Measuring the effects of preservation on farm profits in a continuous treatment setting

Despite billions of dollars of public appropriations to state purchase of development rights (PDR) programmes, there has been limited evaluation of the effects of these investments on the economic performance of preserved farms. This article estimates dose-response functions to evaluate the effects of enrolment in New Jersey’s PDR programme on farm profitability. The generalized propensity score method in a continuous treatment setting is used to address selection bias arising from voluntary programme participation. Treatment effects are measured across treatment levels to determine whether farm profitability is affected differently across levels of programme participation. Our findings reveal that, relative to unpreserved farms, profit per acre tends to increase along lower treatment levels. The profit per acre of preserved farms in the 1–40% treatment range is, on average, $407 higher than that of unpreserved farms in the full sample. Positive profit differentials averaging between $317 and $472 per acre are also observed in the 1–20%, 1–40% and 1–60% treatment quintiles in the farming occupation sample. We do not observe statistically significant profitability differentials when treatment effects are averaged across all positive treatment values.     

Are remittances good for economic growth? The role of political institutions

Within a sample of 109 developing countries for the period 1975–2014 and controlling for country and time-fixed effects, this article presents evidence that workers’ remittances are more effective in promoting growth in developing countries with strong democratic institutions. The evidence is robust to alternative samples and different measures of democratic institutions.     

Intraday jumps and US macroeconomic news announcements

This paper applies recent non-parametric intraday jump detection procedures to investigate the presence and importance of intraday jumps in US futures markets. More importantly, the paper investigates the extent to which statistically significant intraday jumps are associated with US macroeconomic news announcements. Jumps are prevalent, large and contribute heavily to total daily price variation. Approximately one third of jumps correspond to US macroeconomic news announcements, with pure announcement effects causing large increases in the absolute sizes of jumps and the informational surprise of the announcement explaining large proportions of the jumps. The statistical and economic significance of news-related jumps is confirmed by results that show higher volatility persistence, predictability of lower frequency returns, larger effects on microstructure variables, jump clustering and co-jumps from these jumps versus non-news-related jumps, although there are some interesting variations across asset classes.     

Using a dual-frame design to improve phone surveys on political attitudes: developing a weighting strategy for limited external information in Hong Kong

Quality & Quantity - In recent years, rapid increases in mobile phone ownership and decreases in landline users have led to potential biases in landline phone survey estimations. Mobile-only...     

Productivity impact of drought tolerant maize varieties under rainfall stress in Malawi: A continuous treatment approach

Drought tolerant (DT) maize varieties have received massive support in sub‐Saharan Africa because of their potential to protect smallholder farmers against drought‐related maize yield losses. Using four waves of household farm panel data from six districts in Malawi, we examine the impact heterogeneity of this technology on maize productivity using a continuous treatment approach. We find strong evidence of positive correlation between maize yield and adoption of DT maize varieties. On average, an increase by one hectare in the area allocated to DT varieties increases maize yield by 547 Kg/ha representing a 44% increase from the average maize yield of 1,254 Kg/ha for our sample. Our findings give evidence that DT maize technology has potential to protect smallholder farmers against drought‐related production losses. Policies that promote increased allocation of maize area to DT maize hold potential to enhance food security. Smallholder farmers especially in drought‐prone areas should be encouraged to allocate at least one‐third of the maize plot to DT varieties while breeders continue with the efforts of breeding a DT variety that is not only drought tolerant but also adapted to all weather conditions. More importantly, the government should ensure provision of timely ex ante weather information to guide farmers on decision‐making with respect to maize varietal choices.     

Training and organisational performance: A meta‐analysis of temporal,institutional and organisational context moderators

Drawing on systems theory, we conducted a moderated meta‐analysis of the training and organisational performance relationship using 119 primary studies. We examined the moderating effects of quality versus quantity of training, time, institutional and organisational context factors in the relationship between training and organisational performance. Our findings reveal that training is positively and directly related to organisational performance with no statistically significant difference between measures of training quality and quantity. We found that the relationship was stronger over time and that country performance orientation and country labour cost moderate the training and organisational performance relationship. We found no evidence for the moderating effects of the three organisational context moderators we examined (i.e. industry sector, organisational size and technology intensity). Finally, our results reveal that training type (i.e. general or firm‐specific) does not moderate the training and organisational performance relationship.     

Machine learning methods in finance: Recent applications and prospects

We study how researchers can apply machine learning (ML) methods in finance. We first establish that the two major categories of ML (supervised and unsupervised learning) address fundamentally different problems than traditional econometric approaches. Then, we review the current state of research on ML in finance and identify three archetypes of applications: (i) the construction of superior and novel measures, (ii) the reduction of prediction error, and (iii) the extension of the standard econometric toolset. With this taxonomy, we give an outlook on potential future directions for both researchers and practitioners. Our results suggest many benefits of ML methods compared to traditional approaches and indicate that ML holds great potential for future research in finance.     

An annual index of Irish industrial production, 1800–1913

We assemble the Irish industrial data currently available for the years 1800–1921, the period during which the entire island was in a political union with Great Britain, and construct an annual index of Irish industrial output for 1800–1913. We also construct a new industrial price index. Irish industrial output grew by an average of 1.3 per cent per annum between 1800 and the outbreak of the First World War. Industrial growth was slightly slower than previously thought, especially during the two decades immediately preceding the Great Famine. While Ireland did not experience absolute deindustrialisation either before the Famine or afterwards, its industrial growth was disappointing when considered in a comparative perspective.