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  • 1
    UID:
    almafu_9959780148202883
    Format: 1 online resource (41 pages)
    Series Statement: Policy research working papers.
    Content: This paper addresses several shortcomings in the productivity and markup estimation literature. Using Monte-Carlo simulations, the analysis shows that the methods in Ackerberg, Caves and Frazer (2015) and De Loecker and Warzynski (2012) produce biased estimates of the impact of policy variables on markups and productivity. This bias stems from endogeneity due to the following: (1) the functional form of the production function; (2) the omission of demand shifters; (3) the absence of price information; (4) the violation of the Markov process for productivity; and (5) misspecification when marginal costs are excluded in the estimation. The paper addresses these concerns using a quasi-maximum likelihood approach and a generalized estimator for the production function. It produces unbiased estimates of the impact of regulation on markups and productivity. The paper therefore proposes a work-around solution for the identification problem identified in Bond, Hashemi, Kaplan and Zoch (2020), and an unbiased measure of productivity, by directly accounting for the joint impact of regulation on markups and productivity.
    Language: English
    URL: Volltext  (kostenfrei)
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    UID:
    almafu_9959377663002883
    Format: 1 online resource (24 pages)
    Series Statement: Policy research working papers.
    Content: This paper proposes a leading indicator, the "Google Mobility Index," for nowcasting monthly industrial production growth rates in selected economies in Latin America and the Caribbean. The index is constructed using the Google COVID-19 Community Mobility Report database via a Kalman filter. The Google database is publicly available starting from February 15, 2020. The paper uses a backcasting methodology to increase the historical number of observations and then augments a lag of one week in the mobility data with other high-frequency data (air quality) over January 1, 2019 to April 30, 2020. Finally, mixed data sampling regression is implemented for nowcasting industrial production growth rates. The Google Mobility Index is a good predictor of industrial production. The results suggest a significant decline in output of between 5 and 7 percent for March and April, respectively, while indicating a trough in output in mid-April.
    Language: English
    URL: Volltext  (kostenfrei)
    Library Location Call Number Volume/Issue/Year Availability
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  • 3
    UID:
    gbv_1889386014
    Format: 1 Online-Ressource (84 pages)
    Series Statement: LAC Semiannual Report
    Content: Latin America and the Caribbean (LAC) has made slow but consistent progress addressing the imbalances induced by the pandemic in an international environment that is just now showing signs of stabilizing. Despite favorable macroeconomic management, high interest rates and fiscal imbalances remain challenging while growth rates remain lackluster due to long-standing structural issues. Looking forward, an aging workforce and rising violence will increasingly complicate policy. This report focuses particularly on weak competitive forces as a source of low productivity, low growth, and low welfare in LAC. It emphasizes the need for effective competition institutions, pro-competition regulatory frameworks, complementary policies to improve the capabilities of workers and firms, and enhanced innovation systems, to prepare local industries to reach the technological frontier and face global competition. Furthermore, the report underscores the need for reforms to prevent large businesses from exerting undue political influence over policy decisions
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9781464821110
    Language: English
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  • 4
    Online Resource
    Online Resource
    Washington, DC, USA : World Bank Group, Macroeconomics, Trade and Investment Global Practice
    UID:
    gbv_1665846526
    Format: 1 Online-Ressource (circa 42 Seiten) , Illustrationen
    Series Statement: Policy research working paper 8714
    Content: This paper uses a unique data set that captures the elimination of subnational regulatory barriers to firm entry and competition across 1,800 municipalities and matches it with establishment census panel data to estimate the impact on establishment productivity and markups. The elimination of local barriers that were inconsistent with national legislation was the result of legal reforms that strengthened the mandate of Peru's competition authority. Legislative changes in 2013/14 empowered the competition authority to enforce the elimination of illegal, sector-specific subnational regulatory barriers to firm entry and competition, conditional on the existence of a precedence. The changes provide a unique quasi-experimental setting to identify the impact of enforcing competition within the controlled institutional environment of a single country. The paper finds that the elimination of subnational barriers to entry boosted the (revenue) productivity of establishments operating in reform municipalities and sectors relative to establishments in nonreform municipalities/sectors. But it did not raise the establishments' markups, which, if anything, declined, suggesting that physical productivity improved. The paper provides a wide range of evidence supporting a causal interpretation of this finding. The results suggest that strengthening the mandate of institutions enforcing competition is critical to raise productivity
    Additional Edition: Erscheint auch als Druck-Ausgabe Schiffbauer, Marc Tobias Enforcing Competition and Firm Productivity: Evidence from 1,800 Peruvian Municipalities Washington, D.C : The World Bank, 2019
    Language: English
    Keywords: Graue Literatur
    URL: Volltext  (lizenzpflichtig)
    Author information: Schiffbauer, Marc 1978-
    Library Location Call Number Volume/Issue/Year Availability
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  • 5
    Online Resource
    Online Resource
    [Washington, DC, USA] : World Bank Group, Macroeconomics, Trade and Investment Global Practice
    UID:
    gbv_1723308757
    Format: 1 Online-Ressource (circa 24 Seiten) , Illustrationen
    Series Statement: Policy research working paper 9247
    Content: This paper proposes a leading indicator, the "Google Mobility Index," for nowcasting monthly industrial production growth rates in selected economies in Latin America and the Caribbean. The index is constructed using the Google COVID-19 Community Mobility Report database via a Kalman filter. The Google database is publicly available starting from February 15, 2020. The paper uses a backcasting methodology to increase the historical number of observations and then augments a lag of one week in the mobility data with other high-frequency data (air quality) over January 1, 2019 to April 30, 2020. Finally, mixed data sampling regression is implemented for nowcasting industrial production growth rates. The Google Mobility Index is a good predictor of industrial production. The results suggest a significant decline in output of between 5 and 7 percent for March and April, respectively, while indicating a trough in output in mid-April
    Additional Edition: Erscheint auch als Druck-Ausgabe Sampi, James Nowcasting Economic Activity in Times of COVID-19: An Approximation from the Google Community Mobility Report Washington, D.C : The World Bank, 2020
    Language: English
    Keywords: Graue Literatur
    Library Location Call Number Volume/Issue/Year Availability
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  • 6
    UID:
    edocfu_9959780148202883
    Format: 1 online resource (41 pages)
    Series Statement: Policy research working papers.
