of my results.     

间接税改革的宏观经济效应:一般均衡分析

建立一个研究中国整体经济的可计算一般均衡(CGE)模型.对我国现行税制间接税税率调整,间接税向直接税转化,间接税调整对储蓄、投资的影响等措施的宏观经济效应进行分析,提出一些可供选择的税收政策改革方案.在此基础上,指出了本CGE模型的局限与改进方向.     

Capital Malleability, Emission Leakage and the Cost of Partial Climate Policies: General Equilibrium Analysis of the European Union Emission Trading System

Computable general equilibrium (CGE) models are the premier analytical platform for assessing the economic impacts of climate change mitigation. But these models tend to treat physical capital as “malleable”, capable of reallocation among sectors over the time-period for which equilibrium is solved. Because the extent to which capital adjustment costs might dampen reallocation is not well understood, there is concern that CGE assessments understate the true costs of greenhouse gas (GHG) reduction policies. This paper uses a multi-region, multi-sector CGE model to investigate cap-and-trade schemes, such as the European Union Emission Trading System which cover a subset of the economy, elucidating the effects of capital malleability on GHG abatement, the potential for emission leakage from abating to non-abating sectors, and the impacts on welfare. To simplify the complex interactions being simulated within the CGE model, that analysis is complemented with an analytical model. A partial climate policy results in negative internal carbon leakage, with emissions declining not only in capped sectors but also in non-regulated ones. This result is stronger when capital is intersectorally mobile. Interestingly, in partial climate policy settings capital malleability can amplify or attenuate welfare losses depending on the attributes of the economy.     

DO INVESTMENT‐SPECIFIC TECHNOLOGICAL CHANGES MATTER FOR BUSINESS FLUCTUATIONS? EVIDENCE FROM JAPAN

The observed decline in the relative price of investment goods to consumption goods in Japan suggests the existence of investment‐specific technological (IST) changes. We examine whether IST changes are a major source of business fluctuations in Japan, by estimating a dynamic stochastic general equilibrium model using Bayesian methods. We show that IST changes are less important than neutral technological changes in explaining output fluctuations. We also demonstrate that investment fluctuations are mainly driven by shocks to investment adjustment costs. Such shocks represent variations of costs involved in changing investment spending, such as financial intermediation costs. We find that the estimated series of the investment adjustment cost shock correlates strongly with the diffusion index of firms' financial position in the Tankan (Short‐term Economic Survey of Enterprises in Japan). Therefore, we argue that the large decline in investment growth in the early 1990s was due to an increase in investment adjustment costs stemming from firms' financial constraints after the collapse of Japan's asset price bubble.     

Persistence, Asymmetries and Interrelation in Factor Demand

A neoclassical factor demand model for structures, equipment and labour is analyzed in this paper. It incorporates a variety of dynamic specifications, such as a multi-period time-to-build for structures, internal adjustment costs for each production factor, and external investment adjustment costs. First-order conditions of the model are estimated by the generalized method of moments using manufacturing industry data from the US, Canada, West Germany, the UK (all 1960.I–1988.IV), France (1970.I–1992.II) and the Netherlands (1971.I–1990.IV). The results endorse time-to-build for structures, persistence of technology shocks and interrelations in adjustment cost dynamics.     

Differing factor adjustment costs across industries: Evidence from Japan

This study uses industry data from Japan to examine the joint behavior of investment and hiring. We estimate factor adjustment costs in industries and focus on the industrial differences in such costs. Our analysis reveals that heavy industries, such as steel and transportation equipment, require relatively large adjustment costs. Furthermore, comparing our results with studies that estimate these adjustment costs using US data, we find that the ratio of labor adjustment costs to total adjustment costs is higher in Japan than in the US. Our findings could be very useful in considering the implications of economic policies on factor adjustments.     

Liberalizing NAFTA Rules of Origin: A Dynamic CGE Analysis

Most computable general-equilibrium (CGE) studies assessing the welfare impact of moving from a North American Free Trade Agreement (NAFTA) to a deeper form of integration, for example a customs union (CU), typically proxy the integration as the adoption of a common external tariff toward the rest of the world. However, a CU is also an arrangement that allows for the elimination of FTAs' preferential rules of origin (ROO), which is typically not captured in CGE studies. This paper addresses the issue using a multicountry, multisector dynamic CGE model. Although the removal of distortionary ROO is likely to lower the unit costs of production within North America, it may also deteriorate North American terms of trade with the rest of the world. Thus, the net effect of the removal of NAFTA ROO on welfare is ambiguous and is an empirical issue.     

Countercyclical markups and news-driven business cycles

The standard one-sector real business cycle model is unable to generate expectations-driven fluctuations. The addition of countercyclical markups and modest investment adjustment costs offers an easy fix to this conundrum. The simulated model replicates the regular features of U.S. aggregate fluctuations.     

