ANTITRUST AND PRIVACY CONCERNS are two of the most high-profile topics on the tech policy agenda. Checks and balances to counteract the power of companies such as Google, Amazon, and Facebook are under consideration in Congress, though a polarized political environment is a hindrance. But a domestic approach to tech policy will be insufficient, as the users of the large American tech companies are predominantly outside the United States.
As the glittering skyline in Shanghai seemingly attests, China has quickly transformed itself from a place of stark poverty into a modern, urban, technologically savvy economic powerhouse. But as Scott Rozelle and Natalie Hell show in Invisible China, the truth is much more complicated and might be a serious cause for concern.
We develop a model of financial crises with both a financial amplification mechanism, via frictional intermediation, and a role for sentiment, via time-varying beliefs about an illiquidity state. We confront the model with data on credit spreads, equity prices, credit, and output across the financial crisis cycle. In particular, we ask the model to match data on the frothy pre-crisis behavior of asset markets and credit, the sharp transition to a crisis where asset values fall, disintermediation occurs and output falls, and the post-crisis period characterized by a slow recovery in output.
Dutch-Caribbean plantations attracted substantial outside funding in the 1760s. This came to an abrupt end after the 1773 credit crisis. We use one banker’s detailed archives to analyze how bankers and investors were initially able to overcome asymmetric information problems, and why the system eventually broke down. Bankers oversaw plantations’ cash flows and placed debt with investors in the form of mortgage-backed securities. Strong growth led to lax screening and an oversupply of credit. After a fall in commodity prices, plantation debts were unsustainable.
Using millions of historical census records and modern birth certificates, we document that immigrants assimilated into US society at similar rates in the past and present. We measure cultural assimilation as immigrants giving their children less foreign names after spending more time in the United States, and show that immigrants erase about one-half of the naming gap with natives after 20 years both historically and today. Immigrants from poorer countries choose more foreign names upon first arrival in both periods but are among the fastest to shift toward native-sounding names.
The Program on Democracy and the Internet runs the work of the Kofi Annan Commission on Elections and Democracy in the Digital Age which will produce guidelines to support democracies, particularly those of the global south.
The economic costs of Indonesia’s 2015 forest fires are estimated to exceed US $16 billion, with more than 100,000 premature deaths. On several days the fires emitted more carbon dioxide than the entire United States economy. Here, we combine detailed geospatial data on fire and local climatic conditions with rich administrative data to assess the underlying causes of Indonesia’s forest fires at district and village scales. We find that El Niño events explain most of the year-on-year variation in fire.
As the global population and people’s incomes rise, the demand for ocean-derived food will continue to grow. At the same time, hunger and malnutrition continues to be a challenge in many countries, particularly in rural or developing areas. Looking to the ocean as a source of protein produced using low-carbon methodologies will be critical for food security, nutrition and economic stability, especially in coastal countries where hunger and malnutrition are a challenge.
Understanding the determinants of agricultural productivity requires accurate measurement of crop output and yield. In smallholder production systems across low- and middle-income countries, crop yields have traditionally been assessed based on farmer-reported production and land areas in household/farm surveys, occasionally by objective crop cuts for a sub-section of a farmer’s plot, and rarely using full-plot harvests. In parallel, satellite data continue to improve in terms of spatial, temporal, and spectral resolution needed to discern performance on smallholder plots.
Previous literature suggests subpar teaching is a primary reason why rural Chinese students lag behind academically. We initiate an investigation into the potential of educational technology (EdTech) to increase teaching quality in rural China. First, we discuss why conventional approaches of improving teaching in remote schools are infeasible in China’s context, referring to past research. We then explore the capacity of technology-assisted instruction to improve academic performance by examining previous empirical analyses. Third, we show that China is not limited by the resource constraints of other developing countries due to substantial policy support and a thriving EdTech industry. Finally, we identify potential implementation-related challenges based on the results of a preliminary qualitative survey of pilots of EdTech interventions. With this paper, we lay the foundation for a long-term research investigation into whether EdTech can narrow China’s education gap.
Empirical evidence from developed countries supports the idea that parent-teacher interaction is highand improves student outcomes. The evidence from developing countries is, however, decidedly mixed.Using longitudinal data from nearly 6000 students and their 600 teachers in rural China, we show theprevalence of parent-teacher interaction is generally much lower than that of developed countries. Wealso show parent-teacher interaction, when it exists, can have positive effects on raising academicachievement and reducing learning anxiety. We demonstrate that the prevalence and effectiveness ofparent-teacher interaction in a developing country context varies considerably due to both demand-sideand supply-side factors.
Studies suggest that students’ prior performance can shape subsequent teacher evaluations, but the magnitude of reputational effects and their implications for educational inequality remain unclear. Existing scholarship presents two major perspectives that exist in tension: do teachers primarily use reputational information as a temporary signal that is subsequently updated in response to actual student performance? Or do teachers primarily use reputational information as a filter that biases perception of subsequent evidence, thus crystallizing student reputations and keeping previously poor-performing students stuck in place? In a field experiment, we recruited a random sample of 832 junior high school teachers from the second-most populous province of China to grade a sequence of four essays written by the same student, and we randomly assign both the academic reputation of the student and the quality of the essays produced. We find that (1) reputational information influences how teachers grade, (2) teachers rely on negative information more heavily than positive information, and (3) negative reputations are crystallized by a single behavioral confirmation. These results suggest that students can escape their prior reputations, but to do so, they must contradict them immediately, with a single confirmation sufficient to crystallize a negative reputation.
There is a significant gap in academic achievement between rural and urban students in China. Policymakers have sought to close this gap by improving the quality of teaching in rural areas through teacher professional development (PD) programs. However, there is limited evidence on the effectiveness of such programs. In this paper, we evaluate the impact of a PD program-National Teacher Training Program (NTTP) and find that the NTTP has no effect on math achievement. We also find that while the program has a positive effect on math teaching knowledge of teachers, it has no significant effect on teaching practices in the classroom. Taken together, these results indicate that teachers may have improved their knowledge for teaching from NTTP, but did not apply what they learned to improve teaching practices or student learning.
Wheat is the most important staple crop grown in Australia, and Australia is one of the top wheat exporting countries globally. Timely and reliable wheat yield prediction in Australia is important for regional and global food security. Prior studies use either climate data, or satellite data, or a combination of these two to build empirical models to predict crop yield. However, though the performance of yield prediction using empirical methods is improved by combining the use of climate and satellite data, the contributions from different data sources are still not clear.
Although students in rural and migrant schools in China generally have not performed well, a share of each cohort has been able to thrive in school and to test into academic high school and college. To understand the origins of persistence, specifically, why some students learn more than do others, researchers have identified certain sources of the problem. Few studies, however, have paid attention to the role that low levels of cognitive development of students play in their academic performance.