Search Results
Showing results 1 to 10 of approximately 16.
(refine search)
Working Paper
R&D Subsidy and Import Substitution: Growing in the Shadow of Protection
I study the effect of an innovation subsidy on the growth of firms in a developing country. Using administrative microdata for Brazil and difference-in-differences, I find that innovation subsidies drive firm growth by facilitating firm entry into high-tariff markets with domestically produced versions of foreign goods. After receiving an innovation subsidy, firms issue more patents, expand their workforce, and diversify their product line. However, these patents receive minimal citations, while also heavily citing foreign patents. Firms increase imports of foreign inputs and expand their ...
Working Paper
Cross-border Patenting, Globalization, and Development
We build a quantitative model that captures the relationships between cross-border patenting, globalization, and development. Our theory delivers a ‘structural gravity’ equation for cross-border patents. To test the model’s predictions, we compile a new dataset that tracks patents within and between countries and industries over time. The econometric analysis reveals a strong, positive impact of policy and globalization on cross-border patent flows between 1995 and 2018, especially from North to South. A counterfactual analysis shows these North-to-South flows benefited both regions, ...
Working Paper
The Expansion of Varieties in the New Age of Advertising
The last decades have seen large improvements in digital advertising technology that allowed firms to better target specific consumer tastes. This research studies the relationship among digital advertising, the rise of varieties, and economic welfare. We develop a model of advertising and varieties where firms choose the intensity of digital ads directed at specific consumers as well as traditional ads that are undirected. The calibrated model shows that improvements in digital advertising have driven the rise in varieties over time. Empirical evidence is presented using detailed micro data ...
Report
The dual nature of trade: measuring its impact on imitation and growth
Imports of goods that embody foreign technology raise a country's output directly as inputs into production and indirectly through reverse-engineering of these goods, which contributes to domestic imitation and innovation. This paper first quantifies spillovers from high-technology imports from developed countries to domestic imitation and innovation in both developed and developing countries. It then considers the contribution of foreign and domestic innovation to real per capita GDP growth. ; International patent data for forty countries from 1970 to 1985 are used to create proxies for ...
Working Paper
Industrial Composition and Intergenerational Mobility
For five decades, the share of adults employed in college-degree-intensive industries, such as health care and education, has been rising. Industries that provided employment for workers without degrees, especially manufacturing, have been reducing their payrolls. This economic transition could impact the probability of children obtaining higher levels of education than their parents achieved. In this analysis, measures of the local industrial composition from the Current Population Survey are merged with the National Longitudinal Surveys of Youth using the confidential geo-coded records. ...
Working Paper
Learning, Prices, and Firm Dynamics
We document new facts about the evolution of firm performance and prices in international markets, and propose a theory of firm dynamics emphasizing the interaction between learning about demand and quality choice to explain the observed patterns. Using data from the Portuguese manufacturing sector, we find that: (1) firms with longer spells of activity in export destinations tend to ship larger quantities at lower prices; (2) older exporters tend to use more expensive inputs; (3) revenue growth within destinations (conditional on initial size) tends to decline with market experience; and (4) ...
Working Paper
Cross-border Patenting, Globalization, and Development
We build a stylized model that captures the relationships between cross-border patenting, globalization, and development. Our theory delivers a gravity equation for cross-border patents. To test the model’s predictions, we compile a new dataset that tracks patents within and between countries and industries, for 1980-2019. The econometric analysis reveals a strong, positive impact of policy and globalization on cross-border patent flows, especially from North to South. A counterfactual welfare analysis suggests that the increase in patent flows from North to South has benefited both ...
Working Paper
Minimum wages and firm employment: evidence from China
This paper studies how minimum wage policies affect firm employment in China using a unique county level minimum wage data set matched to disaggregated firm survey data. We investigate both the effect of imposing a minimum wage, and the effect of the policies that tightened enforcement in 2004. We find that the average effect of minimum wage changes is modest and positive, and that there is a detectable effect after enforcement reform. Firms have heterogeneous responses to minimum wage changes which can be accounted for by differences in their wage levels and profit margins: firms with high ...
Working Paper
Manufacturing Sentiment: Forecasting Industrial Production with Text Analysis
This paper examines the link between industrial production and the sentiment expressed in natural language survey responses from U.S. manufacturing firms. We compare several natural language processing (NLP) techniques for classifying sentiment, ranging from dictionary-based methods to modern deep learning methods. Using a manually labeled sample as ground truth, we find that deep learning models partially trained on a human-labeled sample of our data outperform other methods for classifying the sentiment of survey responses. Further, we capitalize on the panel nature of the data to train ...
Working Paper
Manufacturing Sentiment: Forecasting Industrial Production with Text Analysis
This paper examines the link between industrial production and the sentiment expressed in natural language survey responses from U.S. manufacturing firms. We compare several natural language processing (NLP) techniques for classifying sentiment, ranging from dictionary-based methods to modern deep learning methods. Using a manually labeled sample as ground truth, we find that deep learning models partially trained on a human-labeled sample of our data outperform other methods for classifying the sentiment of survey responses. Further, we capitalize on the panel nature of the data to train ...