PanelWhiz and the Australian Longitudinal Data Infrastructure in Economics

PanelWhiz is a graphical user interface that was written for the statistical software, Stata SE/MP Version 11 (Win/Mac/Linux) or later, which allows users to extract data from complicated multi‐level longitudinal datasets in an easy and efficient manner. Specifically, Australian datasets, such as Household, Income and Labour Dynamics in Australia Survey, Medicine in Australia: Balancing Employment and Life, Growing Up in Australia: The Longitudinal Study of Australian Children, Footprints in Time—The Longitudinal Study of Indigenous Children and Consumer Attitudes, Sentiments & Expectations in Australia, have already been integrated into the common platform of the PanelWhiz system.     

Economic Integration,Monopoly Power and Productivity Growth without Scale Effects

This paper considers how monopoly power affects the relationship between economic integration and economic growth that is not biased by a scale effect. In a two‐country model of trade, productivity growth is generated by firm‐level investment in process innovation, and the location of economic activity is determined by relative market size, trade costs and imperfect knowledge diffusion. Equilibrium features the partial concentration of manufacturing and the full concentration of innovation in the larger country. Increased economic integration raises the concentration of manufacturing in the larger country, and when monopoly power is strong, leads to decreased product variety, accelerated productivity growth and greater national welfare. With weak monopoly power, however, it raises product variety and dampens productivity growth, but may benefit or hurt welfare.     

ON‐THE‐JOB SEARCH,PRODUCTIVITY SHOCKS,AND THE INDIVIDUAL EARNINGS PROCESS*

Individual labor earnings observed in worker panel data have complex, highly persistent dynamics. We investigate the capacity of a structural job search model with on‐the‐job search, wage renegotiation by mutual consent, and i.i.d. productivity shocks to replicate salient properties of these dynamics, such as the covariance structure of earnings, the evolution of individual earnings mean, and variance with the duration of uninterrupted employment, or the distribution of year‐to‐year earnings changes. Structural estimation of our model on a 12‐year panel of highly educated British workers shows that our simple framework produces a dynamic earnings structure that is remarkably consistent with the data.     

Credit Chains and Mortgage Crises

Here I examine a production economy with a financial sector that contains multiple layers of credit. The latter constitute credit chains that include a simple mortgage market. The focus is on the nature and contagion properties of credit chains in an economy where the financial sector plays a real allocating role, and agents have a serious choice of whether to default on mortgages or not. Multiple equilibria with different rates of default are observed, due to the presence of strategic complementarities. A liquidity crunch is associated with higher rates of default that can trigger a financial crisis as well as constrain the purchase of production factors, leading to reductions in welfare, together with potentially serious effects on real economic activity with the potential of causing deep and widespread recessions.     

Multivariate choices and identification of social interactions

This paper considers the identification of social interaction effects in the context of multivariate choices. First, we generalize the theoretical social interaction model to allow individuals to make interdependent choices in different activities. Based on the theoretical model, we propose a simultaneous equation network model and discuss the identification of social interaction effects in the econometric model. We also provide an empirical example to show the empirical salience of this model. Using the Add Health data, we find that a student's academic performance is not only affected by academic performance of his peers but also affected by screen‐related activities of his peers.     

CORRUPTION AND MICROCREDIT INTEREST RATES: DOES REGULATION HELP?

Misunderstandings about the structure of microcredit interest rates continue to generate rich criticism of the industry's high interest rates. Research has focused attention on the cost structure of interest rates and, more recently, on macroeconomic and macro‐institutional factors. While the cost structure is probably the most important determinant of interest rates, other factors also matter. In addition to other important results that usually validate the empirical literature, this paper finds that microcredit interest rates respond positively to corruption. The analysis shows that there is asymmetry between the effects of corruption, depending on whether or not the MFIs are regulated. While corruption has a positive and significant impact on interest rates of unregulated MFIs, it has a negligible impact on interest rates of regulated MFIs.     

Should countries block foreign takeovers of R&D champions and promote greenfield entry?

Abstract In R&D intensive industries, governments promote greenfield foreign investments, while being sceptical towards foreign acquisitions of domestic high‐quality firms. We develop a theoretical model that shows that foreign acquisitions are conducive to high‐quality targets because of strategic effects on the sales price. However, foreign firms ‘cherry pick’ high‐quality targets to expand R&D rather than to downsize. Otherwise, rivals expand R&D, making the acquisition unprofitable. Thus, our model predicts that acquired affiliates invest more in R&D than greenfield affiliates. Using affiliate data, we find evidence that acquired affiliates have a higher level of sequential R&D intensity than greenfield affiliates.     

When a Door Closes,a Window Opens? Long‐Term Labor Market Effects of Involuntary Separations

This study estimates the earning losses of workers experiencing an involuntary job separation. We employ, for the first time in the earning losses literature, a Poisson pseudo‐maximum‐likelihood estimator with fixed effects that has several advantages with respect to conventional fixed effects models. The Poisson estimator allows considering the full set of involuntary separations, including those with zero labor market earnings because of unemployment. By including individuals with zero earnings and by using our new method, the loss in the year of separation becomes larger than in previous studies. The loss starts with roughly 30% and, although it quickly shrinks, it remains at around 15% in the following years. In addition, we find that compared to other reasons for separation, the earning loss pattern is unique for involuntary separations, because no other type of separation implies such permanent scarring. This latter finding makes us confident that the self‐reported involuntariness of a separation is a reliable source of information.     

Remittances,Dutch Disease,and Manufacturing Growth in Developing Economies

Remittances have grown tremendously in magnitude and economic importance in the past four decades, providing economies with additional disposable incomes and even serving as buffers against economic downturns. It is thus but fitting to ask how remittances have impacted on growth, particularly on manufacturing growth. This note presents a simple model linking remittances and manufacturing growth via a ‘Dutch Disease’ channel. Using Blundell and Bond's (1998) system general method of moments on a panel dataset of 56 developing economies from 1992 to 2016, we verify that remittances adversely affect manufacturing growth in economies that experience high real appreciation rates. This result is robust to alternate specifications, such as the inclusion of financial development indicators, the expansion of the sample to include high‐income economies, and the use of different sample periods.     

A Tutorial on Palm Distributions for Spatial Point Processes

This tutorial provides an introduction to Palm distributions for spatial point processes. Initially, in the context of finite point processes, we give an explicit definition of Palm distributions in terms of their density functions. Then we review Palm distributions in the general case. Finally, we discuss some examples of Palm distributions for specific models and some applications.