On estimating long-run effects in models with lagged dependent variables

A common procedure in economics is to estimate long-run effects from models with lagged dependent variables. For example, macro panel studies frequently are concerned with estimating the long-run impacts of fiscal policy, international aid, or foreign investment.Our analysis points out the hazards of this practice. We use Monte Carlo experiments to demonstrate that estimating long-run impacts from dynamic models produces unreliable results.Biases can be substantial, sample ranges very wide, and hypothesis tests can be rendered useless in realistic data environments. There are three reasons for this poor performance. First, OLS estimates of the coefficient of a lagged dependent variable are downwardly biased in finite samples. Second, small biases in the estimate of the lagged, dependent variable coefficient are magnified in the calculation of long-run effects. And third, and perhaps most importantly, the statistical distribution associated with estimates of the LRP is complicated, heavy-tailed, and difficult to use for hypothesis testing. While many of the underlying problems have been long-known in the literature, the continued widespread use of the associated empirical procedures suggests that researchers are unaware of the extent and severity of the estimation problems. This study aims to illustrate their practical importance for applied research.     

Why do commercial banks hold government bonds? The case of Japan

We investigate the determinants of the demand for Japanese government bonds (JGBs) by commercial banks in Japan. In particular, by estimating portfolio equations for JGB demand and bank loans, based on a panel data set from the late 1990s to the 2000s, we rigorously test the popular assertion that the long stagnation of the real economy caused a shift in the portfolios of commercial banks from bank lending to JGBs. We find that the popular assertion is not empirically supported. Rather, the portfolio shift from loans to JGBs has been caused by a fall in the ratio of the loan rate to unit lending costs, or the bank’s price–cost margin for lending.     

地方人大中的地域代表现象探析——基于五省市人大代表建议的内容分析

本文试图探析在中国地方人大中是否存在地域性代表及其相关因素。通过收集和分析2017年国内五省市人大收到的近四千条代表建议,发现在地方人大代表的履职行为中,一定范围内存在从整体资源中为选区争取利益的现象。进一步回归分析的结果显示:来自经济发展水平相对较低的地区的代表,更倾向于提出地域性建议;由代表联名提出的建议更可能是地域性建议;担任地方党政领导职务的省市人大代表,在提出建议时更倾向于提出地域性建议。上述实证发现对中国地方人大地域性代表的实现机制提供了初步启发性证据,也有助于丰富我们对非竞选体制下的政治代表性和回应性机制的理解。     

Understanding the impacts of ‘Grain for Green’ land management practice on land greening dynamics over the Loess Plateau of China

Land greening in China is regarded as contributing a great deal to greening of the Earth. The phenomenon is mainly attributed to climate change, arising atmospheric CO₂ and ‘Grain for Green’ (GFG) land management policies. However, limited knowledge is known how much land greening is from contributions of the GFG practice. Therefore, the study took the typical region of the GFG practice, the Loess Plateau, as the study area, and used 1982–2015 satellite-observed GIMMS3g normalized difference vegetation index (NDVI) data, ERA-Interim climatic variables (precipitation, temperature and solar radiation) and atmospheric CO₂ concentration data with the help of a developed TPRC-based NDVI model to derive GFG-induced NDVI after 1999. Furthermore, this study tracked the spatial-temporal dynamics of GFG-induced NDVI and assessed contributions of the GFG practice to regional vegetation changes. Results showed that satellite-observed NDVI and TPRC-based NDVI both exhibited an increasing spatial pattern from the northwestern to southeastern Loess Plateau, but their greening trends were separately 0.0022 and 0.0009 per year in 1982–2015 (p < 0.05). Note that the satellite-observed greening trend was much steeper with a slope of 0.0056 per year after 2006 (p < 0.05). The subsequent analyses documented that GFG-induced land greening were largely responsible for the steep trend. In space, evident greening patterns began to be observed in the central Loess Plateau from 2006 to 2008, afterwards expanded towards eastern and southwestern Loess Plateau. In 2011–2015, the increase magnitude of GFG-induced land greening in the Loess Plateau averagely accounted for 8.5 % in comparison to estimated TPRC-based NDVI, but in six natural zones were various, ranging from 3.2%–15.7%. In some regions of central Loess Plateau, GFG-induced NDVI contributed even more than 20 % to vegetation increase. This study highlights that land use management contributes more to land greening dynamics over the Loess Plateau compared to climate change and arising atmospheric CO₂ concentration. These findings likely provide some valuable information for curbing or enhancing specific-location vegetation changes in future regional land management and planning.     

Japan's financial crises and lost decades

In this paper, we explore the role of financial intermediation malfunction in macroeconomic fluctuations in Japan. To this end we estimate, using Japanese data, a financial accelerator model in which the balance sheet conditions of entrepreneurs in a goods-producing sector and those of a financial intermediary affect macroeconomic activity. We find that shocks to the balance sheets of the two sectors have been quantitatively playing important role in macroeconomic fluctuations by affecting lending rates and aggregate investments. Their impacts are prominent in particular during financial crises. Shocks to the entrepreneurs’ balance sheets have played a key role in lowering investment in the bubble burst during the early 1990s and in the global financial crisis during the late 2000s. Shocks to the financial intermediaries’ balance sheets have persistently lowered investment throughout the 1990s.     

Corporate Name Change and the Market Valuation of Firms: Evidence from an Emerging Market

Investors’ responses to a firm’s name change and the determinants of their response are scantly explored areas in the field of behavioral finance. Based on a sample of 415 Indian firms from 2005 to 2014, this study suggests that investors respond positively to the announcement of firm name changes. Furthermore, the study indicates that when firms do not indicate geographical specificity in the name and have a specific rather than generic name, then the firm will experience greater abnormal returns. Also, when firm names are fluent and are associated with the owner’s family name, again, abnormal returns generated are positive. Nevertheless, as a firm ages and investors gain more information about it, then abnormal returns due to name change decrease.     

The Effect of Word-of-Mouth Communication on Stock Holdings and Trades: Empirical Evidence From an Emerging Market

The purpose of this study is to investigate the relationship between investors’ satisfaction and intention and word-of-mouth communication. This study contributes to the ongoing debate on the relationship between investor behavior and word-of-mouth communication. Many studies are related to investors’ participation and individual investors’ asset allocation decisions that are instigated by their social community via word-of-mouth communication whereas this study directly investigates the relationship between investment satisfaction and intention and word-of-mouth communication. We emphasize how many factors are considered when making satisfactory investment decisions. Our results confirm the strong relationship between the satisfaction and intention of investors and word-of-mouth communication. This finding may be useful to regulators, investors and managers who seek to establish effective rules for stock holdings and trade.     

Does IFRS Adoption Increase the Accuracy of Chinese Analysts’ Forecasts?

This article investigates the impact of International Financial Reporting Standards (IFRS) adoption on the accuracy of Chinese analysts’ earnings forecasts. We find that after IFRS adoption, the accuracy of Chinese analysts’ forecasts decreases rather than increasing as they do in developed countries documented by the extant literature. Further investigation finds that this decrease is associated with a fair value measurement of financial assets held for trading. Our finding provides empirical evidence supporting the argument that the effectiveness of IFRS adoption could be negative in a developing country depending on its setting and fair value measurement brought about by IFRS could contribute to the negative effect in this setting.