    Content: This paper addresses several shortcomings in the productivity and markup estimation literature. Using Monte-Carlo simulations, the analysis shows that the methods in Ackerberg, Caves and Frazer (2015) and De Loecker and Warzynski (2012) produce biased estimates of the impact of policy variables on markups and productivity. This bias stems from endogeneity due to the following: (1) the functional form of the production function; (2) the omission of demand shifters; (3) the absence of price information; (4) the violation of the Markov process for productivity; and (5) misspecification when marginal costs are excluded in the estimation. The paper addresses these concerns using a quasi-maximum likelihood approach and a generalized estimator for the production function. It produces unbiased estimates of the impact of regulation on markups and productivity. The paper therefore proposes a work-around solution for the identification problem identified in Bond, Hashemi, Kaplan and Zoch (2020), and an unbiased measure of productivity, by directly accounting for the joint impact of regulation on markups and productivity.
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 7
    UID:
    edoccha_9959780148202883
    Format: 1 online resource (41 pages)
    Series Statement: Policy research working papers.
    Content: This paper addresses several shortcomings in the productivity and markup estimation literature. Using Monte-Carlo simulations, the analysis shows that the methods in Ackerberg, Caves and Frazer (2015) and De Loecker and Warzynski (2012) produce biased estimates of the impact of policy variables on markups and productivity. This bias stems from endogeneity due to the following: (1) the functional form of the production function; (2) the omission of demand shifters; (3) the absence of price information; (4) the violation of the Markov process for productivity; and (5) misspecification when marginal costs are excluded in the estimation. The paper addresses these concerns using a quasi-maximum likelihood approach and a generalized estimator for the production function. It produces unbiased estimates of the impact of regulation on markups and productivity. The paper therefore proposes a work-around solution for the identification problem identified in Bond, Hashemi, Kaplan and Zoch (2020), and an unbiased measure of productivity, by directly accounting for the joint impact of regulation on markups and productivity.
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 8
    UID:
    edoccha_9959377663002883
    Format: 1 online resource (24 pages)
    Series Statement: Policy research working papers.
    Content: This paper proposes a leading indicator, the "Google Mobility Index," for nowcasting monthly industrial production growth rates in selected economies in Latin America and the Caribbean. The index is constructed using the Google COVID-19 Community Mobility Report database via a Kalman filter. The Google database is publicly available starting from February 15, 2020. The paper uses a backcasting methodology to increase the historical number of observations and then augments a lag of one week in the mobility data with other high-frequency data (air quality) over January 1, 2019 to April 30, 2020. Finally, mixed data sampling regression is implemented for nowcasting industrial production growth rates. The Google Mobility Index is a good predictor of industrial production. The results suggest a significant decline in output of between 5 and 7 percent for March and April, respectively, while indicating a trough in output in mid-April.
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 9
    UID:
    edocfu_9959377663002883
    Format: 1 online resource (24 pages)
    Series Statement: Policy research working papers.
    Content: This paper proposes a leading indicator, the "Google Mobility Index," for nowcasting monthly industrial production growth rates in selected economies in Latin America and the Caribbean. The index is constructed using the Google COVID-19 Community Mobility Report database via a Kalman filter. The Google database is publicly available starting from February 15, 2020. The paper uses a backcasting methodology to increase the historical number of observations and then augments a lag of one week in the mobility data with other high-frequency data (air quality) over January 1, 2019 to April 30, 2020. Finally, mixed data sampling regression is implemented for nowcasting industrial production growth rates. The Google Mobility Index is a good predictor of industrial production. The results suggest a significant decline in output of between 5 and 7 percent for March and April, respectively, while indicating a trough in output in mid-April.
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 10
    UID:
    gbv_1759618144
    Format: 1 Online-Ressource
    Series Statement: Policy Research Working Paper No. 9523
    Content: This paper addresses several shortcomings in the productivity and markup estimation literature. Using Monte-Carlo simulations, the analysis shows that the methods in Ackerberg, Caves and Frazer (2015) and De Loecker and Warzynski (2012) produce biased estimates of the impact of policy variables on markups and productivity. This bias stems from endogeneity due to the following: (1) the functional form of the production function; (2) the omission of demand shifters; (3) the absence of price information; (4) the violation of the Markov process for productivity; and (5) misspecification when marginal costs are excluded in the estimation. The paper addresses these concerns using a quasi-maximum likelihood approach and a generalized estimator for the production function. It produces unbiased estimates of the impact of regulation on markups and productivity. The paper therefore proposes a work-around solution for the identification problem identified in Bond, Hashemi, Kaplan and Zoch (2020), and an unbiased measure of productivity, by directly accounting for the joint impact of regulation on markups and productivity
    Note: English
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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