Reconsidering the welfare cost of inflation in the US: a nonparametric estimation of the nonlinear long-run money-demand equation using projection pursuit regressions

This paper, first, estimates the appropriate, log–log or semi-log, linear long-run money-demand relationship capturing the behavior US money demand over the period of 1980:Q1–2010:Q4, using the standard linear cointegration procedures found in the literature, and the corresponding nonparametric version of the same based on projection pursuit regression (PPR) methods. We then, compare the resulting welfare costs of inflation obtained from the linear and nonlinear money-demand cointegrating equations. We make the following observations: (i) the appropriate money-demand relationship for the period of 1980:Q1–2010:Q4 is captured by a semi-log function; (ii) based on the estimation of semi-log cointegrating equations, the welfare cost of inflation was found to at the most lie between 0.0131 % of GDP and 0.2186 % of GDP for inflation rates between 0 and 10 %, and; (iii) in comparison, the welfare cost of inflation obtained from the semi-log non-linear long-run money-demand function, derived using the PPR method, for 0–10 % of inflation ranges between 0.4930 and 1.9468 % of GDP. However, the standard errors associated with the welfare cost estimates obtained from PPR relative to the linear models tend to indicate that the nonlinear money demand provides more precise estimates of the welfare costs primarily for higher rates of inflation.     

Impact of coopetition in the alliance portfolio and coopetition experience on firm innovation

This paper examines two interrelated questions: to what extent does coopetition in a firm's alliance portfolio impact the firm's innovation performance? And to what extent does a firm's coopetition experience influence the relationship between coopetition in the alliance portfolio and innovation performance? Conceptually, we advance the concepts of balanced coopetition in a firm's alliance portfolio and coopetition experience and suggest that both balanced coopetition and coopetition experience contribute to firm's innovation outcomes. Results based on a longitudinal data of firms from the semiconductor industry show that moderate to high levels of balanced-strong coopetition in a firm's alliance portfolio positively impact the firm's coopetition-based innovation performance. Further, coopetition experience contributes to innovation performance and positively moderates the relationship between balanced-strong coopetition and innovation performance.     

Does real U.K. GDP have a unit root? Evidence from a multi-century perspective

ABSTRACT

We employ linear and nonlinear unit-root tests to examine the stationarity of five multi-century historical U.K. series of real output compiled by the Bank of England. Three series span 1270 to 2016 and two series span 1700 to 2016. These datasets represent the longest span of historical real output data available and, thus, provide the environment for which unit-root tests are most powerful. A key feature of our test is its simultaneous allowance for two types of nonlinearity: time-dependent (structural breaks) nonlinearity and state-dependent (asymmetric adjustment) nonlinearity. The key finding of the test, contrary to what other more popular nonlinear unit-root tests suggest, provides strong evidence that the main structure of the five series is a stationary process characterized by an asymmetric nonlinear adjustment and a permanent break affecting both the intercept and the trend. A major policy implication of this finding is fiscal and/or monetary stabilization policies have only temporary effects on the output levels of the United Kingdom.     

The past,present, and future of customer management

Marketing Letters - For decades, researchers in customer management have demonstrated the business importance of firm-customer relationships, developed models for understanding customer behavior...     

Persistence of economic uncertainty: a comprehensive analysis

One of the most heavily researched and cited issue in applied economics is the relationship of uncertainty indices with the financial and macroeconomic variables. While the statistical features of financial and macroeconomic variables have been thoroughly examined, virtually nothing has been done to examine uncertainty indices under the statistical perspective. In this paper, we focus on two primary characteristics of uncertainty indices: persistence and chaotic behaviour. In order to evaluate the persistence and the chaotic behaviour we analyse 72 popular uncertainty indices constructed by forecasting models, text mining from news articles and data mining from monetary variables to measure the Hurst and Lyapunov exponents in rolling windows. The examination in rolling windows provides a dynamic evaluation of the specific characteristics revealing significant variations of persistence and chaotic dynamics with time. More specifically, we find that almost all uncertainty indices are persistent, while the chaotic dynamics are detected only sporadically and for certain indices during recessions of economic turbulence. Thus, we suggest that the examination of persistence and chaos should be a prerequisite step before using uncertainty indices in economic policy models.     

Falling behind and catching up: India's transition from a colonial economy

India fell behind during colonial rule. The absolute and relative decline of Indian GDP per capita with respect to Britain began before colonization and coincided with the rise of the textile trade with Europe. However, the fortunes of the traditional textile industry cannot explain the decline in the eighteenth century and stagnation in the nineteenth century as India integrated into the global economy of the British Empire. Inadequate investment in agriculture and consequent decline in yield per acre stalled economic growth. Modern industries emerged and grew relatively fast. The reversal began after independence. Policies of industrialization and a green revolution in agriculture increased productivity in agriculture and industry. However, India's growth in the closing decades of the twentieth century has been led by services. A concentration of human capital in the service sector has origins in colonial policy. Expenditure on education prioritized higher education, creating an advantage for the service sector. At the same time, the slow expansion of primary education lowered the accumulation of human capital and put India at a disadvantage in comparison with the fast‐growing economies of East Asia.