Housing investment in the Netherlands

Employing Dutch market data over the period 1977:1–1994:4, estimates of two housing equations are obtained. The first equation is based on an underlying model in which profit-maximising building firms do not face adjustment costs when altering their output schedule. The second model distinguishes between short-run and long-run elasticities of supply, where firms face adjustment costs. Although the formulation of the equations can be regarded as representing the underlying long-term relationships, employing the Johansen procedure does not produce economically meaningful results. Using instrumental variables, the first model yields a supply elasticity of the order of 1.6 and the second model produces a short-run elasticity of 2.3 and a long-run elasticity of 6. Comparison of these estimates with those obtained by Topel and Rosen (Topel, R. and Rosen, S., 1988. Housing investment in the United States J. Pol. Econ. 96 (4), 718–740) in the US shows that investment seems to be more sensitive to price changes in the Netherlands than in the US.     

Location factors of FDI and the growing services economy1

Foreign direct investment (FDI) has increasingly shifted toward the service sector. This change in the industrial composition of FDI and the non‐tradable nature of services may have altered the importance of location factors for investment decisions. To capture potential changes in FDI determinants, a contrasting sectoral analysis is performed. Based on FDI stock data from eight new EU member states for the period 1998–2004, we implement a dynamic panel approach allowing the speed of adjustment to the equilibrium investment level to vary across sectors. Results support our assumption that investment into the service sector, which is characterized by low installation costs, adjusts much faster to its desired level than manufacturing FDI. Thus, government interventions to attract FDI are likely to boost the service sector immediately while having a slower impact on manufacturing FDI. Furthermore, as services are mostly non‐tradable, FDI into this sector is largely based on market‐seeking motives while FDI in the manufacturing sector is also driven by international price competitiveness measured by real unit labour costs.     

Short- and long-run heterogeneous investment dynamics

In this paper, we model the dynamics of business investment taking into account asset-specific characteristics potentially affecting the reactivity of aggregate and disaggregate capital accumulation over the business cycle. We estimate Information and Communication Technologies (ICTs) and traditional investment (non-ICT) determinants within a Vector Error Correction Model testing the assumptions of the flexible accelerator and neoclassical model as well as the role of financial constraints and uncertainty. We evaluate our model on Italian data over the period 1980–2012, and we check our results also with Spanish and UK data. Our findings support the assumption that capital is heterogeneous since short- and long-run determinants are significantly different across the assets. Traditional assets experience stock adjustment costs while ICT investment incurs flow adjustment cost. In the short run, liquidity is a key determinant of investment independently of the asset type. In the long run, uncertainty significantly affects ICT. Finally, the results of the counterfactual exercises support the idea that ICT is a key policy variable to foster economic growth.     

Dynamic productivity growth and its determinants in the Indonesian food and beverages industry

ABSTRACT

This research investigates dynamic productivity growth and its determinants in the Indonesian food and beverages industry decomposing dynamic productivity growth into the contributions of dynamic technical inefficiency change, dynamic technical change, and dynamic scale inefficiency change. The empirical application employs unbalanced panel data of 44 subsectors in the Indonesian food and beverages industry over 1990–2014. To estimate dynamic productivity growth, this research uses a Luenberger indicator accounting for the presence of adjustment costs. The results show that dynamic productivity growth exhibits a decreasing trend. Dynamic technical inefficiency change and dynamic scale inefficiency change contribute positively to dynamic productivity growth, while dynamic technical change contributes negatively. Dynamic productivity growth is affected by the change in industrial concentration, the growth rate of capital intensity, the growth rate of exports, the growth rate of foreign direct investment, and location.     

Dynamics of Macroeconomic Adjustment with Growth: Some Simulation Results *

This paper examines the impact of several macroeconomic policies, both demand and supply management policies, on economic activity within a small macroeconomic simulation model. The model is based on a standard analytical framework that underlies adjustment policies in developing economies (Des). The standard approach has been to use aggregate government expenditure as an instrument of fiscal policy to shock economic activity in a DE, with a negative dynamic response typically observed. In the context of such a small macroeconomic simulation model we decompose government expenditure into consumption and investment expenditure. Simulation exercises with and without model-consistent expectations throw up some contrasting results in the sense that fiscal policy can influence output positively through the effects of public sector investment on private investment in a DE such as India. [F43, E62]     

Estimating Labor Demand with Fixed Costs*

We consider a dynamic model in which firms decide whether or not to vary labor in the presence of fixed costs. By exploiting the first‐order condition for optimality, we derive a semireduced form in which firms' intertemporal employment is defined by a standard marginal productivity condition augmented by a forward‐looking term. We obtain a marginal productivity equilibrium relation that takes into account the future alternatives of adjustment or nonadjustment that firms face. We use the structural parameter from this condition to estimate the fixed cost within a discrete decision process. Fixed costs are about 15 months' labor cost.